Foundational Research Gaps and Future Directions for Digital Twins (2024) / Chapter Skim
Currently Skimming:
Appendix E: Opportunities and Challenges for Digital Twins in Engineering: Proceedings of a Workshop - in Brief
Appendix E: Opportunities and Challenges for Digital Twins in Engineering: Proceedings of a Workshop - in Brief
Pages 163-176
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 163... ...
E Opportunities and Challenges for Digital Twins in Engineering: Proceedings of a Workshop -- in Brief Opportunities and Challenges for Digital Twins in Engineering: Proceedings of a Workshop -- in Brief (National Academies of Sciences, Engineering, and Medicine, The National Academies Press, Washington, DC, 2023) is reprinted here in its entirety.
|
From page 164... ...
He Medicine hosted a public, virtual workshop to discuss emphasized that a digital twin is shaped by questions; characterizations of digital twins within the context as those questions evolve, the digital twin evolves to of engineering and to identify methods for their incorporate more detailed physical phenomena, geometry, development and use. Panelists highlighted key technical and data and to account for more sources of uncertainty.
|
From page 165... ...
He Baron noted that the automotive industry has been described several research gaps and areas for investment, adapting digital twin technologies since the 1990s including the following: quantifying the level of model and emphasized that increased adoption of realfidelity sufficient to answer questions asked of the digital time digital twins could accelerate Industry 4.03 and twin, quantifying the physical system's initial or current improve customer-oriented manufacturing, design, and conditions and incorporating that information into the engineering. She defined a digital twin as a dynamic digital twin, obtaining data for model validation and virtual copy of a physical asset, process, system, or uncertainty quantification, developing new approaches environment that behaves identically to its real-world to human–computer interfaces, and enhancing education counterpart.
|
From page 166... ...
important sources of manufacturing, operational, If the goal is to use digital twins for difficult problems and environmental variation is key to understanding and difficult decisions, he continued, understanding how a particular component is behaving in the field. model form error and developing strategies to quantify Sophisticated representations that capture these sources that error quickly are critical.
|
From page 167... ...
Baron explained that an effective digital twin illuminates where systems relate to one another. Providing Deshmukh emphasized that the digital twin "invention to contextual relationships between these vertical functions4 production journey is a team sport." Challenges include (Figure 1)
|
From page 168... ...
Although digital twins should be "learning models" that capture a physical validation will likely always be required, he information about the degradation of old products to asserted that better information emerges via virtual testing better inform and maintain new products. (assuming the physics are correct)
|
From page 169... ...
Grieves pointed out that decision-makers identifiability, causality, and physics-constrained are not digital natives, and digital twins "look like modeling is also critical -- quantifying and effectively magic" to them. He advised educating, training, and managing model form errors and uncertainties remains building trust among decision-makers, ensuring that problematic.
|
From page 170... ...
Many frameworks are available, but a baseline level of protection prepares users with a plan PLENARY SESSION 2: DIGITAL TWINS FOR NATIONAL SECURITY to recover data and modeling tools if an attack occurs. AND RENEWABLE ENERGY He suggested that users consider protection both in Grace Bochenek, University of Central Florida, described terms of the cloud and the physical asset that moves digital twins as "innovation enablers" that are redefining around globally.
|
From page 171... ...
Bochenek described opportunities to technology providers to advance data management, use of use digital twins to support planning, prediction, and the cloud, and modeling capabilities for digital twins, which protection for smart cities. Other opportunities exist in could improve internal productivity and efficiency and homeland security and transportation, but each requires enhance products for customers.
|
From page 172... ...
Francom explained that science-based stockpile She posed a question about the difference between a stewardship emerged after the Comprehensive Nuclear- digital twin and a simulation. Celaya replied that a digital Test-Ban Treaty of 1996.5 DOE invested in simulation twin is a living model that reflects the reality of the and experimental capabilities to achieve this new level physical asset through time.
|
From page 173... ...
Quantifying model form error Francom noted that a spectrum of digital twins would is also a key challenge, especially when one cannot rely be useful to explore different assumptions about and solely on empirical information, which is sometimes explanations for certain phenomena. Kobryn added that incorrect.
|
From page 174... ...
validate and design models for deployment. Francom She cautioned that as a digital twin continues to be recognized that researchers can learn much from data updated in real time, more computational challenges will to improve modeling capabilities; a tighter integration arise, but implementation of zero trust networks could be of data and models could help pursue new scientific beneficial.
|
From page 175... ...
, which is reflected complexity and scale of digital twin applications, Kobryn as uncertainty. He also highlighted opportunities for proposed using the high-fidelity capability from highpeople with different expertise to collaborate to address performance computing to synthesize data to train the challenges inherent in these nonlinear systems.
|
From page 176... ...
COMMITTEE ON FOUNDATIONAL RESEARCH GAPS AND FUTURE DIRECTIONS FOR DIGITAL TWINS Karen Willcox (Chair) , Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin; Derek Bingham, Simon Fraser University; Caroline Chung, MD Anderson Cancer Center; Julianne Chung, Emory University; Carolina Cruz-Neira, University of Central Florida; Conrad J
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.