Pub Date : 2024-01-01DOI: 10.1142/s2737599424500014
E. Pankratov
In this article, we introduce a model of dissolution of a medicinal product in an organism with account of changing of conditions. The model based on estimation of spatiotemporal distribution of concentration of the above product during dissolution. We introduce an analytical approach for analysis of the considered dissolution. We consider a possibility to accelerate and decelerate of the above dissolution.
{"title":"On approach for prognosis of dissolution of a medicinal product in an organism","authors":"E. Pankratov","doi":"10.1142/s2737599424500014","DOIUrl":"https://doi.org/10.1142/s2737599424500014","url":null,"abstract":"In this article, we introduce a model of dissolution of a medicinal product in an organism with account of changing of conditions. The model based on estimation of spatiotemporal distribution of concentration of the above product during dissolution. We introduce an analytical approach for analysis of the considered dissolution. We consider a possibility to accelerate and decelerate of the above dissolution.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516184","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 : 2024-01-01DOI: 10.1142/s2737599424400048
Tamilselvan Amuthan, N. Nagaprasad, Vijayan Somurajan, Ramakrishnan Kulasekaran Sathish Kumar, Ashish Kumar, M. S. Kumar, R. Krishnaraj
Most of the automobile industries use natural fiber composites for the manufacturing of components since they serve as a better choice for composites reinforced with glass. This research focuses on the usage of natural fiber composites such as Achyranthes, Aspera, and Bagasse owing to their low weight, low cost, availability, eco-friendly, and also natural fiber composites are replace- ments for metal matrix composites due to their high stiffness and high strength-to-weight ratio characteristics. Synthesis of various natural fiber composites using reinforcements such as Achyranthes aspera and bagasse fibers, as well as glass fibers, utilizing a polyester-based matrix resin. The characterization of mechanical properties such as hardness, impact strength, tensile strength, and flexural strength has been carried out for these materials in dry and wet conditions. And also, the thermal stability of the composite has been investigated using a heat deflection test.
{"title":"Natural hybrid composites for built environment and engineering applications","authors":"Tamilselvan Amuthan, N. Nagaprasad, Vijayan Somurajan, Ramakrishnan Kulasekaran Sathish Kumar, Ashish Kumar, M. S. Kumar, R. Krishnaraj","doi":"10.1142/s2737599424400048","DOIUrl":"https://doi.org/10.1142/s2737599424400048","url":null,"abstract":"Most of the automobile industries use natural fiber composites for the manufacturing of components since they serve as a better choice for composites reinforced with glass. This research focuses on the usage of natural fiber composites such as Achyranthes, Aspera, and Bagasse owing to their low weight, low cost, availability, eco-friendly, and also natural fiber composites are replace- ments for metal matrix composites due to their high stiffness and high strength-to-weight ratio characteristics. Synthesis of various natural fiber composites using reinforcements such as Achyranthes aspera and bagasse fibers, as well as glass fibers, utilizing a polyester-based matrix resin. The characterization of mechanical properties such as hardness, impact strength, tensile strength, and flexural strength has been carried out for these materials in dry and wet conditions. And also, the thermal stability of the composite has been investigated using a heat deflection test.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525804","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 : 2024-01-01DOI: 10.1142/s2737599424400012
Bibin K. Tharian, P. B. Dhanish, R. Manu, Ankit D. Oza, Kirtanjot Kaur
Due to its inherent properties, Ti64 has set many challenges in industries during its machining using conventional machining processes. Traditional machining of Ti64 is not a feasible option considering the economic and environmental perspectives. Non-conventional techniques like electrical discharge machining (EDM) are promising methods for machining Ti64 despite challenges like higher tool wear and lower machining rates. The current paper investigated the erosion rates while machining Ti64 using deep cryo-treated electrodes. The peak current (Ip), pulse on time (Ton) and gap voltage (Vg) were used as control parameters while investigating erosion rates, viz., Material Removal Rate (MRR) and Tool Wear Rate (TWR). Experiments were planned according to the RSM-based Central Composite Design (CCD). Considering the multi-objective nature of the current problem, Grey Relational Analysis (GRA) has been incorporated to find a single parametric condition that will satisfy both MRR and TWR. Peak current, [Formula: see text][Formula: see text]A, Pulse On time, [Formula: see text][Formula: see text][Formula: see text]s and Gap voltage, [Formula: see text][Formula: see text]V was found to be the optimal setting giving [Formula: see text][Formula: see text]mm3/min and [Formula: see text][Formula: see text]mm3/min. Furthermore, topographical analysis of the EDMed surfaces has been performed using SEM, XRD and 3D optical profilometry techniques to characterise the surface and to investigate the possibility of other intermetallic compounds formed on the machined surface.
