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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
Presentation Title Control of High-temperature Drop-on-demand Metal Jetting through Numerical Modelling and Experimentation
Author(s) Negar Gilani, Nesma Aboulkhair, Marco Simonelli, Ian Ashcroft , Richard Hague
On-Site Speaker (Planned) Negar Gilani
Abstract Scope Metal jetting entails dispensing and depositing molten metal droplets at precise locations. This opens opportunities for additive manufacturing of intricate metallic components. Numerous applications such as flexible circuits, advanced electronic components and biotechnologies are considered using the novel technique introduced here, MetalJet. It has the capability of producing metallic micro-droplets (~70 m in diameter) with melting points up to 2000 C at frequencies up to 2 kHz. Here we study the deposition of Tin droplets on various substrates through computational modelling and experimentation. Tin is chosen since it provides the opportunity of investigating wide droplet temperature ranges. The experimentation consists of printing and characterizing 3D objects while a 3D sequentially coupled thermomechanical finite element model is developed for the modelling. These provide insights into the fundamental physical phenomena of the MetalJet process which are unknown to date, including inter-droplets bonding and adhesion to the substrate, residual stress build-up and deformations.
Proceedings Inclusion? Planned: Online-only format

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Discrete Dendrite Dynamics Model for Fast Epitaxial Columnar Grain Growth in Metal Additive Manufacturing
A Process Parameter Prediction Framework for Metal Additive Manufacturing
A System Dynamics approach to submodels for Residual Stress Predictions of SLM Parts
Cellular Automata Modeling of Microstructure Resulting from Novel Scan Patterns in Selective Laser Melting
Control of High-temperature Drop-on-demand Metal Jetting through Numerical Modelling and Experimentation
Creep Modeling of 3D Printed 718 Nickel Alloys
Defect-based Fatigue Model for AlSi10Mg Produced by Laser Powder Bed Fusion Process
Design Optimization for Residual Stress in Complex Low-density Support Regions
Development of Temperature History Profiles for Production of Ti-6Al-4V Using a Semi-Analytical Model
Expanding Process Space of Laser Powder Bed Additive Manufacturing Using Alternative Scan Strategies
Experimental and Modeling Study of Gas Adsorption in Metal-organic Framework Coated on 3D Printed Plastics
Fabrication of Ceramic Core for Single Crystal Casting of Gas Turbine Blade
Feature Engineering for Surrogate Models of Consolidation Degree in Additive Manufacturing
In-situ Monitoring of Powder Flow in Direct Energy Deposition Additive Manufacturing
Mechanical and Surface Properties of Inconel 718 Alloy Fabricated by Additive Manufacturing
Modeling Hot Cracking in Metal Additive Manufacturing
Modeling of Electron Beam Physical Vapor Deposition Process for Fabricating Thermal Barrier Coatings
Modeling of Impact Property of 3D Printed 718 Nickel Alloys
Multi-Fidelity Surrogate Assisted Prediction of Melt Pool Geometry in Additive Manufacturing
Phase Field Modeling of AM Solidification Microstructure with Algorithmic Feature Extraction to Facilitate Reduced Order Model Development
Phase Field Simulations of Solid-state Precipitation in AM-processed 625 and 718 Alloys during Post-process Annealing
Probabilistic Process Design of Laser Powder Bed Fusion Using Coupled Monte Carlo and Inverse First Order Reliability Method
Property Measurements for Modeling the Process-structure-property Relationships in Additive Manufacturing
Reduced-order Process-structure Linkages during Post-Process Annealing of an Additively Manufactured Ni-base Alloy
Strength Improvement of The Ceramic Core by Applying Dual Polymers In 3D Printing Process
Stress State Dependent Plasticity and Fracture Properties of Additively Manufactured Stainless Steel 316L
Transient Evolution of Columnar Dendrites during Additive Manufacturing – Implications for Process Simulations
Virtual Reality Module for Additive Manufacturing Education

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