Proceedings of the 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)

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Multi-objective Optimization Using BPNN-PSO in the Face Milling Process of AISI 1045

Authors
Satrio Darma Utama1, *, Arif Wahjudi1, Mohammad Khoirul Effendi1, Bobby O. P. Soepangkat1, Mazwan1, Ridhani Anita Fajardini1
1Mechanical Engineering Department, Sepuluh Nopember Institute of Technology, Surabaya, 60111, Indonesia
*Corresponding author. Email: rio.darma18@gmail.com
Corresponding Author
Satrio Darma Utama
Available Online 19 April 2023.
DOI
10.2991/978-94-6463-134-0_51How to use a DOI?
Keywords
optimization; BPNN-PSO; face milling
Abstract

An experiment was carried out in the face milling process of AISI 1045 material to determine the levels of the process parameters that could minimize cutting force (CF) and surface roughness (SR) and also maximize material removal rate (MRR) simultaneously. A Taguchi orthogonal array L9 was selected for this experiment. The experiment was randomized and replicated twice. The face milling process parameters varied cutting speed (Vc), feeding speed (Vf), and depth of cut (a). The optimization was performed using a combination of backpropagation neural network (BPNN) and particle swarm optimization (PSO) methods. The resulting network architecture configuration has 3 input layers and 3 output layers, with 5 hidden layers where each layer contains 5 neurons. The optimization result shows that the minimum CF and SR and the maximum MRR could be obtained simultaneously using the cutting speed of 308 m/min, feeding speed of 145 mm/min, and depth of cut of 1.5 mm.

Copyright
© 2023 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 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)
Series
Advances in Engineering Research
Publication Date
19 April 2023
ISBN
978-94-6463-134-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-134-0_51How to use a DOI?
Copyright
© 2023 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  - Satrio Darma Utama
AU  - Arif Wahjudi
AU  - Mohammad Khoirul Effendi
AU  - Bobby O. P. Soepangkat
AU  - Mazwan
AU  - Ridhani Anita Fajardini
PY  - 2023
DA  - 2023/04/19
TI  - Multi-objective Optimization Using BPNN-PSO in the Face Milling Process of AISI 1045
BT  - Proceedings of the 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)
PB  - Atlantis Press
SP  - 541
EP  - 549
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-134-0_51
DO  - 10.2991/978-94-6463-134-0_51
ID  - Utama2023
ER  -