Data-Driven Modeling for Additive Manufacturing of Metals Proceedings of a Workshop (2019) / Chapter Skim
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6 Summary of Challenges from Subgroup Discussions and Participant Comments
6 Summary of Challenges from Subgroup Discussions and Participant Comments
Pages 47-56
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From page 47... ...
Workshop participants were also asked to provide individual responses to similar questions about top priority research needs for advancing AM, top "nontechnical" challenges to commercialization of AM, and actions 47
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From page 48... ...
, and Celia Merzbacher (SRI International) Breakout Discussion This breakout group discussion was led by Heigel, and conversations focused on sensor technology, algorithm development and use, knowledge transfer, challenges, and priorities moving forward.
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Subgroup members discussed the challenge of machine interoperability and how to encourage machine manufacturers to be more transparent with their systems and processes. Currently, the high cost of developing these systems and the associated intellectual property deters manu facturers from making their systems more transparent.
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, John Turner (Oak Ridge National Laboratory) , Ade Makinde (General Electric Global Research Center)
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From page 51... ...
• Long-term research areas: Integration of site-specific microstructure control into design optimization. Several subgroup members also discussed the following nontechnical challenges across AM: • The lack of stable, long-term research funding; • A lack of willingness to fund testing and measurement; • The use of proprietary alloys; • The lack of a community standard file and standardized formats for experimental and simulation data;
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From page 52... ...
Some members of this breakout group suggested that a followon workshop could address topics such as challenges and opportunities in topology and shape optimization with site-specific microstructure control as well as multidisciplinary educational programs for AM processes. MODELING ASPECTS OF PROCESS AND MACHINE DESIGN Subgroup Members Mustafa Megahed (ESI Group)
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Several subgroup members speculated that the reticence to share data might be a cultural problem since most researchers are not used to sharing their data. They high lighted nuclear physics databases as a possible example to emu late, particularly the use of a centralized body to help transform raw data into evaluated data.
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From page 54... ...
For a possible follow-on workshop, some of the subgroup members proposed themes including the definition of joint standards and tolerances, digital twin and threads for AM, interdisciplinary education, and the various intermediate-term challenges and goals that were discussed throughout the workshop. ACCELERATING PRODUCT AND PROCESS QUALIFICATION AND CERTIFICATION Subgroup Members David Teter (Los Alamos National Laboratory)
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From page 55... ...
-- Collecting defect catalogues for critical flaw size and type, frequency, distributions, and criticality of locations. Telgkamp noted that this is particularly important for highlighting research and development needs.
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From page 56... ...
For nontechnical challenges, she explained that the responses centered on encouraging data sharing, increasing funding, improving training and education, enabling machine transparency, and increasing trust in AM parts. Many participants suggested that these challenges could be approached by increasing coordination and communication among stakeholders, perhaps through more convening activities, collaborations, standards, and funding.
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