Computational modeling of the effects of process parameters on the grain morphology of additively manufactured stainless steel

被引:0
作者
Saeed Ataollahi
MohammadBagher Mahtabi
Aref Yadollahi
Mohammad J. Mahtabi
机构
[1] The University of Tennessee at Chattanooga,Department of Mechanical Engineering
[2] The University of Tennessee at Chattanooga,Center of Excellence for Applied Computational Science and Engineering (SimCenter)
[3] Purdue University Northwest,Department of Mechanical and Civil Engineering
来源
The International Journal of Advanced Manufacturing Technology | 2023年 / 125卷
关键词
Additive manufacturing; Directed energy deposition; Grain morphology; Microstructure; Kinetic Monte Carlo Simulation; Potts model;
D O I
暂无
中图分类号
学科分类号
摘要
Identifying the suitable process parameters is one of the necessities to control the microstructure, and consequently various properties of additively manufactured (AM) parts. To obtain suitable process parameters, it is crucial to understand the effects of each process parameter on various aspects of microstructure of the printed material. In this work, we have conducted a parametric study on the effects of AM process parameters on the grain morphology of the metallic parts, fabricated via directed energy deposition (DED), through the Kinetic Monte Carlo (KMC) simulations. The characteristics of the melt pool and the heat-affected zone (HAZ) were incorporated into the models, and microstructural effects of altering the layer thickness, hatch spacing, scanning speed, and laser power were investigated. We used the Rosenthal equation, to predict the geometry of the melt pool and heat-affected zone formed by certain laser powers. The resulting grain morphology (i.e. the grain size and inclination) was analyzed for a large number of combinations of different process parameters. It was observed that by increasing the laser power, the number of fine and equiaxed grains decreases. On the other hand, increasing the scanning speed had a significant effect on formation of more fine grains in the final model.
引用
收藏
页码:3513 / 3526
页数:13
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[11]  
DebRoy T(2022)Microstructure-based MultiStage fatigue modeling of NiTi alloy fabricated via direct energy deposition (DED) J Mater Eng Perform 31 4761-190
[12]  
Raghavan N(2018)Characterization of texture and grain boundary character distributions of selective laser melted Inconel 625 alloy Mater Charact 143 182-235
[13]  
Rodgers TM(2016)Effect of processing parameters on microstructure and tensile properties of austenitic stainless steel 304L made by directed energy deposition additive manufacturing Acta Mater 110 226-734
[14]  
Madison JD(2016)Review of mechanical properties of Ti-6Al-4V made by laser-based additive manufacturing using powder feedstock JOM 68 724-12
[15]  
Tikare V(2017)High-throughput stochastic tensile performance of additively manufactured stainless steel J Mater Process Technol 241 1-622
[16]  
Bagheri A(2017)Effect of sample preparation on the microstructural evaluation of Al–GNPs nanocomposites Metallogr Microstruct Anal 6 619-68
[17]  
Fang X(2017)Process-structure linkages using a data science approach: application to simulated additive manufacturing data Integr Mater Manuf Innov 6 54-511
[18]  
Wang Z(2014)Investigation of effect of process parameters on multilayer builds by direct metal deposition Appl Therm Eng 73 500-295
[19]  
Palmer TA(2015)Scanning speed effect on mechanical properties of Ti-6Al-4V alloy processed by electron beam additive manufacturing Procedia Manuf 1 287-790
[20]  
Beese AM(2016)Understanding the microstructure formation of Ti-6Al-4V during direct laser deposition via in-situ thermal monitoring JOM 68 778-29