Pub Date : 1900-01-01DOI: 10.58599/ijsmem.2023.1701
S. Vinay, K. Rao
Humanity’s dependence on signage and signalling persists across various settings and occasions, spanning from coordinating meeting times and locations to informing about transportation schedules. These notifications play a pivotal role in guiding society towards well-informed decisions, ultimately leading to an improved lifestyle. In the past, some notifications were delivered orally by town criers in rural areas. However, with significant technological advancements in towns and cities, such methods have become inadequate. Similarly, the traditional practice of sticking paper notices on wooden boards not only proves inefficient but also wasteful of valuable resources. Recognizing the significance of meeting our daily information needs in a timely and cost-effective manner, leveraging modern electronic and wireless technology becomes essential for achieving better socio-economic outcomes. Information is undeniably powerful, underscoring the paramount need for rapid and convenient dissemination of time-critical information. Considering this, the present project proposes the design and implementation of a Wireless P2.5 Full Colour LED Display Notice Board using the HDWF4 Controller. This cutting-edge display system aims to circulate vital information in public places, such as colleges, schools, offices, malls, travel hubs, and other establishments. By enhancing security systems and promoting awareness of emergency situations, potential dangers can be averted. This innovative design provides flexibility by enabling the display of messages on the P2.5 Full Colour LED module through a WiFi-controlled
{"title":"Implementation of Wireless P2.5 Full Color Led Display using HDWF4 Controller","authors":"S. Vinay, K. Rao","doi":"10.58599/ijsmem.2023.1701","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1701","url":null,"abstract":"Humanity’s dependence on signage and signalling persists across various settings and occasions, spanning from coordinating meeting times and locations to informing about transportation schedules. These notifications play a pivotal role in guiding society towards well-informed decisions, ultimately leading to an improved lifestyle. In the past, some notifications were delivered orally by town criers in rural areas. However, with significant technological advancements in towns and cities, such methods have become inadequate. Similarly, the traditional practice of sticking paper notices on wooden boards not only proves inefficient but also wasteful of valuable resources. Recognizing the significance of meeting our daily information needs in a timely and cost-effective manner, leveraging modern electronic and wireless technology becomes essential for achieving better socio-economic outcomes. Information is undeniably powerful, underscoring the paramount need for rapid and convenient dissemination of time-critical information. Considering this, the present project proposes the design and implementation of a Wireless P2.5 Full Colour LED Display Notice Board using the HDWF4 Controller. This cutting-edge display system aims to circulate vital information in public places, such as colleges, schools, offices, malls, travel hubs, and other establishments. By enhancing security systems and promoting awareness of emergency situations, potential dangers can be averted. This innovative design provides flexibility by enabling the display of messages on the P2.5 Full Colour LED module through a WiFi-controlled","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116726570","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1401
K. Venkatesan, V. M. Jothiprakash, T.Nalini
Many sectors have begun adopting cloud computing. The hazards associated with virtualization and the dispersed nature of the cloud have resulted in a number of reported security threats and attacks. The complicated system and robust design necessitate a foundation of the fundamentals. In this paper, we introduce a fool proof system for authenticating and exchanging cloud data. An effective IPSO-KELM can identify malicious actions taken by users. The origin of the data is verified first. The IPSO-KELM then decides whether the data was malicious or authentic once the sender has been verified and before it is sent to the cloud. The SHA256-RSA technique protects normal data in transit. In this article, we compare and contrast the suggested IPSO-KELM and SHA256-RSA technique to identifying fraudulent users and sharing data in the cloud with other methods.
