Optimization of laser machining parameters and surface integrity analysis of the fabricated miniature gears

C. Anghel, K. Gupta, T. C. Jen

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Process optimization is an essential step to attain the machinability indicators as desired and suitable to the requirement. Whether its conventional or advanced manufacturing, statistical and/or soft computing based optimization has been attempted since a long to for the required process productivity, product quality, and sustainability. In this paper, single and multi-performance optimization of laser beam machining parameters is discussed for productivity and surface quality of miniature gears of stainless steel. A statistical optimization technique, desirability analysis has been used for optimization. Confirmation experiments have been conducted to verify the prediction of optimization. Further, a detailed surface integrity analysis of miniature gears machined at optimum laser parameters have been investigated for heat affected zone, surface defects, and hardness. Desirability technique has been found effective to optimize laser parameters in order to produce quality miniature gears. This investigation identified the potential of laser beam cutting for fabrication of quality miniature gears at high process productivity.

Original languageEnglish
Pages (from-to)878-884
Number of pages7
JournalProcedia Manufacturing
Publication statusPublished - 2020
Event30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021 - Athens, Greece
Duration: 15 Jun 202118 Jun 2021


  • Laser cutting
  • Miniature gear
  • Optimization
  • Surface integrity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering


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