Authors: Marco Mazzola, Francesco Aggogeri
Addresses: Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy. ' Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy
Abstract: Since the knowledge of industrial processes is mainly based on virtualisation, it is fundamental to develop a better understanding of the real processes performing analysis from an industrial point of view. Every analysis must use tools and solutions that could be really useful for industries, and become improvement keys for success. This paper shows a structured analysis of a turning process, to gain useful information, to evaluate experimental data and to define some improvement guidelines. On the basis of an excellent dataset, the main objective is to perform statistical analyses to estimate the influence of critical factors on response variables.
Keywords: EDA; exploratory data analysis; analysis of variance; ANOVA; design of experiments; DOE; cutting process; turning; critical factors; response variables.
International Journal of Manufacturing Research, 2009 Vol.4 No.2, pp.203 - 218
Available online: 09 Apr 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article