Pub Date : 2024-09-10DOI: 10.1177/09544089241272775
Hui-min Wu, Jian-wei Ma
To improve the measurement accuracy of high-speed and precision motorized spindle rotary error as the research objective, based on the three-point method, an error separation model and an objective optimization function for noise-containing signals are developed. To improve the convergence speed, globally optimize the model objectives, and obtain the best optimization region of the sensor mounting angle, it is proposed that an enhanced adaptive particle swarm optimization algorithm be used. With the improved particle swarm algorithm, the convergence speed was greater than that of the primary particle swarm algorithm by more than 50%. The spindle radial rotation error was experimentally measured and separated using a high-speed vertical machining center, and the deviation between the separation result and the experimental rotation error was 4.5%, indicating that the separation result's accuracy was high. It also proved the correctness and feasibility of the optimization algorithm.
{"title":"Rotation error separation of a UTF300 high-speed and precision motorized spindle","authors":"Hui-min Wu, Jian-wei Ma","doi":"10.1177/09544089241272775","DOIUrl":"https://doi.org/10.1177/09544089241272775","url":null,"abstract":"To improve the measurement accuracy of high-speed and precision motorized spindle rotary error as the research objective, based on the three-point method, an error separation model and an objective optimization function for noise-containing signals are developed. To improve the convergence speed, globally optimize the model objectives, and obtain the best optimization region of the sensor mounting angle, it is proposed that an enhanced adaptive particle swarm optimization algorithm be used. With the improved particle swarm algorithm, the convergence speed was greater than that of the primary particle swarm algorithm by more than 50%. The spindle radial rotation error was experimentally measured and separated using a high-speed vertical machining center, and the deviation between the separation result and the experimental rotation error was 4.5%, indicating that the separation result's accuracy was high. It also proved the correctness and feasibility of the optimization algorithm.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"9 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bone drilling is a common but critical medical procedure in orthopedic surgeries used to treat fractured bones. During this procedure, the temperature of the bone increases due to generation of frictional energy. Temperature control has been a major challenge in bone drilling since its foundation. If this temperature increases over 47°C for 1 min, then it can result in permanent bone damage. To control the temperature elevation this study proposes a deep learning-based robust predictive model which has been trained and tested on data from pig bones. Excessive in-house testing has been done on pig femur bones to gather data and verify the results. Rotary ultrasonic bone drilling was the machining process used for drilling. Four independent variables which were rotational speed, feed rate, abrasive grit size, and vibrational ultrasonic power were varied and the temperature for each set of values was recorded. Multiple deep learning models were made and were compared on different error metrics. It was found that convolutional neural network 1D gave the least error over other models. The error generated by deep learning models was less than mathematical and experimental models.
{"title":"Deep learning-based temperature prediction during rotary ultrasonic bone drilling","authors":"Yash Agarwal, Satvik Gupta, Jaskaran Singh, Vishal Gupta","doi":"10.1177/09544089241279242","DOIUrl":"https://doi.org/10.1177/09544089241279242","url":null,"abstract":"Bone drilling is a common but critical medical procedure in orthopedic surgeries used to treat fractured bones. During this procedure, the temperature of the bone increases due to generation of frictional energy. Temperature control has been a major challenge in bone drilling since its foundation. If this temperature increases over 47°C for 1 min, then it can result in permanent bone damage. To control the temperature elevation this study proposes a deep learning-based robust predictive model which has been trained and tested on data from pig bones. Excessive in-house testing has been done on pig femur bones to gather data and verify the results. Rotary ultrasonic bone drilling was the machining process used for drilling. Four independent variables which were rotational speed, feed rate, abrasive grit size, and vibrational ultrasonic power were varied and the temperature for each set of values was recorded. Multiple deep learning models were made and were compared on different error metrics. It was found that convolutional neural network 1D gave the least error over other models. The error generated by deep learning models was less than mathematical and experimental models.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"61 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MWCNT nano-composites with a cobalt content of 2 weight percent were created by mechanically alloying during different times. Modern techniques, including x-ray diffraction (XRD), differential thermal analysis (DTA), field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM) and superconducting quantum interference device (SQUID), were used to examine the effects of CNT addition on the Co morphology and magnetic characteristics of the samples. It was shown that the characteristics of Co in 2 weight percent MWCNT nano-composites were retained in a sample that was milled for 60 min. Agglomerates of nanoparticles were the end result, with CNTs evenly distributed throughout the cobalt matrix 60 min after mechanical alloying. Analysis of magnetic hysteresis loops revealed that the inclusion of CNTs altered the magnetic characteristics of nano-composite samples. Analysis of magnetic hysteresis loops revealed that the inclusion of CNTs altered the magnetic characteristics of nano-composite samples. The well-developed interfacial structure in this work significantly improved the cobalt-MWCNT nano-composites’ magnetic characteristics.
