The Library
Modelling of direct metal laser sintering of EOS DM20 bronze using neural networks and genetic algorithms
Tools
Tools
Tools
Singh, A., Cooper, David E., Blundell, N., Gibbons, Gregory John and Pratihar, D. K. (2013) Modelling of direct metal laser sintering of EOS DM20 bronze using neural networks and genetic algorithms. In: 37th International MATADOR Conference, Manchester, 25-27 Jul 2012. Published in: Proceedings of the 37th International MATADOR Conference ISBN 9781447144793.
|
PDF
WRAP_MATADOR DMLS Paper AS_Final_.pdf - Requires a PDF viewer. Download (727Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/978-1-4471-4480-9_11
Abstract
An attempt was made to predict the density and microhardness of a component produced by Laser Sintering of EOS DM20 Bronze material for a given set of process parameters. Neural networks were used for process-based-modelling, and results compared with a Taguchi analysis. Samples were produced using a powder-bed type ALM (Additive Layer Manufacturing)-system, with laser power, scan speed and hatch distance as the input parameters, with values equally spaced according to a factorial design of experiments. Optical Microscopy was used to measure cross-sectional porosity of samples; Micro-indentation to measure the corresponding Vickers’ hardness.
Two different designs of neural networks were used - Counter Propagation (CPNN) and Feed-Forward Back-Propagation (BPNN) and their prediction capabilities were compared. For BPNN network, a Genetic Algorithm (GA) was later applied to enhance the prediction accuracy by altering its topology. Using neural network toolbox in MATLAB, BPNN was trained using 12 training algorithms. The most effective MATLAB training algorithm and the effect of GA-based optimization on the prediction capability of neural networks were both identified.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Library of Congress Subject Headings (LCSH): | Sintering, Neural networks (Computer science), Genetic algorithms | ||||
| Journal or Publication Title: | Proceedings of the 37th International MATADOR Conference | ||||
| Publisher: | Springer | ||||
| ISBN: | 9781447144793 | ||||
| Editor: | Hinduja, Srichand and Li, Lin | ||||
| Official Date: | 2013 | ||||
| Dates: |
|
||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 37th International MATADOR Conference | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Manchester | ||||
| Date(s) of Event: | 25-27 Jul 2012 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
