Uncertainty Quantification in Metallic Additive Manufacturing Through Physics-Informed Data-Driven Modeling

A Data-driven Approach for Process Optimization of Metallic Additive Manufacturing under Uncertainty

(2019) Zhuo Wang et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Validation of micro-mechanical FFT-based simulations using High Energy Diffraction Microscopy on Ti-7Al

(2018) Vahid Tari et al.   ACTA MATERIALIA

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

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

A machine learning approach for efficient uncertainty quantification using multiscale methods

(2018) Shing Chan et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Investigation on evolution mechanisms of site-specific grain structures during metal additive manufacturing

(2018) P.W. Liu et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A sensitivity analysis of the columnar-to-equiaxed transition for Ni-based superalloys in electron beam additive manufacturing

(2018) M. Haines et al.   COMPUTATIONAL MATERIALS SCIENCE

Validation of a Laser-Based Powder Bed Fusion thermal model via Uncertainty Propagation and generalized Polynomial Chaos Expansions

(2018) Gustavo Tapia et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Investigation on Microsegregation of IN718 Alloy During Additive Manufacturing via Integrated Phase-Field and Finite-Element Modeling

(2018) X. Wang et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Probability models for data-Driven global sensitivity analysis

(2018) Zhen Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Investigation of thermal responses during metallic additive manufacturing using a “Tri-Prism” finite element method

(2018) Pengwei Liu et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities

(2017) Zhen Hu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

Uncertainty quantification in prediction of material properties during additive manufacturing

(2017) Zhen Hu et al.   SCRIPTA MATERIALIA

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

Interlaboratory Study for Nickel Alloy 625 Made by Laser Powder Bed Fusion to Quantify Mechanical Property Variability

(2016) Christopher U. Brown et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models

(2016) Felipe Lopez et al.   JOURNAL OF MECHANICAL DESIGN

On the role of melt flow into the surface structure and porosity development during selective laser melting

(2015) Chunlei Qiu et al.   ACTA MATERIALIA

Multiscale modeling of electron beam and substrate interaction: a new heat source model

(2015) Wentao Yan et al.   COMPUTATIONAL MECHANICS

Additive manufacturing methods and modelling approaches: a critical review

(2015) H. Bikas et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis

(2015) Zhen Hu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

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

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

Learning about physical parameters: the importance of model discrepancy

(2014) Jenný Brynjarsdóttir et al.   INVERSE PROBLEMS

On Process Temperature in Powder-Bed Electron Beam Additive Manufacturing: Model Development and Validation

(2014) Bo Cheng 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

Modelling of electron beam absorption in complex geometries

(2014) Alexander Klassen et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

Image-based crystal plasticity FE framework for microstructure dependent properties of Ti–6Al–4V alloys

(2012) J. Thomas et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

An elasto-viscoplastic formulation based on fast Fourier transforms for the prediction of micromechanical fields in polycrystalline materials

(2011) Ricardo A. Lebensohn et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Mesoscopic simulation of selective beam melting processes

(2010) Carolin Körner et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

The Origin of Microstructural Diversity, Texture, and Mechanical Properties in Electron Beam Melted Ti-6Al-4V

(2010) S. S. Al-Bermani et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Computer Model Calibration Using High-Dimensional Output

(2008) Dave Higdon et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION