Functional clustering methods for resistance spot welding process data in the automotive industry-Reference-Cited by-同舟云学术

Functional clustering methods for resistance spot welding process data in the automotive industry

Published:2021-09 Issue:5 Volume:37 Page:908-925
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Capezza Christian¹^ORCID,Centofanti Fabio¹^ORCID,Lepore Antonio¹^ORCID,Palumbo Biagio¹^ORCID

Affiliation:

1. Department of Industrial Engineering University of Naples Federico II Naples Italy

Funder

Università degli Studi di Napoli Federico II

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2648

Reference50 articles.

1. Study and applications of dynamic resistance profiles during resistance spot welding of coated hot‐stamping steels;Ighodaro O;Metal Mater Trans A,2016

2. Study on effect of electrode force on resistance spot welding process

3. Assessment of resistance spot welding quality based on ultrasonic testing and tree-based techniques

4. Research for Ultrasonic Fast-Identification of the Stick-Weld Defect

5. Online qualitative nugget classification by using a linear vector quantization neural network for resistance spot welding

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