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15 - General Engineering

Liverpool John Moores University

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Output 13 of 39 in the submission

Article title

Empirical modelling of grinding force based on multivariate analysis

Type

D - Journal article

DOI

10.1016/j.jmatprotec.2007.10.058

Title of journal

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Article number

Volume number

203

Issue number

1-3

First page of article

420

ISSN of journal

0924-0136

Year of publication

2008

URL

Number of additional authors

Additional information

This paper presents a new robust method for grinding force model development, which is an essential element for grinding quality control and grinding fixture design. The method integrates and optimises orthogonal arrays, and filters to improve signal-to-noise ratio based on a cross correlation function. It significantly improved the reliability of grinding force models for industrial application. A set of empirical models of the grinding force for the superalloy CMSX4 were built up using multivariate analysis and these models have been verified through further experiments. The method has now been applied by Rolls-Royce.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract