Temperature Field Numerical Analysis Mode and Verification of Quenching Heat Treatment Using Carbon Steel in Rotating Laser Scanning

Abstract

Temperature history and hardening depth are experimentally characterized in the rotational laser hardening process for an AISI 1045 medium carbon steel specimen. A three-dimensional finite element model is proposed to predict the temperature field distribution and hardening zone area. The laser temperature field is set up for an average distribution and scanned along a circular path. Linear motion also takes place alongside rotation. The prediction of hardening area can be increased by increasing the rotational radius, which in turn raises the processing efficiency. A good agreement is found between the experimental characterized hardness value and metallographic composition. The uniformity of the hardening area decreases with increasing laser scanning speed. The increased laser power input could help to expand the hardening depth.

Adaptive thermal model for real-time peak temperature and cooling rate prediction in laser material processing

“…In addition, the prediction accuracy, with most experiments, is within the thermal camera accuracy of 1%. This prediction accuracy is a significant improvement compared to the peak temperature prediction accuracy between 3.5% and 7% found in literature [9,[44][45][46]. Furthermore, the cooling rate prediction accuracy of the adaptive thermal model is between 1.4% and 15.0%.…”

“…The peak temperature prediction accuracy is between 1.2% and 6.1%. In comparison, other researchers state that their thermal models predict the peak temperature of the LHT process with an accuracy between 3.5% and 7% [9,[44][45][46]. Hence, the prediction accuracy of the thermal model developed in Chapter 3, even without adaptation, is already better compared to these other models.…”

Analysis of the Advantages of Laser Processing of Aerospace Materials Using Diffractive Optics

“…Theoretical prediction of thermal processes allows us to formulate the basic requirements for the parameters of the laser irradiation in order to improve efficiency. The increasing capabilities of computing tools justify the widespread use of numerical methods for solving the most complex tasks of laser heating, including unsteady three-dimensional problems of nonlinear thermal conductivity [31,32].…”