journal article·2008-04

Determination of Robust Conditions for Injection Moulding of Recycled Polypropylene

A. Cellere, G. Lucchetta

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Abstract

The aim of the robust design method is to determine the process conditions that minimize the influence of external noise factors, such as varying environmental conditions and material characteristics. In particular, in the injection moulding of recycled polymers, the properties of the raw material are subjected to significant variations due to changes in the mixtures, frequent batches changes and difficulty in controlling the characteristics of incoming materials. In this paper numerical simulations were used to test the influence of the rheological properties of recycled polypropylene blends on the warpage of a plastic component. The planning of the simulations was designed in according to the Mixture Design technique, and the polymer blends were characterized by rotational and capillary rheometers, to get the experimental rheological curve for both low and high shear rates. Experimental results were fitted to the Cross-WLF model, and then implemented into Moldflow Plastics Insight© to predict part warpage. Monte Carlo simulations were used to determine the probability distribution of two responses in terms of part warpage and to determine robust conditions to maintain warpage within designed tolerances.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Injection Molding Process and Properties · Rheology and Fluid Dynamics Studies · Polymer crystallization and properties

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References (5)

Show source-provided references
1. J., Scheirs, Polymer Recycling. Science. Technology and Applications, John Wiley & Sons, New York, NY, 1998.
2. M., Kleiber, J., Rojek, R., Stocki, 2002. Reliability assessment for sheet metal forming operations. Comput. Meth. Appl. Mech. Eng. 191, 4511–4532.10.1016/S0045-7825(02)00394-8 ↗
3. T., Jansson, A., Andersson, L., Nilsson, 2005. Optimization of draw-in for an automotive sheet metal part—an evaluation using surrogate models and response surfaces. J. Mater. Process. Technol. 159, 426–434.10.1016/j.jmatprotec.2004.06.011 ↗
4. M., Redhe, J., Forsberg, T., Jansson, P-O., Marklund, L., Nilsson, 2002. Using the response surface methodology and the D-optimality criterion in crashworthiness related problems. Struct. Multidisc. Optim. 24 (3), 185–194.10.1007/s00158-002-0228-9 ↗
5. J.A., Cornell, Experiments with Mixtures, John Wiley & Sons, New York, NY, 1990.