... for manufacturing generative design U.S. Army Research Laboratory 10.13039/100006754 50114.5.9.1130260 Journal of Mechanical Design. Received September 19, 2022; Accepted manuscript posted May 22, 2023. doi:10.1115/1.4062663 Copyright © 2023 by ASME Concurrent build direction, part segmentation...

...Jana I. Saadi; Maria C. Yang Generative design tools empowered by recent advancements in artificial intelligence (AI) offer the opportunity for human designers and design tools to collaborate in new, more advanced modes throughout various stages of the product design process to facilitate...

... approach to bridge the gap. This paper proposes a generative design approach based on the generative pre-trained language model (PLM) to automatically retrieve and map biological analogy and generate BID in the form of natural language. The latest generative pre-trained transformer, namely generative pre...

...Chenxi Yuan; Tucker Marion; Mohsen Moghaddam Generative adversarial networks (GANs) have shown remarkable success in various generative design tasks, from topology optimization to material design, and shape parametrization. However, most generative design approaches based on GANs lack evaluation...

... a generative design problem into a sequential decision process with complex actions. The state space combines global capacity, location vector, and a progress fraction to provide holistic information for the agent to make decisions. The global capacity is represented as a three-dimensional vector g × g × 6...

... to the increasing scale of modern systems and the complicated underlying physical constraints. To tackle these challenges and design a resilient system efficiently, this study presents a generative design method that utilizes graph learning algorithms. The generative design framework contains a performance...

... 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...

...Xingang Li; Charles Xie; Zhenghui Sha In this paper, we present a predictive and generative design approach for supporting the conceptual design of product shapes in 3D meshes. We develop a target-embedding variational autoencoder (TEVAE) neural network architecture, which consists of two modules...

... the assumptions made in the PAC formulation. To validate the search space modeled in the co-design CDS method, a state-of-the-art soft robot is replicated and compared. computer-aided design conceptual design soft robotics design automation generative design shape grammars There is an increasing...

... Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 20 10 2021 29 01 2022 12 02 2022 18 03 2022 artificial intelligence data-driven design design automation design representation generative design machine...

... performance evaluation functions, design generation, design exploration, and image post-processing methods are proposed with the help of domain knowledge of the tread pattern. The numerical results show that the proposed automatic design framework successfully creates various tread patterns satisfying...

... 2021 artificial intelligence data-driven design design optimization generative design machine learning uncertainty modeling Advanced Research Projects Agency 10.13039/100009224 DE-AR0001216 Design synthesis with shape optimization is often time-consuming. After setting...

... 2021 inverse design invertible neural network machine learning probabilistic modeling Gaussian process gas turbine aerodynamic design data-driven design design automation design methodology generative design Advanced Research Projects Agency 10.13039/100009224 DE-AR0001204...

... 19 12 2020 03 02 2021 artificial intelligence design optimization generative design machine learning Topology optimization of solid structures involves generating optimized shapes by minimizing an objective function such as compliance or mass within a material domain, subject...

...Wei Chen; Faez Ahmed Deep generative models are proven to be a useful tool for automatic design synthesis and design space exploration. When applied in engineering design, existing generative models face three challenges: (1) generated designs lack diversity and do not cover all areas of the design...

..., the char-RNN also generated designs differing from the training set at a rate of over 99%, showing generalized learning. A formal language using a context-free grammar G defines a space of possible assembly configurations using a Backus-Naur form (BNF) notation [ 16 ]. The generative grammar G...

... optimization generative design mechanism synthesis robot design robotic systems Passive dynamic mechanisms, i.e., mechanisms without actuation, can perform well-defined tasks in a disturbance-free environment. Examples exist in the domains of passive walking [ 1 – 3 ] and brachiating, which...

...-aided design conceptual design design automation generative design metamodeling 01 03 2019 12 08 2019 13 08 2019 09 09 2019 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . Email: ctucker4@psu.edu...

...Shahroz Khan; Erkan Gunpinar; Masaki Moriguchi; Hiromasa Suzuki In this paper, a generative design approach is proposed that involves the users’ psychological aspect in the design space exploration stage to create distinct design alternatives. Users’ perceptual judgment about designs is extracted...