{"title":"Erosion rate investigation and multi-objective optimisation on electrical discharge machining of Ti64 using deep cryo-treated electrodes","authors":"Bibin K. Tharian, P. B. Dhanish, R. Manu, Ankit D. Oza, Kirtanjot Kaur","doi":"10.1142/s2737599424400012","DOIUrl":"https://doi.org/10.1142/s2737599424400012","url":null,"abstract":"Due to its inherent properties, Ti64 has set many challenges in industries during its machining using conventional machining processes. Traditional machining of Ti64 is not a feasible option considering the economic and environmental perspectives. Non-conventional techniques like electrical discharge machining (EDM) are promising methods for machining Ti64 despite challenges like higher tool wear and lower machining rates. The current paper investigated the erosion rates while machining Ti64 using deep cryo-treated electrodes. The peak current (Ip), pulse on time (Ton) and gap voltage (Vg) were used as control parameters while investigating erosion rates, viz., Material Removal Rate (MRR) and Tool Wear Rate (TWR). Experiments were planned according to the RSM-based Central Composite Design (CCD). Considering the multi-objective nature of the current problem, Grey Relational Analysis (GRA) has been incorporated to find a single parametric condition that will satisfy both MRR and TWR. Peak current, [Formula: see text][Formula: see text]A, Pulse On time, [Formula: see text][Formula: see text][Formula: see text]s and Gap voltage, [Formula: see text][Formula: see text]V was found to be the optimal setting giving [Formula: see text][Formula: see text]mm3/min and [Formula: see text][Formula: see text]mm3/min. Furthermore, topographical analysis of the EDMed surfaces has been performed using SEM, XRD and 3D optical profilometry techniques to characterise the surface and to investigate the possibility of other intermetallic compounds formed on the machined surface.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526198","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 : 2024-01-01DOI: 10.1142/s2737599424400036
Preeti Jain, S. Shinde, Susheelkumar Panchikattil, Mohit Diwan
The hardness testing is vital for metals for testing and production quality control. Hardness testing is a fine indicator to determine the mechanical characteristics of metals. The various types of hardness testing methods include Rockwell, Vicker, Brinell, and Knoop testing methods. The most prevalent manual method to determine hardness is indentation using dead weight technology. However, the said technology is quite ancient and it has its own limitations, like the kinetic effect applying excessive load at actual, man-to-man variations, variation over the period due to deterioration and friction effects of moving parts like lever, weight block hanger, etc. increases the uncertainty of this method and eventually demands for upgradation of the technology. Further, the methods currently in use are open-loop and manually operated testers. The main drawback of all these testers is that they provide zero feedback, and so the obtained result needs to be compared to the desired result. To overcome the above-stated problem, the paper presents some novel modifications for measuring hardness using existing methods of Rockwell, Vicker, and Brinell testing. Toward this objective, the paper proposes to modify existing testers and develop a semiautomatic hardness testing system. Firstly, for Rockwell testing, the work aims to design a closed-loop system for hardness testing. The proposed system comprises of Arduino as an open microcontroller, a load cell along with servo motor, and its driver to establish the desired closed loop. The need of obtaining a more accurate result, free from human interference gives rise to a closed-loop system for hardness testing. The key aspect of the closed-loop system lies in retaining the basic structure of the metal. Unlike traditional hardness tester, during testing, the weight increases gradually, due to which the basic structure of metal is not deformed. Secondly, the paper proposes a computational methodology that would estimate the Vickers and Brinell hardness value. The proposed system comprises of a camera for gathering hardness indentation images, thereby automating the system. Further, these images are analyzed based on image processing software, and the indentation depth is obtained. The proposed work thus replaces human intervention to calculate the hardness of the material. The results obtained based on the proposed systems provide a proof of concept to address the problems of traditional Rockwell, Vicker, and Brinell testing.
{"title":"Hardness determination by a semi-automatic testing system","authors":"Preeti Jain, S. Shinde, Susheelkumar Panchikattil, Mohit Diwan","doi":"10.1142/s2737599424400036","DOIUrl":"https://doi.org/10.1142/s2737599424400036","url":null,"abstract":"The hardness testing is vital for metals for testing and production quality control. Hardness testing is a fine indicator to determine the mechanical characteristics of metals. The various types of hardness testing methods include Rockwell, Vicker, Brinell, and Knoop testing methods. The most prevalent manual method to determine hardness is indentation using dead weight technology. However, the said technology is quite ancient and it has its own limitations, like the kinetic effect applying excessive load at actual, man-to-man variations, variation over the period due to deterioration and friction effects of moving parts like lever, weight block hanger, etc. increases the uncertainty of this method and eventually demands for upgradation of the technology. Further, the methods currently in use are open-loop and manually operated testers. The main drawback of all these testers is that they provide zero feedback, and so the obtained result needs to be compared to the desired result. To overcome the above-stated problem, the paper presents some novel modifications for measuring hardness using existing methods of Rockwell, Vicker, and Brinell testing. Toward this objective, the paper proposes to modify existing testers and develop a semiautomatic hardness testing system. Firstly, for Rockwell testing, the work aims to design a closed-loop system for hardness testing. The proposed system comprises of Arduino as an open microcontroller, a load cell along with servo motor, and its driver to establish the desired closed loop. The need of obtaining a more accurate result, free from human interference gives rise to a closed-loop system for hardness testing. The key aspect of the closed-loop system lies in retaining the basic structure of the metal. Unlike traditional hardness tester, during testing, the weight increases gradually, due to which the basic structure of metal is not deformed. Secondly, the paper proposes a computational methodology that would estimate the Vickers and Brinell hardness value. The proposed system comprises of a camera for gathering hardness indentation images, thereby automating the system. Further, these images are analyzed based on image processing software, and the indentation depth is obtained. The proposed work thus replaces human intervention to calculate the hardness of the material. The results obtained based on the proposed systems provide a proof of concept to address the problems of traditional Rockwell, Vicker, and Brinell testing.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520427","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 : 2024-01-01DOI: 10.1142/s2737599424400024
J. P. Agrawal, N. Somani, N. Gupta
The area of metallurgy has witnessed many advancements in the development of novel electrically conductive materials that shows exceptional mechanical as well as thermal properties. Nonetheless, traditional machining techniques encounter difficulties while machining hard materials. In order to address this limitation, electrical discharge machining (EDM) has emerged as a widely utilised method for machining of intricate geometries and the hard materials. EDM is a category of thermo-electric process that employs rapid recurring sparks between the electrode and work material, eroding the material without direct contact. As there is no contact between the electrode and work material, the issues related to machining defects such as mechanical stresses, clattering, and vibration eliminates. However, EDM have some limitations like poor surface finish and low volumetric material removal. To overcome these kind of limitations, the introduction of metallic powder into the dielectric fluid has been explored in powder-mixed electric discharge machining (PMEDM). This introduction of powder during the process leads to enhance the conductive strength of the fluid and increases the spark gap distance between the electrode and counter material. The inclusion of powder has a significant impact on the performance of the EDM process. Hence, this review aims to facilitate researchers in comprehending the concept of PMEDM and to examine the process parameters required to achieve improved levels of quality.
