A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing
出版年份 2021 全文链接
标题
A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing
作者
关键词
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出版物
The International Journal of Advanced Manufacturing Technology
Volume 113, Issue 7-8, Pages 1943-1958
出版商
Springer Science and Business Media LLC
发表日期
2021-02-19
DOI
10.1007/s00170-021-06640-3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine learning for knowledge transfer across multiple metals additive manufacturing printers
- (2021) Sen Liu et al. Additive Manufacturing
- Zoning additive manufacturing process histories using unsupervised machine learning
- (2020) Sean P. Donegan et al. MATERIALS CHARACTERIZATION
- Processing parameters in laser powder bed fusion metal additive manufacturing
- (2020) J.P. Oliveira et al. MATERIALS & DESIGN
- Machine learning in additive manufacturing: State-of-the-art and perspectives
- (2020) C. Wang et al. Additive Manufacturing
- Energy Coupling Mechanisms and Scaling Behavior Associated with Laser Powder Bed Fusion Additive Manufacturing
- (2019) Jianchao Ye et al. ADVANCED ENGINEERING MATERIALS
- Uncertainty Quantification in Metallic Additive Manufacturing Through Physics-Informed Data-Driven Modeling
- (2019) Zhuo Wang et al. JOM
- Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice
- (2019) J.P. Oliveira et al. PROGRESS IN MATERIALS SCIENCE
- Coupling in situ experiments and modeling – Opportunities for data fusion, machine learning, and discovery of emergent behavior
- (2019) Michael D. Sangid CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE
- Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing
- (2018) Wentao Yan et al. COMPUTATIONAL MECHANICS
- Numerical modeling of melt-pool behavior in selective laser melting with random powder distribution and experimental validation
- (2018) Yu-Che Wu et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
- (2018) Fang Ren et al. Science Advances
- Understanding the physical metallurgy of the CoCrFeMnNi high-entropy alloy: an atomistic simulation study
- (2018) Won-Mi Choi et al. npj Computational Materials
- Melt-pool motion, temperature variation and dendritic morphology of Inconel 718 during pulsed- and continuous-wave laser additive manufacturing: A comparative study
- (2017) Simeng Li et al. MATERIALS & DESIGN
- Porosity testing methods for the quality assessment of selective laser melted parts
- (2016) Wessel W. Wits et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components
- (2016) Runze Huang et al. JOURNAL OF CLEANER PRODUCTION
- Micro porosity analysis in additive manufactured NiTi parts using micro computed tomography and electron microscopy
- (2016) Saeed Khademzadeh et al. MATERIALS & DESIGN
- A general-purpose machine learning framework for predicting properties of inorganic materials
- (2016) Logan Ward et al. npj Computational Materials
- Adaptive Strategies for Materials Design using Uncertainties
- (2016) Prasanna V. Balachandran et al. Scientific Reports
- A new computational intelligence approach in formulation of functional relationship of open porosity of the additive manufacturing process
- (2015) A. Garg et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Big Data of Materials Science: Critical Role of the Descriptor
- (2015) Luca M. Ghiringhelli et al. PHYSICAL REVIEW LETTERS
- Influence of defects on mechanical properties of Ti–6Al–4V components produced by selective laser melting and electron beam melting
- (2015) Haijun Gong et al. MATERIALS & DESIGN
- Density of additively-manufactured, 316L SS parts using laser powder-bed fusion at powers up to 400 W
- (2014) Chandrika Kamath et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing
- (2014) Gustavo Tapia et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Metal Additive Manufacturing: A Review
- (2014) William E. Frazier JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Effects of scan line spacing on pore characteristics and mechanical properties of porous Ti6Al4V implants fabricated by selective laser melting
- (2014) Sheng Zhang et al. MATERIALS & DESIGN
- Overview of modelling and simulation of metal powder bed fusion process at Lawrence Livermore National Laboratory
- (2014) W. King et al. MATERIALS SCIENCE AND TECHNOLOGY
- Porosity Measurements and Analysis for Metal Additive Manufacturing Process Control
- (2014) John A. Slotwinski et al. JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY
- Additive manufacturing: A framework for implementation
- (2013) Stephen Mellor et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Properties of open-cell porous metals and alloys for orthopaedic applications
- (2013) Gladius Lewis JOURNAL OF MATERIALS SCIENCE-MATERIALS IN MEDICINE
- A review on 3D micro-additive manufacturing technologies
- (2012) Mohammad Vaezi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Study on influential factors for process monitoring and control in laser aided additive manufacturing
- (2012) G. Bi et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Effects of processing parameters on microstructure and mechanical property of selective laser melted Ti6Al4V
- (2011) Bo Song et al. MATERIALS & DESIGN
- Microstructural and mechanical approaches of the selective laser melting process applied to a nickel-base superalloy
- (2011) T. Vilaro et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- A study of the microstructural evolution during selective laser melting of Ti–6Al–4V
- (2010) Lore Thijs et al. ACTA MATERIALIA
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