1-2 of 2
Keywords: process-induced deformations
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

An Optimization Strategy Based on Machine Learning and Layer-Wise Models to Minimize Process-Induced Deformations in CFRP Parts

Navid Zobeiry, Enrico Zappino, Caleb Schoenholz, Rebecca Masia, Marco Petrolo
Proc. ASME. SSDM2023, ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference, V001T03A010, June 19–21, 2023
Publisher: American Society of Mechanical Engineers
Paper No: SSDM2023-106945
https://doi.org/10.1115/SSDM2023-106945
... virtual manufacturing process-induced deformations residual stresses DSC DMA CHILE Proceedings of the ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference SSDM2023 June 19-21, 2023, San Diego, California SSDM2023-106945 AN OPTIMIZATION STRATEGY BASED ON MACHINE...
View Paper titled, An Optimization Strategy Based on Machine Learning and Layer-Wise Models to Minimize <span class="search-highlight">Process</span>-<span class="search-highlight">Induced</span> <span class="search-highlight">Deformations</span> in CFRP Parts
Open the PDF for An Optimization Strategy Based on Machine Learning and Layer-Wise Models to Minimize <span class="search-highlight">Process</span>-<span class="search-highlight">Induced</span> <span class="search-highlight">Deformations</span> in CFRP Parts in another window
Topics: Carbon reinforced plastics, Deformation, Machine learning, Optimization, Residual stresses, Virtual assembly
Proceedings Papers

A Theory-Guided Probabilistic Machine Learning Method to Minimize Process-Induced Deformations in Composite Structures

Caleb Schoenholz, Navid Zobeiry
Proc. ASME. SSDM2023, ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference, V001T03A009, June 19–21, 2023
Publisher: American Society of Mechanical Engineers
Paper No: SSDM2023-106753
https://doi.org/10.1115/SSDM2023-106753
... parts made from T800S/3900-2B. The method proposed in this paper is meant to provide a generalizable optimization procedure to potentially mitigate PIDs in composite structures. composites residual stresses process-induced deformations theory-guided machine learning Proceedings of the ASME...
View Paper titled, A Theory-Guided Probabilistic Machine Learning Method to Minimize <span class="search-highlight">Process</span>-<span class="search-highlight">Induced</span> <span class="search-highlight">Deformations</span> in Composite Structures
Open the PDF for A Theory-Guided Probabilistic Machine Learning Method to Minimize <span class="search-highlight">Process</span>-<span class="search-highlight">Induced</span> <span class="search-highlight">Deformations</span> in Composite Structures in another window
Topics: Composite materials, Deformation, Machine learning, Residual stresses