{"title":"A systematic review on powder-mixed electrical discharge machining (PMEDM) technique for machining of difficult-to-machine materials","authors":"J. P. Agrawal, N. Somani, N. Gupta","doi":"10.1142/s2737599424400024","DOIUrl":"https://doi.org/10.1142/s2737599424400024","url":null,"abstract":"The area of metallurgy has witnessed many advancements in the development of novel electrically conductive materials that shows exceptional mechanical as well as thermal properties. Nonetheless, traditional machining techniques encounter difficulties while machining hard materials. In order to address this limitation, electrical discharge machining (EDM) has emerged as a widely utilised method for machining of intricate geometries and the hard materials. EDM is a category of thermo-electric process that employs rapid recurring sparks between the electrode and work material, eroding the material without direct contact. As there is no contact between the electrode and work material, the issues related to machining defects such as mechanical stresses, clattering, and vibration eliminates. However, EDM have some limitations like poor surface finish and low volumetric material removal. To overcome these kind of limitations, the introduction of metallic powder into the dielectric fluid has been explored in powder-mixed electric discharge machining (PMEDM). This introduction of powder during the process leads to enhance the conductive strength of the fluid and increases the spark gap distance between the electrode and counter material. The inclusion of powder has a significant impact on the performance of the EDM process. Hence, this review aims to facilitate researchers in comprehending the concept of PMEDM and to examine the process parameters required to achieve improved levels of quality.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519835","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 : 2024-01-01DOI: 10.1142/s273759942440005x
Phani Prasanthi, M. S. R. N. Kumar, V. V. V. Madhav, Nakul Gupta, V. Revathi, A. Somaiah, Kuldeep A. Saxena, D. Bhole
The inhalation of airborne particles can endanger the health of any human being. Natural fiber and natural fiber reinforced with natural matrix material are employed in this work to create an indoor air purifier. Various natural fiber and natural composite combinations are used to purify the interior environment by eliminating particulate matter of various sizes and volatile organic chemicals. An air purifier is created using four distinct natural fibers, including hemp, jute, silk cocoon, and coir fibers, as well as neem and aloe vera gel as natural filler materials. An air quality-monitoring instrument is used to validate the performance of the designed natural fiber/natural plant-based filler material-equipped air purifier. Particulate matter of various sizes and volatile organic compounds in the indoor environment are detected at various time intervals. The efficacy of the air purifier is afterward determined in human lungs of various ages utilizing health impact simulation studies. The current product is utilized to effectively purify indoor air by eliminating particulates and volatile organic chemicals.
{"title":"Fabrication of natural fiber-mixed natural matrix composite-infused indoor air purifier with health impact simulation","authors":"Phani Prasanthi, M. S. R. N. Kumar, V. V. V. Madhav, Nakul Gupta, V. Revathi, A. Somaiah, Kuldeep A. Saxena, D. Bhole","doi":"10.1142/s273759942440005x","DOIUrl":"https://doi.org/10.1142/s273759942440005x","url":null,"abstract":"The inhalation of airborne particles can endanger the health of any human being. Natural fiber and natural fiber reinforced with natural matrix material are employed in this work to create an indoor air purifier. Various natural fiber and natural composite combinations are used to purify the interior environment by eliminating particulate matter of various sizes and volatile organic chemicals. An air purifier is created using four distinct natural fibers, including hemp, jute, silk cocoon, and coir fibers, as well as neem and aloe vera gel as natural filler materials. An air quality-monitoring instrument is used to validate the performance of the designed natural fiber/natural plant-based filler material-equipped air purifier. Particulate matter of various sizes and volatile organic compounds in the indoor environment are detected at various time intervals. The efficacy of the air purifier is afterward determined in human lungs of various ages utilizing health impact simulation studies. The current product is utilized to effectively purify indoor air by eliminating particulates and volatile organic chemicals.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140521646","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 : 2023-01-01DOI: 10.1142/s2737599423400042
Rajeendra L. Pemathilaka, Nicole N. Hashemi
Striving for sustainable drug discovery, we have presented a proof-of-concept for studying the effects of pharmaceutical agents transported across the placental barrier on neural cells. The potential effects of pharmaceutical agents on fetus have made concerns about their use and require more studies to address these concerns. A placenta-on-a-chip model was fabricated and tested for transport of naltrexone (NTX) and its primary metabolite 6[Formula: see text]-naltrexol. The NTX/6[Formula: see text]-naltrexol transported from the maternal channel to the fetal channel was then collected from the fetal channel. To evaluate the behavior of neural cells following exposure to NTX and 6[Formula: see text]-naltrexol, perfusate from the fetal channel was directed toward the cultured N27 neural cells. Neural cells exposed to the transported NTX/6[Formula: see text]-naltrexol were then evaluated for gene expression and cell viability. Results showed significantly higher fold changes in IL-6 and TNF-[Formula: see text] expression when exposed to NTX/6[Formula: see text]-naltrexol. However, a lower fold change in IL-1[Formula: see text] expression was observed, while it remained the same in sphingosine kinase (sphk)1. Also, cell viability with NTX/6[Formula: see text]-naltrexol exposure was determined to be significantly lower ([Formula: see text]). This study has the potential to reveal the impact of pharmaceutical agents on the developing neural system of fetuses and their premature brains.
