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Lados, Diana A.
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Multi-Scale Microstructure Predictions and Phase Transformations in Additively Manufactured Ti-6Al-4V Using a Hybrid Mechanistic and Machine Learning Model
Keyword:
phase field
,
microstructure modeling and simulation
,
laser powder bed fusion
,
titanium alloys
,
finite difference-Monte Carlo
, and
in-situ synchrotron X-ray diffraction
Creator:
Whitney, Bonnie
Advisor:
Lados, Diana A.
and
Spangenberger, Anthony
Publisher:
Worcester Polytechnic Institute
Date Created:
2024-04-22
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Design of Novel Energy-Absorbing Composites for Impact-Resistant Transportation and Defense Applications
Keyword:
Novel Materials
,
Material Engineering
,
Composites
,
Design
,
Strengthening Mechanisms
, and
Energy-Absorption
Creator:
Layam, Kiana-Karla
,
Saladino, Joseph
,
Boisvert, Matthew
, and
Ruddat, Mark
Advisor:
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2024-04-22
Resource Type:
Major Qualifying Project
Design of a High-Impulse Mechanical Apparatus for Dynamic Testing of Novel Energy-Absorbing Composites
Keyword:
Metal Foam
,
Safety
,
Reduced Carbon Emissions
,
Composite
,
Testing Device
, and
Vehicle Safety
Creator:
Amkreutz, Andrew
,
Kodhimaj, Alessia
,
Abraham, Cory
, and
Nikolaychuk, Konstantin
Advisor:
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2024-04-22
Resource Type:
Major Qualifying Project
Understanding Processing-Microstructure-Fatigue Performance Relationships for Defect-Tolerant Design in Laser Powder Bed Fabricated Al-10Si-0.4Mg Alloys
Keyword:
additive manufacturing
,
defect tolerance
,
Al-10Si-0.4Mg
,
Fatigue
,
Fatigue crack growth
, and
laser powder bed
Creator:
Piette, Timothy
Advisor:
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2023-06-04
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning
Keyword:
porosity
,
additive manufacturing
,
machine learning
, and
pore classification
Creator:
Staszewska, Adrianna
Advisor:
Lados, Diana A.
and
Neamtu, Rodica
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-08-11
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Computer Science
Design and Qualification of Wrought and Additively Manufactured 4340 Steels for Fatigue-Critical and Damage-Tolerant Applications
Keyword:
4340 Structural Steels
,
Flaw-Sensitive Fatigue Design
,
Fatigue, Ultrasonic Fatigue, Fatigue Crack Growth
,
Additive Manufacturing
,
Extreme Value Statistics
, and
Defect Quantification
Creator:
Ryder, Matthew
Advisor:
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-08-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Design of Cold Spray Aluminum Alloys for Structural Components, Coatings, and Repairs: Fatigue Mechanisms, Novel Interfacial Evaluations, and Methods for Material/Part Qualification
Keyword:
Fatigue and Ultrasonic Fatigue
,
Interfacial Strength
,
Microstructure and Fractography
,
Coatings and Repair
,
Fatigue Crack Growth
, and
Cold Spray
Creator:
Sample, Christopher
Advisor:
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-08-22
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Automatizing Inspection and Defect Detection for Metal Additive Manufacturing Using Deep Learning Techniques
Keyword:
Mask R-CNN
,
deep learning
,
defect detection
,
additive manufacturing
,
detectron2
, and
defect classification
Creator:
Staszewska, Adrianna
Advisor:
Lados, Diana A.
and
Neamtu, Rodica
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-04-27
Resource Type:
Major Qualifying Project
Automatizing Inspection and Defect Detection for Metal Additive Manufacturing Using Deep Learning Techniques
Keyword:
defect detection
,
additive manufacturing
,
classification
,
deep learning
, and
Mask R-CNN
Creator:
Broderick, Collin
Advisor:
Neamtu, Rodica
and
Lados, Diana A.
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-02
Resource Type:
Major Qualifying Project
Advancement of 3D Printed Aluminum Alloys for the Aerospace Industry Using Machine Learning
Keyword:
Laser Powder Bed Fusion
,
Machine Learning
,
Convolutional Neural Network
,
Al-10Si-Mg
, and
Additive Manufacturing
Creator:
Bowles, Patrick
,
Desmonts, Braeden
,
Carlo, Charles
, and
Cervone, Gabriella
Advisor:
Lados, Diana A.
and
Neamtu, Rodica
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-25
Resource Type:
Major Qualifying Project
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Capogna, Luca
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