Victor Delpla, J. Kenné, Ameth Maloum, M. Balalpour, L. Hof
— In the era of Industry 4.0, manufacturing systems are becoming more and more efficient. Indeed, decision making for operations and production enables companies to maximize their profits and be more competitive. However, some industries are behind in their integration of Industry 4.0 technologies. This is the case of foundries, which, with their traditional manufacturing processes, do not perceive the potential benefits of Industry 4.0. In particular, this industry relies on digital technologies to connect production systems throughout the supply chain with smart factories. The manufacturing industry must rely on Industry 4.0 to produce more personalized products while remaining economically competitive. Hence, this study seeks to optimize the manufacturing process of a titanium recycling and foundry company, Metalliage Inc., with a program that selects the raw materials to be melted in order to minimize costs and meet order constraints. A model is developed to simulate the production as a mixed integer linear programming problem. The conducted study shows a potential gain of 20% that could be achieved with production supported by Industry 4.0 technologies. A possible integration of these technologies will be proposed in the context of a metal recycling plant.
{"title":"Metal Scrap Recycling 4.0: Towards Smart Operation And Production Of High-Quality Alloys","authors":"Victor Delpla, J. Kenné, Ameth Maloum, M. Balalpour, L. Hof","doi":"10.32393/csme.2021.140","DOIUrl":"https://doi.org/10.32393/csme.2021.140","url":null,"abstract":"— In the era of Industry 4.0, manufacturing systems are becoming more and more efficient. Indeed, decision making for operations and production enables companies to maximize their profits and be more competitive. However, some industries are behind in their integration of Industry 4.0 technologies. This is the case of foundries, which, with their traditional manufacturing processes, do not perceive the potential benefits of Industry 4.0. In particular, this industry relies on digital technologies to connect production systems throughout the supply chain with smart factories. The manufacturing industry must rely on Industry 4.0 to produce more personalized products while remaining economically competitive. Hence, this study seeks to optimize the manufacturing process of a titanium recycling and foundry company, Metalliage Inc., with a program that selects the raw materials to be melted in order to minimize costs and meet order constraints. A model is developed to simulate the production as a mixed integer linear programming problem. The conducted study shows a potential gain of 20% that could be achieved with production supported by Industry 4.0 technologies. A possible integration of these technologies will be proposed in the context of a metal recycling plant.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124619757","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}
Muhammad Saad, T. Esau, Q. Zaman, A. Farooque, A. Schumann
{"title":"Development Of Ground Surface Detection System Using Microwave Radar Technology For Use With Mechanical Wild Blueberry Harvesting","authors":"Muhammad Saad, T. Esau, Q. Zaman, A. Farooque, A. Schumann","doi":"10.32393/csme.2021.118","DOIUrl":"https://doi.org/10.32393/csme.2021.118","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126972805","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}
E. Fatehi, H. Yazdani Sarvestani, B. Ashrafi, H. Akbarzadeh
{"title":"Application Of Finite Element And Machine Learning For Improving The Thermomechanical Performance Of Architectured Ceramics","authors":"E. Fatehi, H. Yazdani Sarvestani, B. Ashrafi, H. Akbarzadeh","doi":"10.32393/csme.2021.169","DOIUrl":"https://doi.org/10.32393/csme.2021.169","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459652","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":"Interfacial Cavitation Over Longer-Length Interfaces: Why Elastomers May Not Be Scalable Anti-Fouling Surfaces","authors":"Kevin Golovin","doi":"10.32393/csme.2021.31","DOIUrl":"https://doi.org/10.32393/csme.2021.31","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"53 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427900","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":"Experimental Investigation Of Multi-Step Shear Stress Relaxation And Recovery Of Silicone Rubber","authors":"B. Yenigun, E. Gkouti, A. Czekanski","doi":"10.32393/csme.2021.194","DOIUrl":"https://doi.org/10.32393/csme.2021.194","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125411501","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}
Andrew S. Lee, S. Gadsden, Stephen Wilkerson, M. AlShabi
—The Kalman filter (KF) is the most well-known estimation strategy which yields the optimal solution in terms of error to the linear quadratic estimation problem for linear, known systems in the presence of Gaussian noise. While the KF is effective under the stated conditions, it lacks robustness to disturbances which are prevalent in real-world applications. Since its inception 60 years ago, there have been numerous variants of the KF developed to accommodate nonlinear systems, non-Gaussian noise, and modeling uncertainties. The smooth variable structure filter (SVSF) is as an alternative to the KF with improved robustness, especially in the case of external disturbances. It is based on sliding mode techniques that offer robustness at the cost of optimality. The static multiple models estimator incorporates several possible operating modes and generates an estimation that is weighted based on the likelihood of each mode. This paper introduces an adaptive formulation of the SVSF based on static multiple models, and applies the developed strategy on an electrohydrostatic actuator.
