Drilling Process Quality Improvement by Grey Relation Analysis

Autor: Vijaya Kumar N. Kottur, Siddesh Lad, Janak Suthar, S.N. Teli
Rok vydání: 2020
Předmět:
Zdroj: Proceedings of International Conference on Intelligent Manufacturing and Automation ISBN: 9789811544842
DOI: 10.1007/978-981-15-4485-9_27
Popis: It is very important to take an optimum process parameter to improve the quality of machined products with a maximum tool life and less defects. Production of hole by drilling operation is a key process in composite manufacturing because drilling operation is being performed after cure/solidification process. Poor hole quality leads to rejections up to 60% of all products manufactured. Carbon fibre-reinforced plastic (CFRP) composite have large range of application in aircraft, automotive and medical industries. This work deals with a selection of optimum process parameters in drilling of CFRP to minimize defect, thrust and torque by using grey relational analysis (GRA). After conducting the study using multi-objective GRA, gave optimum process parameters such as spindle speed—3200 rpm, feed rate—0.15 mm/rev., delamination—1.2311, torque—1.483331 N-m and thrust—7.897 N.
Databáze: OpenAIRE