... inherently. design evaluation design of experiments simulation-based design systems design systems engineering resilience redundancy network analysis 09 10 2024 06 03 2025 10 04 2025 12 05 2025 Contributed by the Design Theory and Methodology Committee of ASME...

... Contributed by the Power Transmission and Gearing Committee of ASME for publication in the J ournal of M echanical D esign . 05 09 2024 24 02 2025 28 02 2025 08 04 2025 gear dynamics TVMS load distribution dynamic characteristics design of experiments power transmission...

... . The parametric model, along with the constraints and the bounds applied during the design of experiments (DoE), significantly enriches the dataset, making it a robust foundation for the development and training of advanced deep learning models aimed at surrogate modeling and design optimization tasks. Diverging...

... kinematics quasi-sliding mode control simulation and experiment photovoltaic (PV) panel assembly design for manufacturing design of experiments parallel robots robot design robot kinematics robotic systems National Natural Science Foundation of China 10.13039/501100001809 52175013...

.... Advanced Research Projects Agency - Energy 10.13039/100006133 DE-AR0001427 National Science Foundation 10.13039/100000001 NSF-DMREF-2119103 U.S. Army Research Laboratory 10.13039/100006754 W911NF-22-2-0106 data-driven design design of experiments design optimization design...

... Design of Experiments ,” Qual. Reliab. Eng. Int. , 32 ( 5 ), pp. 1975 – 1985 . 10.1002/qre.1924 [5] Xu , S. , Liu , H. , Wang , X. , and Jiang , X. , 2014 , “ A Robust Error-Pursuing Sequential Sampling Approach for Global Metamodeling Based on Voronoi Diagram and Cross...

... or design team experiments. Fig. 6 Experiment 3: optimality gap plot showing effects of diversity when the optimizer is not allowed to fit the hyper-parameters for the Gaussian process and the hyper-parameters are instead fixed to the values found in experiment 2. The results from this plot show...

..., the computational expenditure as a constraint for the designs has not been well investigated. We aim to address them both in this work. 02 04 2022 30 01 2023 02 02 2023 15 03 2023 approximation-based optimal design design of experiments metamodeling space-filling design...

... source fixation level professional background cognitive-based design creativity and concept generation design methodology design of experiments design process National Natural Science Foundation of China 10.13039/501100001809 52035007 Design fixation is a blind adherence...

... computational resources. In such scenarios, one usually resorts to performing experiments in a manner that allows for maximizing one’s state-of-knowledge while satisfying the above-mentioned practical constraints. Sequential design of experiments (SDOE) is a popular suite of methods that have yielded promising...

... computational time is less than the widely used Dijkstra-based method. 19 08 2021 30 11 2021 01 12 2021 13 06 2022 mobility reliability path planning simulation Physarum algorithm design automation design of experiments reliability in design simulation-based design Off...

... metamodel structural design approximation-based optimal design conceptual design design methodology design of experiments design representation expert systems machine learning metamodeling simulation-based design structural optimization Surrogate models, also known as metamodels, response...

... sequential sampling multi-fidelity model Voronoi region density of samples design of experiments metamodeling The application of surrogate models on replacing computationally expensive simulation functions in engineering design optimization-based processes has received much attention...

... the printing layer height, number of shells, material infilling percentage, infilling type, and building orientation. Taguchi design of experiments approach and statistical analysis tools are used to find optimal parameter settings to improve the sustainability of the FDM process. Models formulated...

... 17 09 2020 multi-fidelity surrogate canonical correlation analysis correlation scaling factor cost ratio design of experiments metamodeling Design optimization of complicated engineering problems, which relies on lots of high-fidelity (HF) simulations, generally requires...

... selection within the parameter space is paramount. Numerous design of experiments (DOE) methodologies have been developed with the aim of identifying the optimal sample set to capture the system of interest. Adaptive sampling techniques are a subclass of DOE methods that identify optimal locations for new...

... by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 09 06 2019 01 11 2019 04 11 2019 05 12 2019 decision theory design of experiments design optimization design theory and methodology machine learning uncertainty modeling...

... Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 01 2019 12 07 2019 17 07 2019 02 08 2019 design of experiments surrogate model adaptive sampling uncertainty Design optimization and validation require extensive experiments...

... 14 10 2019 system reliability dependence accelerated life tests resources allocation design automation design of experiments reliability in design uncertainty analysis uncertainty modeling Accelerated life testing (ALT) involves the use of stress level higher than the nominal...

... not find any correlation between gender or gender diversity and creativity scores. Portions of this paper and data have been previously presented at the ASME IDETC 2018 Conference (J. Kang et al., “Exploring the use of a full factorial design of experiment method to study design briefs for creative...