Simulation of the influence of temperature-dependent material parameters on the temperature evolution in laser micro-spot welding of copper

Author(s):  
Manuel Mattern ◽  
Andreas Ostendorf
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Dimitri Rothermel ◽  
Thomas Schuster ◽  
Roland Schorr ◽  
Martin Peglow

Accelerated cooling (ACC) is a key technology in producing thermomechanically controlled processed (TMCP) steel plates. In a TMCP process, hot plates are subjected to a strong cooling resulting in a complex microstructure leading to increased strength and fracture toughness. The microstructure, residual stresses, and flatness deformations are strongly affected by the temperature evolution during the cooling process. Therefore, the full control (quantification) of the temperature evolution is essential regarding plate design and processing. It can only be achieved by a thermophysical characterization of the material and the cooling system. In this paper, the focus is on the thermophysical characterization of the material properties which govern the heat conduction behavior inside of the plates. Mathematically, this work considers a specific inverse heat conduction problem (IHCP) utilizing inner temperature measurements. The temperature evolution of a heated steel plate passing through the cooling device is modeled by a 1D nonlinear partial differential equation with temperature-dependent material parameters which describe the characteristics of the underlying material. Usually, the material parameters considered in IHCPs are often defined as functions of the space and/or time variables only. Since the measured data (the effect) and the unknown material properties (the cause) depend on temperature, the cause-to-effect relationship cannot be decoupled. Hence, the parameter-to-solution operator can only be defined implicitly. By proposing a parametrization approach via piecewise interpolation, this problem can be resolved. Lastly, using simulated measurement data, the presentation of the numerical procedure shows the ability to identify the material parameters (up to some canonical ambiguity) without any a priori information.


2020 ◽  
Vol 47 ◽  
pp. 535-540 ◽  
Author(s):  
Daan Waanders ◽  
Javad Hazrati Marangalou ◽  
Matthäus Kott ◽  
Sabrina Gastebois ◽  
Johan Hol

2003 ◽  
Author(s):  
Lijun Xu ◽  
Jamil A. Khan

A comprehensive axisymmetric model of the coupled thermal-electrical-mechanical analysis predicting weld nugget development and residual stresses for the resistance spot welding process of Al-alloys is developed. The model estimates the heat generation at the faying surface, the workpiece-electrode interface, and the Joule heating of the workpiece and electrode. The phase change due to melting in the weld pool is considered. The contact area and its pressure distribution at both the faying surface and the electrode-workpiece interface are determined from a coupled thermal-mechanical model using a finite element method. The knowledge of the interface pressure provides accurate prediction of the interfacial heat generation. For the numerical model, temperature dependent thermal, electrical and mechanical properties are used. The proposed model can successfidly calculate the nugget diameter and thickness, and predict the residual stresses and the elastic-plastic deformation history. The calculated nugget shape and the deformation of sheets based on the model are compared with the experimental data. The computed residual stresses approach the distribution of experimental measurement of the residual stress.


2019 ◽  
Vol 6 (18) ◽  
pp. 1970114
Author(s):  
Jeong‐Hwan Park ◽  
Jun‐Yeob Lee ◽  
Mun‐Do Park ◽  
Jung‐Hong Min ◽  
Je‐Sung Lee ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document