Adhesive Bond Discrepancies Identification with Hybrid Dynamic Parameter Method

Abstract:

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With the implementation of crash-toughened adhesives in automotive industry, adhesive bonding has become one effective joining technology instead of resistance spot welding especially for AHSS materials because of its better fatigue performance and greater flexibility. However, while chisel test has been widely used for resistance weld inspection, no practical inspection method is available for adhesive bond discrepancies identification. The inspection method we need for use in a high-volume, low-cost production environment should be fast, convenient, nondestructive, cost-effective, and able to effectively assure some minimum acceptable level of joint quality. The method we finally conducted was based on the weld-bonding process of different adhesive bonding joints by acquiring and analyzing the dynamic welding parameters’ signal curves such as the electrode displacement and dynamic resistance from different sensors installed onto the welding gun. Based on the integrated inspection system, lots of experiments and analysis showed that this inspection method is basically feasible, that is, it could identify different adhesive bond discrepancies qualitatively and accurately. Especially, the on-line inspection is conducted before the complete curing of joints in paint shop. If the inspection results are nonideal and some discrepancies are detected, the further repairing work is much easier and cost-effective. So the inspection method has a good potential especially applied in production line. The findings in this study provide the guidelines for using adhesive bonding AHSS materials in automotive industry.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

1239-1243

DOI:

10.4028/www.scientific.net/AMM.121-126.1239

Citation:

X. Zhao et al., "Adhesive Bond Discrepancies Identification with Hybrid Dynamic Parameter Method", Applied Mechanics and Materials, Vols. 121-126, pp. 1239-1243, 2012

Online since:

October 2011

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Price:

$35.00

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