Volume 1, 2014
|Number of page(s)||13|
|Published online||28 October 2014|
Experimental and theoretical investigations on temperature distribution at the joint interface for copper joints using ultrasonic welding
Associate Professor, Department of Production Engineering, PSG College of Technology, Coimbatore
* e-mail: firstname.lastname@example.org
Accepted: 4 October 2014
Ultrasonic welding is a solid-state joining process that produces joints by the application of high frequency vibratory energy in the work pieces held together under pressure without melting. Copper and its alloys are extensively used in electrical and electronic industry because of its excellent electrical and thermal properties. This paper mainly focused on temperature distribution and the influence of process parameters at the joint interface while joining copper sheets using ultrasonic welding process. Experiments are carried out using Cu sheets (0.2 mm and 0.3 mm thickness) and the interface temperature is measured using Data Acquisition (DAQ) System (thermocouple) and thermal imager. Numerical and finite element based model for temperature distribution at the interface are developed and solved the same using Finite Difference Method (FDM) and Finite Element Analysis (FEA). The results obtained from FDM and FEA model shows similar trend with experimental results and are found to be in good agreement.
Key words: Ultrasonic welding / Temperature distribution / Finite difference method / Finite element analysis / Mathematical modeling
© S. Elangovan, Published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.