Pub Date : 2023-11-12DOI: 10.1080/14484846.2023.2276987
J Kumaraswamy, K C Anil, T R Veena, Mahadeva Reddy, K Sunil Kumar
ABSTRACTAluminium alloys are employed in advanced applications due to their desirable combination of low density, high strength, durability, availability, and cost vs. competing materials. The characteristics described above can be increased further by employing aluminium matrix composite materials reinforced with harder particles. The hybrid aluminium alloy (Al7075) composite was made in an electric resistance furnace using the sand mould process and reinforced with alumina (Al2O3) and boron carbide (B4C) particles. The purpose of this research to investigate the mechanical characteristics of Al7075-Al2O3-B4C hybrid composites with stable Al2O3 weight percentages (4%) and varied B4C weight percentages (2–6%). Mechanical characteristics includes tensile and compressive strength, hardness, and microstructure analysis were evaluated on the pure and cast specimens. In this study, which followed the ASTM standard, the mechanical characteristics of Al7075 alloy hybrid composites were examined experimentally and validated using FEA. The results showed that when hard ceramic particles (Al2O3/B4C) were added to matrix alloy (Al7075), mechanical characteristics such as compressive strength and hardness improved while tensile strength was reduced. The static structural tensile test was successfully simulated in ANSYS. It was observed that both FEA results and analytical results were correlated.KEYWORDS: Al7075Al2O3, B4CmicrostructureMechanical behaviourFEM Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationNotes on contributorsJ KumaraswamyDr. Kumaraswamy J is currently working as an Assistant Professor in the Dept. of Mechanical Engineering at R. L. Jalappa Institute of Technology in Doddaballapur, Bangalore Rural. He earned his Ph.D., from UBDT College of Engineering at Visvesvaraya Technological University (VTU), Belagavi, India. He has 10 years of teaching experience and serves as the Editor of the International Journal of Mechanical Engineering (IJME). He has published 19 research papers in international journals, including 2 in SCI-indexed journals and 17 in Scopus-indexed journals. His H-Index is 12, I-Index is 13, and his work has received a total of 400 citations. His research interests encompass materials science.K C AnilDr. Anil K C, Assistant Professor, Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumkur. He obtained his Bachelor of Engineering degree in Industrial Engineering and Management during the year 2010 and completed his masters in production technology in the year 2013 and Ph.D. from Visvesvaraya Technological University (VTU), Belagavi, India.T R VeenaDr. T.R. Veena is working as an Assistant Professor in Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, BH Road, Tu
与竞争材料相比,铝合金具有低密度、高强度、耐用性、可用性和成本等优点,因此在先进应用中得到广泛应用。通过采用用更硬的颗粒增强的铝基复合材料,可以进一步增加上述特性。采用砂模法在电阻炉中制备了混杂铝合金(Al7075)复合材料,并用氧化铝(Al2O3)和碳化硼(B4C)颗粒进行增强。研究了Al2O3质量百分比稳定(4%)和B4C质量百分比变化(2-6%)的Al7075-Al2O3-B4C混杂复合材料的力学特性。力学特性包括抗拉和抗压强度、硬度和显微组织分析对纯和铸造试样进行了评估。本研究遵循ASTM标准,对Al7075合金混杂复合材料的力学特性进行了实验研究,并利用有限元分析对其进行了验证。结果表明:在基体合金(Al7075)中加入硬质陶瓷颗粒(Al2O3/B4C),可提高合金的抗压强度和硬度,降低抗拉强度;在ANSYS中成功地模拟了结构的静力拉伸试验。结果表明,有限元分析结果与分析结果具有一定的相关性。关键词:Al7075Al2O3, b4c,显微结构,力学行为,有限元披露声明作者未报告潜在的利益冲突。数据可用性声明支持本研究结果的数据可在合理要求下从通讯作者处获得。作者简介:j KumaraswamyDr。Kumaraswamy J目前在班加罗尔农村Doddaballapur的R. L. Jalappa理工学院机械工程系担任助理教授。他获得博士学位,毕业于位于印度Belagavi的Visvesvaraya科技大学(VTU)的UBDT工程学院。他有10年的教学经验,并担任国际机械工程杂志(IJME)的编辑。在国际期刊发表研究论文19篇,其中sci收录2篇,scopus收录17篇。H-Index为12,I-Index为13,共被引用400次。他的研究兴趣包括材料科学。阿尼尔博士。Anil K C,图姆库尔Siddaganga理工学院工业工程与管理系助理教授。他于2010年获得工业工程与管理学士学位,并于2013年获得生产技术硕士学位,并于印度Belagavi的Visvesvaraya Technological University (VTU)获得博士学位。T R VeenaDr。T.R. Veena是Siddaganga理工学院工业工程与管理系的助理教授,位于BH Road, Tumakuru-572103。她自2000年以来一直在这个部门工作。摩诃提婆ReddyDr。Mahadeva Reddy目前是Genba Sopanrao Moze工程学院机械工程系的助理教授,该学院位于巴勒瓦迪普纳- 411045 Maharashtra。他在印度比拉加维维斯瓦拉亚理工大学(VTU)获得博士学位。苏尼尔·库马尔博士Sunil Kumar K获得Visvesvaraya Technology University, Belagavi的博士学位,Sri Siddhartha Institute of Technology, Tumkur的硕士学位,R L Jalappa Institute of Technology, Doddaballapur的学位。
{"title":"Influence of particulates on microstructure, Mechanical and Fractured behaviour on Al-7075 alloy composite by FEA","authors":"J Kumaraswamy, K C Anil, T R Veena, Mahadeva Reddy, K Sunil Kumar","doi":"10.1080/14484846.2023.2276987","DOIUrl":"https://doi.org/10.1080/14484846.2023.2276987","url":null,"abstract":"ABSTRACTAluminium alloys are employed in advanced applications due to their desirable combination of low density, high strength, durability, availability, and cost vs. competing materials. The characteristics described above can be increased further by employing aluminium matrix composite materials reinforced with harder particles. The hybrid aluminium alloy (Al7075) composite was made in an electric resistance furnace using the sand mould process and reinforced with alumina (Al2O3) and boron carbide (B4C) particles. The purpose of this research to investigate the mechanical characteristics of