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Overview of modelling and simulation of metal powder bed fusion process at Lawrence Livermore National Laboratory

Journal Article · · Materials Science and Technology
The metal laser powder bed fusion additive manufacturing process uses high power lasers to build parts layer upon layer by melting fine metal powders. Qualification of parts produced using this technology is broadly recognised as a significant challenge. Physics based process models have been identified as being foundational to qualification of additively manufactured metal parts. In the present article, a multiscale modelling strategy is described that will serve as the foundation upon which process control and part qualification can be built. This includes a model at the scale of the powder that simulates single track/single multilayer builds and provides powder bed and melt pool thermal data. A second model computationally builds a complete part and predicts manufactured properties (residual stress, dimensional accuracy) in three dimensions. Finally, modelling is tied to experiment through data mining.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1502019
Alternate ID(s):
OSTI ID: 1502045
Report Number(s):
LLNL-JRNL-656041; LLNL-JRNL-694040; 822409
Journal Information:
Materials Science and Technology, Journal Name: Materials Science and Technology Journal Issue: 8 Vol. 31; ISSN 0267-0836
Publisher:
Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English

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Laser‐Induced Keyhole Defect Dynamics during Metal Additive Manufacturing journal August 2019
Laser‐Induced Keyhole Defect Dynamics during Metal Additive Manufacturing journal October 2019
Defects, Process Parameters and Signatures for Online Monitoring and Control in Powder-Based Additive Manufacturing book October 2017
Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel journal September 2017
Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review journal October 2017
Residual stress prediction in selective laser melting: A critical review of simulation strategies journal August 2019
Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support journal January 2016
Overview of Materials Qualification Needs for Metal Additive Manufacturing journal January 2016
Non-isothermal Phase-Field Modeling of Heat–Melt–Microstructure-Coupled Processes During Powder Bed Fusion journal April 2020
Thermo-mechanical simulations of selective laser melting for AlSi10Mg alloy to predict the part-scale deformations journal September 2019
Subsurface Cooling Rates and Microstructural Response during Laser Based Metal Additive Manufacturing journal February 2020
Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults journal January 2020
Polymer powder bed fusion surface texture measurement journal January 2020
A review of computational modeling in powder-based additive manufacturing for metallic part qualification journal November 2018
In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion journal July 2018
A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations journal February 2019
Numerical 3D simulation of wire deposition process to predict distortion of parts journal October 2019
Development of Bulk Metallic Glass Matrix Composites (BMGMC) by Additive Manufacturing: Modelling and Simulation – A Review: Part A journal June 2019
Development of Bulk Metallic Glass Matrix Composites (BMGMC) by Additive Manufacturing: Modelling and Simulation – A Review: Part B journal June 2019

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