Thermal control of laser powder bed fusion using deep reinforcement learning

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

Applying deep reinforcement learning to active flow control in weakly turbulent conditions

(2021) Feng Ren et al.   PHYSICS OF FLUIDS

Controlling Rayleigh–Bénard convection via reinforcement learning

(2020) Gerben Beintema et al.   JOURNAL OF TURBULENCE

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

(2019) Jean Rabault et al.   PHYSICS OF FLUIDS

Phase field simulation of powder bed-based additive manufacturing

(2018) Liang-Xing Lu et al.   ACTA MATERIALIA

Efficient collective swimming by harnessing vortices through deep reinforcement learning

(2018) Siddhartha Verma et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2018) Jingran Li et al.   MATERIALS & DESIGN

A methodology for precision additive manufacturing through compensation

(2017) Shukri Afazov et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Analyzing the effects of powder and post-processing on porosity and properties of electron beam melted Ti-6Al-4V

(2017) Ross Cunningham et al.   Materials Research Letters

A Comprehensive Comparison of the Analytical and Numerical Prediction of the Thermal History and Solidification Microstructure of Inconel 718 Products Made by Laser Powder-Bed Fusion

(2017) Patcharapit Promoppatum et al.   Engineering

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

Metal Additive Manufacturing: A Review of Mechanical Properties

(2016) John J. Lewandowski et al.   Annual Review of Materials Research

Mechanical behavior of additive manufactured, powder-bed laser-fused materials

(2016) Todd M. Mower et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

In situ quality control of the selective laser melting process using a high-speed, real-time melt pool monitoring system

(2014) S. Clijsters et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Fatigue performance of additive manufactured metallic parts

(2013) A.B. Spierings et al.   RAPID PROTOTYPING JOURNAL

Metal Fabrication by Additive Manufacturing Using Laser and Electron Beam Melting Technologies

(2012) Lawrence E. Murr et al.   JOURNAL OF MATERIALS SCIENCE & 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