{"title":"Cloud Data Transfer and Harmful Activity Detection using","authors":"K. Venkatesan, V. M. Jothiprakash, T.Nalini","doi":"10.58599/ijsmem.2023.1401","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1401","url":null,"abstract":"Many sectors have begun adopting cloud computing. The hazards associated with virtualization and the dispersed nature of the cloud have resulted in a number of reported security threats and attacks. The complicated system and robust design necessitate a foundation of the fundamentals. In this paper, we introduce a fool proof system for authenticating and exchanging cloud data. An effective IPSO-KELM can identify malicious actions taken by users. The origin of the data is verified first. The IPSO-KELM then decides whether the data was malicious or authentic once the sender has been verified and before it is sent to the cloud. The SHA256-RSA technique protects normal data in transit. In this article, we compare and contrast the suggested IPSO-KELM and SHA256-RSA technique to identifying fraudulent users and sharing data in the cloud with other methods.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124644096","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1108
S.Jayachitra, Sushma Jaiswal
This study looks at the testing of models for computer training. The issue with the existing research methods is that testing is mostly case-specific and requires considerable extra work. A new approach is used to introduce basic elementary interference to the input data. The approach is commonly used to work with many types of data and machine learning models. Simple disruptions can be used to forecast the handling of unexposed disturbances by a learning model. An overall test method can be helpful as a clear predictor of the tolerance of the model to intangible disorders.
{"title":"A novel approach for introducing basic elementary disturbances for evaluating machine learning models","authors":"S.Jayachitra, Sushma Jaiswal","doi":"10.58599/ijsmem.2023.1108","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1108","url":null,"abstract":"This study looks at the testing of models for computer training. The issue with the existing research methods is that testing is mostly case-specific and requires considerable extra work. A new approach is used to introduce basic elementary interference to the input data. The approach is commonly used to work with many types of data and machine learning models. Simple disruptions can be used to forecast the handling of unexposed disturbances by a learning model. An overall test method can be helpful as a clear predictor of the tolerance of the model to intangible disorders.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507661","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1402
V. Jothiprakash, M. Sezhian
Aquaponics is the practice of growing plants without soil, and it combines hydroponics (growing plants in water) and recirculating aquaculture (raising fish) systems. Some of the water’s nutrients are lost during the recirculation process in an aquaculture system, but the plants in the system are able to clean the water by absorbing the nutrients. The increasing problem of food scarcity has prompted more creative approaches to urban farming. Aquaponics is a type of hydroponics that can be used to grow plants in an urban environment. However, in order to grow plants, a smart aquaponic system requires close monitoring, mechanization, and management. Implementing vision-based systems that incorporate algorithms that make use of machine learning to boost agricultural output is one promising way to put this theory into practice. To do this, we analyzed how well the approximations of Logistic Regression (LR), K-Nearest Neighbor (KNN), and Linear Support Vector Machine (L-SVM) performed. To do this, we used computer vision to extract features from images of celery grown in a computer-controlled aquaponics system and used those images as training data for the algorithms. In order to teach the algorithms, these pictures were taken. The backup systems and cross-validation checks for each method have been improved. CNN was shown to be the most successful method
{"title":"Nanocomposites based Aquaponic Cropping System Design and Control for Agriculture Industry","authors":"V. Jothiprakash, M. Sezhian","doi":"10.58599/ijsmem.2023.1402","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1402","url":null,"abstract":"Aquaponics is the practice of growing plants without soil, and it combines hydroponics (growing plants in water) and recirculating aquaculture (raising fish) systems. Some of the water’s nutrients are lost during the recirculation process in an aquaculture system, but the plants in the system are able to clean the water by absorbing the nutrients. The increasing problem of food scarcity has prompted more creative approaches to urban farming. Aquaponics is a type of hydroponics that can be used to grow plants in an urban environment. However, in order to grow plants, a smart aquaponic system requires close monitoring, mechanization, and management. Implementing vision-based systems that incorporate algorithms that make use of machine learning to boost agricultural output is one promising way to put this theory into practice. To do this, we analyzed how well the approximations of Logistic Regression (LR), K-Nearest Neighbor (KNN), and Linear Support Vector Machine (L-SVM) performed. To do this, we used computer vision to extract features from images of celery grown in a computer-controlled aquaponics system and used those images as training data for the algorithms. In order to teach the algorithms, these pictures were taken. The backup systems and cross-validation checks for each method have been improved. CNN was shown to be the most successful method","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114949154","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1103
Anandbabu Gopatoti, Sivaram Rajeyyagari
There will be a total of 412,000 persons across the world who are diagnosed with leukaemia, with acute lymphoblastic leukaemia accounting for around 12% of all cases. As a consequence of this, leukaemia detection at an earlier stage has the potential to save the lives of millions of individuals. The identification of leukaemia using deep learning algorithms is the primary emphasis of this paper, along with blood cell counts. The photos are preprocessed using median filters, and then the K-means clustering (KMC) algorithm is used to split the data into its constituent parts. After that, the gathered features are fed into a deep learning convolutional neural network (DLCNN) in order to perform classification utilising an upgraded, speeded-up, and more robust feature descriptor (ISURF). The proposed technique achieved an accuracy rate of 99 percent while requiring a very low amount of effort, and it outperformed conventional approaches in terms of overall performance.
