B6610821.pdf (607.35 kB)
Infrared monitoring of aluminium milling processes for reduction of environmental impacts
journal contribution
posted on 2017-02-13, 14:14 authored by Alessandro Simeone, Elliot WoolleyElliot Woolley, Yang Luo, Owain Williams, Shahin RahimifardShahin RahimifardIn 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
6Issue
6Pages
8-21Citation
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
IRJESVersion
- 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
2016-12-12Publication date
2017-06-30Notes
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
2319-183XPublisher version
Language
- en