{"title":"Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach","authors":"M. R. Sethi, S. Sahoo, J. Dhanraj, V. Sugumaran","doi":"10.1520/ssms20220023","DOIUrl":"https://doi.org/10.1520/ssms20220023","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"32 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81091587","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}
{"title":"Feasibility Study of CO2-Based Vortex Tube Cooling System in Turning of Ti-6Al-4V","authors":"Khirod Mahapatro, P. Vamsi Krishna","doi":"10.1520/ssms20210043","DOIUrl":"https://doi.org/10.1520/ssms20210043","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"47 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78369472","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}
Vashisht Kant, G. Kartheek, P. Vamsi Krishna, C. Sukjamsri
{"title":"Residual Stress Evaluation Using Finite Element Modeling in Turning of Ti-6Al-4V and Its Optimization Using RSM","authors":"Vashisht Kant, G. Kartheek, P. Vamsi Krishna, C. Sukjamsri","doi":"10.1520/ssms20220009","DOIUrl":"https://doi.org/10.1520/ssms20220009","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"10 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76474391","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}
{"title":"Research Directions for Merging Geospatial Technologies with Smart Manufacturing Systems","authors":"Johannes Scholz, W. Bernstein, R. Radkowski","doi":"10.1520/ssms20220004","DOIUrl":"https://doi.org/10.1520/ssms20220004","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"32 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87032924","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}
Marwan El Helou, Khaled Benfriha, A. Al-Ahmari, Peter Wardle, Esma Talhi, Stéphane Loubère, Chawki El Zant, Quentin Charrier
In manufacturing systems, there are several essential tasks to perform before and after the production process. In traditional systems, these tasks were done manually, which can lead to more resource consumption and the risk of human error; however, advanced manufacturing systems and Industry 4.0 tend toward a more autonomous manner. To ensure the compliance of the machining process and the safety of the personnel as well as the machines at the shop floor, the inspection of the overall factory prior to any machining process and the control of conformity of the manufactured parts are necessary in order to know the status of the manufacturing line. This paper proposes a novel modular smart vision system for machine inspection and conformity control of machined parts. Our system uses smart vision technologies embedded in industrial robots and enhanced with image processing and analysis capabilities. The solution also integrates a user interface for human–machine interactions that has been developed with a modular approach, and is designed, launched, and controlled by the manufacturing execution system, allowing agile and customized configuration. By this new approach, the robot inspects all the machines in the factory to check the status before launching the production plan. After the machining process, the system interprets the in situ dimensional analysis for the machined parts and makes decisions about whether the parts are acceptable or require additional machining.
{"title":"A Modular Smart Vision System for Industrial Inspection and Control of Conformity","authors":"Marwan El Helou, Khaled Benfriha, A. Al-Ahmari, Peter Wardle, Esma Talhi, Stéphane Loubère, Chawki El Zant, Quentin Charrier","doi":"10.1520/ssms20220003","DOIUrl":"https://doi.org/10.1520/ssms20220003","url":null,"abstract":"In manufacturing systems, there are several essential tasks to perform before and after the production process. In traditional systems, these tasks were done manually, which can lead to more resource consumption and the risk of human error; however, advanced manufacturing systems and Industry 4.0 tend toward a more autonomous manner. To ensure the compliance of the machining process and the safety of the personnel as well as the machines at the shop floor, the inspection of the overall factory prior to any machining process and the control of conformity of the manufactured parts are necessary in order to know the status of the manufacturing line. This paper proposes a novel modular smart vision system for machine inspection and conformity control of machined parts. Our system uses smart vision technologies embedded in industrial robots and enhanced with image processing and analysis capabilities. The solution also integrates a user interface for human–machine interactions that has been developed with a modular approach, and is designed, launched, and controlled by the manufacturing execution system, allowing agile and customized configuration. By this new approach, the robot inspects all the machines in the factory to check the status before launching the production plan. After the machining process, the system interprets the in situ dimensional analysis for the machined parts and makes decisions about whether the parts are acceptable or require additional machining.","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"363 6 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82746777","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}
Thamiris Linhares Marques, Gabriela Giusti, M. H. de Paula e Silva, J. V. Mendes, M. C. B. de Figueirêdo, D. A. L. Silva
{"title":"Monitoring and Evaluating Eco-efficiency by Three Different Ways in a Beverage Company: A Lean-Green Approach","authors":"Thamiris Linhares Marques, Gabriela Giusti, M. H. de Paula e Silva, J. V. Mendes, M. C. B. de Figueirêdo, D. A. L. Silva","doi":"10.1520/ssms20220006","DOIUrl":"https://doi.org/10.1520/ssms20220006","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"87 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80008009","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}
{"title":"Redesign Driven by Manufacturing Data for Next-Generation Modernization of Legacy Products","authors":"D. Eddy, S. Krishnamurty, Ryan Carrara","doi":"10.1520/ssms20220007","DOIUrl":"https://doi.org/10.1520/ssms20220007","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"30 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80563234","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}
{"title":"Depth of Penetration Model in AWJ Cutting Process Considering the Effect of Frictional Drag of Kerf Wall on the Water-Jet Velocity","authors":"K. Panchal, Abdul Hafiz Shaikh","doi":"10.1520/ssms20210018","DOIUrl":"https://doi.org/10.1520/ssms20210018","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":"54 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84566443","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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