Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing

Mechanical properties of hybrid additively manufactured Inconel 718 parts created via thermal control after secondary treatment processes

(2021) Jennifer Glerum et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Machine learning enabled autonomous microstructural characterization in 3D samples

(2020) Henry Chan et al.   npj Computational Materials

A review on machine learning in 3D printing: applications, potential, and challenges

(2020) G. D. Goh et al.   ARTIFICIAL INTELLIGENCE REVIEW

Mechanistic models for additive manufacturing of metallic components

(2020) H.L. Wei et al.   PROGRESS IN MATERIALS SCIENCE

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

Metallurgy, mechanistic models and machine learning in metal printing

(2020) T. DebRoy et al.   Nature Reviews Materials

Invited Review: Machine Learning for Materials Developments in Metals Additive Manufacturing

(2020) N.S. Johnson et al.   Additive Manufacturing

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

(2020) Sourav Saha et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Adaptive hyper reduction for additive manufacturing thermal fluid analysis

(2020) Ye Lu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Keyhole threshold and morphology in laser melting revealed by ultrahigh-speed x-ray imaging

(2019) Ross Cunningham et al.   SCIENCE

Energy Coupling Mechanisms and Scaling Behavior Associated with Laser Powder Bed Fusion Additive Manufacturing

(2019) Jianchao Ye et al.   ADVANCED ENGINEERING MATERIALS

A cellular automaton finite volume method for microstructure evolution during additive manufacturing

(2019) Yanping Lian et al.   MATERIALS & DESIGN

Conditions for void formation in friction stir welding from machine learning

(2019) Yang Du et al.   npj Computational Materials

Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map

(2019) Zhengtao Gan et al.   Engineering

Multiphysics modelling of lack-of-fusion voids formation and evolution in IN718 made by multi-track/multi-layer L-PBF

(2019) Mohamad Bayat et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

In-Process monitoring of porosity during laser additive manufacturing process

(2019) Bin Zhang et al.   Additive Manufacturing

An integrated process–structure–property modeling framework for additive manufacturing

(2018) Wentao Yan et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Additive manufacturing of metallic components – Process, structure and properties

(2018) T. DebRoy et al.   PROGRESS IN MATERIALS SCIENCE

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

(2018) Jingran Li et al.   MATERIALS & DESIGN

A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals

(2018) Carl Frank Herriott et al.   MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING

Double-slit photoelectron interference in strong-field ionization of the neon dimer

(2018) Maksim Kunitski et al.   Nature Communications

Numerical simulation of thermal behavior and multicomponent mass transfer in direct laser deposition of Co-base alloy on steel

(2017) Zhengtao Gan et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

3D printing of high-strength aluminium alloys

(2017) John H. Martin et al.   NATURE

Real-time monitoring of laser powder bed fusion process using high-speed X-ray imaging and diffraction

(2017) Cang Zhao et al.   Scientific Reports

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

Multiscale Modeling of Powder Bed–Based Additive Manufacturing

(2016) Matthias Markl et al.   Annual Review of Materials Research

Predicting Microstructure From Thermal History During Additive Manufacturing for Ti-6Al-4V

(2016) Jeff Irwin et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges

(2015) W. E. King et al.   Applied Physics Reviews