Advances in Manufacturing, Laser Additive Techniques: Case Study

Akinlabi, Esther T.; Agarana, M. C.; Akinlabi, Stephen A.

doi:10.1002/9783527825233.ch10

Cited by 1 publication

(2 citation statements)

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“…As a consequence of this, researchers can achieve levels of excellent efficiency and precision. The relevance of optimisation in LBM extends to other areas as well, such as aerospace and medical device manufacturing, where adhering to exacting standards is of the utmost importance and where even the tiniest deviations may have devastating effects [44][45][46][47][48].…”

Section: Significance Of Optimization Techniques Of Lbmmentioning

confidence: 99%

“…This capability is particularly significant as it enables the techniques to meet the rigorous requirements imposed by aerospace components. Likewise, within the realm of electronics, researchers have employed multi-objective optimization techniques to customize laser micro-cutting parameters [46][47][48][146][147][148][149][150][151][152]. The implementation of these optimizations led to enhanced precision in the process of cutting intricate patterns on thin materials, which is a crucial necessity for the production of electronic circuits and micro-devices.…”

Section: Practical Applications and Case Studiesmentioning

confidence: 99%

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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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