MP 2001 Speakers


 

Hans Peter Heim

 

The Statistical Regression Calculation in the Plastics Processing - Process Analysis, Optimisation and Monitoring

KTP Institute für Kunststofftechnik, Universität Paderborn, Pohlweg 47-49, DE 33098 Paderborn, Germany

Tel: +49 5251602453   Fax: +49 5251603821                                                E-mail: heim@ftp.upd.de
Biography

Hans-Peter Heim studied engineering and business administration at the University of Paderborn in Germany. He finished his diploma thesis at an automotive supplier company in Italy in 1996. Afterwards he carried out different projects concerning quality assurance and quality improvement for plastic processing in the same company.

Since 1997 he works on the field of gas assisted injection moulding, quality improvement and quality assurance in the group of Prof. Dr.-Ing. H. Potente at the KTP – Institut für Kunststofftechnik. Since 1999 he is chief engineer of the KTP. He finished his ph. d. thesis in march 2001 		Abstract

Plastics processing companies can only meet up to present-day quality requirements if they adopt systematic methods. This holds particularly true for the extremely stringent demands that are now placed on injection molding technology.

Working on from a sound experimental basis, it is possible to define cause/effect correlations for two sets of empirical data (the current process conditions and the molded part attributes) for each quality variable by using a statistical process model. The process model enables the processor to calculate the effect of each individual combination of parameters in the experimental area and to perform an optimization.

If it proves possible to describe the cause/effect correlation between the fluctuations in the molded part attributes and those in the process parameters by means of a statistical process model, then this can be used for the continuous monitoring of production.

The statistical experimentation method and continuous process monitoring are grouped together to form the so-called CPC concept, permitting traceable, gap-free documentation of the quality data for a production chain. Three examples are set out to illustrate the possibilities for use of the CPC concept; these are then assessed on the basis of the benefit observed