{"title":"Placenta-on-a-chip: Response of neural cells to pharmaceutical agents transported across the placental barrier","authors":"Rajeendra L. Pemathilaka, Nicole N. Hashemi","doi":"10.1142/s2737599423400042","DOIUrl":"https://doi.org/10.1142/s2737599423400042","url":null,"abstract":"Striving for sustainable drug discovery, we have presented a proof-of-concept for studying the effects of pharmaceutical agents transported across the placental barrier on neural cells. The potential effects of pharmaceutical agents on fetus have made concerns about their use and require more studies to address these concerns. A placenta-on-a-chip model was fabricated and tested for transport of naltrexone (NTX) and its primary metabolite 6[Formula: see text]-naltrexol. The NTX/6[Formula: see text]-naltrexol transported from the maternal channel to the fetal channel was then collected from the fetal channel. To evaluate the behavior of neural cells following exposure to NTX and 6[Formula: see text]-naltrexol, perfusate from the fetal channel was directed toward the cultured N27 neural cells. Neural cells exposed to the transported NTX/6[Formula: see text]-naltrexol were then evaluated for gene expression and cell viability. Results showed significantly higher fold changes in IL-6 and TNF-[Formula: see text] expression when exposed to NTX/6[Formula: see text]-naltrexol. However, a lower fold change in IL-1[Formula: see text] expression was observed, while it remained the same in sphingosine kinase (sphk)1. Also, cell viability with NTX/6[Formula: see text]-naltrexol exposure was determined to be significantly lower ([Formula: see text]). This study has the potential to reveal the impact of pharmaceutical agents on the developing neural system of fetuses and their premature brains.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77062645","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 : 2023-01-01DOI: 10.1142/s2737599423500020
Subhajit Kar, Madhabi Ganguly, Supratik Sen
The paper proposes a lifting scheme-based wavelet transform clustering method as a better alternative to traditional alignment-based virus genome classification and grouping techniques. The efficiency of the proposed alignment-free algorithm have been tested using Coronavirus datasets obtained from NCBI database, against established results from proven techniques. In the proposed approach, the nucleotide sequences are converted into numerical ones leveraging purine–pyrimidine mapping and a DNA walk is calculated to visually interpret them. Second-generation wavelet transform employing Cohen–Daubechies–Feauveau wavelet is applied to the numerical sequences of Coronavirus to determine the approximate coefficients. Approximate coefficients are used to cluster Coronavirus sequences using UPGMA phylogenetic tree for three different datasets of Coronaviruses comprising Coronavirus groups, Human Coronaviruses (HCoVs) and [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] Coronavirus genre. The proposed algorithm has successfully classified all the datasets with more than 97% of average accuracy compared in terms of complexity and accuracy against FFT, first-generation DWT, MEGA, and CLUSTAL-W. The obtained accuracy for Corona group is 100%, HCoV dataset is 100%, and for [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] CoV is 92%. The runtimes of the algorithm are 0.70, 1.22, and 0.63 sec for the respective Coronavirus datasets.
{"title":"Lifting scheme-based wavelet transform method for improved genomic classification and sequence analysis of Coronavirus","authors":"Subhajit Kar, Madhabi Ganguly, Supratik Sen","doi":"10.1142/s2737599423500020","DOIUrl":"https://doi.org/10.1142/s2737599423500020","url":null,"abstract":"The paper proposes a lifting scheme-based wavelet transform clustering method as a better alternative to traditional alignment-based virus genome classification and grouping techniques. The efficiency of the proposed alignment-free algorithm have been tested using Coronavirus datasets obtained from NCBI database, against established results from proven techniques. In the proposed approach, the nucleotide sequences are converted into numerical ones leveraging purine–pyrimidine mapping and a DNA walk is calculated to visually interpret them. Second-generation wavelet transform employing Cohen–Daubechies–Feauveau wavelet is applied to the numerical sequences of Coronavirus to determine the approximate coefficients. Approximate coefficients are used to cluster Coronavirus sequences using UPGMA phylogenetic tree for three different datasets of Coronaviruses comprising Coronavirus groups, Human Coronaviruses (HCoVs) and [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] Coronavirus genre. The proposed algorithm has successfully classified all the datasets with more than 97% of average accuracy compared in terms of complexity and accuracy against FFT, first-generation DWT, MEGA, and CLUSTAL-W. The obtained accuracy for Corona group is 100%, HCoV dataset is 100%, and for [Formula: see text]–[Formula: see text]–[Formula: see text]–[Formula: see text] CoV is 92%. The runtimes of the algorithm are 0.70, 1.22, and 0.63 sec for the respective Coronavirus datasets.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89821881","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 : 2023-01-01DOI: 10.1142/s2737599423400066
Manoj Kumar, Ankit D. Oza, Kiran S. Bhole, Manoj Kumar, Manish Gupta, Sumit Das Lala
This study determined the optimum HSS cutting tool technique parameters for milling W-Al-Si-C rods using Taguchi methodology. This paper explains the empirical results of the selection of appropriate cutting settings that assure lower power consumption in high-end Computer Numerical Control (CNC) machines. An experiment employing the Taguchi methodology on an extruded W-Al- Si-C rod was performed on a CNC lathe with cutting speed, feed rate, and depth of cut as the process parameters. The performance characteristics (energy usage) were quantified by a data collection system. Minor energy process parameters were selected after data analysis. Experimental results are presented to demonstrate the worth of the chosen methodology. A total of 350[Formula: see text]rpm, 0.37[Formula: see text]mm/rev feed rate, and 1[Formula: see text]mm of cut depth produced the best MRR result. The maximum material removal rate (MRR) is obtained at lower levels of spindle speed and depth of cut, i.e., 1.452[Formula: see text]g/sec.
