Tunable simultaneous Bayesian optimization of hole taper and processing time in QCW laser drilling

Yang, Jian; Niu, Jian; Chen, Long; Cao, Kaiqiang; Jia, Tianqing; Xu, Hongxing

doi:10.1016/j.jmapro.2023.12.054

Cited by 4 publications

(1 citation statement)

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“…The results indicated that BO was capable of efficiently optimising the LD process within a fourdimensional parameter space, leading to enhanced hole taper and reduced processing time. The study also examined the physical mechanisms that impact the drilling process and its potential for future laser machining applications [83].…”

Section: Nature-inspired Algorithmsmentioning

confidence: 99%

Systematic review of optimization techniques for laser beam machining

Kharche,

Patil

2024

Eng. Res. Express

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Laser Beam Machining (LBM) has several applications in the aerospace, medical, and automobile domains. Optimization techniques are essential for LBM to increase resource-efficiency and sustainability of the system. The present paper aims to provide a systematic review of the research in the domain of optimization techniques for LBM. A total of 228 research papers published during the last 20 years, from 2003 to 2023, are reviewed. The literature review is classified into three major sections- (i) optimization techniques, (ii) applications of optimization techniques, and (iii) challenges and future directions. The novelty of the present systematic review paper is to provide a direction for future research in the domain of optimization techniques of LBM. As a result of the suggested research, an efficient and sustainable LBM with the required performance will be developed in the shortest possible time.

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Section: Nature-inspired Algorithmsmentioning

confidence: 99%