Determination of effecting dimensional parameters on warpage of thin shell plastic parts using integrated response surface method and genetic algorithm

By B. Ozcelik, Tuncay Erzurumlu. 2005

184 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3f88456692380600e4e2af264c0a18837b859f50

How researchers see this paper

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

In Automotive Engineering

1. Kuang Yuan Kung
2. Xicheng Wang
3. Ko-Ta Chiang
4. Jenn-Tsong Horng
5. Yuehua Gao

In Mechanical Engineering

1. Kuang Yuan Kung
2. Xicheng Wang
3. Ko-Ta Chiang
4. Jenn-Tsong Horng
5. Yuehua Gao
6. T. Kıvak

Citations in the corpus

• Material removal rate and electrode wear ratio study on the powder mixed electrical discharge machining of cobalt-bonded tungsten carbide (2009, methodology): “It is one of the most widely used methods to solve the optimization problem in manufacturing environments [20–22].”
• An effective warpage optimization method in injection molding based on the Kriging model (2008, methodology): “Ozcelik, Erzurumlu, and Kurtaran optimized dimensional parameters [ 10 ] and process conditions [11–13] to reduce the warpage of thinshell plastic parts by combining genetic algorithms with the response surface method or a neural network model.”