Abstract
A new model for optimizing the product assembly precision was put forward to solve the issue of the accuracy and efficiency problems in assembly precision optimization. The tolerance of component was restricted by the soft and hard bound, and the trim size was simulated by using Monte Carlo to calculate the assembly precision and the success rate which compose the evaluation index of each precision design project together with the cost of processing. The optimization objective was identified by fuzzy comprehensive evaluation. Using the genetic simulated annealing, the assembly precision design result closed to the best solution was obtained in the area of assembly precision distribution and assembly precision optimization in the product design stage. Finally an example proves that the assembly accuracy of the product is improved significantly, while the processing cost increases a little.
| Original language | English |
|---|---|
| Pages (from-to) | 4616-4620+4624 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 21 |
| Issue number | 15 |
| Publication status | Published - 5 Aug 2009 |
Keywords
- Assembly precision optimize
- Evaluation indicators
- Genetic algorithm
- Soft and hard bound