{"title":"An Adaptive Variable Structured-Based Filter Using Multiple Models","authors":"Andrew S. Lee, S. Gadsden, Stephen Wilkerson, M. AlShabi","doi":"10.32393/csme.2021.185","DOIUrl":"https://doi.org/10.32393/csme.2021.185","url":null,"abstract":"—The Kalman filter (KF) is the most well-known estimation strategy which yields the optimal solution in terms of error to the linear quadratic estimation problem for linear, known systems in the presence of Gaussian noise. While the KF is effective under the stated conditions, it lacks robustness to disturbances which are prevalent in real-world applications. Since its inception 60 years ago, there have been numerous variants of the KF developed to accommodate nonlinear systems, non-Gaussian noise, and modeling uncertainties. The smooth variable structure filter (SVSF) is as an alternative to the KF with improved robustness, especially in the case of external disturbances. It is based on sliding mode techniques that offer robustness at the cost of optimality. The static multiple models estimator incorporates several possible operating modes and generates an estimation that is weighted based on the likelihood of each mode. This paper introduces an adaptive formulation of the SVSF based on static multiple models, and applies the developed strategy on an electrohydrostatic actuator.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128197594","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}
W. Travis, M. Alger, Ijaz A. Qureshi, Emily Shepherdson, A. D. Ruiter
{"title":"Attitude Determination And Control System Flight Software Development And Design","authors":"W. Travis, M. Alger, Ijaz A. Qureshi, Emily Shepherdson, A. D. Ruiter","doi":"10.32393/csme.2021.58","DOIUrl":"https://doi.org/10.32393/csme.2021.58","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132298545","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":"Thermodynamic Modeling Of Vortex Tubes Working With Real Gases","authors":"A. Mansour, Junior Lagrandeur, S. Poncet","doi":"10.32393/csme.2021.45","DOIUrl":"https://doi.org/10.32393/csme.2021.45","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305482","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":"Development Of A Bi-Criterion Objective Function For Analytical Inverse Kinematic Methods","authors":"Jiahuan Chen, Xinming Li","doi":"10.32393/csme.2021.50","DOIUrl":"https://doi.org/10.32393/csme.2021.50","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133654467","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}
— The present paper is aimed at the in-depth thermal-hydraulic analysis of supercritical water flow at various operating conditions in vertical circular tubes. A one-dimensional thermal-hydraulic solution algorithm has been used for the analysis in this paper. Nine experimental cases are studied thoroughly and out of these, four cases which are operated at various working regimes are chosen and presented for the detailed analysis of deteriorated heat transfer and normal heat transfer cases. The studies are carried out for the distributions of nondimensional acceleration and buoyancy parameters, and different types of pressure drops along the axial direction and its effect on the heat transfer.
{"title":"Numerical Investigations Of Deteriorated Heat Transfer Phenomenon For Supercritical Water Flow In Vertical Tubes","authors":"R. Maitri, Huirui Han, Chao Zhang, Jin Jiang","doi":"10.32393/csme.2021.247","DOIUrl":"https://doi.org/10.32393/csme.2021.247","url":null,"abstract":"— The present paper is aimed at the in-depth thermal-hydraulic analysis of supercritical water flow at various operating conditions in vertical circular tubes. A one-dimensional thermal-hydraulic solution algorithm has been used for the analysis in this paper. Nine experimental cases are studied thoroughly and out of these, four cases which are operated at various working regimes are chosen and presented for the detailed analysis of deteriorated heat transfer and normal heat transfer cases. The studies are carried out for the distributions of nondimensional acceleration and buoyancy parameters, and different types of pressure drops along the axial direction and its effect on the heat transfer.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162768","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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