Advanced optimal tolerance design of mechanical assemblies with interrelated dimension chains and process precision limits
- 作者：Singh ; Pradeep K. ; Jain ; Satish C. ; Jain ; Pramod K.
- 关键词：Tolerance design ; Dimension chain ; Genetic algorithm ; Cost functions
- 刊名：Computers in Industry
- 出版年：2005
- 期刊代码：42_01663615
- 类别：cp
- 出版时间：February, 2005
- 卷：56
- 期：2
- 页码：179-194
- 文件大小：447 K
摘要
Tolerance design is an important step in product development. The topic has been under extensive research, which has resulted in several formulations and solution algorithms for systematic tolerance design considering various aspects. An optimal tolerance design problem involving alternative manufacturing processes for realization of a dimension can be referred to as the advanced tolerance design problem, where the optimal selection of a set of manufacturing processes is also considered in addition to the optimal set of tolerances. Such a nonlinear multivariate optimal tolerance design problem results in a non-convex combinatorial solution surface. Optimal solution of the advanced tolerance design problem is difficult with the traditional optimization techniques. The problem becomes more complex with the assemblies involving interrelated dimension chains, and manufacturing processes bracketed by precision bounds. The focus of this work is on the optimal solution of the aforementioned advanced tolerance design problem. Genetic algorithm, a non-traditional global optimization technique has been proposed as the solution methodology for its inherent advantages. Application of the methodology has been demonstrated with the help of suitable examples. Concept of the set up reduction constraints has also been introduced, wherein all the similar dimensions on a single part are manufactured on a single machine, resulting in a single value of design tolerance associated to all such dimensions.