Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Paul Witherell ◽  
Shaw Feng ◽  
Timothy W. Simpson ◽  
David B. Saint John ◽  
Pan Michaleris ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Metal Powder ◽  
Manufacturing Process ◽  
Process Model ◽  
Model Development ◽  
Process Models ◽  
Powder Bed Fusion ◽  
Powder Bed ◽  
Future Work ◽  
Am Processes

In this paper, we advocate for a more harmonized approach to model development for additive manufacturing (AM) processes, through classification and metamodeling that will support AM process model composability, reusability, and integration. We review several types of AM process models and use the direct metal powder bed fusion AM process to provide illustrative examples of the proposed classification and metamodel approach. We describe how a coordinated approach can be used to extend modeling capabilities by promoting model composability. As part of future work, a framework is envisioned to realize a more coherent strategy for model development and deployment.

Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models

2014 ◽  
Author(s):  
Paul Witherell ◽  
Shaw C. Feng ◽  
Timothy W. Simpson ◽  
David B. Saint John ◽  
Pan Michaleris ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Modeling And Simulation ◽  
Model Development ◽  
Process Models ◽  
Loop Control ◽  
Powder Bed ◽  
Potential Benefits ◽  
Future Work ◽  
Application Specific ◽  
Am Processes

Though the advanced manufacturing capabilities offered by additive manufacturing (AM) have been known for several decades, industry adoption of AM technologies has been relatively slow. Recent advances in modeling and simulation of AM processes and materials are providing new insights to help overcome some of the barriers that have hindered adoption. However, these models and simulations are often application specific, and few are developed in an easily reusable manner. Variations are compounded because many models are developed as independent or proprietary efforts, and input and output definitions have not been standardized. To further realize the potential benefits of modeling and simulation advancements, including predictive modeling and closed-loop control, more coordinated efforts must be undertaken. In this paper, we advocate a more harmonized approach to model development, through classification and metamodeling that will support model composability, reusability, and integration. We review several types of AM models and use direct metal powder bed fusion characteristics to provide illustrative examples of the proposed classification and metamodel approach. We describe how a coordinated approach can be used to extend modeling capabilities by promoting model composability. As part of future work, a framework is envisioned to realize a more coherent strategy for model development and deployment.

scholarly journals 3D Modeling of the Solidification Structure Evolution of Superalloys in Powder Bed Fusion Additive Manufacturing Processes

Metals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1995
Author(s):  
Laurentiu Nastac
Keyword(s):  
Additive Manufacturing ◽  
Process Model ◽  
Single Layer ◽  
Multiscale Model ◽  
Solidification Structure ◽  
Grain Structure ◽  
Structure Evolution ◽  
Powder Bed Fusion ◽  
Powder Bed ◽  
Am Processes

Recently, a few computational methodologies and algorithms have been developed to simulate the microstructure evolution in powder bed fusion (PBF) additive manufacturing (AM) processes. However, none of these have attempted to simulate the grain structure evolution in multitrack, multilayer AM components in a fully 3D transient mode and for the entire AM geometry. In this work, a multiscale model, which consists of coupling a transient, discrete-source 3D AM process model with a 3D stochastic solidification structure model, was applied to quickly, efficiently, and accurately predict the grain structure evolution of IN625 alloys during Laser Powder Bed Fusion (LPBF). The capabilities of this model include studying the effects of process parameters and part geometry on solidification conditions and their impact on the grain structure formation within multicomponent alloy parts processed via AM. Validation was accomplished based on single-layer LPBF IN625 benchmark experiments, previously performed and analyzed at the National Institute of Standards and Technology (NIST), USA. This modeling approach can also be used to quantitatively predict the solidification structure of Ti-6Al-4V alloys in electron beam AM processes.

Fast prediction of thermal distortion in metal powder bed fusion additive manufacturing: Part 1, a thermal circuit network model

2018 ◽  
Vol 22 ◽  
pp. 852-868 ◽  
Author(s):  
Hao Peng ◽  
Morteza Ghasri-Khouzani ◽  
Shan Gong ◽  
Ross Attardo ◽  
Pierre Ostiguy ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Metal Powder ◽  
Network Model ◽  
Thermal Distortion ◽  
Powder Bed Fusion ◽  
Powder Bed ◽  
Thermal Circuit ◽  
Fast Prediction

scholarly journals A multi-scale multi-physics modeling framework of laser powder bed fusion additive manufacturing process

2018 ◽  
Vol 73 (3) ◽  
pp. 151-157 ◽  
Author(s):  
Jing Zhang ◽  
Yi Zhang ◽  
Weng Hoh Lee ◽  
Linmin Wu ◽  
Hyun-Hee Choi ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Process ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Modeling Framework ◽  
Powder Bed ◽  
Multi Scale ◽  
Physics Modeling
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