... Automation Committee of ASME for publication in the J ournal of M echanical D esign . 27 05 2023 15 11 2023 16 11 2023 23 11 2023 Computational Geometry computer-aided design Data-driven design Machine learning Topology optimization Journal of Mechanical Design...

... Committee of ASME for publication in the Journal of Mechanical Design . 10 07 2023 24 08 2023 31 08 2023 21 11 2023 design optimization design representation design visualization machine learning Advanced Research Projects Agency 10.13039/100009224 DEAR0001216...

...Anthony Sirico, Jr.; Daniel R. Herber Many complex engineering systems can be represented in a topological form, such as graphs. This paper utilizes a machine learning technique called Geometric Deep Learning (GDL) to aid designers with challenging, graph-centric design problems. The strategy...

... network scalar vector graphics explainable AI feature recognition design automation machine learning signal processing data-driven design design visualization product design artificial intelligence Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 CMMI...

...: chris.hoyle@oregonstate.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 20 01 2023 23 10 2023 24 10 2023 13 11 2023 design optimization interactive design machine learning metamodeling...

... proposes a machine learning–based approach for estimating tire casing life and retreadability, focusing on usage data rather than wear information. This approach could extend the tire’s lifespan and reduce landfill waste. Data integration from diverse tire casing measurement sources presents challenges...

... materials deep generative model curvature functional design representation artificial intelligence generative design machine learning structural optimization Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 2142290 By designing the microstructures...

...-perspective knowledge extraction document understanding phrase-level dataset language model text classification sentence-design entity mapping artificial intelligence conceptual design design automation machine learning As the amount of textual material grows daily, there is a great need...

... or design team experiments. 31 08 2022 13 07 2023 14 07 2023 29 08 2023 design of experiments design optimization machine learning metamodeling Directorate for Engineering 10.13039/100000084 1826083 Beyond our main empirical result, our improvements...

... conditions [ 27 ]. In many cases, the full value of these sensor devices is realized when combined with machine learning that enables correlations between complex inputs and outputs in global development applications [ 28 – 31 ]. For example, the use of in situ sensor devices in conjunction with machine...

... Committee of ASME for publication in the J ournal of M echanical D esign . 14 02 2023 07 07 2023 10 07 2023 16 08 2023 computer-aided design data-driven design design for X design optimization generative design machine learning multidisciplinary design and optimization...

... 1 Corresponding author. 25 10 2022 14 05 2023 16 05 2023 25 07 2023 design automation design optimization machine learning Following Moore’s law [ 1 ], modern electronics designs are getting increasingly more complex. Printed circuit boards (PCB) design, as one...

... optimization multi-objective optimization Gaussian process acquisition function data-driven design design optimization machine learning metamodeling simulation-based design The distinct treatment of dominated designs adopted by AFs, such as the EEI function and the proposed approach, generates...

... approximation-based optimal design design optimization machine learning metamodeling multi-objective optimization Two fundamental challenges exist for a complex simulation-based optimization problem: (1) long simulation time and (2) expensive constraints. Finite element analysis (FEA) and other...

... that with the SMapNN, TO designs of millions of elements can be completed within a few minutes on a personal computer. topology optimization convolutional neural network machine learning artificial intelligence computer-aided design conceptual design design optimization simulation-based design...

... al. [ 19 ] stated is comparable to human engineering design. You et al. argued that deep RL methods are more robust than other machine learning-based generative methods for designing physical systems, as RL can ensure that all physical constraints of the design problem are satisfied [ 20 ]. GCP-HOLO...

... 06 02 2023 16 03 2023 data-driven design design optimization machine learning multidisciplinary design and optimization topology optimization Topology optimization provides a mathematical approach to allocating the optimal material distribution for a desired physics-based...

... Email: gpw1@psu.edu Contributed by Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 08 2022 05 01 2023 09 01 2023 10 02 2023 design process machine learning Pennsylvania State University 10.13039/100008321...

...., texts or sketches). To overcome these limitations, we propose an attention-enhanced multimodal learning (AEMML)-based machine learning (ML) model to predict five design metrics: drawing quality, uniqueness, elegance, usefulness, and creativity. The proposed model utilizes knowledge from large external...

... computer-aided design conceptual design creativity and concept generation data-driven design design automation generative design machine learning Bio-inspired design (BID) is a design methodology in the engineering design field that is based on the observation of biological natural phenomena...