Call For Papers: Special Issue on Integrated Design and Operation of Engineering Systems with Predictive Modeling
JMD Announces 2nd Webinar on Team Science in Engineering Design - May 10, 2021
JMD Welcomes Feng Gao, Alba Perez Gracia, and Ikjin Lee to the Editorial Board
ASME Announces 2020 Reviewer Awards
JMD Welcomes Qiaode Jeffrey Ge as Editor for Mechanisms
JMD Launches New Webinar Series with "Data-Driven Approaches for Engineering Design," on February 16, 2021
Call for Papers: Special Issue on Artificial Intelligence and Engineering Design
JMD Welcomes Conrad Tucker, Richard Malak, Julian Norato, Michel-Alexandre Cardin, Babak Heydari, and Sheng Li to the Editorial Board
JMD Announces a New Double Blind Review Option for JMD Authors
Featured Articles Editor: Scott Ferguson
Mitigating Design Fixation: A Visualization Tool for Enhancing Situation Awareness
Dongwook Hwang, Byunghyun Choi, Soonho Bae, Woojin Park
External stimuli can fuel a designer’s creativity and improve the outcome of design ideation. Yet, the psychological phenomenon of design fixation may also occur in the presence of external stimuli. A difficulty in preventing or alleviating design fixation is that the designer may not easily detect or predict its occurrence during the mentally demanding task of ideation. This paper introduces an information acquisition and display system called the Situation Awareness Support System (SASS) that delivers real-time information about the use of available external stimuli. Read more...
Microstructural Stress Shape Optimization Using the Level Set Method
Renato Picelli, Scott Townsend, H. Alicia Kim
The shape optimization of microstructural cells is investigated in this paper. Microstructure optimization yields the design of an architected material with a desired material property. Material usage and cost can be reduced by inserting holes into the microstructure. However, depending on the hole shape, the macroscale structure can fail because of the mechanical stress observed in the microstructural cell. Read more...
Efficient Spot Welding Sequence Optimization in a Geometry Assurance Digital Twin
Roham Sadeghi Tabar, Kristina Wärmefjord, Rikard Söderberg, Lars Lindkvist
The availability of big data has made the role of digital twins in manufacturing more prominent. This paper introduces a geometry assurance digital twin - created from the scanned data of individual components - to define and improve an assembly’s geometrical quality. The joining sequence in a sheet metal assembly impacts geometrical quality and determining the optimal joining sequence is computationally expensive. Meta-heuristic optimization techniques like genetic algorithms often require many simulations, which can increase computational cost. This work improves the optimization process by combining a model-based heuristic algorithm...read more
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ASME COVID-19 Response and Call for Papers
Although the journal is committing to reviewing and processing papers as expeditiously as possible, we understand that members of our community including editors, authors, and reviewers may be impacted severely by the pandemic. If you are experiencing any difficulties with journal related workflow we encourage you to communicate with the journal Editor or Associate Editor(s) so that accommodations and/or time extensions can be arranged.
To assist researchers and those working to bring this health crisis to an end, ASME has made all COVID-19 relevant journal and conference content available at no charge. We encourage JMD authors to contribute articles to COVID-19 related subjects. Such papers will still be submitted to JMD, going through an expedited review process, and published with a link to the ASME COVID-19 Resource virtual issue at https://asmedigitalcollection.asme.org/journals/pages/covid19resource