TY - JOUR
T1 - Optimization of laser machining parameters and surface integrity analysis of the fabricated miniature gears
AU - Anghel, C.
AU - Gupta, K.
AU - Jen, T. C.
N1 - Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Laser cutting
KW - Miniature gear
KW - Optimization
KW - Surface integrity
UR - http://www.scopus.com/inward/record.url?scp=85099870083&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.10.123
DO - 10.1016/j.promfg.2020.10.123
M3 - Conference article
AN - SCOPUS:85099870083
SN - 2351-9789
VL - 51
SP - 878
EP - 884
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021
Y2 - 15 June 2021 through 18 June 2021
ER -
