Intelligent analysis of hot stamping production process based on image recognition

Liang Wang; Keyang Shu; Yisheng Zhang; Bin Zhu; Yilin Wang

doi:10.2991/978-94-6463-581-2_63

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Intelligent analysis of hot stamping production process based on image recognition

Authors

Liang Wang¹^{, *}, Keyang Shu¹, Yisheng Zhang¹, Bin Zhu¹, Yilin Wang¹

¹State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

^*Corresponding author. Email: wangliang@hust.edu.cn

Corresponding Author

Liang Wang

Available Online 7 December 2024.

DOI: 10.2991/978-94-6463-581-2_63 How to use a DOI?
Keywords: Intelligent analysis; Image recognition; Hot stamping
Abstract: Hot stamping is an energy-efficient and low-cost way to produce automotive parts. The hot stamping production line has a high degree of automation and a good digitalization foundation. Due to the lack of a complete information system in most workshops, the digitalized production process data often lacks detailed information on recipes, molds, and parts. In this paper, the infrared temperature field of hot blanks on moulds is obtained using an infrared imaging detection system, and an abnormal blank position detection method based on locating pin finding is proposed, which is experimentally investigated in order to achieve the stability and accuracy. Based on the target detection model to predict the pin position, the correct rate of abnormal position detection of the Faster R-CNN model is analyzed under the conditions of coarse and fine judgments.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 7th International Conference on Advanced High Strength Steel and Press Hardening (ICHSU 2024)
Series: Atlantis Highlights in Material Sciences and Technology
Publication Date: 7 December 2024
ISBN: 978-94-6463-581-2
ISSN: 2590-3217
DOI: 10.2991/978-94-6463-581-2_63 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Liang Wang
AU  - Keyang Shu
AU  - Yisheng Zhang
AU  - Bin Zhu
AU  - Yilin Wang
PY  - 2024
DA  - 2024/12/07
TI  - Intelligent analysis of hot stamping production process based on image recognition
BT  - Proceedings of the 7th International Conference on Advanced High Strength Steel and Press Hardening (ICHSU 2024)
PB  - Atlantis Press
SP  - 531
EP  - 537
SN  - 2590-3217
UR  - https://doi.org/10.2991/978-94-6463-581-2_63
DO  - 10.2991/978-94-6463-581-2_63
ID  - Wang2024
ER  -

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