{"title":"Investigating phase and magnetic properties in Co-2 wt.% MWCNT nano-composites prepared by mechanical alloying","authors":"Pinjal Pandit, Swasata Ghosh, Goutam Roy, Arpita Chatterjee, Susmita Singh, Sumit Chabri","doi":"10.1177/09544089241279156","DOIUrl":"https://doi.org/10.1177/09544089241279156","url":null,"abstract":"MWCNT nano-composites with a cobalt content of 2 weight percent were created by mechanically alloying during different times. Modern techniques, including x-ray diffraction (XRD), differential thermal analysis (DTA), field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM) and superconducting quantum interference device (SQUID), were used to examine the effects of CNT addition on the Co morphology and magnetic characteristics of the samples. It was shown that the characteristics of Co in 2 weight percent MWCNT nano-composites were retained in a sample that was milled for 60 min. Agglomerates of nanoparticles were the end result, with CNTs evenly distributed throughout the cobalt matrix 60 min after mechanical alloying. Analysis of magnetic hysteresis loops revealed that the inclusion of CNTs altered the magnetic characteristics of nano-composite samples. Analysis of magnetic hysteresis loops revealed that the inclusion of CNTs altered the magnetic characteristics of nano-composite samples. The well-developed interfacial structure in this work significantly improved the cobalt-MWCNT nano-composites’ magnetic characteristics.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1177/09544089241276708
Vishal Bhardwaj, Indra Jeet Singh, Qasim Murtaza
Cold metal transfer welding is known for its automated welding process, which is equipped with shortcircuit-based deposition of filler wire, which allows it to control its heat input parameter properly along with a wire feed rate. Cold metal transfer’s main characteristic, which greatly affected the manufacturing industries, is joining thin, similar, or dissimilar metal sheets as the processing heat input is minimal. This review paper (covering 104 studies) examines how joining different metals with varying welding parameters affects their weld appearance, microstructure, tensile strength, and the formation of joint failure. The main focus was on what additional methods, like hardfacing or post-heat treatment of material, must be adopted to enhance the joint's weld quality and appearance. The paper starts with the investigation of numerous dissimilar weld joints formed by the cold metal transfer technique, along with the effect of varying welding parameters and ultrasonic-assisted cold metal transfer hybrid welding on the weld quality and post–pre-weld heat treatment of materials. A comparison of different cold metal transfer arc modes employed in wire-arc additive manufacturing has also been discussed briefly. At the end of the analysis, it was noted that some metal joints had a positive impact, and some gained a negative effect while increasing the heat input. The research articles studied in this paper indicate that not every material would exhibit the same welding property when subjected to a specific set of varying welding parameters.
{"title":"Exploring the cutting edge: Recent trends in cold metal transfer welding","authors":"Vishal Bhardwaj, Indra Jeet Singh, Qasim Murtaza","doi":"10.1177/09544089241276708","DOIUrl":"https://doi.org/10.1177/09544089241276708","url":null,"abstract":"Cold metal transfer welding is known for its automated welding process, which is equipped with shortcircuit-based deposition of filler wire, which allows it to control its heat input parameter properly along with a wire feed rate. Cold metal transfer’s main characteristic, which greatly affected the manufacturing industries, is joining thin, similar, or dissimilar metal sheets as the processing heat input is minimal. This review paper (covering 104 studies) examines how joining different metals with varying welding parameters affects their weld appearance, microstructure, tensile strength, and the formation of joint failure. The main focus was on what additional methods, like hardfacing or post-heat treatment of material, must be adopted to enhance the joint's weld quality and appearance. The paper starts with the investigation of numerous dissimilar weld joints formed by the cold metal transfer technique, along with the effect of varying welding parameters and ultrasonic-assisted cold metal transfer hybrid welding on the weld quality and post–pre-weld heat treatment of materials. A comparison of different cold metal transfer arc modes employed in wire-arc additive manufacturing has also been discussed briefly. At the end of the analysis, it was noted that some metal joints had a positive impact, and some gained a negative effect while increasing the heat input. The research articles studied in this paper indicate that not every material would exhibit the same welding property when subjected to a specific set of varying welding parameters.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"46 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1177/09544089241279689
Nalini S Patil, Vishwambhar S Patil
