ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS

Yavuz Selim Balcıoğlu; Semih Göksu; Bülent Sezen

doi:10.18038/estubtda.1590581

EN

ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS

Abstract

In this study, the impact of production parameters on product quality in cold rolling processes was examined, and the qualitative status of products was predicted using machine learning algorithms. While existing literature focuses on production efficiency, this study stands out by systematically comparing eight different machine learning algorithms: Decision Tree, KNN, Naive Bayes, Logistic Regression, Random Forest, XGBoost, Support Vector Machines, and TabTransformer. The results reveal that TabTransformer, a transformer-based model designed for tabular data, outperforms the other algorithms in terms of accuracy and generalization capability, making significant contributions to the automation of quality control in production processes. Additionally, feature importance analysis provides critical insights into parameter optimization, making this study a valuable addition to the literature on industrial quality prediction.

Keywords

Quality prediction, Cold rolling, Tabtransformer, Machine learning

References

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Details

Primary Language

English

Subjects

Manufacturing Processes and Technologies (Excl. Textiles)

Journal Section

Research Article

Authors

Yavuz Selim Balcıoğlu ^*
0000-0001-7138-2972
Türkiye

Semih Göksu
0009-0007-8158-6654
Türkiye

Bülent Sezen
0000-0001-7485-3194
Türkiye

Publication Date

June 25, 2025

Submission Date

November 24, 2024

Acceptance Date

April 11, 2025

Published in Issue

Year 2025 Volume: 26 Number: 2

DOI

https://doi.org/10.18038/estubtda.1590581

IZ

https://izlik.org/JA85EM98ZW

APA

Balcıoğlu, Y. S., Göksu, S., & Sezen, B. (2025). ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 26(2), 112-131. https://doi.org/10.18038/estubtda.1590581

AMA

1.Balcıoğlu YS, Göksu S, Sezen B. ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS. Estuscience - Se. 2025;26(2):112-131. doi:10.18038/estubtda.1590581

Chicago

Balcıoğlu, Yavuz Selim, Semih Göksu, and Bülent Sezen. 2025. “ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26 (2): 112-31. https://doi.org/10.18038/estubtda.1590581.

EndNote

Balcıoğlu YS, Göksu S, Sezen B (June 1, 2025) ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26 2 112–131.

IEEE

[1]Y. S. Balcıoğlu, S. Göksu, and B. Sezen, “ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS”, Estuscience - Se, vol. 26, no. 2, pp. 112–131, June 2025, doi: 10.18038/estubtda.1590581.

ISNAD

Balcıoğlu, Yavuz Selim - Göksu, Semih - Sezen, Bülent. “ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26/2 (June 1, 2025): 112-131. https://doi.org/10.18038/estubtda.1590581.

JAMA

1.Balcıoğlu YS, Göksu S, Sezen B. ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS. Estuscience - Se. 2025;26:112–131.

MLA

Balcıoğlu, Yavuz Selim, et al. “ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 26, no. 2, June 2025, pp. 112-31, doi:10.18038/estubtda.1590581.

Vancouver

1.Yavuz Selim Balcıoğlu, Semih Göksu, Bülent Sezen. ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS. Estuscience - Se. 2025 Jun. 1;26(2):112-31. doi:10.18038/estubtda.1590581

Abstract

ENHANCED PRODUCTION QUALITY PREDICTION IN COLD ROLLING PROCESSES USING TABTRANSFORMER AND MACHINE LEARNING ALGORITHMS

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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