Additive Manufacturing and Welding
Additive manufacturing and welding research. We use the emerging tools of mechanistic modeling and machine learning to improve additive manufacturing and welding without expensive and time-consuming trial-and-error testing.
Writing Impactful Review Papers
Deep Learning in Additive Manufacturing: A Recent Review
Nature article: How to tackle metals' scarcity, rising demand, and climate impacts
Metals beyond Tomorrow: Balancing Supply, Demand, Sustainability, Substitution and Innovations
Composition change during additive manufacturing
Theory and Practice of Additive Manufacturing - Tuhin Mukherjee and Tarasankar DebRoy (Wiley, 2023)
Keyhole mode wobble laser welding of a nickel base alloy - modeling, experiments, and process maps
Reliable reverse modeling of additive manufacturing by Tarasankar DebRoy - a keynote at RAAM2023
How to control microstructures in additive manufacturing?
Modeling of common defects in additive manufacturing by Tarasankar DebRoy
Integrated modeling of cracking during deep penetration laser welding of nickel alloys
Thermal Cutting, Welding and Joining - Animated Overview of the Processes
Vapor pressure versus temperature relations of common elements
Hands-on machine learning in additive manufacturing that everyone can use
Control of structure, properties, and defects in additive manufacturing
How everyone can model additive manufacturing to print superior parts – A Keynote at RAAM2022
Digital Twins in Additive Manufacturing – Concepts, Building Blocks, and Applications @Univ Michigan
Laser additive manufacturing of grade 91 steel for affordable nuclear reactor components
Spatial variation of hardness during additive manufacturing of a ferritic steel
Lack of fusion voids, balling, surface roughness, and residual stress in additive manufacturing
Real-time monitoring of metal transfer and melt pool for gas-metal arc directed energy deposition
Reducing lack of fusion voids in 3D printing using machine learning
Heat transfer and fluid flow in additive manufacturing
Reducing surface roughness in additively manufactured parts
A Machine Learning trick that everyone should be using
Control of microstructure in additive manufacturing by Dr. Alex Plotkowski
Machine Learning in Additive Manufacturing
Minor alloying element variations and microstructural evolution in additively manufactured materials
Cost competitiveness and quality consistency in metal printing
Rapid calculation of residual stresses in part scale additive manufacturing