Sentence examples for by the welding process from inspiring English sources

Numerical modeling of TWBs is more complicated than the modeling of conventional sheet metal forming processes primarily due to the change of mechanical properties caused by the welding process and because the welded blanks are not uniform in thickness and/or material.

This captures the cyclic mechanical response which a material undergoes during the thermo-mechanical cycles imposed by the welding process.

The fatigue lives of welded section and its surrounding material could be greatly affected by the welding process.

Tests on both small and large specimens were carried out to evaluate the effects, on fatigue resistance, of the residual stresses produced by the welding process.

The fatigue strength of welded joints is particularly sensitive to the geometry of the weld bead and the stress fields which could potentially be introduced by the welding process or by other microscopic defects introduced by the welding.

Additionally, the changing tendency of the weld geometry affected by the welding process parameters is analyzed by simulation and the results are found to be consistent with the theoretical and experimental data.

Microstructures in the HAZ and weld metal are extremely complex and controlled by the interaction of thermal fields produced by the heat input from the welding process and by the phase transformations and grain growth characteristics of the materials being welded.

Every manufacturing step induces residual stresses in the component which can be released by the heat of the welding process, while further residual stresses are introduced into the welded parts upon cooling.

Generally, the quality of a weld joint is strongly influenced by process parameters during the welding process.

The trajectory of the torch is modified continuously to compensate for real-time changes such as warping caused by heat input during the welding process.

The main functions of the proposed model on this article are: simulate the process for operators training purposes, improve the performance of the welding process by identifying regions which are insensible to variations on input parameters and finally increase flexibility ofa robotic welding cell.