Minimization of distortion during Gas Metal Arc welding process used for hydraulic shearing machine pressure plate square
By: Vyas, Shashin M
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Contributor(s): Shah, Sagar I | Acharya, G. D.
Publisher: New Delhi STM Journals 2018Edition: Vol. 8(3), Sep-Dec.Description: 33-43p.Subject(s): Mechanical EngineeringOnline resources: Click here
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Recent trends in mechanical engineering & technology (TMET)Summary: The Gas Metal Arc Welding process is widely used in many appliances because of its versatility. The change of shape and dimensions that occur after welding is known as distortion that leads to undesirable results. And to overcome this, it requires reducing the distortion within the limits. A large number of resources are used recently for reworking the weld. But it causes higher cost of production and delay for completing the work. Higher amount of residual stresses may generate if the distortion is controlled physically during welding. This work is aimed to predict and reduce distortion with optimization of GMAW process parameters such as welding current, welding speed and wire feed rate. Using three levels three factors full factorial method, effects of process parameters can be determined and the parameters can be optimized. Simufact Welding V6.0 Software is used in this work for Finite element analysis of welding distortion. A confirmatory test has also been performed for validation of the result obtained by Simufact Welding V6.0. Prediction helps mitigate the cost of experiments and provides better accuracy for obtaining the results such as, temperature, heat distribution, stress distribution and distortion.
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The Gas Metal Arc Welding process is widely used in many appliances because of its versatility. The change of shape and dimensions that occur after welding is known as distortion that leads to undesirable results. And to overcome this, it requires reducing the distortion within the limits. A large number of resources are used recently for reworking the weld. But it causes higher cost of production and delay for completing the work. Higher amount of residual stresses may generate if the distortion is controlled physically during welding. This work is aimed to predict and reduce distortion with optimization of GMAW process parameters such as welding current, welding speed and wire feed rate. Using three levels three factors full factorial method, effects of process parameters can be determined and the parameters can be optimized. Simufact Welding V6.0 Software is used in this work for Finite element analysis of welding distortion. A confirmatory test has also been performed for validation of the result obtained by Simufact Welding V6.0. Prediction helps mitigate the cost of experiments and provides better accuracy for obtaining the results such as, temperature, heat distribution, stress distribution and distortion.
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