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Infrared monitoring of aluminium milling processes for reduction of environmental impacts

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journal contribution
posted on 13.02.2017 by Alessandro Simeone, Elliot Woolley, Yang Luo, Owain Williams, Shahin Rahimifard
In modern manufacturing contexts, process monitoring is an important tool aimed at ensuring quality standard fulfilment whilst maximising throughput. In this work, a monitoring system comprised of an infrared (IR) camera was employed for tool state identification and surface roughness assessment with the objective of reducing environmental impacts of a milling process. Two data processing techniques, based on statistical parameters and polynomial fitting, were applied to the temperature signal acquired from the IR camera during milling operations in order to extract significant features. These features were inputted to two different neural network based procedures: pattern recognition and fitting, for decision making support on tool condition and surface roughness evaluation respectively. These capabilities are discussed in terms of reducing waste products and energy consumption whilst further improving productivity.

Funding

This research has been partially funded by the EPSRC Centre for Innovative Manufacturing in Industrial Sustainability (EP/I033351/1).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Refereed Journal of Engineering and Science (IRJES)

Volume

6

Issue

6

Pages

8-21

Citation

SIMEONE, A. ...et al., 2017. Infrared monitoring of aluminium milling processes for reduction of environmental impacts. International Refereed Journal of Engineering and Science (IRJES), 6 (6), pp. 8-21.

Publisher

IRJES

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

12/12/2016

Publication date

2017-06-30

Notes

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

2319-183X

Language

en

Licence

Exports