{"title":"Assessment Of Turbulent Mixing In A Static Mixer Using Mean Age","authors":"Kanishk Patel, A. Komrakova","doi":"10.32393/csme.2021.195","DOIUrl":"https://doi.org/10.32393/csme.2021.195","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"13 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":"130028193","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":"Tuning The Drag Coefficent Used In Discrete Phase Modelling To Predict The Total Collection Efficiency Of A Standard Cyclone Particle Separator","authors":"M. Parker, E. Savory, A. Straatman","doi":"10.32393/csme.2021.101","DOIUrl":"https://doi.org/10.32393/csme.2021.101","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"3 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":"129061590","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}
—With the advances in manufacturing and design methods, engineers have been constantly pushed to improve mechanical components performance by minimizing part weight, maximize stiffness and optimize material usage. Tools such as topology optimization has been widely used to support the development of new components. While the optimization process for metallic components is well stablished, composite materials optimization still possess challenges to designers, especially due to the plies stacking sequence definition. The recent advances in 3D printed composite additive manufacturing have brought a new alternative to the composite manufacturing adding geometric freedom and challenges on the definition of the optimum material layout and lay-up. Thus, this paper expands upon existing mathematical methods by providing an algorithm to simultaneously minimizing the material distribution and the laminate stacking sequence of composite plates. Lamination parameters are used as design variables to optimize the laminate stacking sequence avoiding local optimum solutions and reducing the number of designable variables. Once the optimum topology and set of lamination parameters are defined, angle retrieval is performed to define the optimum plies orientation. Two problem examples are solved to illustrate the applicability of this approach.
{"title":"Simultaneous Topology And Composite Lay-Up Optimization","authors":"R. Bohrer, I. Kim","doi":"10.32393/csme.2021.8","DOIUrl":"https://doi.org/10.32393/csme.2021.8","url":null,"abstract":"—With the advances in manufacturing and design methods, engineers have been constantly pushed to improve mechanical components performance by minimizing part weight, maximize stiffness and optimize material usage. Tools such as topology optimization has been widely used to support the development of new components. While the optimization process for metallic components is well stablished, composite materials optimization still possess challenges to designers, especially due to the plies stacking sequence definition. The recent advances in 3D printed composite additive manufacturing have brought a new alternative to the composite manufacturing adding geometric freedom and challenges on the definition of the optimum material layout and lay-up. Thus, this paper expands upon existing mathematical methods by providing an algorithm to simultaneously minimizing the material distribution and the laminate stacking sequence of composite plates. Lamination parameters are used as design variables to optimize the laminate stacking sequence avoiding local optimum solutions and reducing the number of designable variables. Once the optimum topology and set of lamination parameters are defined, angle retrieval is performed to define the optimum plies orientation. Two problem examples are solved to illustrate the applicability of this approach.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"16 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":"130194885","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":"Influence Of Isotropy On Mechanical Properties Of Nanocrystalline Iron","authors":"Stephen M. Handrigan, S. Nakhla","doi":"10.32393/csme.2021.122","DOIUrl":"https://doi.org/10.32393/csme.2021.122","url":null,"abstract":"","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":"123950529","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 Study Of Viscoplastic Fluid Placement In A Confined Geometry With Application In The Plug And Abandonment Of Oil And Gas Wells","authors":"Soheil Akbari, S. Taghavi","doi":"10.32393/csme.2021.111","DOIUrl":"https://doi.org/10.32393/csme.2021.111","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"78 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":"127716561","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}
Alla Eddine Benchikh Lehocine, Sébastien Poncet, H. Fellouah
The restrictions related to air quality are increasing making the improvement of the air system important. The squirrel cage fan (SCF), also known as forward-curved multiblade centrifugal fan, is widely used in vacuum systems. Most of researches so far used commercial software to study and optimize the SCF. In the present study, a complete automatic optimization process loop is developed based only on open source libraries: Dakota, Salome and OpenFOAM. Up to seven design parameters are selected. The Latin Hypercube Sampling (LHS) method is preferred to determine the design points and then the Kriging and Efficient Global optimization (EGO) metamodels are built. A 3D incompressible simple FOAM solver is coupled to the Multiple reference frame (MRF) approach to model the flow in the SCF. An efficiency improvement of 8.46% is reached by the EGO approach. A strong vortex is observed in the cutoff region. The optimal design is finally validated against the produced prototype, with an error of 3.4% on the efficiency.
