TY - JOUR
T1 - Multi Response Optimization of Laser Micro Marking Process:A Grey- Fuzzy Approach
AU - Shivakoti, I.
AU - Das, P. P.
AU - Kibria, G.
AU - Pradhan, B. B.
AU - Mustafa, Z.
AU - Ghadai, R. K.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/7/7
Y1 - 2017/7/7
N2 - The selection of optimal parametric combination for efficient machining has always become a challenging issue for the manufacturing researcher. The optimal parametric combination always provides a better machining which improves the productivity, product quality and subsequently reduces the production cost and time. The paper presents the hybrid approach of Grey relational analysis and Fuzzy logic to obtain the optimal parametric combination for better laser beam micro marking on the Gallium Nitride (GaN) work material. The response surface methodology has been implemented for design of experiment considering three parameters with their five levels. The parameter such as current, frequency and scanning speed has been considered and the mark width, mark depth and mark intensity has been considered as the process response.
AB - The selection of optimal parametric combination for efficient machining has always become a challenging issue for the manufacturing researcher. The optimal parametric combination always provides a better machining which improves the productivity, product quality and subsequently reduces the production cost and time. The paper presents the hybrid approach of Grey relational analysis and Fuzzy logic to obtain the optimal parametric combination for better laser beam micro marking on the Gallium Nitride (GaN) work material. The response surface methodology has been implemented for design of experiment considering three parameters with their five levels. The parameter such as current, frequency and scanning speed has been considered and the mark width, mark depth and mark intensity has been considered as the process response.
UR - https://www.scopus.com/pages/publications/85025815720
UR - https://www.scopus.com/inward/citedby.url?scp=85025815720&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/217/1/012033
DO - 10.1088/1757-899X/217/1/012033
M3 - Conference article
AN - SCOPUS:85025815720
SN - 1757-8981
VL - 217
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012033
T2 - International Conference on Materials Technology and Energy, ICMTE 2017
Y2 - 20 April 2017 through 21 April 2017
ER -