{"title":"Potential leukaemia classification using ISURF-DLCNN from blood cell image","authors":"Anandbabu Gopatoti, Sivaram Rajeyyagari","doi":"10.58599/ijsmem.2023.1103","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1103","url":null,"abstract":"There will be a total of 412,000 persons across the world who are diagnosed with leukaemia, with acute lymphoblastic leukaemia accounting for around 12% of all cases. As a consequence of this, leukaemia detection at an earlier stage has the potential to save the lives of millions of individuals. The identification of leukaemia using deep learning algorithms is the primary emphasis of this paper, along with blood cell counts. The photos are preprocessed using median filters, and then the K-means clustering (KMC) algorithm is used to split the data into its constituent parts. After that, the gathered features are fed into a deep learning convolutional neural network (DLCNN) in order to perform classification utilising an upgraded, speeded-up, and more robust feature descriptor (ISURF). The proposed technique achieved an accuracy rate of 99 percent while requiring a very low amount of effort, and it outperformed conventional approaches in terms of overall performance.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"101 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120872942","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1201
Anusha A, Desai Sathya Narayana Rao, Gaurav D. Saxena
The Heat Exchanger requires the least amount of initial investment and continuing maintenance while transferring energy at a maximum or minimum rate from a hot fluid to a cold fluid. With this technique, fluids are never mixed. Because they are used at high pressures and temperatures, Shell and Tube Heat Exchangers are always being improved in terms of efficiency and heat transfer rate. In this study, we suggest a design technique for a shell and tube heat exchanger that can increase the efficiency and rate of heat transfer. It consists of a tube, a tube inlet, a tube outlet, a shell, a shell inlet, a shell outlet, baffle plates, a circular tube bundle, and a baffle pitch. Three alternative pitches-Pitch-80, Pitch-60, and Pitch-40 with similar hot and cold water temperatures were taken into consideration when designing the heat exchanger described here. The helical baffle construction with Pitch Layouts is modified with varied specifications using Pitch-80, Pitch-60, and Pitch-40 and simulated with ANSYS R19.2 in the current invention (Fluent). When compared to the
{"title":"Enhancing the efficiency and speed of heat transfer using shell and tube heat exchanger design","authors":"Anusha A, Desai Sathya Narayana Rao, Gaurav D. Saxena","doi":"10.58599/ijsmem.2023.1201","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1201","url":null,"abstract":"The Heat Exchanger requires the least amount of initial investment and continuing maintenance while transferring energy at a maximum or minimum rate from a hot fluid to a cold fluid. With this technique, fluids are never mixed. Because they are used at high pressures and temperatures, Shell and Tube Heat Exchangers are always being improved in terms of efficiency and heat transfer rate. In this study, we suggest a design technique for a shell and tube heat exchanger that can increase the efficiency and rate of heat transfer. It consists of a tube, a tube inlet, a tube outlet, a shell, a shell inlet, a shell outlet, baffle plates, a circular tube bundle, and a baffle pitch. Three alternative pitches-Pitch-80, Pitch-60, and Pitch-40 with similar hot and cold water temperatures were taken into consideration when designing the heat exchanger described here. The helical baffle construction with Pitch Layouts is modified with varied specifications using Pitch-80, Pitch-60, and Pitch-40 and simulated with ANSYS R19.2 in the current invention (Fluent). When compared to the","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"96 1 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039456","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}
Electromagnetic compatibility (EMC) is an essential part in today’s society and there are more products around us that emit electromagnetic waves than ever before. To make sure that all these products function properly under all circumstances EMC testing is needed. One test that is conducted is radiated immunity testing. A susceptibility antenna is needed to perform immunity testing. This research work aims to show that a tuneable antenna could be used for immunity testing in the frequency band 20-180 MHz and in the future replace the current antenna, which is not tuneable, used at SAAB Support and Services EMC. A simulation program called EZNEC+ was used to simulate different antennas that were tested in the semianechoic chamber at SAAB. Two antenna types showed better efficiency and reached lower in frequency than SAAB’s current antenna. These antennas were a bowtie antenna and an x-shaped antenna, both extending in
