Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
Design in Engineering Education Division (DEED) Technical Session 14
Design in Engineering Education Division (DEED)
13
10.18260/1-2--43035
https://peer.asee.org/43035
241
Cheng holds a Ph.D. in mechanical engineering from the University of Georgia and has published numerous papers on topics such as computational design, geometric modeling, and engineering education. He is always seeking innovative approaches to fill knowledge gaps and to assist in solving complex design issues. He is currently working on several projects to develop various natural language models for requirement management. Cheng is passionate about applying his domain expertise to improve STEM education, with an emphasis on how AI can be incorporated into design practices.
Siqing Wei received B.S. and M.S. in Electrical Engineering from Purdue University. He is a Ph.D. Candidate in the Engineering Education program as a triple boiler. His research interests span on three major research topics, which are teamwork, cultural diversity, and international student experiences. As a research assistant, he investigates how the cultural diversity of team members impacts the team dynamics and outcomes, particularly for international students. He aims to help students improve intercultural competency and teamwork competency by interventions, counseling, pedagogy, and tool selection to promote DEI. In addition, he also works on many research-to-practice projects to enhance educational technology usage in engineering classrooms and educational research. Siqing also works as the technical development and support manager at the CATME research group.
Beshoy Morkos is an associate professor in the Department of Mechanical and Civil Engineering at Florida Institute of Technology where he directs the STRIDE Lab (SysTems Research on Intelligent Design and Engineering). His lab currently performs research
Engineering design courses often require students to gather requirements and create computer-aided design (CAD) artifacts to present their solutions. However, current instructional emphasis often overlooks the importance of connecting requirements and CAD drawings, a critical relationship managed by experts using industry-specific software. To address this gap, this paper proposes a framework based on the concept of model-based enterprise (MBE), which enables designers and engineers to perform up-and-downstream analyses. The framework provides a data-driven approach that helps students understand the connection between written requirements and corresponding visual representations in CAD drawings. For complex projects, practitioners can use a joint embedding layer of information to track information flows across multiple domains, which students may lack experience or training to deal with. The proposed framework utilizes joint embedding to build correlations between requirements and mechanical component drawings, allowing related requirements and images to coexist in the same design space and be linked together. We conclude that this study can serve as a theoretical example to bridge the practical knowledge gap in the current design curriculum and better prepare students for future challenges.
Chen, C., & Wei, S., & Morkos, B. (2023, June), Bridging the Knowledge Gap Between Design Requirements and CAD - A Joint Embedding Approach Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43035
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