Abstract
Polymers are extensively applied and discovered acceleratory. As they are numerous, the mastery in plastic assortment is rarity and never complete. Experts in plastic products’ design are mainly inaccessible to small and mediumsized enterprises (SMEs’) due to their economic and personnel capacities. This paper presents a common plastic product development process and its deficiencies regarding material selection process, where engineer has to consider technical parameters along with customer’s expectations. A decision support system for plastic products’ design is proposed to offer intelligent advice or recommendation to young or inexperienced designers.
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References
Kim, I.S., Prasad, Y.K.D.V., Stoynov, L.A.: A study on an intelligent system to predict the tensile stress in welding using solar energy concentration. Journal of Materials Processing Technology. Vol. 153-154, pp. 649-653 (2004).
Vidal, A., Alberti, M., Ciurana, J., Casadesus, M.: A decision support system for optimising the selection of parameters when planning milling operations. International Journal of Machine Tools & Manufacture. Vol. 45, pp. 201-210 (2005).
Molcho, G., Zipori, Y., Schneor, R., Rosen, O., Goldstein, D., Shpitalni, M.: Computer aided manufacturability analysis: Closing the knowledge gap between the designer and the manufacturer. CIRP Annals - Manufacturing Technology. Vol. 57, pp. 153-158 (2008).
Ashby, M.F., Johnson, K.: Materials and design. Elsevier (2005).
Ashby, M. F.: Materials selection in mechanical design, 3rd Ed. Elsevier (2005).
Novak, M., Dolšak, B.: Intelligent FEA-based design improvement. Engineering Applications of Artificial Intelligence. Vol. 21, pp. 1239-1254 (2008).
Turban, E., Aronson, J.E., Liang, T.P.: Decision Support Systems and Intelligent Systems. Prentice Hall (2004).
Ullah, S.A.M.M., Harib, K.H.: An intelligent method for selecting optimal materials and its application. Advanced Engineering Informatics. Vol.22, pp. 473-483 (2008).
Đurić, M., Devedžić, V.: I-Promise—intelligent protective material selection. Expert Systems with Applications. Vol.23, pp. 219-227 (2002).
Yilmaz, L., Oren, T. (Eds.).: Agent-directed simulation and systems engineering. John Wiley & Sons (2009).
Sevstjanov, P., Figat, P.: Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets. Omega. Vol. 35, pp. 505-523 (2007).
Zio, E., Baraldi, P., Librizzi, M., Podofillini, L., Dang, V.N.: A fuzzy set-based approach for modeling dependence among human errors. Fuzzy Sets and Systems. Vol. 160, pp. 1947- 1964 (2009).
Benzmüller, C., Sorge, V., Jamnik, M., Kerber, M.: Combined reasoning by automated cooperation. Journal of Applied Logic. Vol. 6, pp. 318-342 (2008).
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Sancin, U., Dolšak, B. (2010). Decision Support in Designing with Polymers. In: Bramer, M., Ellis, R., Petridis, M. (eds) Research and Development in Intelligent Systems XXVI. Springer, London. https://doi.org/10.1007/978-1-84882-983-1_39
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DOI: https://doi.org/10.1007/978-1-84882-983-1_39
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