A linguistic based preliminary procedure for qualitative polymer process design

Abstract A new methodology for polymer process qualitative design in the conceptual or preliminary engineering phase is presented. This method relies on fuzzy theories in order to investigate the effect of fuzzy-type uncertainty on both single and multiple output performance parameters, such as desired material properties, resulting from the polymer processing through the use of language computations. The proposed linguistic design of experiments involves a three-stage procedure comprising linguistic fuzzification, inference and defuzzification. For illustration, the implementation procedure is detailed through the study of a compression molding process in the presence of vagueness. The proposed method is expected to enhance the quality of the polymer processing and also to save both time and cost during the course of the process development.

[1]  C. Ranawat,et al.  Comparison of polyethylene wear in machined versus molded polyethylene. , 1995, Clinical orthopaedics and related research.

[2]  F. S. Wong,et al.  Fuzzy weighted averages and implementation of the extension principle , 1987 .

[3]  Li Chen,et al.  Manipulation of Uncertainties in the Determination of Optimal Machining Conditions Under Multiple Criteria , 1997 .

[4]  David Ben-Arieh,et al.  Quantifying data for group technology with weighted fuzzy features , 1992 .

[5]  Gregory L. Fenves,et al.  Qualitative reasoning and the representation of fundamental principles in structural engineering , 1994 .

[6]  Ping-Teng Chang,et al.  The estimation of normalized fuzzy weights , 1995 .

[7]  T. Kanamoto,et al.  The effect of initial morphology on the mechanical properties of ultra‐high molecular weight polyethylene , 1986 .

[8]  Kurt J. Schmucker,et al.  Fuzzy Sets, Natural Language Computations, and Risk Analysis , 1983 .

[9]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[10]  Kevin Otto,et al.  A tool for imprecise calculations in engineering systems , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[11]  M. Dohnal,et al.  Qualitative reasoning with reference to polymers , 1995 .

[12]  I. S Kochev.  Qualitative theory of the reactions and stresses in high speed planar linkages , 1992 .

[13]  Singiresu S Rao,et al.  Generalized hybrid method for fuzzy multiobjective optimization of engineering systems , 1996 .

[14]  Li Chen,et al.  Fuzzy finite-element approach for the vibration analysis of imprecisely-defined systems , 1997 .

[15]  Huibert Kwakernaak,et al.  Rating and ranking of multiple-aspect alternatives using fuzzy sets , 1976, Autom..

[16]  E. Arai,et al.  Qualitative kinematic analysis and simulation for mechanical design , 1994 .

[17]  Lefteri H. Tsoukalas,et al.  Fuzzy and neural approaches in engineering , 1997 .

[18]  R. Roy.  A Primer on the Taguchi Method , 1990 .