Abstract: Material selection plays a pivotal role in many industries, from manufacturing to construction. Material selection is usually carried out after several cycles of conceptual design, during which designers iteratively refine ...

Abstract: Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this article, we explored the efficacy of large language models (LLMs) in producing diverse design ...

Abstract: Function is defined as the ensemble of tasks that enable the product to complete the designed purpose. Functional tools, such as functional modeling, offer decision guidance in the early phase of product design, where ...

Abstract: This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requirements in technical documentation. Developed ...

Abstract: Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use ...

Abstract: Knowledge collection, extraction, and organization are critical activities in all aspects of the engineering design process. However, it remains challenging to surface and organize design knowledge, which often contains ...

Abstract: To support intelligent computer-aided design (CAD), we introduce a machine learning architecture, namely HG-CAD, that recommends assembly body material through joint learning of body- and assembly-level features using a ...

Abstract: Requirement elicitation, a critical, yet time-consuming and challenging step in product development, often fails to capture the full spectrum of user needs. This may lead to products that fall short of user expectations. ...