Finite Numerical Simulation Of Temperature In Feeding Powder Laser Cladding

Laser cladding is a surface treatment technology with good prospect. As an important surface modification and rapid prototyping method, it has drawn more and more attention. The melt pool of laser cladding has a very smaller size and high temperature .Moreover, it contains a very complex physical process, microcosmic structure generation processes, the latent heat and rapid solidification processes, thus, the temperature distribution is very difficult to measure by using experimental methods. Experts and scholars at home and abroad have drawn attention to simulate the temperature field of the laser cladding with using the numerical simulation method.The main content of the paper is listed as follows:1. When the thickness of cladding layers is thin, dealing with the process of the multiple feeding powder laser cladding is suitable using a Gaussian heat source model without considering the penetration of laser heat source. The thickness of cladding layers of this paper is 1.01 mm, and selecting of Gaussian heat source model is fit as the mode of laser heat source.2. The dynamical process of feeding powder is realized by using Element Birth and Death,and the air convection coefficient is considered by adding certain heat flux on the surface of the SURF152, which is the surface thermal effect unit establishing on the cladding layers.3. The temperature distribution of the laser cladding is gotten by using ANSYS. After analyzing the temperature distribution of each step, the temperature of the initial and the end on the cladding is very high, and the high-temperature phenomenon is called as the end effect.4. There are two ways to solve the problem: the one is external materials; and the other is reserving plan. This paper makes a simulation again in order to make a comparison in the same conditions and geometrical model by reserving plan. Comparing the two simulation results, the bad effect can be perfectly solved by the reserving plan. 5. The simulation is successfully validated by the experiment.