Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process

Date

2022-02-22

Advisors

Journal Title

Journal ISSN

ISSN

1748-572X

Volume Title

Publisher

Inderscience

Type

Article

Peer reviewed

Yes

Abstract

Cutting parameters and factors should be selected wisely to increase the quality of a product. Therefore, the optimisation of the deep drilling process was investigated by utilising the Taguchi method on three materials by three different tools. The influences of cutting speed and workpiece temperature are investigated on machining power, surface roughness and tool wear. The results revealed that the application of preheating could provide lower power consumption and a relatively good finished surface. In continuation, analysis of variance demonstrated that all factors are effective, but the workpiece material and speed are the most influential parameters on surface roughness and power consumption, respectively. Workpiece material influenced about 72.24% on machining performance, and its effect was more than tool material (3.64%). For machining power, the effect of speed (55.41%) was higher than others. The preheating and lower speeds reduced tool wear of titanium coated and cobalt coated drills.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

machining power, Precooling, Preheating, Machining performance, Surface roughness, Machining power

Citation

Damavandi, E., Kolahdooz, A., Shokoohi, Y., Rostami, S.A.L. and Tabatabaei, S.M., (2022) Multi-objective parameter optimisation to improve machining performance on deep drilling process. International Journal of Machining and Machinability of Materials, 23 (5-6), pp. 500-513

Rights

Research Institute

Institute of Engineering Sciences (IES)