Al7075-Al2O3-B4C hybrid composites with stable Al2O3 weight percentages (4%) and varied B4C weight percentages (2–6%). Mechanical characteristics includes tensile and compressive strength, hardness, and microstructure analysis were evaluated on the pure and cast specimens. In this study, which followed the ASTM standard, the mechanical characteristics of Al7075 alloy hybrid composites were examined experimentally and validated using FEA. The results showed that when hard ceramic particles (Al2O3/B4C) were added to matrix alloy (Al7075), mechanical characteristics such as compressive strength and hardness improved while tensile strength was reduced. The static structural tensile test was successfully simulated in ANSYS. It was observed that both FEA results and analytical results were correlated.KEYWORDS: Al7075Al2O3, B4CmicrostructureMechanical behaviourFEM Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationNotes on contributorsJ KumaraswamyDr. Kumaraswamy J is currently working as an Assistant Professor in the Dept. of Mechanical Engineering at R. L. Jalappa Institute of Technology in Doddaballapur, Bangalore Rural. He earned his Ph.D., from UBDT College of Engineering at Visvesvaraya Technological University (VTU), Belagavi, India. He has 10 years of teaching experience and serves as the Editor of the International Journal of Mechanical Engineering (IJME). He has published 19 research papers in international journals, including 2 in SCI-indexed journals and 17 in Scopus-indexed journals. His H-Index is 12, I-Index is 13, and his work has received a total of 400 citations. His research interests encompass materials science.K C AnilDr. Anil K C, Assistant Professor, Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumkur. He obtained his Bachelor of Engineering degree in Industrial Engineering and Management during the year 2010 and completed his masters in production technology in the year 2013 and Ph.D. from Visvesvaraya Technological University (VTU), Belagavi, India.T R VeenaDr. T.R. Veena is working as an Assistant Professor in Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, BH Road, Tu","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"79 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135036972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.1080/14484846.2023.2272329
Paul Gregory Felix, Velavan Rajagopal, Kannan Kumaresan
ABSTRACTErythritol ((2 R,3S)-Butane-1,2,3,4-tetrol) is being considered as a phase change material (PCM) of interest owing to its potential applicability for solar thermal applications. But however, lack of inclusive material characterisation outcomes drives the need to bridge this research gap. In this study, erythritol was subjected to both chemical and thermal characterisation investigations. X-ray diffractometry (XRD) investigation estimated the degree of crystallinity to be 73.48% and the crystallite size to be 38.79 nm. The fourier transform infrared spectroscopy (FT-IR) investigation has identified -OH, -C-H and -CH2 to be the major functional groups. The scanning electron microscopy (SEM) investigation visualised the crystalline architecture of the PCM. The energy dispersive x-ray spectroscopy (EDAX) investigation quantified the composition of C and O in the eclectic constituency. The UV-visible spectrophotometry investigations confirmed that erythritol could be utilised for direct solar thermal applications. The thermal characterisation investigations rendered the latent heat of the PCM to be 333.48 kJ kg−1 and its peak melting temperature to be 118.18°C. The thermal stability investigations estimated the latent heat loss per cycle to be 1.1451 kJ kg−1.KEYWORDS: Characterisationphase change materialsthermal energy storage Nomenclature β=Full width at half maximum (FWHM) (radians)λ=Wave-length of x-ray (Å)ρ=Bulk density of erythritol (kg m−3)ρxr=X-ray density of erythritol (kg m−3)θ=Peak location (radians)Ag=Avagadro’s constant (or) Avagadro’s number: 6.02214076 × 10 23Cpl=Liquid phase specific heat (kJ kg−1 K)Cps=Solid phase specific heat (kJ kg−1 K)hm=Latent heat of fusion (kJ kg−1)M=Molecular weight of erythritol (g mol−1)Qm=Heat energy required for melting alone (kJ)Qls=Heat energy stored during liquid sensible heating (kJ)Qss=Heat energy stored during solid sensible heating (kJ)Tamb=Ambient temperature (K)Tpm=Peak melting temperature (K)V=Volume of the unit cell (m3)A=Absorbance (%)D=crystallite size (nm)K=Scherrer equation constantm=Mass of erythritol used (kg)Q(t)=Instantaneous heat energy stored (kJ)R=Reflectance (%)T=Transmittance (%)AcknowledgementsThe authors thank the Department of Science and Technology (DST), Government of India and the management of PSG College of Technology, Coimbatore for their financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Department of Science and Technology (DST), Government of India under Grant No.: DST/TMD/MES/2K16/20(G).Notes on contributorsPaul Gregory FelixPaul Gregory Felix holds a doctoral degree in Energy Engineering. He is currently affiliated with Sri Krishna College of Technology, Coimbatore as an Assistant Professor. He is a practising engineer and a consultant Chartered Mechanical Engineer licensed by The Institution of Engineers (India). His fields of expertise include phase ch
