Progress in Canadian Mechanical Engineering. Volume 4最新文献

{"title":"Reduced-Order Neural Network Plant Models For Proton Exchange Membrane Fuel Cells Using Principal Component Analysis","authors":"Chris Shum, J. McPhee","doi":"10.32393/csme.2021.135","DOIUrl":"https://doi.org/10.32393/csme.2021.135","url":null,"abstract":"High-fidelity physics-based models can represent complex systems with high accuracy but, due to high computational cost, are often ill-suited for real-time applications. Data-driven models such as neural networks can yield competitive accuracy with reduced computation cost, may capture system-specific phenomena not accounted for in physics-based models, and can be further accelerated using parallel computing. For resource-constrained applications such as embedded controllers for automotive platforms, data-driven approaches can enable use of model predictive control where an analytical physics-based model would be computationally prohibitive. A disadvantage can be the memory (static ROM and dynamic RAM) required to store the model parameters which is a key metric for feasibility of use in embedded control systems. Model complexity reduction is therefore highly desirable. In this work, an ensemble of feedforward neural networks is used to approximate the input-output mapping for a hydrogen proton exchange membrane fuel cell of a typical design used in production light-duty fuel cell vehicles. The baseline models are fully-connected multilayer perceptron networks using rectified linear unit activation functions, trained using scaled conjugate gradient backpropagation. These models achieve mean relative error of <6.6% versus ground truth data over 52 predicted output features. The models are further optimized by pre-conditioning the neural network training data using principal component analysis (PCA) to project the input features onto an orthogonal basis, maximizing the variance per input feature and allowing for reduction of the input dimension by discarding negligible components. The PCA-reduced models achieve an overall reduction of 6-45% in neuron count compared to the baseline models, corresponding to memory reductions of 6-45% in calibration ROM and 8-40% in stack RAM. Aggregate execution time of the ensemble was measured at 146 μs and 107 μs on representative automotive controller hardware for the baseline and PCA-reduced models, respectively, representing a 26.7% reduction. For this improvement in performance (reduction in model size), the","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":"130953203","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":"In Situ Characterization Of The Mechanical Properties Of Human Knee Ligaments","authors":"Samira Vakili, L. Montgomery, B. Lanting, R. Willing","doi":"10.32393/csme.2021.212","DOIUrl":"https://doi.org/10.32393/csme.2021.212","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"47 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":"133668620","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":"Analysis Of Microgeneration Options For The City Of Edmonton","authors":"Miguel L Baritto Loreto, Craig Marple","doi":"10.32393/csme.2021.90","DOIUrl":"https://doi.org/10.32393/csme.2021.90","url":null,"abstract":"—In this work we identified several microgeneration options suitable for Edmonton conditions. The microgeneration systems were evaluated on technical, economic, environmental, and social criteria, and based on this assessment and by means of an Analytical Hierarchy Process, a priority score was assigned to each option. In this way, the City of Edmonton can make informed decisions on the order of execution of future projects on microgeneration in the City.","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":"123751817","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":"Parameters Influencing Hair Fescue And Sheep Sorrel Identification In Wild Blueberry Fields Using Convolutional Neural Networks","authors":"Patrick Hennessy, T. Esau, Q. Zaman, K. Corscadden, A. Schumann, A. Farooque","doi":"10.32393/csme.2021.160","DOIUrl":"https://doi.org/10.32393/csme.2021.160","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"96 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":"122027112","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":"Full Field Measurements Applied To The Experimental Testing Of Structural Parts For The Aerospace Industry","authors":"Stéphane Hu, Alessandra Lingua, Jacques Lengaigne, M. Lévesque, D. Therriault, D. Walch, I. Tabiai","doi":"10.32393/csme.2021.164","DOIUrl":"https://doi.org/10.32393/csme.2021.164","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":"122267983","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":"Iris (Manitobasat-1) – A Cubesat Mission To Study Space Weathering Of Planetary Surfaces: Payload Selection And Testing","authors":"S. Connell, N. Turenne, E. Cloutis, M. Driedger, A. Barari, P. Ferguson","doi":"10.32393/csme.2021.207","DOIUrl":"https://doi.org/10.32393/csme.2021.207","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":"126972434","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":"Computational Fluid Dynamics Modelling Of Cough Droplet Trajectories And Mask Material Effectiveness","authors":"L. Kober, Sylvie Antoun, M. Jadidi, S. Dworkin","doi":"10.32393/csme.2021.183","DOIUrl":"https://doi.org/10.32393/csme.2021.183","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"132 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":"126883115","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 An Adaptive Weighted Prediction-Based Model Predictive Control Using Disturbance Estimation For Longitudinal Autonomous Driving","authors":"K. Oh, Jaho Seo","doi":"10.32393/csme.2021.130","DOIUrl":"https://doi.org/10.32393/csme.2021.130","url":null,"abstract":"","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"51 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":"115798511","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":"CFD-DEM Simulation Of Multi-Particle Arching At Sand Filter Opening","authors":"F. Razavi, A. Komrakova, Carlos Lange","doi":"10.32393/csme.2021.222","DOIUrl":"https://doi.org/10.32393/csme.2021.222","url":null,"abstract":"—The primary motivation of this research is to offer an insight into the conditions and parameters that influence on the formation, stabilization, destruction and reformation of the multi-particle sand arching (bridging) as an efficient particle retention mechanism occurred at filter opening. The arching phenomenon is numerically explored by coupling two tools: CFD to model the fluid flow, and DEM to model the particle flow. The coupling is done in STAR-CCM+ (SIEMENS PLM). In this research, the arching at the filter opening at the micro-scale with heavy oil as the carrier phase of particles (in oil sand reservoirs) is investigated. The research outcome of this study is a computational fluid dynamic (CFD) - discrete element method (DEM) model cable of predicting multi-particle arch formation, stabilization, breakage and reformation. In particular, some of the parameters and conditions that could affect multi-particle arch performance are also studied such as size and shape of the particles and particle size distribution. Applying and advancing the knowledge gained in this research will help the research industry partner make better decisions about filter selection and filter opening design. experimental results","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":"129638752","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":"Flow Over Micro Pillars Immersed In A Laminar Boundary Layer: Effects Of Micro-Pillar Geometry And Tandem Interaction","authors":"M. Yaras, Cagri Metin","doi":"10.32393/csme.2021.109","DOIUrl":"https://doi.org/10.32393/csme.2021.109","url":null,"abstract":"— The study investigates the flow development in the vicinity and wake of micro pillars mounted on a surface immersed in the inner region of a laminar boundary layer. The investigation is based on the numerical solution of the Navier Stokes equations for incompressible conditions. The height of the micro pillar is shown to significantly affect the tip and base vortices dominating the micro-pillar wake, with this effect extending up to 16 micro-pillar diameters downstream. Tandem installation of two micro pillars with a height-to-diameter ratio of 4.0 eight micro-pillar diameters apart is shown to result in relatively weak aerodynamic interaction of the two micro pillars, with the wake of each micro pillar containing dominant vortical structures of comparable strength.","PeriodicalId":446767,"journal":{"name":"Progress in Canadian Mechanical Engineering. Volume 4","volume":"104 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":"122896961","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}