Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model
出版年份 2019 全文链接
标题
Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model
作者
关键词
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出版物
JOM
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-09-24
DOI
10.1007/s11837-019-03792-2
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。- Deep learning-based tensile strength prediction in fused deposition modeling
- (2019) Jianjing Zhang et al. COMPUTERS IN INDUSTRY
- Kinetic Monte Carlo simulation of sintering behavior of additively manufactured stainless steel powder particles using reconstructed microstructures from synchrotron X-ray microtomography
- (2019) Yi Zhang et al. Results in Physics
- Modeling of solidification microstructure evolution in laser powder bed fusion fabricated 316L stainless steel using combined computational fluid dynamics and cellular automata
- (2019) Yi Zhang et al. Additive Manufacturing
- Transient dynamics of powder spattering in laser powder bed fusion additive manufacturing process revealed by in-situ high-speed high-energy x-ray imaging
- (2018) Qilin Guo et al. ACTA MATERIALIA
- Machine learning in tolerancing for additive manufacturing
- (2018) Zuowei Zhu et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Laser Direct Metal Deposition of 2024 Al Alloy: Trace Geometry Prediction via Machine Learning
- (2018) Fabrizia Caiazzo et al. Materials
- Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel
- (2017) Gustavo Tapia et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones
- (2016) Saad A. Khairallah et al. ACTA MATERIALIA
- Data mining and statistical inference in selective laser melting
- (2016) Chandrika Kamath INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Sintering phenomena and mechanical strength of nickel based materials in direct metal laser sintering process—a molecular dynamics study
- (2016) Yi Zhang et al. JOURNAL OF MATERIALS RESEARCH
- 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
- Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing
- (2014) Wayne E. King et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- A new approach to compute multi-reflections of laser beam in a keyhole for heat transfer and fluid flow modelling in laser welding
- (2013) Mickael Courtois et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Investigation of keyhole plume and molten pool based on a three-dimensional dynamic model with sharp interface formulation
- (2013) Wenda Tan et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Energy input effect on morphology and microstructure of selective laser melting single track from metallic powder
- (2012) I. Yadroitsev et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- On the choice of electromagnetic model for short high-intensity arcs, applied to welding
- (2012) Isabelle Choquet et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Quantitative characterization of porosity in laser welds of stainless steel
- (2012) Jonathan D. Madison et al. SCRIPTA MATERIALIA
- A simple methodology for predicting laser-weld properties from material and laser parameters
- (2011) D B Hann et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Model of Radiation and Heat Transfer in Laser-Powder Interaction Zone at Selective Laser Melting
- (2009) A. V. Gusarov et al. JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME
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