... of tensor V , V 0 = volumes of the solid structure and the entire domain ς = damping coefficient λ = Lagrangian multiplier topology optimization convolutional neural network machine learning artificial intelligence computer-aided design conceptual design design...

...: thogan@cadence.com Email: mirko@cadence.com Email: lkara@cmu.edu design automation design optimization Machine learning Journal of Mechanical Design. Received October 25, 2022; Accepted manuscript posted May 14, 2023. doi:10.1115/1.4062640 Copyright © 2023 by ASME Journal of Mechanial...

...@qq.com 1 Corresponding author. Email: jian.dai@kcl.ac.uk SLPM origami robot flexible hinge design simulation design of machine elements design optimization kinematics parallel robots robot design robot kinematics spring design springs structural optimization...

... in the J ournal of M echanical D esign . 04 01 2023 09 03 2023 10 03 2023 16 05 2023 approximation-based optimal design design optimization Machine learning metamodeling multiobjective optimization Accepted Manuscript Not Copyedited Journal of Mechanical Design...

...Eugeniu Grabovic; Alessio Artoni; Marco Gabiccini The aim of this paper is to present a holistic framework to design optimized spiral bevel and hypoid gearsets with accurate finite element simulations in the loop. Starting from the basic transmission data, we first size gear and pinion blanks...

... kinematic DOF input that meet single and multiple specified target deformations, or output states. Target deformations can either be specified at single nodes or at regions of multiple nodes to generate complex shape-morphing behavior. The results are achieved by a two-step design optimization method...

... , “ Quality Engineering Through Design Optimization ,” Proceedings of International Conference on Quality Control , Tokyo, Japan , Oct. 17–20 . [16] Kiran , D. R. , 2017 , Total Quality Management , Elsevier Inc. , Cambridge, MA . [17] Kumar , R. S. , Alagumurthi , N...

...Corey M. Parrott; Diab W. Abueidda; Kai A. James The computational cost of traditional gradient-based topology optimization is amplified for multidisciplinary design optimization (MDO) problems, most notably when coupling between physics disciplines is accounted for. To alleviate this, we...

... across markets is not sufficient to balance the cost of the optimal attribute level when platforming, the optimum is to not platform. We investigate profit-optimal platforming and design optimization of product components considering market equilibrium. We develop two approaches to solve...

... author. Email: rmalak@tamu.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 06 2022 20 01 2023 23 01 2023 17 02 2023 design optimization metamodeling multi-objective optimization Bayesian...

... for publication in the J ournal of M echanical D esign . 13 06 2022 21 12 2022 31 12 2022 24 01 2023 design optimization time- and space-dependent reliability analysis uncertainty analysis Engineers always encounter uncertainty in material properties, part dimensions...

... 2023 conceptual design design optimization design process design theory Product design robot design Cordis 10.13039/501100006221 101017089 The design of complex mechatronic devices is a tricky issue as they must be both performant and adapted to their context of use...

... for manufacturing design optimization simulation-based design In this study, we present a framework that explores passive temperature control through manipulation of the underlying geometry. Although the main focus is on their potential in the context of plastics extrusion, the methods presented...

... Corresponding author. Email: pingfeng@illinois.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 13 06 2022 08 10 2022 14 10 2022 17 11 2022 data-driven design design optimization design theory...

...Randall J. Kania; Shapour Azarm Engineering design optimization problems often have two competing objectives as well as uncertainty. For these problems, quite often there is interest in obtaining feasibly robust optimum solutions. Feasibly robust here refers to solutions that are feasible under all...

... are discussed in more detail in the following sections. Fig. 10 A 2D demonstration of the tapering process, as used in the prototypes A 2D demonstration of the tapering process, as used in the prototypes compliant mechanisms design optimization design process simulation-based design...

...Wei (Wayne) Chen; Doksoo Lee; Oluwaseyi Balogun; Wei Chen Deep generative models have demonstrated effectiveness in learning compact and expressive design representations that significantly improve geometric design optimization. However, these models do not consider the uncertainty introduced...

... manufacturing design computer-aided design computer-aided engineering design automation design optimization generative design smart materials and structures structural optimization Additive manufacturing (AM) enables designers/engineers to embed lattice structures inside a part (unlike...

... 19 08 2022 06 10 2022 design optimization machine learning generative design Defense Sciences Office, DARPA 10.13039/100006502 HR00111920031 Topology optimization can generate novel designs by finding the optimal distribution of material in a design space...

... . 08 12 2021 10 08 2022 12 08 2022 20 09 2022 design optimization explicit model predictive control parametric optimization The single inverted pendulum on a cart system consists of four states, namely the positions and velocities of the cart and the pendulum (denoted...