Special Journal Issue on Uncertainty Quantification and Management in Additive Manufacturing

The ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
is currently accepting manuscripts for a special issue focusing on the topic “Uncertainty Quantification and Management in Additive Manufacturing.” Authors who are interested in having their manuscripts included in the special issue, to be published in November 2021, should submit their manuscripts by February 1, 2021.
 
Additive Manufacturing (AM) represents a new paradigm of manufacturing where parts are manufactured using their 3D models (such as CAD models) by joining materials in a layer-by-layer manner. AM can have a significant impact on the economies all over the world, as it tends to be more sustainable (in terms of material wastage) compared to traditional manufacturing processes. 
 
Widespread implementation of AM requires robust techniques for performance evaluation, quality control, and certification. Manufacturing processes are impacted by heterogeneous uncertainty sources at various stages of a manufacturing process, such as raw materials, process equipment, process parameters, process simulation models, and sensors. Therefore, techniques of Uncertainty Quantification and Management (UQ&M) are essential for the quality control and certification of AM processes. With the development of advanced simulation techniques, artificial intelligence, and big data analytics, new UQ&M approaches are emerging to enable model-based quality control and certification, data-driven quality monitoring, and AI-based quality assurance in AM.
 
This special issue is dedicated to recent advances in the field of UQ&M with application in AM.
 
Manuscripts to be included in the special issue should concentrate on a range of topics (but not limited to) AM process design under uncertainty; model-based uncertainty quantification in AM; uncertainty quantification in AM with heterogeneous data sources; machine learning techniques (e.g., deep learning) for UQ&M in AM; validation and certification of AM process under uncertainty; reliability analysis in AM; health monitoring, diagnostics, prognostics, and control of AM processes under uncertainty; heterogeneous, multimodal, and multiscale data fusion under uncertainty for UQ&M in AM; and sensitivity analysis in AM under uncertainty.
 
Manuscripts should be submitted electronically to the journal by February 1, 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 the “ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering” and then select the special issue “Uncertainty Quantification and Management in Additive Manufacturing (SI046B).” Early submission before the deadline is strongly encouraged to promote early review and publication of this special issue. Papers accepted after the deadline will publish in the next available issue.
 
The special issue guest editors are Zhen Hu, University of Michigan-Dearborn, Dearborn, MI, USA, zhennhu@umich.edu;
Saideep Nannapaneni, Wichita State University, Wichita, KS, USA, saideep.nannapaneni@wichita.edu; and
Sankaran Mahadevan, Vanderbilt University, Nashville, TN, USA, sankaran.mahadevan@vanderbilt.edu.
 
For more information on the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, visit https://asmedigitalcollection.asme.org/risk. To learn more about the ASME Journal Program, visit www.asme.org/publications-submissions/journals/information-for-authors.