DECISION SUPPORT TO POLYMER MATERIAL SELECTION

Urška Sancin, Bojan Dolšak

Abstract

To succeed means to develop and produce a product with optimal properties for considerable lower price in comparison to similar products on the market. Material selection is one of crucial decisions in product development process affecting quality as well as price of future product. In technical praxis, the designer has to evaluate the information gathered from material data sheets and simulations, engineering analysis and animations of future product performance in virtual environment. Afterwards, he or she has to seek interdependences between them and finally choose the optimum from the broad list of materials. Wide spectrum of various polymers at disposal should be outlined here, as it presents a problem to the designer at polymer material selection process. The proposed decision support system model is an attempt to solve this dilemma and will focus on function, technical features and shape of developing product. Other criteria, like serviceability, technical feasibility and economic justification are going to be considered accordingly. The major benefits concern inexperienced designers along with small and medium sized enterprises (SMEs’).

References

  1. Ashby, M., Johnson, K., 2005. Materials and Design, Elsevier.
  2. Budinski, G. K., Budinski, M. K., 2010. Engineering Materials, Pearson Prentice Hall, 9th edition.
  3. Ðuric, M., Devedžic, V., 2002. I-Promise-intelligent protective material selection. Expert Systems with Applications, 23, 219-227.
  4. Edwards, K. L., Deng, Y.-M., 2007. Supporting design decision-making when applying materials in combination. Materials & Design, 28, 1288-1297.
  5. McMahon, C., Lowe, A., Culley, S., 2004. Knowledge management in engineering design: personalization and codification. Journal of Engineering Design, 15, 307-325.
  6. Molcho, G., Zipori, Y., Schneor, R., Rosen, O., Goldstein, D., Shpitalni, M., 2008. Computer aided manufacturability analysis: Closing the knowledge gap between the designer and the manufacturer. In CIRP Annals - Manufacturing Technology, 57, 153-158.
  7. Turban, E., Aronson, J. E., Liang, T. P. 2004. Decision Support Systems and Intelligent Systems. Prentice Hall.
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Paper Citation


in Harvard Style

Sancin U. and Dolšak B. (2011). DECISION SUPPORT TO POLYMER MATERIAL SELECTION . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 707-710. DOI: 10.5220/0003293107070710


in Bibtex Style

@conference{icaart11,
author={Urška Sancin and Bojan Dolšak},
title={DECISION SUPPORT TO POLYMER MATERIAL SELECTION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={707-710},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003293107070710},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - DECISION SUPPORT TO POLYMER MATERIAL SELECTION
SN - 978-989-8425-40-9
AU - Sancin U.
AU - Dolšak B.
PY - 2011
SP - 707
EP - 710
DO - 10.5220/0003293107070710