Work

Process parameter optimization based on principal components analysis during machining of hardened steel

Year: 2015

Type: article

Abstract: The optimum selection of process parameters has played an important role for improving the surface finish, minimizing tool wear, increasing material removal rate and reducing machining time of any machining process. In this paper, optimum parameters while machining AISI D2 hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization of process parameters along with multiple quality characteristics, principal components analysis method has been adopted in this work. The confirmation experiments have revealed that to improve performance of cutting; principal components analysis method would be a useful tool.

Source: International Journal of Industrial Engineering Computations

DOI: 10.5267/j.ijiec.2015.2.004

Authors: Suryakant B. Chandgude, Padmakar J. Pawar, Mudigonda Sadaiah

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1998952256

FWCI: 0.316

Cites: 28

Cited by: 3

Related to: 10