Multi-Quality optimization in pulsed laser cutting of thin laminated cores using the preference selection index method

This study explores a pulsed Nd:YAG laser cutting of thin laminated cores made from non-oriented electrical steel sheets, aiming to optimize cutting quality aims to investigate the cutting quality of a thin laminated core using a non-oriented electrical steel sheet by a pulsed fiber Nd: YAG laser. The influence of laser power (P), scanning speed (v), and pulse repetition rate (f) on cutting time (TC), recast layer height (H), and kerf surface roughness (Sa) is analyzed to determine optimal processing parameters. Each process parameter is elected with three levels, and a total of 27 experimental datasets are achieved. The preference selection index (PSI) method is used to determine the optimal cutting quality based on multiple criteria derived from experimental results. The best quality is found at No. 23 with process parameters of P = 18 W, v = 600 mm/s, and f = 30 kHz for qualities of TC = 20.6 s, H = 20.2 µm, and Sa = 2.4 µm.

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Publication Details

Journal
CTU Journal of Innovation and Sustainable Development
Published
2025-03-04
DOI
https://doi.org/10.22144/ctujoisd.2025.001
Primary Topic
Laser Material Processing Techniques
Type
article
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article

Multi-Quality optimization in pulsed laser cutting of thin laminated cores using the preference selection index method

Nguyen Thị Thanh Van, Thi Hong Nguyen, Jeng-Rong Ho, Van Cuong Nguyen et al.
CTU Journal of Innovation and Sustainable Development
Laser Material Processing Techniques
article

Multi-Quality optimization in pulsed laser cutting of thin laminated cores using the preference selection index method

Nguyen Thị Thanh Van, Thi Hong Nguyen, Jeng-Rong Ho, Van Cuong Nguyen, Dinh Tu Nguyen, Ngô Văn Tài, Thanh Thuong Huynh
article en

Abstract

This study explores a pulsed Nd:YAG laser cutting of thin laminated cores made from non-oriented electrical steel sheets, aiming to optimize cutting quality aims to investigate the cutting quality of a thin laminated core using a non-oriented electrical steel sheet by a pulsed fiber Nd: YAG laser. The influence of laser power (P), scanning speed (v), and pulse repetition rate (f) on cutting time (TC), recast layer height (H), and kerf surface roughness (Sa) is analyzed to determine optimal processing parameters. Each process parameter is elected with three levels, and a total of 27 experimental datasets are achieved. The preference selection index (PSI) method is used to determine the optimal cutting quality based on multiple criteria derived from experimental results. The best quality is found at No. 23 with process parameters of P = 18 W, v = 600 mm/s, and f = 30 kHz for qualities of TC = 20.6 s, H = 20.2 µm, and Sa = 2.4 µm.

CTU Journal of Innovation and Sustainable DevelopmentVol. 17(Special issue: ETMD)
Openalex Percentile: Top 94%
Laser Material Processing Techniques
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