{"title":"A 20-180MHz frequency band electrically tunable antenna for radiation immunity testing","authors":"Pratap Kumar, C.Sateesh kumar Reddy, Poornaiah Billa","doi":"10.58599/ijsmem.2023.1106","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1106","url":null,"abstract":"Electromagnetic compatibility (EMC) is an essential part in today’s society and there are more products around us that emit electromagnetic waves than ever before. To make sure that all these products function properly under all circumstances EMC testing is needed. One test that is conducted is radiated immunity testing. A susceptibility antenna is needed to perform immunity testing. This research work aims to show that a tuneable antenna could be used for immunity testing in the frequency band 20-180 MHz and in the future replace the current antenna, which is not tuneable, used at SAAB Support and Services EMC. A simulation program called EZNEC+ was used to simulate different antennas that were tested in the semianechoic chamber at SAAB. Two antenna types showed better efficiency and reached lower in frequency than SAAB’s current antenna. These antennas were a bowtie antenna and an x-shaped antenna, both extending in","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116337025","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1101
Anandbabu Gopatoti
Content based image retrieval (CBIR) plays the major role in real time applications likes search engines, libraries. The conventional CBIR systems are implemented by using basic image processing and machine learning models. So, they resulted in the poor performance against various situations. Therefore, this article is focused on implementation of CBIR system using multi-layer perception based convolutional neural network (MLP-CNN). Initially, principal component analysis (PCA) applied on images to perform the dimensionality reduction operation, which also extracts the content specific features. Further, MLP-CNN model is used to train the system and generates the trained features. Finally, the testing operation is performed using MLP-CNN, which generates the output as content specific images. The simulation results shows that the proposed method resulted in superior performance as compared to state of art approaches.
{"title":"Content based word image retrieval using multi-layer perception based convolutional neural networks","authors":"Anandbabu Gopatoti","doi":"10.58599/ijsmem.2023.1101","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1101","url":null,"abstract":"Content based image retrieval (CBIR) plays the major role in real time applications likes search engines, libraries. The conventional CBIR systems are implemented by using basic image processing and machine learning models. So, they resulted in the poor performance against various situations. Therefore, this article is focused on implementation of CBIR system using multi-layer perception based convolutional neural network (MLP-CNN). Initially, principal component analysis (PCA) applied on images to perform the dimensionality reduction operation, which also extracts the content specific features. Further, MLP-CNN model is used to train the system and generates the trained features. Finally, the testing operation is performed using MLP-CNN, which generates the output as content specific images. The simulation results shows that the proposed method resulted in superior performance as compared to state of art approaches.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557288","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1301
V.Mouliraj, Ramesh Kumar Yadav, N.Balachandar
This paper develops Micro-electromechanical Systems-based pressure sensor diaphragms (MEMS). This paper aims to build, model, and test a MEMS-based diaphragm that uses numerous structures of the same area and material to sense differential pressure. Similar goals: Diaphragm deflection and sensitivity were studied using COMSOL multiphysics software. LTspice is a high-performance SPICE simulator with a graphical schematic capture interface. The diaphragm bends when pressure changes, affecting the substrate-diaphragm displacement in COMSOL and the voltage output in LTspice via changing the resistances of three sensors. Voltage output changes with diaphragm bending. Changing voltage and displacement indicate environmental pressure. This method improves instrument response. In this work, a circular diaphragm-based pressure sensor has higher displacement, sensitivity, and stress output responses than a square or rectangular one.
