Special Journal Issue on Integrated Design and Operation of Engineering Systems with Predictive Modeling

The ASME Journal of Mechanical Design is currently accepting manuscripts for a special issue focusing on the topic “Integrated Design and Operation of Engineering Systems with Predictive Modeling.” Authors interested in having their manuscripts included in the special issue, to be published in August 2022, should submit their manuscripts by November 30, 2021.
 
Growing trends toward increased complexity and prolonged useful lives of engineering systems present challenges for system designers in accounting for the impacts of post-design activities (e.g., manufacturing, condition monitoring, remaining life prediction, maintenance, service logistics, end-of-life options, etc.) on system performance (e.g., costs, reliability, customer satisfaction, environmental impacts, etc.). It is very difficult to develop accredited lifecycle system performance models because these activities only occur after the system is built and operated. Thus, system design and post-design decision making have traditionally been addressed separately, leading to suboptimal performance over the system’s lifecycle.

With significant technological advances in computational modeling, simulation, sensing and condition monitoring, and machine learning and artificial intelligence, the capability of predictive modeling has grown exponentially over the past decade, leading to demonstrated benefits such as improved system availability and reduced operation and maintenance (O&M) costs. Predictive modeling can bridge system design and post-design stages and provide an optimal pathway for system designers to effectively account for future system operations at the design stage. While predictive modeling of post-design stage activities enables more holistic design decisions in an enlarged design space, there is an urgent need to acquire improved knowledge on various aspects of this emerging topic, such as predictive modeling in system design and operation, as well as novel design concepts incorporating predictive models into design decision making.

This special issue invites both research and review papers on topics related to predictive modeling for integrated design and operation of engineering systems.
 
Manuscripts to be included in the special issue should concentrate on a range of topics including, but not limited to, novel design concepts for integrated design decision making over design and post-design stages; predictive modeling methods (e.g., physics-based, data-driven, machine learning or physics-based machine learning, etc.) with demonstrated engineering system design applications; design methods incorporating predictive modeling of future activities at the post-design stages (e.g., manufacturing, operation, or end of life options etc.) and their impacts on system performance; digital twins for engineering system design and operation; methods for uncertainty quantification of operational stage activities for design; enabling technologies for integrated design and operation of engineering systems; survey, review, and assessment of challenges and opportunities at the interface of predictive modeling and engineering design; and education of predictive modeling for engineering design.
 
Manuscripts should be submitted electronically to the journal by November 30, 2021, via Journals Connect at journaltool.asme.org. Authors who have an account should log in and select “Submit Paper” at the bottom of the page. Authors without an account should select “Submissions” and follow the steps. At the Paper Submittal page, authors should select “ASME Journal of Mechanical Design” and then select the special issue “Integrated Design and Operation of Engineering Systems with Predictive Modeling.” Papers received after the submission deadline may still be considered for the special issue, if time and space permits.
 
The guest editors for the special issue are Pingfeng Wang, associate professor, University of Illinois at Urbana-Champaign, USA, pingfeng@illinois.edu; Sayan Ghosh, lead engineer, GE Research, USA, sayan.ghosh1@ge.com; Yongming Liu, professor, Arizona State University, USA, Yongming.Liu@asu.edu; Zissimos Mourelatos, professor, Oakland University, USA, mourelat@oakland.edu; Jitesh Panchal, associate professor, Purdue University, USA, panchal@purdue.edu; and Piyush Pandita, lead engineer, GE Research, USA, Piyush.pandita@ge.com.
 
For more information on the ASME Journal of Mechanical Design, visit https://asmedigitalcollection.asme.org/mechanicaldesign. To learn more about the ASME Journal Program, visit www.asme.org/publications-submissions/journals/information-for-authors.