A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process

A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing

(2021) Rui Liu et al.   The International Journal of Advanced Manufacturing Technology

Modelling the influence of process parameters on precipitate formation in powder-bed fusion additive manufacturing of IN718

(2021) Jakub Mikula et al.   MATERIALS & DESIGN

Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing

(2020) Manav Vohra et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms

(2020) Qian Liu et al.   ACTA MATERIALIA

Effect of process parameters for selective laser melting with SUS316L on mechanical and microstructural properties with variation in chemical composition

(2020) Gyung Bae Bang et al.   MATERIALS & DESIGN

Thermo-mechanical modeling and validation of stress field during laser powder bed fusion of AlSi10Mg built part

(2019) Bibhu Kalyan Panda et al.   Results in Physics

Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model

(2019) Lingbin Meng et al.   JOM

Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows

(2019) Nils Thuerey et al.   AIAA JOURNAL

Pixel-wise regression using U-Net and its application on pansharpening

(2018) Wei Yao et al.   NEUROCOMPUTING

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

(2018) Jingran Li et al.   MATERIALS & DESIGN

MLCPM: A process monitoring framework for 3D metal printing in industrial scale

(2018) Mohammadhossein Amini et al.   COMPUTERS & INDUSTRIAL ENGINEERING

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

A survey of the design methods for additive manufacturing to improve functional performance

(2016) Yunlong Tang et al.   RAPID PROTOTYPING JOURNAL

Deep learning

(2015) Yann LeCun et al.   NATURE