{"title":"Study on laser textured surface machining and optimization of process parameters","authors":"Yazhou Mao, Yuxuan Zhang, Shaolin Shi, Linyuan Wang, Zichen Li, Jingyang Zheng","doi":"10.1007/s00340-024-08381-z","DOIUrl":null,"url":null,"abstract":"<div><p>Laser processing parameters are an important factor determining the surface quality during the process of micro pit surface texture forming. Box-Behnken (BBD) and orthogonal method were used to design the parameters of laser machining, as well as the relationship between energy, frequency, pulse width and repetition times on micro pit forming were studied. The response surface method (RSM) model and BP neural network model optimized by gray wolf algorithm (GWO) were established respectively, and the processing parameters were predicted and optimized. The optimal laser processing parameters obtained by GWO-BP model were 333.5 μm and 28.8 μm, which are higher than 254.2 μm and 21.4 μm obtained by RSM model. The results showed that the prediction and optimization ability of the GWO-BP model was better than that of the RSM model, and the BP model optimized by GWO could provide a more effective prediction method for realizing the optimal laser micro pit machining.</p></div>","PeriodicalId":474,"journal":{"name":"Applied Physics B","volume":"131 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Physics B","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1007/s00340-024-08381-z","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Laser processing parameters are an important factor determining the surface quality during the process of micro pit surface texture forming. Box-Behnken (BBD) and orthogonal method were used to design the parameters of laser machining, as well as the relationship between energy, frequency, pulse width and repetition times on micro pit forming were studied. The response surface method (RSM) model and BP neural network model optimized by gray wolf algorithm (GWO) were established respectively, and the processing parameters were predicted and optimized. The optimal laser processing parameters obtained by GWO-BP model were 333.5 μm and 28.8 μm, which are higher than 254.2 μm and 21.4 μm obtained by RSM model. The results showed that the prediction and optimization ability of the GWO-BP model was better than that of the RSM model, and the BP model optimized by GWO could provide a more effective prediction method for realizing the optimal laser micro pit machining.
期刊介绍：
Features publication of experimental and theoretical investigations in applied physics
Offers invited reviews in addition to regular papers
Coverage includes laser physics, linear and nonlinear optics, ultrafast phenomena, photonic devices, optical and laser materials, quantum optics, laser spectroscopy of atoms, molecules and clusters, and more
94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again
Publishing essential research results in two of the most important areas of applied physics, both Applied Physics sections figure among the top most cited journals in this field.
In addition to regular papers Applied Physics B: Lasers and Optics features invited reviews. Fields of topical interest are covered by feature issues. The journal also includes a rapid communication section for the speedy publication of important and particularly interesting results.
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