Title: Modelling and analysis of assembly clearance by size and form tolerances in selective assembly using clustering algorithm

Authors: S.V. Chaitanya; A.K. Jeevanantham

Addresses: Department of Manufacturing, School of Mechanical Engineering, VIT University, Vellore – 632014, India ' Department of Manufacturing, School of Mechanical Engineering, VIT University, Vellore – 632014, India

Abstract: In this paper, a new method in selective assembly to minimise the assembly variation due to the size and form tolerances of the mating components is proposed. The radial assembly of hole and shaft is analysed with the form tolerances of circularity and straightness respectively. The mating components are segregated into selective groups with respect to their size as well as form tolerance deviations. The assembly clearance between any pair of mating components is calculated by the Euclidean distance measure. A K-mean clustering algorithm has been used to club the mating components and clusters the assemblies according to the required assembly fit specification based on the proximity of mating data points. A case example with hole and shaft assembly has been successfully used to explain the application of selective assembly based on size and form tolerance deviations.

Keywords: selective assembly; form tolerance; clustering algorithm; radial assembly.

DOI: 10.1504/IJPQM.2018.091792

International Journal of Productivity and Quality Management, 2018 Vol.24 No.2, pp.196 - 218

Received: 03 Dec 2016
Accepted: 04 Mar 2017
Published online: 16 May 2018 *

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