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Impact performance prediction of injection-molded talc-filled polypropylene through thermomechanical environment assessment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Barbosa, Carlos Henrique N. De Resende Carvalho, Francisco B. Viana, Julio C. Franzen, Markus Simoes, Ricardo |
| Copyright Year | 2015 |
| Abstract | Due to the fact that different injection molding conditions tailor the mechanical response of the thermoplastic material, such effect must be considered earlier in the product development process. The existing approaches implemented in different commercial software solutions are very limited in their capabilities to estimate the influence of processing conditions on the mechanical properties. Thus, the accuracy of predictive simulations could be improved. In this study, we demonstrate how to establish straightforward processing-impact property relationships of talc-filled injection-molded polypropylene disc-shaped parts by assessing the thermomechanical environment (TME). To investigate the relationship between impact properties and the key operative variables (flow rate, melt and mold temperature, and holding pressure), the design of experiments approach was applied to systematically vary the TME of molded samples. The TME is characterized on computer flow simulation outputs and defined by two thermomechanical indices (TMI): the cooling index (CI; associated to the core features) and the thermo-stress index (TSI; related to the skin features). The TMI methodology coupled to an integrated simulation program has been developed as a tool to predict the impact response. The dynamic impact properties (peak force, peak energy, and puncture energy) were evaluated using instrumented falling weight impact tests and were all found to be similarly affected by the imposed TME. The most important molding parameters affecting the impact properties were found to be the processing temperatures (melt and mold). CI revealed greater importance for the impact response than TSI. The developed integrative tool provided truthful predictions for the envisaged impact properties. |
| Starting Page | 873 |
| Ending Page | 883 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/s00170-014-6495-y |
| Volume Number | 77 |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/s00170-014-6495-y |
| Alternate Webpage(s) | https://doi.org/10.1007/s00170-014-6495-y |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