{"title":"Optimization and analysis of machining performance for the milling process during milling of W-Al-Si-C alloy material","authors":"Manoj Kumar, Ankit D. Oza, Kiran S. Bhole, Manoj Kumar, Manish Gupta, Sumit Das Lala","doi":"10.1142/s2737599423400066","DOIUrl":"https://doi.org/10.1142/s2737599423400066","url":null,"abstract":"This study determined the optimum HSS cutting tool technique parameters for milling W-Al-Si-C rods using Taguchi methodology. This paper explains the empirical results of the selection of appropriate cutting settings that assure lower power consumption in high-end Computer Numerical Control (CNC) machines. An experiment employing the Taguchi methodology on an extruded W-Al- Si-C rod was performed on a CNC lathe with cutting speed, feed rate, and depth of cut as the process parameters. The performance characteristics (energy usage) were quantified by a data collection system. Minor energy process parameters were selected after data analysis. Experimental results are presented to demonstrate the worth of the chosen methodology. A total of 350[Formula: see text]rpm, 0.37[Formula: see text]mm/rev feed rate, and 1[Formula: see text]mm of cut depth produced the best MRR result. The maximum material removal rate (MRR) is obtained at lower levels of spindle speed and depth of cut, i.e., 1.452[Formula: see text]g/sec.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135560616","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 : 2023-01-01DOI: 10.1142/s2737599423400017
Soni Kumari, Rakesh Gupta, Gopal Krishna, K. Abhishek, Naveenkrishna Alla, K. K. Saxena
Over the past few decades, manufacturing and production have undergone rapid development, particularly through the combination of additive manufacturing (AM) and other digitally driven manufacturing machines, creating hybrid additive manufacturing (hybrid-AM). However, despite significant growth, hybrid-AM has not yet gained acceptance at an industrial level due to certain limitations. This article aims to provide the latest information and discuss recent research trends, opportunities, challenges, and indicators in the field of hybrid-AM. Specifically, it will review and analyze literature related to the development of hybrid additives and subtractive processes known as HASPs, and identify future research avenues. Additionally, the article will identify key traits and research work in HASP systems, as well as present the future of HASPs and other types of hybrid machine tools based on recent trends.
{"title":"Recent trends and research opportunities in hybrid additive manufacturing","authors":"Soni Kumari, Rakesh Gupta, Gopal Krishna, K. Abhishek, Naveenkrishna Alla, K. K. Saxena","doi":"10.1142/s2737599423400017","DOIUrl":"https://doi.org/10.1142/s2737599423400017","url":null,"abstract":"Over the past few decades, manufacturing and production have undergone rapid development, particularly through the combination of additive manufacturing (AM) and other digitally driven manufacturing machines, creating hybrid additive manufacturing (hybrid-AM). However, despite significant growth, hybrid-AM has not yet gained acceptance at an industrial level due to certain limitations. This article aims to provide the latest information and discuss recent research trends, opportunities, challenges, and indicators in the field of hybrid-AM. Specifically, it will review and analyze literature related to the development of hybrid additives and subtractive processes known as HASPs, and identify future research avenues. Additionally, the article will identify key traits and research work in HASP systems, as well as present the future of HASPs and other types of hybrid machine tools based on recent trends.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89444782","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}