In this paper, an adaptive optimization method based on Kriging surrogate model is proposed to minimize the warpage of injection molded parts. Kriging surrogate model combining design of experiment (DOE) methods is used to build an approximate function relationship between warpage and the process pa
โฆ LIBER โฆ
An enhanced optimization approach based on Gaussian process surrogate model for process control in injection molding
โ Scribed by Wei Xia; Bin Luo; Xiao-ping Liao
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 1010 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0268-3768
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Surrogate-based process optimization for
โ
Yuehua Gao; Xicheng Wang
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 822 KB
A modified global optimization method ba
โ
Chuang Li; Fu-Li Wang; Yu-Qing Chang; Yang Liu
๐
Article
๐
2009
๐
Springer
๐
English
โ 210 KB
Adaptive model following control of the
โ
Cheng-Ping Chu; Jong-Hwei Wei; Ming-Chang Shih
๐
Article
๐
1991
๐
Society for Plastic Engineers
๐
English
โ 564 KB
## Abstract This paper is concerned with the practical application of the adaptive model following control (AMFC) theory on the cavity pressure control of the mold filling process in an injection molding machine. The experimental results indicate that the AMFC technique based on the modified Popovโ
An automated process for building reliab
โ
Steven C. Sutton; Mingxiu Hu
๐
Article
๐
2006
๐
American Association of Pharmaceutical Scientists
๐
English
โ 244 KB