Name
Title | ||
|---|---|---|
Research on optimization design of the heating/cooling channels for rapid heat cycle molding based on response surface methodology and constrained particle swarm optimization |
Abstract | ||
|---|---|---|
The aim of this work is to optimize the layout of the heating/cooling channels for rapid heat cycle molding with hot medium heating and coolant cooling by using response surface methodology and optimization technique. By means of a Box-Behnken experiment design technique, an experiment matrix with three factors and three levels was designed. The design variables including the diameter of the heating/cooling channels, distances from the wall of heating/cooling channel to the cavity surface and between the adjacent heating/cooling channels were used to describe the layout and shape of the heating/cooling channels. The heating efficiency, standard deviation of the cavity surface temperature and the maximum von-mises stress were considered as the model variables. Thermal response and structural strength analyses of the mold based on FEM were conducted to acquire the objective variables for combination of process parameters. Some mathematical models of response surface were created by the mixed regression model and response surface method. The analysis of variance (ANOVA) method was used to check the accuracy of the developed mathematical models. With these mathematical models, the layout of the heating/cooling channels was then optimized to minimize the required heating time within reasonable temperature distribution and structural strength of the cavity by coupling the developed response surface (RS) models with the particle swarm optimization (PSO) method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.eswa.2010.11.063 | Expert Syst. Appl. |
Keywords | Field | DocType |
cavity surface,mathematical model,response surface methodology (rsm),hot medium heating,required heating time,developed response surface,response surface methodology,optimization design,rapid heat cycle molding (rhcm),particle swarm optimization,steam heating,particle swarm optimization (pso),cavity surface temperature,response surface,injection molding,coolant cooling,heating efficiency,rapid heat cycle molding,adjacent heating,standard deviation,analysis of variance,optimal design,surface temperature,regression model,experience design | Particle swarm optimization,Data mining,Mathematical optimization,Thermal,Computer science,Mechanical engineering,Mathematical model,Thermodynamic cycle,Molding (process),Coolant,Response surface methodology,Design of experiments | Journal |
Volume | Issue | ISSN |
38 | 6 | Expert Systems With Applications |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guilong Wang | 1 | 1 | 0.37 |
| Guoqun Zhao | 2 | 24 | 5.99 |
| Huiping Li | 3 | 1 | 0.37 |
| Yanjin Guan | 4 | 1 | 0.37 |