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    Deep Learning Methods of Cross-Modal Tasks for Conceptual Design of Product Shapes: A Review 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 004:;page 41401-1
    Author(s): Li, Xingang; Wang, Ye; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conceptual design is the foundational stage of a design process that translates ill-defined design problems into low-fidelity design concepts and prototypes through design search, creation, and integration. In this stage, ...
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    Integrating Sequence Learning and Game Theory to Predict Design Decisions Under Competition 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 005:;page 051401-1
    Author(s): Bayrak, Alparslan Emrah; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design can be viewed as a sequential and iterative search process. Fundamental understanding and computational modeling of human sequential design decisions are essential for developing new methods in design automation and ...
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    Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 008:;page 081706-1
    Author(s): Rahman, Molla Hafizur; Xie, Charles; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In engineering systems design, designers iteratively go back and forth between different design stages to explore the design space and search for the best design solution that satisfies all design constraints. For complex ...
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    LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 025 ):;issue: 002:;page 21005-1
    Author(s): Li, Xingang; Sun, Yuewan; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The evolution of multimodal large language models (LLMs) capable of processing diverse input modalities (e.g., text and images) holds new prospects for their application in engineering design, such as the generation of 3D ...
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    Estimating Local Decision Making Behavior in Complex Evolutionary Systems 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 006:;page 61003
    Author(s): Sha, Zhenghui; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Research in systems engineering and design is increasingly focused on complex sociotechnical systems whose structures are not directly controlled by the designers, but evolve endogenously as a result of decisions and ...
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    A Generative Network Model for Product Evolution 

    Source: Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001:;page 11003
    Author(s): Le, Qize; Sha, Zhenghui; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modeling the structure and evolution of products is important from the standpoint of improving quality and maintainability. With the increasing popularity of opensource processes for developing both software and physical ...
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    A Predictive and Generative Design Approach for Three-Dimensional Mesh Shapes Using Target-Embedding Variational Autoencoder 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 114501
    Author(s): Li, Xingang;Xie, Charles;Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 ...
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    A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 006:;page 061011-1
    Author(s): Poudel, Laxmi; Zhou, Wenchao; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cooperative 3D printing (C3DP) is a novel approach to additive manufacturing, where multiple printhead-carrying mobile robots work cooperatively to print the desired part. The core of C3DP is the chunk-based printing ...
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    Resource-Constrained Scheduling for Multi-Robot Cooperative Three-Dimensional Printing 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 007:;page 072002-1
    Author(s): Poudel, Laxmi; Zhou, Wenchao; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cooperative three-dimensional (3D) printing (C3DP)—a representative realization of cooperative manufacturing (CM)—is a novel approach that utilizes multiple mobile 3D printing robots for additive manufacturing (AM). It ...
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    Latent Crossover for Data-Driven Multifidelity Topology Design 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 005:;page 51713-1
    Author(s): Kii, Taisei; Yaji, Kentaro; Fujita, Kikuo; Sha, Zhenghui; Conner Seepersad, Carolyn
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Topology optimization is one of the most flexible structural optimization methodologies. However, in exchange for its high level of design freedom, typical topology optimization cannot avoid multimodality, where multiple ...
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