Special Issue: Selected Papers from IDETC 2023
This special issue features selected papers from the 2023 International Design Engineering Technical Conferences.
This special issue features selected papers from the 2023 International Design Engineering Technical Conferences.
A recording is now available for the Journal of Mechanical Design (JMD) and the Journal of Manufacturing Science and Engineering (JMSE) webinar based on their February 2024 Joint Special Issues: Advances in Design and Manufacturing for Sustainability.
The Editor and Editorial Board of the Journal of Mechanical Design would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work.
This special issue provides a platform for papers that investigate data-driven methods for design, provide insightful discussions about the data used, and publicly release their dataset. It also encourages submissions to address critical challenges in engineering dataset creation, such as multi-modality, handling missing information, managing diverse data types, navigating dependencies among attributes, ensuring data quality, and integrating complex data structures and real-time data.
This collection of articles explores emerging topics in traditional areas of design theory and methods research. The articles fall into three primary categories: (1) enhanced communication via design artifacts, (2) technology-enabled design artifacts, and (3) collaborative design platforms that enable collective creation.
This special issue is a joint effort between the ASME Manufacturing Engineering Division (MED) and the Design Engineering Division (DED) as part of a collaboration to advance design and manufacturing research in sustainability.
A recording is now available for JMD’s 10th Thematic Session on the topic of Topology Optimization, featuring talks by Satya R.T. Peddada, Levent Burak Kara, Faez Ahmed, and Qian Ye.
The Journal of Mechanical Design is pleased to announce the two (2) winners for the Journal of Mechanical Design 2022 Editors’ Choice Paper Award and one (1) Honorable Mention.
This featured article introduces a self-learning design agent, an innovative approach that doesn’t rely on human data or problem-specific knowledge. Instead, it uses deep learning and tree search to find high-performing and generalizable engineering design strategies.
This featured article shows how interpersonal differences, such as culture or gender difference, between a user and a designer significantly affect designers’ empathic understanding in semiautonomous vehicle development.
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