Optimisation of multi-pass cutting parameters in face-milling based on genetic search

• Type: Article in International Scientific Journal
• Date: 2009

Authors

antonio, cac (Author) FEUP; castro, cf (Author) FEUP; davim, jp (Author) Other

Journal

Title: International Journal of Advanced Manufacturing Technology

Vol. 44

Pages: 1106-1115

ISSN: 0268-3768

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 20 Citations

Scopus - 23 Citations

Other information

Authenticus ID: P-003-FCV

DOI: 10.1007/s00170-009-1933-y

Abstract (EN): The problem of face-milling optimisation is revisited in this work, and a numerical model to optimise machining parameters in multi-pass processes is presented. Considering the technological constraints of the machining process, the optimisation algorithm sought to minimise manufacturing costs. The design variables were the depth of cut, the cutting speed and the feed in each pass. Bounds on depth of cut, cutting speed, feed, surface finishing, cutting force, cutting power and tool life were considered as technological constraints. With the machining process operating in a multi-pass way, the depth of cut for each pass depends upon the total volume of material to be removed. In this paper, a new approach based on substituting the depth of cut with a sequence of depths of cut is presented. After generation of feasible values for sequences of depths of cut, the optimal solution was found by searching over the entire domain of design variables using a genetic algorithm based on an elitist strategy. The performance of the developed model is compared with other published models in the literature, and the multi-pass strategy is discussed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10