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Due to the significant difference between the welding process and the existing deposition processes, the authors have developed a dedicated technology, including slicing/planning, system implementation, and post-processing for RP using GMAW as the deposition process.
Response surface methodology (RS M is employed to develop mathematical relationships between the welding process parameters and the output variables of the weld joint to determine the welding input parameters that lead to the desired weld quality.
The application of DoE, evolutionary algorithms, and computational network are widely used to develop a mathematical relationship between the welding process input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality.
In this study, the neural network should ideally be able to learn and understand the interaction between the welding process parameters.
A study [21] used RSM to establish the mathematical models of relations between the welding process parameters and the weld strength.
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The welding process begins when the frictional heat developed between the shoulder and the surface of the welded material softens the material, resulting in severe plastic deformation.
This weld properties degradation was due to incomplete dilution between the metals and the effect of the tool position in the welding process.
It sets the limit between globular and spray arc and determines the working conditions of the welding process, as suggested by Ponomarev et al. (2003) in Figure 8.
c SEM image after the welding process was completed.
After the welding process, specimens were prepared for mechanical tests.
Fig. 5 SAXS intensity profiles for PE-80, PE-100, and PE-80/PE-100 welded specimens, received immediately after the welding process and in 1 year after the welding.
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