Abstract

The technique of solving the inverse heat conduction problem (IHCP) to find the steady state welding conditions by observable or desired weld features is outlined. The objective function is an augmented sum of weighted squares of differences in value between calculated and measured temperature-related functions, constraints and regularisation of unknown parameters. The algorithm for finding the minimum of the objective function is based on the Gauss-Newton method. As examples, the heat input distributions during laser edge welding of aluminium alloys AC 120 (authors’ experiments), electron beam welding of low-carbon and stainless steel and as well as laser welding of aluminium alloy Al-Mg-Li-Cu-Mn-Zn (experimental data found in the published literature) (thin sheets and thick plates) are found. The weld interface, molten pool boundary and weld texture orientation have been used as the temperature-related functions. The results of simulation are directly compared with the experimental evidence. The suggested technique allows evaluating the heat efficiency of the welding process. It can be applied to an optimisation problem.

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