Authors:
Urška Sancin
and
Bojan Dolšak
Affiliation:
Faculty of Mechanical Engineering and University of Maribor, Slovenia
Keyword(s):
Product development process, Design, Material selection, Plastics, Human cognition, Decision support system.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Expert Systems
;
Health Information Systems
;
Industrial Applications of AI
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Soft Computing
;
Symbolic Systems
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 econ
omic justification are going to be considered accordingly. The major benefits concern inexperienced designers along with small and medium sized enterprises (SMEs’).
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