Open AccessROBUST ENGINEERING CASE STUDY FOR SIMULTANEOUS PARAMETER OPTIMIZATION OF A DEEP DRILLING PROCESS
Author(s) -
Laurentiu Aurel Mihail
Publication year - 2017
Publication title -
advanced quality
Language(s) - English
Resource type - Journals
eISSN - 2217-8538
pISSN - 2217-8155
DOI - 10.25137/ijaq.n1.v45.y2017.p27-34
Subject(s) - taguchi methods , machining , drill , design of experiments , drilling , process (computing) , computer science , coordinate measuring machine , quality (philosophy) , software , orthogonal array , fractional factorial design , factorial experiment , mechanical engineering , engineering drawing , engineering , machine learning , mathematics , statistics , philosophy , epistemology , programming language , operating system
The paper reflects de overall results of an experiment developed for optimising a deep peck drilling process, using an extra-long flute drill. The problem stated was the dimensional, geometrical and orientation accuracy of the holes machined by the previously mentioned machining method. The target was to improve the quality of the machined parts and to reach the maximum productivity in the same time. The optimisation method used was the Taguchi Method, with a L423 fractionated factorial array. Another important issue was to optimise several quality characteristics, simultaneously. After machining the test part on a high-speed machining flexible system, the parts were measured on a coordinate measuring machine. Finally, the data was computed assisted by an advanced quality software. The simultaneous optimisation was achieved by validated method, through several iterations based on advanced process and design of experiments knowledge. Finally, the conclusions were compared with another results, from the same research program, validating it.