This research delves into the intriguing realm of non-Newtonian fluids in conjunction with microorganisms, presenting a mathematical model tailored to analyze heat and mass transfer within Williamson-Maxwell nanofluids hosting gyrotactic microbes. The study investigates how these fluids behave under the influence of multiple factors such as magnetic fields, thermal radiation, chemical reactions, and dissipation effects. Employing a set of similarity invariants, the governing equations are transformed into ordinary differential equations, which are then solved using a fourth-order R-K scheme. The findings, presented graphically, offer insights into various flow parameters and are complemented by pertinent physical explanations. The influence of magnetic flux ([Formula: see text]), Buoyancy ratio ([Formula: see text]), Peclet number ([Formula: see text]), and Schmidt number ([Formula: see text]) on various physical parameters are shown graphically. Notably, the research reveals that while increasing the external magnetic field impedes fluid motion, it enhances thermal and density layers. Additionally, a higher bioconvective Schmidt number is shown to reduce microbial density. These observations hold significant implications for applications involving nanofluids and microorganisms across biomedical, pharmaceutical, biofuels, and other sectors. Overall, this study contributes valuable knowledge to the understanding and potential utilization of complex fluid systems in diverse industrial contexts.
{"title":"Numerical exploration of MHD bioconvective Williamson-Maxwell nanoliquid flow due to an exponentially elongated porous sheet","authors":"Nalini S Patil, Vishwambhar S Patil","doi":"10.1177/09544089241279689","DOIUrl":"https://doi.org/10.1177/09544089241279689","url":null,"abstract":"This research delves into the intriguing realm of non-Newtonian fluids in conjunction with microorganisms, presenting a mathematical model tailored to analyze heat and mass transfer within Williamson-Maxwell nanofluids hosting gyrotactic microbes. The study investigates how these fluids behave under the influence of multiple factors such as magnetic fields, thermal radiation, chemical reactions, and dissipation effects. Employing a set of similarity invariants, the governing equations are transformed into ordinary differential equations, which are then solved using a fourth-order R-K scheme. The findings, presented graphically, offer insights into various flow parameters and are complemented by pertinent physical explanations. The influence of magnetic flux ([Formula: see text]), Buoyancy ratio ([Formula: see text]), Peclet number ([Formula: see text]), and Schmidt number ([Formula: see text]) on various physical parameters are shown graphically. Notably, the research reveals that while increasing the external magnetic field impedes fluid motion, it enhances thermal and density layers. Additionally, a higher bioconvective Schmidt number is shown to reduce microbial density. These observations hold significant implications for applications involving nanofluids and microorganisms across biomedical, pharmaceutical, biofuels, and other sectors. Overall, this study contributes valuable knowledge to the understanding and potential utilization of complex fluid systems in diverse industrial contexts.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"61 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1177/09544089241278219
Hayder Kareem Sakran, Mohd Sharizal Abdul Aziz, Mohd Zulkifly Abdullah, Chu Yee Khor, Mohd Remy Rozainy Mohd Arif Zainol
The number of impeller blades is a significant geometric parameter that considerably impacts centrifugal pump performance. A transient numerical analysis of a centrifugal pump is conducted to examine the influence of the variable impeller blade number on pump performance under critical cavitation conditions. Six different impellers with 3, 5, 7, 8, 9, and 11 blades are examined numerically at a rotational speed of 2900 r/min when other impeller parameters remain unchanged. Fields of interior flow and properties of centrifugal pumps are studied concerning static pressure, velocity magnitude, and vapor volume fraction using ANSYS Fluent to perform the numerical simulation. The results show that numerical analysis can accurately predict centrifugal pump internal flow. The current results match experimental and numerical data for the NPSH, with a 4.65% discrepancy. Blade numbers affect the flow field and pressure amplitude, especially at the outlet region. As blade numbers increase, pressure increases, and the impeller with 11-blade has the maximum pressure amplitude. The impeller with a seven-blade achieved its highest efficiency level, exhibiting a 0.48% improvement under non-cavitation conditions and a 1.4% improvement under critical cavitation conditions compared to the original model. Furthermore, the cavity size on an individual blade of a model with three-blade is more extensive compared to other models. In addition, the impeller with a nine-blade exhibits the lowest value of the vapor volume percentage. This research analyses the influence of different blade numbers on the performance of centrifugal pumps while operating under critical cavitation conditions. It aims to provide novel insights into the flow characteristics associated with such circumstances.
