The effective factors in the warpage problem of an injection-molded part with a thin shell feature

By Ming-Chih Huang, C. Tai. 2001

335 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Back Propagation neural network modeling for warpage prediction and optimization of plastic products during injection molding (2011, background): “And the optimum values for those parameters were revealed [6].”
Parameter Study in Plastic Injection Molding Process using Statistical Methods and IWO Algorithm (2011, methodology): “Hang et al. [4] considered six input parameters as; mold temperature, melting temperature, packing pressure, packing time and injection time.”
Prediction of warpage in plastic injection molding based on design of experiments (2012, background): “[2] pointed out that the most influential parameter on warpage was packing pressure, and the warpage was only slightly influenced by the”
Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm (2006, background): “However, very few of them are devoted to the optimization of such parts [ 6 , 7].”