... computer vision vortex detection line integral convolution computational fluid dynamics turbulent flows machine learning for engineering applications physics-based simulations Vortex core detection is a challenging subject in fluid mechanics research and how to detect these reliably remains...

... engineering inverse methods for engineering applications physics-based simulations National Natural Science Foundation of China 10.13039/501100001809 51975589 As the train developed toward heavy loads and high speeds, the severe wear of the wheel and rail profile will worsen...

... ]. National Science Foundation 10.13039/100000001 CBET 1703093 cervical spine injury finite element method range of motion mesh sensitivity intersubject variability human–computer interfaces/interactions physics-based simulations 11 07 2022 12 11 2022 15 11 2022 09 01...

... in the United States. Approved for public release; distribution is unlimited. 19 08 2022 22 11 2022 22 11 2022 21 12 2022 advanced computing infrastructure model-based systems engineering multiphysics modeling and simulation physics-based simulations Adhesive step-lap...

... 04 2022 01 09 2022 02 09 2022 27 09 2022 data-driven engineering inverse methods for engineering applications machine learning for engineering applications physics-based simulations qualification, verification and validation of computational models Once...

... machine learning for engineering applications model-based systems engineering multi-physics modeling and simulation physics-based simulations In many engineering applications, physics-based computational models are used to analyze the system behavior under different operating conditions...

... cience in E ngineering . 29 01 2022 11 05 2022 11 05 2022 18 07 2022 artificial intelligence data-driven engineering inverse methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601...

...-based simulations 25 09 2021 18 03 2022 21 03 2022 10 05 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . This publication was prepared by those...

... machine learning for engineering applications manufacturing automation physics-based simulations process modeling for engineering applications Near-net-shaped manufacturing techniques such as casting, forging, friction welding, additive manufacturing, and other similar processes are commonly...

... computer aided design physics-based simulations China Scholarship Council 10.13039/501100004543 201806890022 Wireless power transfer (WPT) has attracted a wide range of interests in the past decade [ 1 ]. Among different techniques, inductive power transfer (IPT) is a popular...

... in E ngineering . 11 05 2021 18 01 2022 20 01 2022 21 02 2022 machine learning for engineering applications physics-based simulations Defense Advanced Research Projects Agency 10.13039/100000185 FA8750-20-C-0002 Computational fluid dynamics (CFD...

..., worldwide license to publish or reproduce the published form of this work, or allow others to do so, for United States government purposes. 11 12 2020 04 10 2021 08 10 2021 05 11 2021 multiphysics modeling and simulation search algorithms vectorization physics-based...

... computational foundations for engineering optimization computer aided design computer aided engineering multiphysics modeling and simulation physics-based simulations Accurate measurement of the volumetric flowrate of working liquids is essential for process control, as well as energy consumption...

... advantage of the strengths of both physics-based and data-driven models, we propose a novel, hybrid modeling framework for laser powder bed fusion (L-PBF) process. Our unbiased model-integration method combines physics-based, simulation data, and measurement data for approaching a more accurate prediction...

... curves. Email: mattec4@gmail.com Email: tszho.kwok@concordia.ca 30 09 2020 30 01 2021 31 01 2021 12 05 2021 computational geometry computer aided design computer aided engineering physics-based simulations The finite element method (FEM) has been used...

... computational metrology inverse methods for engineering applications machine learning for engineering applications multiscale modeling and simulation physics-based simulations With only a few extraordinarily well-controlled exceptions, all materials contain defects [ 1 ]. Here, the term “defect...

... 03 2021 15 03 2021 digital twin aircraft assembly quality deviation control asset management shell FP-growth association analysis data-driven engineering information management physics-based simulations Known as “the pearl on the crown of modern industry” civilian aircraft...

... for engineering applications physics-based simulations In reliability engineering [ 1 – 5 ], the average lifetime, or the mean time to failure (MTTF), is an important metric of product reliability [ 1 , 6 ]. Statistics-based methods [ 7 , 8 ] are widely used to estimate the MTTF. The methods need...

...-dimensional model three-dimensional model maximum weight lifting dynamic joint strength inverse dynamic optimization computer-aided engineering physics-based simulations Despite the advancement in robotics and automation fields, manual material handling (MMH)-related injuries like hyperextension...

.../interactions physics-based simulations In 1987, it was estimated that more than 2 million of the elderly in U.S. had difficulties in accomplishing sit-to-stand (STS) tasks [ 1 ]. Many of the elderly were unable to rise from a chair without assistance [ 2 ]. Although there is no recent data...