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3D Computer Vision and Machine Learning for Build Microstructures
This project studies processing-structure-properties relationships built by parameterizing images used to quantify microstructure
3D Computer Vision and Machine Learning for Build Microstructures Project Details
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Accelerated Alloy Design Techniques for Powder Bed Fusion
This project will combine advanced ICME, ML, and inverse design techniques to discover target combinations of properties in PBF manufacturing.
Accelerated Alloy Design Techniques for Powder Bed Fusion Project Details
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Additively Manufactured Molten Salt-to-Supercritical Carbon Dioxide Heat Exchanger
The proposed work investigates a 3D-printed high-pressure heat exchanger that can transfer heat from molten salt at 720°C to supercritical carbondioxide
Additively Manufactured Molten Salt-to-Supercritical Carbon Dioxide Heat Exchanger Project Details
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Advanced Inspection Techniques for Wire Arc Additive Manufacturing
A post-process machining step to produce net-shape parts with improved tolerances
Advanced Inspection Techniques for Wire Arc Additive Manufacturing Project Details
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AI for Functional Composites with Thermomechanical Properties
This project focuses on AI optimized parameters for AM composites with enhanced thermal and mechanical properties
AI for Functional Composites with Thermomechanical Properties Project Details
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AI-Enabled Classification of Defects in Binder-Jet
This project studies the use of AI to classify images of partially and fully sintered coupons produced by binder jetting
AI-Enabled Classification of Defects in Binder-Jet Project Details
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CRuMBLE: Construction Rubble Manufacturing for Building Life-cycle and Environment
A novel cradle-to-cradle design process for ecological architecture manufactured directly out of construction waste and earthen materials
CRuMBLE: Construction Rubble Manufacturing for Building Life-cycle and Environment Project Details
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Data Curation, Fusion, and Analysis for Metals Additive Manufacturing Pipeline
This project aims to set standards for managing and organizing the vast amount of data collected for use in applying AI to additive manufacturing.
Data Curation, Fusion, and Analysis for Metals Additive Manufacturing Pipeline Project Details
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Deep Learning Enabled Additive Manufacturing of Ultra-stiff and Ultra-light Plate-lattice Materials
This project studies plate lattice structures with high structural strength and high energy absorption during ballistic impact
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Deep Reinforcement Learning for Thermal Optimization of LPBF
DRL methods to discover sophisticated control policies to stabilize and optimize the thermal properties of the powder bed during the melting process
Deep Reinforcement Learning for Thermal Optimization of LPBF Project Details
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Digital Twin Process Control of Aerosol Jet Printing
This project aims to develop a probabilistic digital twin framework for process control of aerosol jet printing high-quality metal interconnects.
Digital Twin Process Control of Aerosol Jet Printing Project Details
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Edge Intelligent Sensor for In-Situ AM Part Geometry and Thermal Inspection
This project studies machine learning framework for AM defect classification and training, as well as software infrastructure and tools for Edge AI for AM
Edge Intelligent Sensor for In-Situ AM Part Geometry and Thermal Inspection Project Details
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Effects of Powder Reuse in LPBF Processing of Al-Mg-Sc Alloys
The proposed work investigates the effects of recycling on powder characteristics and printability
Effects of Powder Reuse in LPBF Processing of Al-Mg-Sc Alloys Project Details
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High Energy Density Modular Heat Exchangers through Design, Materials Processing, and Manufacturing Innovations
The focus of this project is the development of a modular radial heat exchanger with flow through pin arrays and counter-flow headers
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Machine Learning Generated Process Parameters for Additive Manufacturing
This project aims to create an intuitive user interface that automatically configures optimal processing parameters for additive manufacturing.
Machine Learning Generated Process Parameters for Additive Manufacturing Project Details
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Making Supply Chains More Robust with Additive Manufacturing
This project aims to leverage AM to mitigate supply chain disruptions by using AI to schedule workers to machines and predict network points of failure.
Making Supply Chains More Robust with Additive Manufacturing Project Details
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Material Evaluation Methods For Large-Scale Metal Additive Manufacturing
Integration of in-situ process monitoring with experimental process modeling and steel welding metallurgy principles to evaluate the WAAM process
Material Evaluation Methods For Large-Scale Metal Additive Manufacturing Project Details
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Multiphysics Topological Design and Printability Optimization
This project focuses on 3D isogeometric topological design software toolkit for aluminum alloy heat exchangers
Multiphysics Topological Design and Printability Optimization Project Details
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Novel deposition strategies to scale-up E-PBF
This project aims to establish electron beam powder bed fusion additive manufacturing as a high-productivity deployable technology.
Novel deposition strategies to scale-up E-PBF Project Details
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Optimal Parts Consolidation and Structural Redesign for Additive Manufactured Parts
AI-generated redesign and part consolidation that reduces weight, production costs and lifecycle greenhouse gas emissions
Optimal Parts Consolidation and Structural Redesign for Additive Manufactured Parts Project Details
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Optimization of Bioprinted Muscle Based on B-Spline Tissue Reconstruction
This project focuses on biomanufacturing with computer-in-the-loop manufacturing pipeline to design, fabricate, and monitor muscle tissues
Optimization of Bioprinted Muscle Based on B-Spline Tissue Reconstruction Project Details
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Part Level Monitoring/Control: Acoustic Monitoring of AM Builds
This project works on real-time flaw detection in LPBF through AI analysis of acoustic emissions
Part Level Monitoring/Control: Acoustic Monitoring of AM Builds Project Details
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PIML of Melt Pools for Improved Process Design
High-speed thermal imaging of AM processes to drive physics informed machine learning (PIML) approaches that will help discover melt-pool dynamics in LPBF
PIML of Melt Pools for Improved Process Design Project Details
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Predicting Recoater Blade Interference from CAD Models
The project will develop a self-contained software system that allows non-experts to input a 3D CAD file to rapidly estimate recoater blade interference.
Predicting Recoater Blade Interference from CAD Models Project Details
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Refractory Alloys for Additive Manufacturing and Extremely High Temperatures
The proposed work investigates additive manufacturing of thin wall W-base alloy components for high temperature NASA applications
Refractory Alloys for Additive Manufacturing and Extremely High Temperatures Project Details
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Structure-Property Relationships Using Statistics in Binder Jet AM WC-Co Parts
This project focuses on data-driven approaches to establish structure-property relations and understand variability in AM process
Structure-Property Relationships Using Statistics in Binder Jet AM WC-Co Parts Project Details
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Using ML to extract info from scientific text using data annotation
This project aims to use ML and NLP to extract and generalize structured data from unstructured scientific literature to efficiently train ML models used in AM.
Using ML to extract info from scientific text using data annotation Project Details
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