Principal component analysis and singular value decomposition used for a numerical sensitivity analysis of a complex drawn part-Reference-Cited by-同舟云学术

Principal component analysis and singular value decomposition used for a numerical sensitivity analysis of a complex drawn part

Published:2017-09-06 Issue:5-8 Volume:94 Page:2255-2265
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Schwarz Christian,Ackert Patrick,Mauermann Reinhard

Funder

Fraunhofer-Gesellschaft

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-017-0980-z/fulltext.html

Reference40 articles.

1. Hu M, Lin Z, Lai X et al (2001) Simulation and analysis of assembly processes considering compliant, non-ideal parts and tooling variations. Int J Mach Tools Manuf 41(15):2233–2243. https://doi.org/10.1016/S0890-6955(01)00044-X

2. Long Y, Hu SJ (1998) A unified model for variation simulation of sheet metal assemblies. In: ElMaraghy HA (ed) Geometric Design Tolerancing: Theories, Standards and Applications. Springer US, Boston, pp 208–219

3. Schulte S (1999) Umformsimulation als fester Bestandteil des Produktentstehungsprozesses bei Audi. In: Doege E (ed) 16. Umformtechnischen Kolloquium, Hannover 25. und 26. HFF, Hannover, pp 263–277

4. Li E (2013) Reduction of springback by intelligent sampling-based LSSVR metamodel-based optimization. Int J Mater Form 6(1):103–114. https://doi.org/10.1007/s12289-011-1076-1

5. Roll K, Lemke T, Wiegand K (2004) Simulationsgestützte Kompensation der Rückfederung. Procedia of 3. LS-DYNA Anwenderforum: A-I-1 - A-I-13

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming;Robotics and Computer-Integrated Manufacturing;2025-02

2. Combining simulation methods and machine learning for efficient forming process development;Advanced Structural Textile Composites Forming;2025

3. Compensation of billet variabilities through metamodel-based optimization in open die forging;The International Journal of Advanced Manufacturing Technology;2024-03-22

4. A Medical Image Fusion Method Based on Detail Enhancement Decomposition;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

5. Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models;IEEE Access;2023