{"title":"Characterisation of erythritol as a potential phase change material","authors":"Paul Gregory Felix, Velavan Rajagopal, Kannan Kumaresan","doi":"10.1080/14484846.2023.2272329","DOIUrl":"https://doi.org/10.1080/14484846.2023.2272329","url":null,"abstract":"ABSTRACTErythritol ((2 R,3S)-Butane-1,2,3,4-tetrol) is being considered as a phase change material (PCM) of interest owing to its potential applicability for solar thermal applications. But however, lack of inclusive material characterisation outcomes drives the need to bridge this research gap. In this study, erythritol was subjected to both chemical and thermal characterisation investigations. X-ray diffractometry (XRD) investigation estimated the degree of crystallinity to be 73.48% and the crystallite size to be 38.79 nm. The fourier transform infrared spectroscopy (FT-IR) investigation has identified -OH, -C-H and -CH2 to be the major functional groups. The scanning electron microscopy (SEM) investigation visualised the crystalline architecture of the PCM. The energy dispersive x-ray spectroscopy (EDAX) investigation quantified the composition of C and O in the eclectic constituency. The UV-visible spectrophotometry investigations confirmed that erythritol could be utilised for direct solar thermal applications. The thermal characterisation investigations rendered the latent heat of the PCM to be 333.48 kJ kg−1 and its peak melting temperature to be 118.18°C. The thermal stability investigations estimated the latent heat loss per cycle to be 1.1451 kJ kg−1.KEYWORDS: Characterisationphase change materialsthermal energy storage Nomenclature β=Full width at half maximum (FWHM) (radians)λ=Wave-length of x-ray (Å)ρ=Bulk density of erythritol (kg m−3)ρxr=X-ray density of erythritol (kg m−3)θ=Peak location (radians)Ag=Avagadro’s constant (or) Avagadro’s number: 6.02214076 × 10 23Cpl=Liquid phase specific heat (kJ kg−1 K)Cps=Solid phase specific heat (kJ kg−1 K)hm=Latent heat of fusion (kJ kg−1)M=Molecular weight of erythritol (g mol−1)Qm=Heat energy required for melting alone (kJ)Qls=Heat energy stored during liquid sensible heating (kJ)Qss=Heat energy stored during solid sensible heating (kJ)Tamb=Ambient temperature (K)Tpm=Peak melting temperature (K)V=Volume of the unit cell (m3)A=Absorbance (%)D=crystallite size (nm)K=Scherrer equation constantm=Mass of erythritol used (kg)Q(t)=Instantaneous heat energy stored (kJ)R=Reflectance (%)T=Transmittance (%)AcknowledgementsThe authors thank the Department of Science and Technology (DST), Government of India and the management of PSG College of Technology, Coimbatore for their financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Department of Science and Technology (DST), Government of India under Grant No.: DST/TMD/MES/2K16/20(G).Notes on contributorsPaul Gregory FelixPaul Gregory Felix holds a doctoral degree in Energy Engineering. He is currently affiliated with Sri Krishna College of Technology, Coimbatore as an Assistant Professor. He is a practising engineer and a consultant Chartered Mechanical Engineer licensed by The Institution of Engineers (India). His fields of expertise include phase ch","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135285975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-30DOI: 10.1080/14484846.2023.2275034
Gregory McLachlan, Van Thanh Dau, Peter Woodfield
The ability to convert waste plastic into combustible liquids and gases using solar energy could help transform the problem of disposal of non-recyclable plastic into a valuable and environmentally responsible source of fuel. The purpose of this study is to propose a practical model for a compound parabolic trough solar thermal reactor for pyrolysis of waste plastic. The model integrates predictions of energy available from solar radiation (at a given location, time of day and time of year) with parabolic trough collector orientation and efficiency, a transient energy balance for an evacuated tube reactor and pyrolysis kinetics of waste plastic. The experimental setup used to test the model includes a pyranometer, a commercial solar collector consisting of a 60 cm long evacuated tube with a compound parabolic reflector and multi-channel data loggers to collect temperature, humidity and radiation data. The solar radiation sub-model was found to be in excellent agreement with clear-sky irradiance data collected using the pyranometer. Predictions of reactor temperature and reaction rate were found to be sensitive to the concentrator aperture area, solar irradiance, type of plastic (Arrhenius kinetics) and radiation properties of the evacuated tube reactor but relatively insensitive to humidity, wind velocity and terrestrial irradiance. The model shows that even on a small scale, favourable conditions for pyrolysis of waste plastic can be achieved within a solar reactor.
