Title: Analysis of aluminium brazing sheet differential scanning calorimetry data

Authors: Michael J. Benoit; Mark A. Whitney; Mary A. Wells; Alexander Penlidis; Stephen F. Corbin; Sooky Winkler

Addresses: Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1 ' Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1 ' Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1 ' Department of Chemical Engineering, Institute for Polymer Research, University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1 ' Department of Mechanical Engineering, Dalhousie University, 1360 Barrington St., Halifax, NS, Canada B3H 4R2 ' Dana Canada Corporation, 656 Kerr St., Oakville, ON, Canada L6K 3E4

Abstract: Differential scanning calorimetry (DSC) measurements have provided insight into metallurgical reactions which can occur during joining of Al brazing sheet. Researchers have claimed that DSC is sensitive enough to differentiate between brazing sheets with different initial conditions; however, no rigorous proof of this claim has been given. The sensitivity of DSC measurements, as measured by changes in melting peak area, to experimental factors such as DSC sample preparation, sample orientation during testing and starting sheet temper has been investigated. A 23 factorial design was used, and the results were analysed using analysis of variance. The results showed that only the sheet punching direction during sample preparation had a statistically significant influence on the DSC measurements. Microstructure analysis revealed that punching on the core layer of the sheet led to extra clad alloy on the side of the sample, which melted during heating and contributed to a greater measured melting peak area.

Keywords: clad aluminium brazing sheet; design of experiments; differential scanning calorimetry; error analysis; experimental setup.

DOI: 10.1504/IJEDPO.2017.087582

International Journal of Experimental Design and Process Optimisation, 2017 Vol.5 No.3, pp.172 - 189

Received: 05 Jul 2016
Accepted: 25 Mar 2017

Published online: 21 Oct 2017 *

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