Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods
- 1 January 2010
- journal article
- Published by Elsevier BV in Materials & Design (1980-2015)
- Vol. 31 (1), 599-604
- https://doi.org/10.1016/j.matdes.2009.06.049
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell partMaterials & Design (1980-2015), 2007
- Predicting Shrinkage in Semi-Crystalline Injection Mouldings – The Influence of PressureMaterials Science Forum, 2006
- Shrinkage and warpage prediction of injection-molded thin-wall parts using artificial neural networksPolymer Engineering & Science, 2004
- Optimal process conditions of shrinkage and warpage of thin‐wall partsPolymer Engineering & Science, 2004
- Shrinkage behavior and optimization of injection molded parts studied by the taguchi methodPolymer Engineering & Science, 2001
- Effect of processing conditions on shrinkage in injection moldingPolymer Engineering & Science, 1998
- As-molded shrinkage measurements on polystyrene injection molded productsPolymer Engineering & Science, 1998
- Process studies in precision injection molding. I: Process parameters and precisionPolymer Engineering & Science, 1996