{"title":"Impacts of impeller blade number on centrifugal pump performance under critical cavitation conditions","authors":"Hayder Kareem Sakran, Mohd Sharizal Abdul Aziz, Mohd Zulkifly Abdullah, Chu Yee Khor, Mohd Remy Rozainy Mohd Arif Zainol","doi":"10.1177/09544089241278219","DOIUrl":"https://doi.org/10.1177/09544089241278219","url":null,"abstract":"The number of impeller blades is a significant geometric parameter that considerably impacts centrifugal pump performance. A transient numerical analysis of a centrifugal pump is conducted to examine the influence of the variable impeller blade number on pump performance under critical cavitation conditions. Six different impellers with 3, 5, 7, 8, 9, and 11 blades are examined numerically at a rotational speed of 2900 r/min when other impeller parameters remain unchanged. Fields of interior flow and properties of centrifugal pumps are studied concerning static pressure, velocity magnitude, and vapor volume fraction using ANSYS Fluent to perform the numerical simulation. The results show that numerical analysis can accurately predict centrifugal pump internal flow. The current results match experimental and numerical data for the NPSH, with a 4.65% discrepancy. Blade numbers affect the flow field and pressure amplitude, especially at the outlet region. As blade numbers increase, pressure increases, and the impeller with 11-blade has the maximum pressure amplitude. The impeller with a seven-blade achieved its highest efficiency level, exhibiting a 0.48% improvement under non-cavitation conditions and a 1.4% improvement under critical cavitation conditions compared to the original model. Furthermore, the cavity size on an individual blade of a model with three-blade is more extensive compared to other models. In addition, the impeller with a nine-blade exhibits the lowest value of the vapor volume percentage. This research analyses the influence of different blade numbers on the performance of centrifugal pumps while operating under critical cavitation conditions. It aims to provide novel insights into the flow characteristics associated with such circumstances.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"5 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1177/09544089241278205
Abdul Raguman, Praveena Vedagiri
For an enhancement of the thermal and electrical conductivity of the proton exchange membrane fuel cell (PEMFC), extensive research is actively conducted on various waste bio sources. PEMFC offers the cleanest form of energy, an electrochemical energy conversion device that possesses zero emissions with by-products such as heat and water. In PEMFC, conventional coolants such as water and water:ethylene glycol mixture does not attain the substantial results in terms of heat dissipation, which impacts performance gradually reduces the operating life of the cell. Usually, bio-sources are environmentally friendly and have merits over chemically prepared methods. Bio-based nanofluids have remarkable performance in terms of heat transfer, lower electrical conductivity, and low corrosiveness in the system compared to other metal-based fluids and base fluids, which have also gained a great deal of scrutiny over the past few decades. In this research, bio-sourced Cocos nucifera shell (CNS) is utilised at various concentrations, such as 0.1 vol.-%, 0.3 vol.-% and 0.5 vol.-%, dispersed with a base fluid such as water (W), and ethylene glycol (EG) (80:20) is analysed prior to actual full stack PEMFC. Consequently, heat transfer has been improved by 13% for CNS in 80:20 (W:EG) at 0.5% volume concentration compared with W:EG (80:20). On the basis of findings on thermal, hydraulic and electrical conductivity, various properties have also been determined. Despite the drawbacks of the experimental design, it was concluded that up to 0.5 vol.-% CNS in an 80:20 (W:EG) nanofluid could be used as a cooling medium for PEMFCs with no adverse effects on the electrical performance. It was also observed that the nanofluid improved the efficiency of the fuel cells by reducing the ohmic losses.
