Energy-Consistent Neural Networks with Fenchel-Young Loss for Physics-Guided Energy Prediction in Sheet Metal Forming Under Small-Data Conditions. [PDF]
Materials (Basel)Jhang SS, Kwon JY, Lee WH, Park HG.
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ANFIS-based forming limit prediction of stainless steel 316 sheet metals. [PDF]
Sci Rep, 2023 Zhang M, Meng Z, Shariati M.
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Process Design of Vinyl-Coated Metal Sheet Stamping for Prevention of Delamination and Wrinkling by DNN-Based Multi-Objective Optimization. [PDF]
Materials (Basel)Kim MG, Ryu JC, Lee CJ, Jang JS, Ko DC.
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A review of manufacturing processes, mechanical properties and precipitations for aluminum lithium alloys used in aeronautic applications. [PDF]
Heliyon, 2023 Hajjioui EA +3 more
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Formability Assessment of C1100 Pure-Copper Tube Considering an Enhanced Modified Maximum Force Criterion. [PDF]
Materials (Basel)Pham NA +6 more
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Effect of Strain Rate on the Formability Prediction of Cold-Rolled DX56D+Z100-M-C-O Steel Sheets. [PDF]
Materials (Basel)Novák V +4 more
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Polymer additive manufacturing tools for sheet metal forming: a combined simulation and experimental study. [PDF]
Sci RepBhatia CV +7 more
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LUMINIDEPENDENS orchestrates global transcriptional repression in <i>Arabidopsis</i>. [PDF]
Proc Natl Acad Sci U S ABergis-Ser C +16 more
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Study on the Damage Mechanisms in the Forming Process of High-Strength Steel Laser Tailor Welded Blanks Based on the Johnson-Cook Damage Model. [PDF]
Materials (Basel)Sun X, Li H, Gao S, Li Q.
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Assessing Formability and Failure of UHMWPE Sheets through SPIF: A Case Study in Medical Applications. [PDF]
Polymers (Basel), 2023 Rosa-Sainz A +4 more
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