{"title":"Solar thermal reactor model for pyrolysis of waste plastic","authors":"Gregory McLachlan, Van Thanh Dau, Peter Woodfield","doi":"10.1080/14484846.2023.2275034","DOIUrl":"https://doi.org/10.1080/14484846.2023.2275034","url":null,"abstract":"The ability to convert waste plastic into combustible liquids and gases using solar energy could help transform the problem of disposal of non-recyclable plastic into a valuable and environmentally responsible source of fuel. The purpose of this study is to propose a practical model for a compound parabolic trough solar thermal reactor for pyrolysis of waste plastic. The model integrates predictions of energy available from solar radiation (at a given location, time of day and time of year) with parabolic trough collector orientation and efficiency, a transient energy balance for an evacuated tube reactor and pyrolysis kinetics of waste plastic. The experimental setup used to test the model includes a pyranometer, a commercial solar collector consisting of a 60 cm long evacuated tube with a compound parabolic reflector and multi-channel data loggers to collect temperature, humidity and radiation data. The solar radiation sub-model was found to be in excellent agreement with clear-sky irradiance data collected using the pyranometer. Predictions of reactor temperature and reaction rate were found to be sensitive to the concentrator aperture area, solar irradiance, type of plastic (Arrhenius kinetics) and radiation properties of the evacuated tube reactor but relatively insensitive to humidity, wind velocity and terrestrial irradiance. The model shows that even on a small scale, favourable conditions for pyrolysis of waste plastic can be achieved within a solar reactor.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136019328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1080/14484846.2023.2268444
Mohammad Salehi, Jamal Zamani, Siavash Moayedi Manizani
ABSTRACTOne of the fundamental issues in additive manufacturing processes is layer-by-layer printing, which influences printing time and part surface quality. One way to overcome this difficulty is continuous liquid interface production (CLIP), which has enabled the mass manufacture of polymer components through continuous printing. Due to a limitation in access to this system, different oxygen gas permeable windows composed of polydimethylsiloxane polymer with variable substrate shapes were introduced and evaluated in this research. The aim of this study is to improve the printing speed of porous components in a layerless uniform 3D printing system as compared to Digital light processing (DLP). The results of these experiments show that the island container, compared to the micro-channel container, has a 107% increase in the duration of continuous printing before the separation force begins, enhances the component’s look, increases the height of the printed part by 30%, and decreases the maximum separation force by 7.4 times.KEYWORDS: Additive manufacturingcontinuous liquid interface productionoxygen control zonelayerless uniform 3D printing Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, M.Salehi, upon reasonable request.Additional informationNotes on contributorsMohammad SalehiMohammad Salehi, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Manufacturing engineering from Arak University of Technology.Jamal ZamaniJamal Zamani, Professor of Mechanics Engineering at the University of KNTU, Tehran, Iran. He received his PhD in Mechanical Engineering from Tarbiat Modares University, Iran.Siavash Moayedi ManizaniSiavash Moayedi Manizani, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Robotic Engineering from Islamic Azad University, Science and Research Branch, Tehran.
摘要增材制造工艺的一个基本问题是逐层打印,它影响打印时间和零件表面质量。克服这一困难的一种方法是连续液界面生产(CLIP),它可以通过连续打印实现聚合物组件的大规模生产。由于该系统的可及性有限,本研究引入并评估了由不同基底形状的聚二甲基硅氧烷聚合物组成的不同透氧窗口。本研究的目的是与数字光处理(DLP)相比,在无层均匀3D打印系统中提高多孔部件的打印速度。实验结果表明,与微通道容器相比,岛式容器在分离力开始前的连续打印时间增加了107%,组件外观增强,打印部件高度增加了30%,最大分离力降低了7.4倍。关键词:增材制造连续液界面生产氧控制区无层均匀3D打印披露声明作者未报告潜在利益冲突。数据可用性声明支持本研究结果的数据可应通讯作者M.Salehi的合理要求获得。mohammad Salehi,是伊朗德黑兰KNTU大学机械工程系的硕士生。他在Arak University of Technology获得制造工程学士学位。Jamal Zamani,伊朗德黑兰KNTU大学机械工程教授。他在伊朗Tarbiat Modares大学获得机械工程博士学位。Siavash Moayedi Manizani,是伊朗德黑兰KNTU大学机械工程系的硕士生。他获得了德黑兰伊斯兰阿扎德大学科学与研究部机器人工程学士学位。
{"title":"Experimental investigation of the effect of the PDMS material’s oxygen- permeable window geometry on layerless uniform 3D printing","authors":"Mohammad Salehi, Jamal Zamani, Siavash Moayedi Manizani","doi":"10.1080/14484846.2023.2268444","DOIUrl":"https://doi.org/10.1080/14484846.2023.2268444","url":null,"abstract":"ABSTRACTOne of the fundamental issues in additive manufacturing processes is layer-by-layer printing, which influences printing time and part surface quality. One way to overcome this difficulty is continuous liquid interface production (CLIP), which has enabled the mass manufacture of polymer components through continuous printing. Due to a limitation in access to this system, different oxygen gas permeable windows composed of polydimethylsiloxane polymer with variable substrate shapes were introduced and evaluated in this research. The aim of this study is to improve the printing speed of porous components in a layerless uniform 3D printing system as compared to Digital light processing (DLP). The results of these experiments show that the island container, compared to the micro-channel container, has a 107% increase in the duration of continuous printing before the separation force begins, enhances the component’s look, increases the height of the printed part by 30%, and decreases the maximum separation force by 7.4 times.KEYWORDS: Additive manufacturingcontinuous liquid interface productionoxygen control zonelayerless uniform 3D printing Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, M.Salehi, upon reasonable request.Additional informationNotes on contributorsMohammad SalehiMohammad Salehi, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Manufacturing engineering from Arak University of Technology.Jamal ZamaniJamal Zamani, Professor of Mechanics Engineering at the University of KNTU, Tehran, Iran. He received his PhD in Mechanical Engineering from Tarbiat Modares University, Iran.Siavash Moayedi ManizaniSiavash Moayedi Manizani, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Robotic Engineering from Islamic Azad University, Science and Research Branch, Tehran.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135992859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11DOI: 10.1080/14484846.2023.2252641
Ehsan Azish, Ehsanolah Assareh, Behzad Azizimehr, Moonyong Lee