{"title":"Analysing the thermal and electrical properties of Cocos nucifera shell-based nanofluids as coolant feasibility proton exchange membrane fuel cell","authors":"Abdul Raguman, Praveena Vedagiri","doi":"10.1177/09544089241278205","DOIUrl":"https://doi.org/10.1177/09544089241278205","url":null,"abstract":"For an enhancement of the thermal and electrical conductivity of the proton exchange membrane fuel cell (PEMFC), extensive research is actively conducted on various waste bio sources. PEMFC offers the cleanest form of energy, an electrochemical energy conversion device that possesses zero emissions with by-products such as heat and water. In PEMFC, conventional coolants such as water and water:ethylene glycol mixture does not attain the substantial results in terms of heat dissipation, which impacts performance gradually reduces the operating life of the cell. Usually, bio-sources are environmentally friendly and have merits over chemically prepared methods. Bio-based nanofluids have remarkable performance in terms of heat transfer, lower electrical conductivity, and low corrosiveness in the system compared to other metal-based fluids and base fluids, which have also gained a great deal of scrutiny over the past few decades. In this research, bio-sourced Cocos nucifera shell (CNS) is utilised at various concentrations, such as 0.1 vol.-%, 0.3 vol.-% and 0.5 vol.-%, dispersed with a base fluid such as water (W), and ethylene glycol (EG) (80:20) is analysed prior to actual full stack PEMFC. Consequently, heat transfer has been improved by 13% for CNS in 80:20 (W:EG) at 0.5% volume concentration compared with W:EG (80:20). On the basis of findings on thermal, hydraulic and electrical conductivity, various properties have also been determined. Despite the drawbacks of the experimental design, it was concluded that up to 0.5 vol.-% CNS in an 80:20 (W:EG) nanofluid could be used as a cooling medium for PEMFCs with no adverse effects on the electrical performance. It was also observed that the nanofluid improved the efficiency of the fuel cells by reducing the ohmic losses.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-07DOI: 10.1177/09544089241275866
Youkang Yin, Zheng Ma, Weiwei Ming, Jinyang Xu, Qinglong An, Ming Chen, Wei Wu, Yuankun Sun
The zero-point positioning system (Z-PCS) is more suitable for the increasingly common production modes of multiple types, small batches, and changing conditions than to conventional fixtures. Currently, the Z-PCS cannot provide sufficient clamping force, and the design of the positioning structure is prone to over-positioning. The working principles of each functional module in the system are unclear, making it difficult to promote product design optimization and troubleshooting. This article aims to design a high-performance Z-PCS, revealing the structural composition and working principle of the system, including the clamping structure, positioning structure, and air circuitry arrangement. During the design process, the finite element numerical calculations were adopted to verify the mechanical properties of each key load-bearing component. Finally, the designed product underwent positioning accuracy and clamping force testing. The results indicate that the Z-PCS designed in this article can provide a clamping force of at least 73.7 kN and control the repetitive positioning error below 0.002 mm. Micro-deformation grooves can be adaptively added to compensate for the over-positioning error. Heat-treated martensitic-type stainless steel is an ideal material for constructing the body of a high-performance Z-PCS.
{"title":"Study on finite element simulation and experiment based on the design of zero-point clamping system","authors":"Youkang Yin, Zheng Ma, Weiwei Ming, Jinyang Xu, Qinglong An, Ming Chen, Wei Wu, Yuankun Sun","doi":"10.1177/09544089241275866","DOIUrl":"https://doi.org/10.1177/09544089241275866","url":null,"abstract":"The zero-point positioning system (Z-PCS) is more suitable for the increasingly common production modes of multiple types, small batches, and changing conditions than to conventional fixtures. Currently, the Z-PCS cannot provide sufficient clamping force, and the design of the positioning structure is prone to over-positioning. The working principles of each functional module in the system are unclear, making it difficult to promote product design optimization and troubleshooting. This article aims to design a high-performance Z-PCS, revealing the structural composition and working principle of the system, including the clamping structure, positioning structure, and air circuitry arrangement. During the design process, the finite element numerical calculations were adopted to verify the mechanical properties of each key load-bearing component. Finally, the designed product underwent positioning accuracy and clamping force testing. The results indicate that the Z-PCS designed in this article can provide a clamping force of at least 73.7 kN and control the repetitive positioning error below 0.002 mm. Micro-deformation grooves can be adaptively added to compensate for the over-positioning error. Heat-treated martensitic-type stainless steel is an ideal material for constructing the body of a high-performance Z-PCS.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"70 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-05DOI: 10.1177/09544089241272824
Gurunath V Shinde, Abhijeet Suryawanshi, Niranjana Behera
Tests specimens were prepared by friction stir welding of two dissimilar metals aluminum and copper. The specimens were subjected to mechanical tests to calculate the ultimate tensile strength, yield strength, percentage elongation, and impact energy. Four different machine learning algorithms (AdaBoost, CatBoost, Gradient Boosting, and XGBoost) were applied for developing the ML models in predicting the performance parameters such as ultimate strength, yield strength, percentage elongation, and impact energy. Pin type, weld speed, rotational speed, and shoulder diameter were considered as the input parameters for the model. Training, testing, and validation were carried out by considering 60%, 20%, and 20% of the available data respectively. In terms of accuracy (lower MAE, lower RMSE, greater R2 value, and lower AAD%), CatBoost model, Gradient Boosting model, and XGBoost model performed better than the AdaBoost model in predicting the ultimate tensile strength, yield strength, percentage elongation, and impact energy. Compared to other models, AdaBoost model has only few hyperparameters for fine-tuning. During hyperparameters tuning, AdaBoost model showed accuracy only within a narrow range of values of features.
