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Article
Publication date: 3 June 2019

Ting Liu, Yan-Long Cao, Qijian Zhao, Jiangxin Yang and Lujun Cui

The purpose of this paper is to carry out an assembly tolerance analysis by means of a combined Jacobian model and skin model shape. The former is based on small displacements…

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Abstract

Purpose

The purpose of this paper is to carry out an assembly tolerance analysis by means of a combined Jacobian model and skin model shape. The former is based on small displacements modeling of points using 6 × 6 transformation matrices of open kinematic chains in robotics. The latter easily models toleranced features with all kinds of geometric deviations.

Design/methodology/approach

This paper presents the procedure of performing tolerance analysis by means of the Jacobian model and skin model shape for assemblies. The point cloud-based discrete representative is able to model the actual toleranced surfaces instead of the ideal or associated ones in an assembly, which brings the simulation tools closer to reality.

Findings

The proposed method has the advantage of skin model shape which is suitable for geometric tolerances management along the product life cycle and contact analysis of kinematic small variations, as well as, with the Jacobian, enabling transformation of locally expressed parts deviations to globally expressed functional requirements. The result of the case study shows the accuracy of the method.

Research limitations/implications

The proposed approach has not been developed fully; other functional features such as the pyramid are still ongoing challenges.

Practical implications

It is an effective method for supporting design, manufacturing and inspection by providing a quantitative analysis of the effects of multi-tolerances on the final functional key characteristics and for predicting the quality level.

Originality/value

The paper is original in taking advantages of both Jacobian model and skin model shape to consider all geometric tolerances in assembly.

Details

Assembly Automation, vol. 39 no. 2
Type: Research Article
ISSN: 0144-5154

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