Microstructure and the Local Mechanical Properties of the 3D Printed Austenitic Stainless Steel at Different Temperatures of the Printer's Chamber: Computer Simulation
Metal three-dimensional printing technology is a promising manufacturing method, especially in the case of complex shapes. The quality of the printed product is still a challenging issue for mechanical applications. The anisotropy of the microstructure, imperfections, and residual stress are some of the issues that diminish the mechanical properties of the printed sample. A computer simulation could investigate some technical details. This research has studied the metal three-dimensional printing of austenitic stainless steel to address austenite microstructure and local yield strength at different temperatures of the printer's chamber with computer simulation. Two computational codes were developed in Visual Basic 2015 to simulate the local heating/cooling curve and subsequent austenite grain topology. A stochastic computational code (Cellular Automata) was developed to simulate austenite grain morphology based on calculated thermal history. The Hall-Pitch equation was then used to estimate the yield strength of the printed sample. These codes were used to simulate the effect of the printer's chamber temperature on microstructure and subsequent yield strength. The simulation shows that the austenite grain topology is more columnar at a lower temperature, and the percentage of the equiaxed zone is higher at a higher chamber temperature. Almost a fully equiaxed austenite microstructure will be achieved at an 800°C chamber temperature, but the last printed layer is still columnar and can be removed by cutting. The simulation was used to estimate the grain size of the as-printed sample. The estimated local austenite grain size and the local yield strength in the equiaxed regions ranged from 15 to 30 μm and 270 to 330 MPa at a printer's chamber temperature of 800°C in this simulation.
Author Information
Hosseinzadeh, Hamed
Henry M. Rowan College of Engineering, Rowan University, Glassboro, NJ, US
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