.... , 53 ( 2 ), pp. 539 – 557 . 10.1016/S0007-8506(07)60028-6 [2] Zhang , J. , Chen , Y. , Xue , D. , and Gu , P. , 2014 , “ Robust Design of Configurations and Parameters of Adaptable Products ,” Front. Mech. Eng. , 9 ( 1 ), pp. 1 – 14 . 10.1007/s11465-014-0296-8 [3...

... Email: wangli@ge.com Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 13 03 2024 27 07 2024 01 08 2024 16 08 2024 artificial intelligence Data-driven design Machine learning robust design...

... 20 06 2024 19 07 2024 Graphical Abstract Figure multidisciplinary design optimization robust design surrogate modeling artificial neural networks turbocompressor design micro-turbomachinery gas-bearings herringbone grooved journal bearings manufacturing deviations...

... optimization robust design simulation-based design Fonds Wetenschappelijk Onderzoek 10.13039/501100003130 12ZZP23N Driven by the goal of reducing the computational burden associated with conventional approaches to optimization-under-uncertainty (OUU), recent years have witnessed...

... architecture product personalization product individualization impact model product family design for X design methodology design theory design theory and methodology product family design product platform design robust design Deutsche Forschungsgemeinschaft 10.13039/501100001659...

...: A Conceptual Exposition ,” 4th International Conference on Design Theory and Methodology , pp. 293 – 300 . [4] Choi , H-J , Austin , R. , Allen , J. K. , McDowell , D. L. , Mistree , F. , and Benson , D. J. , 2005 , “ An Approach for Robust Design of Reactive Power Metal...

...-objective Robust and Feasibility Robust Design Optimization ,” ASME J. Mech. Des. , 128 ( 4 ), pp. 874 – 883 . 10.1115/1.2202884 [2] Ben-Tal , A. , El Ghaoui , L. , and Nemirovski , A. , 2009 , Robust Optimization , University of Princeton , Princeton, NJ . [3] Calafiore...

... of uncertainties for new nominal designs. We can combine the proposed deep generative model with robust design optimization or reliability-based design optimization for design under uncertainty. We demonstrated the framework on two real-world engineering design examples and showed its capability of finding...

... functionally graded materials (FGMs) graphene platelets (GPLs) critical load Gauss–Laguerre quadrature realization vector set design optimization design theory and methodology robust design uncertainty analysis uncertainty modeling Traditional deterministic topology optimization (DTO) aims...

... robust design uncertainty analysis Design of complex systems (such as aircrafts and automobiles, etc.) by the all-in-one method is generally difficult to realize due to the incompatibility caused by different simulation tools and software platforms in different disciplines, complicated links...

..., [···] but when it comes to the interfaces where you have a discipline containing both mechanics, electronics, software and chemistry, then you are missing something. In terms of robust design, early assessments for mechanics are already in place. The electronics engineers relate: We might envy mechanics a bit...

... by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 12 09 2020 18 01 2021 18 01 2021 29 01 2021 agent based systems robust design Stackelberg game agent-based design McComb et al. [ 1 ] introduced the Cognitively...

... in the J ournal of A pplied M echanics . 03 03 2020 07 08 2020 22 08 2020 16 10 2020 design optimization multiobjective optimization robust design uncertainty modeling Engineering designers use complex computational models to represent a variety of problems...

... echanical D esign . 31 05 2019 12 02 2020 15 02 2020 22 02 2020 compliant mechanisms joining sequence digital twin design optimization robust design simulation-based design tolerance analysis and design Securing geometry of the produced assemblies has grasped...

...Anand Balu Nellippallil; Pranav Mohan; Janet K. Allen; Farrokh Mistree In this paper, we extend our previous work on a goal-oriented inverse design method to carry out inverse robust design by managing the uncertainty involved. The extension embodies the introduction of specific robust design goals...

... quality loss is obtained directly during the regression model building process. Four examples are used to demonstrate the robustness analysis method. The proposed method can be used for robustness analysis during robust design optimization (RDO) under time- and space-dependent uncertainty. Email...

... . 08 02 2019 03 09 2019 08 09 2019 19 09 2019 design optimization robust design uncertainty analysis uncertainty modeling The goal of feasibility robust optimization is to find the best solution to a problem that is feasible under all possible values that any...

... 06 07 2019 24 07 2019 design optimization robust design uncertainty analysis uncertainty modeling Uncertainties are inherent in the design, manufacture, service, and aging process of engineering structures. Inaccuracies in geometrical dimensions, spatial positions of joints...

... by proposing and solving a novel problem formulation based on robust design optimization (RDO) principles. Specifically, a co-design method known as multidisciplinary dynamic system design optimization (MDSDO) is used as the basis for an RDO problem formulation and implementation. The robust objective...

... Computational geometry computer-aided engineering Conceptual design Decomposition-based design optimization Design automation Design optimization Multiobjective optimization Robust design Optimization This work is primarily motivated by theoretical and practical considerations related...