{"title":"Prediction of friction stir welding performances of dissimilar AA3003-H12 and C12200-H01 using machine learning algorithms","authors":"Gurunath V Shinde, Abhijeet Suryawanshi, Niranjana Behera","doi":"10.1177/09544089241272824","DOIUrl":"https://doi.org/10.1177/09544089241272824","url":null,"abstract":"Tests specimens were prepared by friction stir welding of two dissimilar metals aluminum and copper. The specimens were subjected to mechanical tests to calculate the ultimate tensile strength, yield strength, percentage elongation, and impact energy. Four different machine learning algorithms (AdaBoost, CatBoost, Gradient Boosting, and XGBoost) were applied for developing the ML models in predicting the performance parameters such as ultimate strength, yield strength, percentage elongation, and impact energy. Pin type, weld speed, rotational speed, and shoulder diameter were considered as the input parameters for the model. Training, testing, and validation were carried out by considering 60%, 20%, and 20% of the available data respectively. In terms of accuracy (lower MAE, lower RMSE, greater R<jats:sup>2</jats:sup> value, and lower AAD%), CatBoost model, Gradient Boosting model, and XGBoost model performed better than the AdaBoost model in predicting the ultimate tensile strength, yield strength, percentage elongation, and impact energy. Compared to other models, AdaBoost model has only few hyperparameters for fine-tuning. During hyperparameters tuning, AdaBoost model showed accuracy only within a narrow range of values of features.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-05DOI: 10.1177/09544089241274054
TH Alarabi, SS Alzahrani, A Mahdy, Omima A Abo-zaid
This research scrutinizes the radiative convective heat transfer of non-Newtonian ternary hybrid nanofluid across slant surface of equal quantities of nanoparticles dispersed in raw fluid subjected to a constant magnetic field. The contribution assumes the existence of an exothermic reaction a process of diffusion of nanoparticles of copper metal and metal oxides in the raw liquid to enhance combustion and particle concentration of reactants in chemical processes. The model is governed by thermal and mass relaxation times that appear in partial derivative equations and the mathematical analysis is derived using dimensionless quantities and subsequently solved using the RK45 technique. The computations indicate that both the exothermic reaction and the reaction rate factors increase heat distribution, facilitating the complete combustion process. Tri-nanofluid exerts the highest shear stress on the solid boundary while the minimal shear stress on the surface is seen in the case of mono-nanofluid. A 13.3% upgrade in the thermal efficiency is noticed if tri-nanoparticles are dispersed rather than mono-nanoparticles. Therefore, the significant rise in heat transmit is possible due to the dispersion of tri-nanoparticles.
{"title":"Aspects of mass and thermal relaxation time and exothermic chemical processes on the flow of a ternary hybrid Sutterby nanofluid via slant surface with activation energy and linear convection limits","authors":"TH Alarabi, SS Alzahrani, A Mahdy, Omima A Abo-zaid","doi":"10.1177/09544089241274054","DOIUrl":"https://doi.org/10.1177/09544089241274054","url":null,"abstract":"This research scrutinizes the radiative convective heat transfer of non-Newtonian ternary hybrid nanofluid across slant surface of equal quantities of nanoparticles dispersed in raw fluid subjected to a constant magnetic field. The contribution assumes the existence of an exothermic reaction a process of diffusion of nanoparticles of copper metal and metal oxides in the raw liquid to enhance combustion and particle concentration of reactants in chemical processes. The model is governed by thermal and mass relaxation times that appear in partial derivative equations and the mathematical analysis is derived using dimensionless quantities and subsequently solved using the RK45 technique. The computations indicate that both the exothermic reaction and the reaction rate factors increase heat distribution, facilitating the complete combustion process. Tri-nanofluid exerts the highest shear stress on the solid boundary while the minimal shear stress on the surface is seen in the case of mono-nanofluid. A 13.3% upgrade in the thermal efficiency is noticed if tri-nanoparticles are dispersed rather than mono-nanoparticles. Therefore, the significant rise in heat transmit is possible due to the dispersion of tri-nanoparticles.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":"2 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：