{"title":"Pressure sensor diaphragm modelling and deformation analysis","authors":"V.Mouliraj, Ramesh Kumar Yadav, N.Balachandar","doi":"10.58599/ijsmem.2023.1301","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1301","url":null,"abstract":"This paper develops Micro-electromechanical Systems-based pressure sensor diaphragms (MEMS). This paper aims to build, model, and test a MEMS-based diaphragm that uses numerous structures of the same area and material to sense differential pressure. Similar goals: Diaphragm deflection and sensitivity were studied using COMSOL multiphysics software. LTspice is a high-performance SPICE simulator with a graphical schematic capture interface. The diaphragm bends when pressure changes, affecting the substrate-diaphragm displacement in COMSOL and the voltage output in LTspice via changing the resistances of three sensors. Voltage output changes with diaphragm bending. Changing voltage and displacement indicate environmental pressure. This method improves instrument response. In this work, a circular diaphragm-based pressure sensor has higher displacement, sensitivity, and stress output responses than a square or rectangular one.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717386","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 : 1900-01-01DOI: 10.58599/ijsmem.2023.1304
Ravichandran S, V. Jothiprakash, K. Venkatesan
The purpose of the technology behind exoskeletons is to achieve human-machine motor function. The performance of the military, industry, and the medical field is all improved with exoskeletons. Rehabilitative benefits can be gained from using medical exoskeletons. The design and development of mechanical structures have an impact on the cost of metabolic processes, as well as size, portability, and cost. Exoskeletons are now within reach of consumers in underdeveloped nations thanks to the miniaturisation of components including electronics, controls, motors, and drives. The use of alternative material for the exoskeleton structure improves both its safety and its strength while simultaneously reducing its overall cost. Frames can be made out of metals, composites, or polymers. In this study, the technology of additive manufacturing is used to choose the components that will go into an exoskeleton frame for lower limb rehabilitation. CATIA v5 generates a 3D model, and Ansys carries out a finite element analysis to estimate the deformation of the material and determine whether or not it is appropriate for use by various age groups.
{"title":"Finite Element Analysis Optimises Material Selection and 3D Printing of Lower Limb Exoskeletons","authors":"Ravichandran S, V. Jothiprakash, K. Venkatesan","doi":"10.58599/ijsmem.2023.1304","DOIUrl":"https://doi.org/10.58599/ijsmem.2023.1304","url":null,"abstract":"The purpose of the technology behind exoskeletons is to achieve human-machine motor function. The performance of the military, industry, and the medical field is all improved with exoskeletons. Rehabilitative benefits can be gained from using medical exoskeletons. The design and development of mechanical structures have an impact on the cost of metabolic processes, as well as size, portability, and cost. Exoskeletons are now within reach of consumers in underdeveloped nations thanks to the miniaturisation of components including electronics, controls, motors, and drives. The use of alternative material for the exoskeleton structure improves both its safety and its strength while simultaneously reducing its overall cost. Frames can be made out of metals, composites, or polymers. In this study, the technology of additive manufacturing is used to choose the components that will go into an exoskeleton frame for lower limb rehabilitation. CATIA v5 generates a 3D model, and Ansys carries out a finite element analysis to estimate the deformation of the material and determine whether or not it is appropriate for use by various age groups.","PeriodicalId":103282,"journal":{"name":"International Journal of Scientific Methods in Engineering and Management","volume":"52 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127570754","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}
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