ABSTRACTThe present study investigates the thermodynamics analysis of a trigeneration system using a gasifier system. An Organic Rankine Cycle (ORC) system is used to heat recovery and consequently, supplying the cooling demand. The first and second laws of thermodynamics are used to energy and exergy analysis of the system. Some thermodynamic parameters which affect the system performance including combustion temperature, gasifier temperature, compressor isentropic efficiency, gas turbine isentropic efficiency, compressor pressure ratio, and ORC pressure are parametrically analysed and their contribution in improving the efficiency and economy of the system is investigated. To the sustainable performance of the combined system, we need an evolutionary algorithm to identify the optimum values of thermodynamic parameters that have an impact on system performance. Hence, the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is used to find the best values of decision variables. The most striking result to emerge from the optimisation.optimisation is that implementing the MOPSO algorithm improves the exergy efficiency by 5.17% and reduces the total cost of the system by 1.9%.KEYWORDS: Gasifierbiomass energyOrganic Rankine cycleMOPSO algorithmexergoeconomic analysis Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.Additional informationNotes on contributorsEhsan AzishEhsan Azish is a PhD student in Mechanical Engineering, specializing in Energy Conversion at Dezful Azad University.Ehsanolah AssarehEhsanolah Assareh Assistant Professor (PhD) at YU University (South Korea) and IAUD University (Iran), specializing in Renewable Energy.Behzad AzizimehrBehzad Azizimehr is a PhD student in Mechanical Engineering, specializing in Energy Conversion, and he works as an engineer and supervisor for Solar Energy Systems at Gamma Energy Company.Moonyong LeeMoonyong Lee is a Professor in the School of Chemical Engineering at Yeungnam University, specializing in Process optimization.
{"title":"Exergoeconomic analysis of an integrated electric power generation system based on biomass energy and Organic Rankine cycle","authors":"Ehsan Azish, Ehsanolah Assareh, Behzad Azizimehr, Moonyong Lee","doi":"10.1080/14484846.2023.2252641","DOIUrl":"https://doi.org/10.1080/14484846.2023.2252641","url":null,"abstract":"ABSTRACTThe present study investigates the thermodynamics analysis of a trigeneration system using a gasifier system. An Organic Rankine Cycle (ORC) system is used to heat recovery and consequently, supplying the cooling demand. The first and second laws of thermodynamics are used to energy and exergy analysis of the system. Some thermodynamic parameters which affect the system performance including combustion temperature, gasifier temperature, compressor isentropic efficiency, gas turbine isentropic efficiency, compressor pressure ratio, and ORC pressure are parametrically analysed and their contribution in improving the efficiency and economy of the system is investigated. To the sustainable performance of the combined system, we need an evolutionary algorithm to identify the optimum values of thermodynamic parameters that have an impact on system performance. Hence, the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is used to find the best values of decision variables. The most striking result to emerge from the optimisation.optimisation is that implementing the MOPSO algorithm improves the exergy efficiency by 5.17% and reduces the total cost of the system by 1.9%.KEYWORDS: Gasifierbiomass energyOrganic Rankine cycleMOPSO algorithmexergoeconomic analysis Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.Additional informationNotes on contributorsEhsan AzishEhsan Azish is a PhD student in Mechanical Engineering, specializing in Energy Conversion at Dezful Azad University.Ehsanolah AssarehEhsanolah Assareh Assistant Professor (PhD) at YU University (South Korea) and IAUD University (Iran), specializing in Renewable Energy.Behzad AzizimehrBehzad Azizimehr is a PhD student in Mechanical Engineering, specializing in Energy Conversion, and he works as an engineer and supervisor for Solar Energy Systems at Gamma Energy Company.Moonyong LeeMoonyong Lee is a Professor in the School of Chemical Engineering at Yeungnam University, specializing in Process optimization.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136098392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1080/14484846.2023.2259729
Tieheng Yuan, Wenquan Sun, Tingsong Yang, Anrui He
ABSTRACTEnsuring product quality requires the accurate detection of strip flatness during cold rolling. For cold rolling mills with intermediate roll shifting control, the uneven stiffness induced by the shifting process can cause the strip to tilt in the mill, which can affect the accuracy of strip flatness detection. In this study, the strip tilt is defined, and a finite element model of the S6-high mill is constructed using ABAQUS software to study the strip’s deflection and flattening behaviour during the rolling process and the effect of different rolling process parameters on the strip tilt. The specific spatial position of the rolls during the rolling process is also examined, and the main structure of the mill is identified as the primary cause of strip tilt. This research provides a theoretical basis for the strip’s absolute position change in the rolling process, which can enhance the measurement accuracy of flatness detection roll in the future.KEYWORDS: Tilting of stripfinite element analysisroll deflection Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data and material supporting the findings of this work are available within the article.Additional informationNotes on contributorsTieheng YuanTieheng Yuan, Male, 1997-, Doctoral candidates, University of Science and Technology Beijing. Main research interests are: accurate control of cold rolling profile and flatness, optimal control of cold rolling automation system.Wenquan SunWenquan Sun, Male, 1982-, PhD, Associate Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process modelling and control of big data, multi-process quality control of strip products, process modelling and control theory of large equipment, strip flatness and quality control of cold rolled products.Tingsong YangTingsong Yang, Male, 1996-, Postdoctor, University of Science and Technology Beijing. Main research interests are: electromagnetic assisted flatness control for cold rolling, ontelligent production stability control in continuous withdrawal process.Anrui HeAnrui He, Male, 1972-, Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process control, industrial big data application, virtual simulation and digital twin.
