Journal
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Volume 155, Issue -, Pages 1647-1652Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2004.04.318
Keywords
milling cutting forces prediction; genetic programming
Ask authors/readers for more resources
Knowing cutting forces is important for choosing cutting parameters for milling. Traditionally, cutting forces are calculated by equation which includes empirically measured specific cutting forces. In the article modelling of cutting forces with genetic programming is proposed. which imitates principles of living beings. Measurements have been made for two materials (aluminium alloy AlMgSil and steel 1.2343) and two different types of milling (conventional milling and STEP milling). For each material and type of milling parameters, tensile strength and hardness of workpiece, tool diameter, cutting depth, spindle speed, feeding and type of milling were monitored, and for each combination of milling parameters cutting forces were measured. On the basis of the experimental data, different models for Cutting forces prediction were obtained by genetic programming. Research shows that genetically developed models fit the experimental data. (C) 2004 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available