Toward Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses
This paper proposes Graph-based Surrogate Models (GSMs) for trusses, which can accurately predict a trusses’ structural performance given only its geometry and loads as inputs. Since the GSM does not rely on design variables to make predictions, the model can be trained and used on designs from multiple sources.
View JMD’s 4th Webinar on “Robot Design”
JMD’s 4rd Webinar on “Robot Design,” held on December 9, 2021, featured talks by Guanglu Jia, Yu She, and Andrew P. Sabelhaus. To view the recording please visit JMD’s Webinar page.
Congratulations to Jian Dai for his election to the Royal Academy of Engineering
Congratulations to Jian Dai, Professor and Chair of Mechanisms and Robotics, King’s College London, for his recent election to the Royal Academy of Engineering as a fellow (FREng). This year (2021), sixty new fellows received this prestigious honor: https://www.raeng.org.uk/about-us/the-fellowship/new-fellows-2021. Professor Jian Dai has made a pioneering contribution to mechanical engineering, most notably by his contributions […]
JMD Welcomes New Associate Editors
JMD Welcomes new Associate Editors Bin Zi, Girish Krishnan, Sara Behdad, Katherine K. Fu, and Mark Fuge.
View JMD’s 3rd Webinar on Design for Additive Manufacturing
JMD’s Webinar on “Design for Additive Manufacturing” was held via Zoom on September 16, 2021, 12:00-2:00PM (EDT). A recording of the presentations is now available on JMD’s Webinar page.
Investigation of Parameter Spaces for Topology Optimization With Three-Dimensional Orientation Fields for Multi-Axis Additive Manufacturing
Authors: Joseph Kubalak, Alfred Wicks, and Chris Williams J. Mech. Des. May 2021, 143(5): 051701 (15 pages)https://doi.org/10.1115/1.4048117 Multi-axis (MA) material extrusion (ME) additive manufacturing offers the opportunity to place each deposition path along load paths in 3D space. Such a capability has the potential to address anisotropy concerns presented by conventional (i.e., XY-planar) ME processes, […]
2021 IDETC-CIE Journal Spotlights
Join us during JMD’s 2021 IDETC-CIE Journal Spotlights session on Tuesday, August 17, 2021, 1:00-3:00PM (EDT). Six JMD papers will be presented, including some of the winners of the 2020 Editors’ Choice Paper award and 2020 papers recommended by the Editorial Board.
JMD’s 2020 Editors’ Choice Paper Awards
We are pleased to announce that the two (2) winners for the Journal of Mechanical Design 2020 Editors’ Choice Paper Award are: Category of Design Methods: Bradley Camburn, Yuejun He, Sujithra Raviselvam, Jianxi Luo, and Kristin Wood (January 25, 2020). “Machine Learning-Based Design Concept Evaluation.” ASME. J. Mech. Des. March 2020; 142(3): 031113. https://doi.org/10.1115/1.4045126, and Category […]
Welcoming New Editor for Mechanisms: Qiaode Jeffrey Ge
Dr. Qiaode Jeffrey Ge, Professor and Chair of Mechanical Engineering at Stony Brook University, has been appointed by the ASME Design Engineering Division (DED) and the ASME Technical Committee on Publications and Communications (TCPC) to serve as a new Editor in the area of mechanisms for Journal of Mechanical Design (JMD), effective from January 2021, for 5 years.
MITIGATING DESIGN FIXATION: A VISUALIZATION TOOL FOR ENHANCING SITUATION AWARENESS
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.