{"title":"Research on the mechanism and law of strip tilt induced by cold rolling intermediate roll shifting","authors":"Tieheng Yuan, Wenquan Sun, Tingsong Yang, Anrui He","doi":"10.1080/14484846.2023.2259729","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259729","url":null,"abstract":"ABSTRACTEnsuring product quality requires the accurate detection of strip flatness during cold rolling. For cold rolling mills with intermediate roll shifting control, the uneven stiffness induced by the shifting process can cause the strip to tilt in the mill, which can affect the accuracy of strip flatness detection. In this study, the strip tilt is defined, and a finite element model of the S6-high mill is constructed using ABAQUS software to study the strip’s deflection and flattening behaviour during the rolling process and the effect of different rolling process parameters on the strip tilt. The specific spatial position of the rolls during the rolling process is also examined, and the main structure of the mill is identified as the primary cause of strip tilt. This research provides a theoretical basis for the strip’s absolute position change in the rolling process, which can enhance the measurement accuracy of flatness detection roll in the future.KEYWORDS: Tilting of stripfinite element analysisroll deflection Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data and material supporting the findings of this work are available within the article.Additional informationNotes on contributorsTieheng YuanTieheng Yuan, Male, 1997-, Doctoral candidates, University of Science and Technology Beijing. Main research interests are: accurate control of cold rolling profile and flatness, optimal control of cold rolling automation system.Wenquan SunWenquan Sun, Male, 1982-, PhD, Associate Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process modelling and control of big data, multi-process quality control of strip products, process modelling and control theory of large equipment, strip flatness and quality control of cold rolled products.Tingsong YangTingsong Yang, Male, 1996-, Postdoctor, University of Science and Technology Beijing. Main research interests are: electromagnetic assisted flatness control for cold rolling, ontelligent production stability control in continuous withdrawal process.Anrui HeAnrui He, Male, 1972-, Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process control, industrial big data application, virtual simulation and digital twin.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135387435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1080/14484846.2023.2259725
Umesh Kumar Singh, Avanish Kumar Dubey
ABSTRACTMagnesium (Mg) alloys are used more frequently as a replacement for heavier structural materials because of their advantageous specific strength and eco-friendly attributes. Their fusion welding is a difficult process, but the friction stir welding (FSW) offers a potential solution to these issues. In this study, a thermal analysis is carried out to obtain the temperature distribution and residual stresses related to FSW of different Mg-Al-Zn series Mg alloys under different processing conditions. The highest temperature recorded at the centre of the weld was 544.04°C, while the average von Mises stress during welding was 185.07 MPa. These values were achieved with a tool rotational speed of 1000 rpm, welding speed of 40 mm/min, and a tool shoulder diameter of 21 mm. The temperatures obtained through the numerical model were validated by comparing them with experimental data. During the experimental analysis, small cracks were observed at the centre of the welded joint, resulting from the formation of MgO. The welded joint exhibited a maximum tensile strength of 234.86 MPa, which is approximately 90% of the stronger AZ31 Mg alloy.KEYWORDS: Dissimilar magnesium alloystemperatureresidual stressesmicrostructuretensile strengthfriction stir weldingthermal analysis AcknowledgementsAuthors would like to acknowledge the research assistantship provided by UGC New Delhi, India, and MNNIT Allahabad, Prayagraj, U.P., India (under TEQIP-III scheme).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsUmesh Kumar SinghUmesh Kumar Singh earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published research articles in various refereed International Journals and Conferences. His are of research is Friction Stir Welding.Avanish Kumar DubeyAvanish Kumar Dubey earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published many research articles in various refereed International and National Journals and Conferences. Currently, he is working as a Professor in the Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. His areas of interests are Laser Material Processing and Advanced Manufacturing Processes, Modeling and Optimization of Manufacturing Processes.