{"title":"Optimization Of A Squirrel Cage Fan","authors":"Alla Eddine Benchikh Lehocine, Sébastien Poncet, H. Fellouah","doi":"10.32393/csme.2021.237","DOIUrl":"https://doi.org/10.32393/csme.2021.237","url":null,"abstract":"The restrictions related to air quality are increasing making the improvement of the air system important. The squirrel cage fan (SCF), also known as forward-curved multiblade centrifugal fan, is widely used in vacuum systems. Most of researches so far used commercial software to study and optimize the SCF. In the present study, a complete automatic optimization process loop is developed based only on open source libraries: Dakota, Salome and OpenFOAM. Up to seven design parameters are selected. The Latin Hypercube Sampling (LHS) method is preferred to determine the design points and then the Kriging and Efficient Global optimization (EGO) metamodels are built. A 3D incompressible simple FOAM solver is coupled to the Multiple reference frame (MRF) approach to model the flow in the SCF. An efficiency improvement of 8.46% is reached by the EGO approach. A strong vortex is observed in the cutoff region. The optimal design is finally validated against the produced prototype, with an error of 3.4% on the efficiency.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"59 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":"127958268","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":"An Adaptive Feedforward Control Structure For Functional Electrical Stimulation Based Joint Position Control","authors":"Rezvan Nasiri, H. Rouhani, A. Arami","doi":"10.32393/csme.2021.38","DOIUrl":"https://doi.org/10.32393/csme.2021.38","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"1 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":"128824332","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}
B. Yenigun, A. Moter, Mohamed Abdelhamid, A. Czekanski
—Additive manufacturing is a crucial new trend that is steadily taking over traditional methods. Despite its many advantages, the anisotropic nature of the produced parts of most additive manufacturing methods is a significant disadvantage. Of the methods that suffers from this anisotropy drawback is the fused filament fabrication (also known as fused deposition modeling). As a result of this anisotropy in the mechanical properties, a need arises to define the optimum direction of printing to be used for a certain loading condition. Topology optimization is a great numerical design tool for weight and material savings. It’s basically used to determine where to put material to optimize a certain objective function under specific constraints. The design variables in a topology optimization are typically chosen as the densities of the finite elements. Adding the printing direction as an additional design variable complicates the problem further. This eventually gives rise to a huge selection of local minima and further increases in the computational costs. In this work, we attempt to utilize artificial neural networks to tackle this problem. Selected results of mass minimization problems run in ANSYS are used as input data for the neural network model, which is used to predict the fiber angle that has the minimum mass under specific stress constraints. Results so far are promising with small errors considering the computational savings achieved.
{"title":"Mass Optimization Of 3D-Printed Composites Using Topology Optimization And Artificial Neural Network","authors":"B. Yenigun, A. Moter, Mohamed Abdelhamid, A. Czekanski","doi":"10.32393/csme.2021.224","DOIUrl":"https://doi.org/10.32393/csme.2021.224","url":null,"abstract":"—Additive manufacturing is a crucial new trend that is steadily taking over traditional methods. Despite its many advantages, the anisotropic nature of the produced parts of most additive manufacturing methods is a significant disadvantage. Of the methods that suffers from this anisotropy drawback is the fused filament fabrication (also known as fused deposition modeling). As a result of this anisotropy in the mechanical properties, a need arises to define the optimum direction of printing to be used for a certain loading condition. Topology optimization is a great numerical design tool for weight and material savings. It’s basically used to determine where to put material to optimize a certain objective function under specific constraints. The design variables in a topology optimization are typically chosen as the densities of the finite elements. Adding the printing direction as an additional design variable complicates the problem further. This eventually gives rise to a huge selection of local minima and further increases in the computational costs. In this work, we attempt to utilize artificial neural networks to tackle this problem. Selected results of mass minimization problems run in ANSYS are used as input data for the neural network model, which is used to predict the fiber angle that has the minimum mass under specific stress constraints. Results so far are promising with small errors considering the computational savings achieved.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"23 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":"116025935","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":"Elimination Of The Mullins Effect For Four Rubbers","authors":"E. Gkouti, B. Yenigun, A. Czekanski","doi":"10.32393/csme.2021.18","DOIUrl":"https://doi.org/10.32393/csme.2021.18","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"261 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":"115670938","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":"An Investigation Of The Thermal Performance Of Heat Pipes Under Different Operating Conditions","authors":"D. Sarkar, C. DeGroot, E. Savory","doi":"10.32393/csme.2021.171","DOIUrl":"https://doi.org/10.32393/csme.2021.171","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"16 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":"116241499","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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