Surface morphology refinement and Laves phase control of plasma arc additively manufactured Inconel 718 via an alternating magnetic field

Zheng, Yi; Cao, Lei; Wang, Jie; Xie, Jingren; Chen, Jieshi; Wang, Daqing; Wang, Shuai; Xu, Jijin; Lu, Hao

doi:10.1016/j.matdes.2022.111161

Cited by 14 publications

(1 citation statement)

References 42 publications

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“…In response to the above problems, scholars have proposed the adoption of measures such as a steady magnetic field, an electromagnetic compound field, ultrasonic vibration, mechanical vibration, etc., to change the flow behavior of the laser melt pool [9][10][11][12]. Particularly, the steady magnetic field's regulating effect on the laser melt pool can be applied in many areas as an auxiliary technology with outstanding features, such as non-contact, non-pollution, controllability, and various combinations.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Dynamic Evolution Mechanism of the Steady Magnetic Field on the Internal Flow Behavior of a Laser Melting Pool

Xie

Wang

et al. 2023

Metals

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A 2D model of laser melting consisting of heat transfer, hydrodynamic flow, surface tension, and a free surface motion was established. A physical field simulation of the laser melting process was performed, and the effect of steady magnetic field parameters on the internal flow and temperature fields of the melt pool was analyzed and validated by experiments. The results show that the steady magnetic field can suppress the melt pool flow rate, but slightly influences its temperature field, and with an increase in the magnetic field strength, the ripples on the melting surface decrease with increasing magnetic flux density. Compared with the molten pool depth experiment results, the simulation molten pool depth was 792 μm, representing a difference in value of 13.5%. The surface ripples of the molten pool fluctuated greatly in the absence of a magnetic field, while the surface ripples were suppressed when the magnetic flux density was 2T. This is consistent with the simulation results, thus effectively demonstrating the simulation model’s accuracy.

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Section: Introductionmentioning

confidence: 99%