Multi-objective optimization of peel and shear strengths in ultrasonic metal welding using machine learning-based response surface methodology-Reference-Cited by-同舟云学术

Multi-objective optimization of peel and shear strengths in ultrasonic metal welding using machine learning-based response surface methodology

Published:2020 Issue:6 Volume:17 Page:7411-7427
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Meng Yuquan, ,Rajagopal Manjunath,Kuntumalla Gowtham,Toro Ricardo,Zhao Hanyang,Chan Chang Ho,Sundar Sreenath,Salapaka Srinivasa,Miljkovic Nenad,Ferreira Placid,Sinha Sanjiv,Shao Chenhui

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Link

http://www.aimspress.com/article/10.3934/mbe.2020379/pdf

Reference7 articles.

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2. S. Kumar, C. Wu, G. Padhy, W. Ding, Application of ultrasonic vibrations in welding and metal

3. t al., Ultrasonic welding of soft polymer and metal: a preliminary study, in International Manufacturing Science and Engineering Conference

4. W. Guo, C. Shao, T. H. Kim, S. J. Hu, J. Jin, J. P. Spicer, et al., Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion

5. R. H. Myers, D. C. Montgomery, C. M. Anderson-Cook, Response surface

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