A New Approach to Control Assembly Variation in Selective Assembly Using Hierarchical Clustering
Complex assembly constitutes more than two parts. Tolerances assigned to individual components decide precision of assembly. Clearance and variation resulted in assembly decides precision of assembly and affect performance during working of assembly. During high precision mechanical assemblies, many parts become surplus due to more variation on component tolerances. Then, selective assembly is only solution to control the clearance variation. In this paper, a new methodology of hierarchical clustering approach is developed to predict the precision in assembly variation so that an assembly can confirm the desired clearance specifications. A valve train assembly of an IC engine that consists of cam-tappet-stem, is considered for the case analysis. The proposed methodology can be implemented in any number of components in real situations.
KeywordsSelective assembly Clustering Clearance variation High precision assembly
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