3D finite element model of dynamic material behaviors for multilayer ultrasonic metal welding
3D finite element model of dynamic material behaviors for multilayer ultrasonic metal welding
复制标题
多层超声波金属焊接动态材料行为的 3D 有限元模型
DOI:
10.1016/j.jmapro.2020.12.039
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发表时间:
2021
影响因子:
6.2
通讯作者:
Ding, Hongtao
中科院分区:
文献类型:
--
作者:
Shen, Ninggang;Samanta, Avik;Cai, Wayne W.;Rinker, Teresa;Carlson, Blair;Ding, Hongtao
Ultrasonic metal welding (UMW) has been widely applied as a high throughput solid-state joining technology for multilayers of sheet metal. During a typical UMW process, multilayer work materials are mechanically compressed by a knurl-patterned horn (also known as a sonotrode) onto an anvil tool, and a simultaneous in-plane sliding is applied to the horn at an ultrasonic frequency (20 kHz or higher) to help form the weld at the material interfaces. There is a great challenge in modeling and simulating the dynamic behavior of the work material and the whole weld formation process is subject to ultrasonic mechanical loadings imposed by the knurl-patterned horn tool. In this work, finite element (FE) models are developed to simulate the multilayer UMW process using knurl-patterned tools by directly applying the ultrasonic vibration as a model input. For a short weld duration of 0.1∼0.5 s, a high-fidelity FE modeling approach is developed using ABAQUS/Explicit to simulate the dynamic material response under the 20 kHz horn vibration. For an extended long welding duration of approximately 1.0 s, a computationally efficient hybrid approach is developed using both ABAQUS/Explicit and DEFORM-3D in order to leverage the strengths of each software package. The developed models are validated using experimental data of dynamic welding force, temperature, and weld geometry from in-situ process measurements of UMW. The 3D FE models developed in this study are the most comprehensive solution to date to simulate the complex material response subject to UMW process conditions and provide engineering guidance for the design of UMW applications.
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影响因子:
6.3
作者:
Hui-juan Huang;Jian Chen;Y. Lim;Xiaohua Hu;Jiahao Cheng;Zhili Feng;Xin Sun
通讯作者:
Hui-juan Huang;Jian Chen;Y. Lim;Xiaohua Hu;Jiahao Cheng;Zhili Feng;Xin Sun
影响因子:
8.4
作者:
Long, Yangyang;He, Bo;Twiefel, Jens
通讯作者:
Twiefel, Jens
DOI:
10.1007/s00170-019-03582-9
发表时间:
2019-07
期刊:
The International Journal of Advanced Manufacturing Technology
影响因子:
--
作者:
A. Samanta;S. Xiao;N. Shen;Jingjing Li;Hongtao Ding
通讯作者:
A. Samanta;S. Xiao;N. Shen;Jingjing Li;Hongtao Ding
DOI:
--
发表时间:
1999
期刊:
影响因子:
--
作者:
Takehiko Watanabe;Atsushi Yanagisawa;S. Konuma;A. Yoneda;O. Ohashi
通讯作者:
O. Ohashi
DOI:
--
发表时间:
2022
期刊:
『愛媛大学法文学部論集 社会科学編』
影响因子:
--
作者:
Dadabaev Timur;Shinohara Kenji;Djalilova Nigora;関ふ佐子;山城一真;梶原克彦・奈良岡聰智
通讯作者:
梶原克彦・奈良岡聰智