Sensor placement strategy for fixture variation diagnosis of compliant sheet metal assembly process

Abstract

Purpose

The purpose of this paper is to focus on optimal sensor placement for the fixture variation diagnosis of compliant sheet metal assembly process. Fixture variations are the main sources for complex automotive body dimensional failures. An effective measurement strategy can help exactly and timely diagnose these fixture variations. Research on sensor placement strategy of compliant sheet metal assembly process is not much stated formerly.

Design/methodology/approach

The impact principle of fixture variations is analyzed to set up the relationship between the assembly variation and fixture variations applying the method of influence coefficients and the effective independence (EI) method is used to find the optimal sensor positions based on the impact principle analysis of fixture variations.

Findings

The obtained fixture variation sensitivity matrix describes the influence of fixture variations to compliant sheet metal assembly variation and can be used for diagnosing fixture variations. The EI method can effectively solve the optimal sensor positions for compliant sheet metal assembly by a case demonstration.

Originality/value

The proposed method can solve the sensor placement of online assembly station for diagnosing fixture variations. It takes the compliant characteristics of sheet metal parts into account and the sensor information has much greater diagnosability than that from applying other methods.

Citation

Jin, S., Yu, K., Lai, X. and Liu, Y. (2009), "Sensor placement strategy for fixture variation diagnosis of compliant sheet metal assembly process", Assembly Automation, Vol. 29 No. 4, pp. 358-363. https://doi.org/10.1108/01445150910987772