Adaptive Neuro-Fuzzy Optimization for Enhanced Precision in Laser Micro-Machining Operations

Journal Title: Journal of Engineering Management and Systems Engineering - Year 2023, Vol 2, Issue 2

Abstract

In this study, an intelligent optimization system for laser micro-machining operations is developed, utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS). The heuristic optimization tool, ANFIS, synergistically combines back-propagation training with gradient descent in a unidirectional manner. A comprehensive training set, incorporating experimental data from the literature, highlights the sensitivity of groove depth and recast layer height to specific critical operating factors during the laser micro-machining process. By optimizing lamp current, pulse width, and frequency, the proposed system aims to achieve superior groove depth and recast layer height outcomes. This novel microscopic research holds the potential to captivate both academic scholars and industry professionals.

Authors and Affiliations

Sanjin Troha, Miloš Milovančević, Aleksandar Dimov

Keywords

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  • EP ID EP731812
  • DOI 10.56578/jemse020205
  • Views 62
  • Downloads 0

How To Cite

Sanjin Troha, Miloš Milovančević, Aleksandar Dimov (2023). Adaptive Neuro-Fuzzy Optimization for Enhanced Precision in Laser Micro-Machining Operations. Journal of Engineering Management and Systems Engineering, 2(2), -. https://europub.co.uk/articles/-A-731812