Reducing surplus parts of assembly processes by statistical selective assembly and fit capability indices
Date
1997
Authors
Low, Yip Seng
Major Professor
Advisor
Fang, Daniel X.
Committee Member
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Abstract
The main purpose of the research was to study the possibility of reducing surplus parts in assembly process statistically and by fit capability indices. The particular assembly process used in the research was Statistical Selective Assembly (SSA). Surplus parts in selective assembly could be reduced statistically or by using fit capability indices. A new algorithm was established in this thesis to reduce surplus parts statistically. This was accomplished by balancing the probability of holes and shafts in each group and reassigning the tolerance limits for each group. Flexible selective assembly method enabled the desired number of groups could be chosen to meet the required matchable degree in selective assembly. Two methods were developed to coordinate the adjustment of machining processes of holes and shafts so that the surplus parts could be reduced by enhancing a more precise fit between parts.
The first method was to predict the matchable degree of two processes, and adjust the machining processes accordingly to achieve the desired matchable degree. The second method was to determine the fit capability indices of an assembly process. When fit capability indices of a fit size were known, the manufacturer could adjust the machining processes of mating parts so that the required fit capability indices could be met.
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thesis