... 09 04 2024 Graphical Abstract Figure data-driven design design of experiments design optimization design process machine learning simulation-based design Advanced Research Projects Agency - Energy 10.13039/100006133 DE-AR0001427 National Science Foundation...

... , F. A. C. , 2016 , “ A Tutorial on Latin Hypercube 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...

... 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...

... optimization. However, before the optimization, creating a metamodel to replace the computationally expensive and time-consuming S–P model is highly desirable (see Fig. 3 ). Metamodel, created by careful design of experiments (DOE), is essentially a “black-box” that approximates the S–P simulations. Given...

.... 10 02 2018 16 06 2018 Design automation Design of experiments Reliability in design Uncertainty analysis Uncertainty modeling Accelerated life testing (ALT) has been widely used in product reliability assurance to induce failures in a relatively short time, by testing...

... in the J OURNAL OF M ECHANICAL D ESIGN . Manuscript received November 8, 2017; final manuscript received April 18, 2018; published online June 1, 2018. Assoc. Editor: Samy Missoum. 08 11 2017 18 04 2018 Design of experiments Metamodeling Reliability in design Simulation-based...

... . Manuscript received November 5, 2016; final manuscript received September 5, 2017; published online November 9, 2017. Assoc. Editor: Gary Wang. 05 11 2016 05 09 2017 Computational geometry computer-aided design computer-aided engineering Design of experiments Metamodeling systems...