{"title":"Numerical assessment of temperature and stresses in friction stir welding of dissimilar Mg-Al-Zn alloys","authors":"Umesh Kumar Singh, Avanish Kumar Dubey","doi":"10.1080/14484846.2023.2259725","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259725","url":null,"abstract":"ABSTRACTMagnesium (Mg) alloys are used more frequently as a replacement for heavier structural materials because of their advantageous specific strength and eco-friendly attributes. Their fusion welding is a difficult process, but the friction stir welding (FSW) offers a potential solution to these issues. In this study, a thermal analysis is carried out to obtain the temperature distribution and residual stresses related to FSW of different Mg-Al-Zn series Mg alloys under different processing conditions. The highest temperature recorded at the centre of the weld was 544.04°C, while the average von Mises stress during welding was 185.07 MPa. These values were achieved with a tool rotational speed of 1000 rpm, welding speed of 40 mm/min, and a tool shoulder diameter of 21 mm. The temperatures obtained through the numerical model were validated by comparing them with experimental data. During the experimental analysis, small cracks were observed at the centre of the welded joint, resulting from the formation of MgO. The welded joint exhibited a maximum tensile strength of 234.86 MPa, which is approximately 90% of the stronger AZ31 Mg alloy.KEYWORDS: Dissimilar magnesium alloystemperatureresidual stressesmicrostructuretensile strengthfriction stir weldingthermal analysis AcknowledgementsAuthors would like to acknowledge the research assistantship provided by UGC New Delhi, India, and MNNIT Allahabad, Prayagraj, U.P., India (under TEQIP-III scheme).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsUmesh Kumar SinghUmesh Kumar Singh earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published research articles in various refereed International Journals and Conferences. His are of research is Friction Stir Welding.Avanish Kumar DubeyAvanish Kumar Dubey earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published many research articles in various refereed International and National Journals and Conferences. Currently, he is working as a Professor in the Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. His areas of interests are Laser Material Processing and Advanced Manufacturing Processes, Modeling and Optimization of Manufacturing Processes.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-21DOI: 10.1080/14484846.2023.2259709
Cádmo Augusto Rodrigues Dias, Jánes Landre Júnior
ABSTRACTArtificial intelligence (AI) techniques are a reality in the most diverse engineering research and, intuitively, the same is true for automotive development. Meanwhile, driver-in-the-loop (DiL) simulation allows researchers to develop and test different vehicles and correlated systems without the need to build physical prototypes. Considering the increasing goal of reducing cost, project time, and most importantly the impact on the environment, the advantages of DiL simulation become even higher. In this scenario and given the growing need for analysis of considerably large sets of data obtained especially by the use of simulators, the present work undertakes a literature review regarding the use of artificial intelligence in driver-in-the-loop simulations. To do so, some keywords are defined as some boundary conditions also are, e.g. how old the paper is aiming not to consider outdated tools and technologies. Passing through three eliminatory revision steps, the full text of the final selected works is read with the aim to define where the research that uses IA and DiL simulation is aimed. The findings suggest that most of the works use the aforementioned tools to develop autonomous vehicles and their correlated systems. Finally, a discussion about this result is proposed and then a guideline for amplifying the reach of the present literature review is suggested.KEYWORDS: Artificial intelligencedriver-in-the-loop simulatorliterature reviewvehicle dynamicsvirtual simulation AcknowledgementsThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article or its supplementary materials.Additional informationFundingThe work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [001].Notes on contributorsCádmo Augusto Rodrigues DiasCádmo Augusto Rodrigues Dias received the M.S. degree in Mechanical Engineering in 2021 and B.S. degree in Mechanical Engineering (minored in Mechatronics) from Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Belo Horizonte, MG, Brazil, in 2020, and currently is PhD student in PUC Minas, working at the SIM Center Laboratory. During this time, he worked on the correlation and the development of virtual vehicle models to vehicle dynamics simulations. His current research interests include vehicle dynamics, virtual simulation and vehicle simulators, artificial intelligence and software development.Jánes Landre JúniorJanes Landre Jr. received the B.S. degree in Mechanical Engineering from PUC Minas in 1987. Has specialization in Management Development Program from Fundação Dom Cabral (2004), MSc in Aeronautical and Mechanical Engineering from Instituto Tecnológico de Aeronáutica (ITA), SãoPaulo, SP
