Proceedings of the 10th International Conference on Science and Technology (ICST 2024)

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RSM-based Modeling to Restrain the Dimension Deviation in CNC Milling Operation

Authors
Yohanes T. Wibowo1, 2, Nurhadi Siswanto1, *, Mokh. Suef1
1Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
2Department of Mechanical Industry Engineering, Astra Polytechnic, Jakarta, Indonesia
*Corresponding author. Email: siswanto@ie.its.ac.id
Corresponding Author
Nurhadi Siswanto
Available Online 1 July 2025.
DOI
10.2991/978-94-6463-772-4_43How to use a DOI?
Keywords
Dimension deviation; Dimension prediction; RSM; CNC milling; Machine parameter
Abstract

The problem of dimension deviation still happens in CNC milling operation, although using a modern machine completed with many advanced features. This study aims to get a prediction model for calculating the dimension deviation using selected machine parameters such as feed rate, cutting speed, axial depth of cut, and radial depth of cut. The study is to find the best solution for machine parameter configuration to restrain the dimension deviation so that the dimension deviation can be controlled. The method in this study is response surface methodology. Analyzing data collected from the experiment, the prediction model of dimension deviation based on response surface methodology is very accurate, with a coefficient correlation of 0.89, RMSE 5.52%, MAPE 0.938%, and R-Square 0.8. The 89% of the prediction model lies in the range of 0.20 µm. The dimension deviation can be restrained to 0.1 µm. The objective to find the value of parameters that can restrain the dimension deviation using the response surface methodology approach has been shown. The delay as an effect of dimension deviation can be eliminated. Finally, this study can trigger an adoption study on another manufacturing CNC milling machine.

Copyright
© 2025 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 10th International Conference on Science and Technology (ICST 2024)
Series
Advances in Engineering Research
Publication Date
1 July 2025
ISBN
978-94-6463-772-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-772-4_43How to use a DOI?
Copyright
© 2025 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.

Cite this article

risenwbib
TY  - CONF
AU  - Yohanes T. Wibowo
AU  - Nurhadi Siswanto
AU  - Mokh. Suef
PY  - 2025
DA  - 2025/07/01
TI  - RSM-based Modeling to Restrain the Dimension Deviation in CNC Milling Operation
BT  - Proceedings of the 10th International Conference on Science and Technology (ICST 2024)
PB  - Atlantis Press
SP  - 474
EP  - 491
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-772-4_43
DO  - 10.2991/978-94-6463-772-4_43
ID  - Wibowo2025
ER  -