人工智能(AI)技术在最多样化的工程研究中是一个现实,直观地说,汽车开发也是如此。同时,驾驶员在环(DiL)模拟允许研究人员开发和测试不同的车辆和相关系统,而无需建立物理原型。考虑到降低成本、项目时间以及最重要的对环境的影响这一日益增长的目标,DiL仿真的优势变得更加突出。在这种情况下,鉴于越来越需要分析大量数据集,特别是通过使用模拟器获得的数据集,本工作对人工智能在驾驶员在环模拟中的使用进行了文献综述。为了做到这一点,一些关键词被定义为一些边界条件,例如,论文的目标是不考虑过时的工具和技术。通过三个淘汰修订步骤,阅读最终选定作品的全文,目的是确定使用IA和DiL模拟的研究的目标。研究结果表明,大多数工作都使用上述工具来开发自动驾驶汽车及其相关系统。最后,对这一结果提出了讨论,然后提出了扩大本文献综述范围的指导方针。关键词:人工智能、环内河流模拟器、文献综述、车辆动力学、虚拟仿真。致谢本研究由巴西高级交通协调组织(CAPES)、金融代码001部分资助。披露声明作者未报告潜在的利益冲突。数据可用性声明作者确认在文章或其补充材料中可以获得支持本研究结果的数据。本研究得到了高级医疗卫生组织高级医疗卫生组织的支持[001]。contributorsCádmo奥古斯托·罗德里格斯DiasCádmo奥古斯托·罗德里格斯·迪亚斯于2021年获得机械工程硕士学位,并于2020年获得Pontifícia米纳斯吉拉斯大学Católica(米纳斯吉拉斯州贝洛奥里藏特)机械工程学士学位(辅修机电一体化),目前是米纳斯大学米纳斯分校的博士研究生,在SIM中心实验室工作。在此期间,他致力于虚拟车辆模型与车辆动力学仿真的关联和发展。他目前的研究方向包括车辆动力学,虚拟仿真和车辆模拟器,人工智能和软件开发。Jánes Landre JúniorJanes Landre Jr.于1987年获得PUC Minas机械工程学士学位。2004年毕业于funda o Dom Cabral管理发展项目,1991年毕业于巴西圣保罗市Tecnológico de Aeronáutica研究所(ITA)航空与机械工程硕士学位,2001年毕业于巴西米纳斯吉拉斯州贝洛奥里藏特联邦大学(UFMG)冶金工程博士学位,2011年毕业于米纳斯吉拉斯州公共大学(PUC Minas)管理发展项目。他目前是PUC Minas的兼职教授,国家科学和技术发展委员会发展项目的审稿人,以及印度牙科研究杂志,巴西机械科学和薄壁结构学会杂志的期刊审稿人。有材料和冶金工程经验,辅修变形冶金。主要研究以下主题:锻造、损伤、有限元分析和车辆动力学。
{"title":"The use of artificial intelligence in driver-in-the-loop simulation: a literature review (2023)","authors":"Cádmo Augusto Rodrigues Dias, Jánes Landre Júnior","doi":"10.1080/14484846.2023.2259709","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259709","url":null,"abstract":"ABSTRACTArtificial intelligence (AI) techniques are a reality in the most diverse engineering research and, intuitively, the same is true for automotive development. Meanwhile, driver-in-the-loop (DiL) simulation allows researchers to develop and test different vehicles and correlated systems without the need to build physical prototypes. Considering the increasing goal of reducing cost, project time, and most importantly the impact on the environment, the advantages of DiL simulation become even higher. In this scenario and given the growing need for analysis of considerably large sets of data obtained especially by the use of simulators, the present work undertakes a literature review regarding the use of artificial intelligence in driver-in-the-loop simulations. To do so, some keywords are defined as some boundary conditions also are, e.g. how old the paper is aiming not to consider outdated tools and technologies. Passing through three eliminatory revision steps, the full text of the final selected works is read with the aim to define where the research that uses IA and DiL simulation is aimed. The findings suggest that most of the works use the aforementioned tools to develop autonomous vehicles and their correlated systems. Finally, a discussion about this result is proposed and then a guideline for amplifying the reach of the present literature review is suggested.KEYWORDS: Artificial intelligencedriver-in-the-loop simulatorliterature reviewvehicle dynamicsvirtual simulation AcknowledgementsThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article or its supplementary materials.Additional informationFundingThe work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [001].Notes on contributorsCádmo Augusto Rodrigues DiasCádmo Augusto Rodrigues Dias received the M.S. degree in Mechanical Engineering in 2021 and B.S. degree in Mechanical Engineering (minored in Mechatronics) from Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Belo Horizonte, MG, Brazil, in 2020, and currently is PhD student in PUC Minas, working at the SIM Center Laboratory. During this time, he worked on the correlation and the development of virtual vehicle models to vehicle dynamics simulations. His current research interests include vehicle dynamics, virtual simulation and vehicle simulators, artificial intelligence and software development.Jánes Landre JúniorJanes Landre Jr. received the B.S. degree in Mechanical Engineering from PUC Minas in 1987. Has specialization in Management Development Program from Fundação Dom Cabral (2004), MSc in Aeronautical and Mechanical Engineering from Instituto Tecnológico de Aeronáutica (ITA), SãoPaulo, SP","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-22DOI: 10.1080/14484846.2023.2249577
N. Singh, Y. Singh, Erween Abd Rahim, T. Senthil Siva Subramanian, Abhishek Sharma
{"title":"Electric discharge machining of hybrid composite with bio-dielectrics for sustainable developments","authors":"N. Singh, Y. Singh, Erween Abd Rahim, T. Senthil Siva Subramanian, Abhishek Sharma","doi":"10.1080/14484846.2023.2249577","DOIUrl":"https://doi.org/10.1080/14484846.2023.2249577","url":null,"abstract":"","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45473527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-21DOI: 10.1080/14484846.2023.2249144
P. Ambadekar, Sarita P. Ambadekar, C. Choudhari, S. A. Patil, S. Gawande
{"title":"Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective","authors":"P. Ambadekar, Sarita P. Ambadekar, C. Choudhari, S. A. Patil, S. Gawande","doi":"10.1080/14484846.2023.2249144","DOIUrl":"https://doi.org/10.1080/14484846.2023.2249144","url":null,"abstract":"","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43637107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}