ProgramMaster Logo
Conference Tools for Materials Science & Technology 2019
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Symposium
Meeting Materials Science & Technology 2019
Symposium Additive Manufacturing: In-situ Process Monitoring and Control
Sponsorship
Organizer(s) Ulf R. Ackelid, Freemelt AB
Andrzej L Wojcieszynski, ATI Powder Metals
Sudarsanam S. Babu, University of Tennessee, Knoxville
Ola L. Harrysson, North Carolina State University
Scope Additive Manufacturing (AM) is moving quickly from the test laboratory environments to the manufacturing facilities. As a production technology, AM must meet stringent requirements concerning material quality, process reliability and reproducibility. In fact, AM offers a unique opportunity for in-situ process control since products are built layer by layer, giving full access to inner sections of the built material.

The purpose of this symposium is to review and discuss various technologies and applications involving in-situ process monitoring and control. We welcome papers exploring existing solutions on commercial AM equipment, as well as new innovative methods which are still at a laboratory stage.

Suitable topics for this symposium include, but are not limited to, in-situ methods for:
- Monitoring of powder layer quality
- Detection of porosity and other defects
- In-process defect repair
- Monitoring of dimensional accuracy (XY) and surface topography (Z)
- Thermal monitoring and mapping
- Real-time melt pool characterization
- Evaporation loss measurement
- Monitoring of vacuum quality, process gas purity and gas flow pattern
- High-speed imaging of fast processes such as powder distribution, melt pool dynamics, spattering and electrostatic levitation
- Monitoring of beam quality (laser or electron beam)
- Detection of acoustic signals, X-rays, backscatter electrons and other innovative methods to extract process quality information or to confirm reliability of the AM machine.

Abstracts Due 04/05/2019
Proceedings Plan Planned:
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

A Framework and Demonstration for Machine-agnostic Feedforward Control on Commercial Powder Bed Fusion Systems
Active Monitoring of the Selective Laser Melting Process Using an Artificial Neural Net Classifier on Layer-by-Layer Surface Profile Data
AM Process Control Using a Machine Learning Approach
Correlation of Porosity Defects with In-situ Pyrometry in AM 316L Stainless Steel
Defect Detection in Additively Manufactured 304L and Ti-6-4 via Low Frame Rate Pyrometry
Direct Process Feedback in Extrusion-based Additive Manufacturing Using Learning Control
Effect of Powder Bed Fusion Processing Parameters on Optical Emission during Single-track Deposits and the Implications for Quality Assurance and Control
Enabling Thermal Signature Mapping in AM Parts Using Infrared Imaging
Feedback Control of Scanning Laser Epitaxy (SLE) – Estimation of Melt Pool Temperature and Size
High-speed Video Monitoring of Stochastic PBFAM Flaw Formation
Identification of Powder Layer Defects in Additive Manufacturing via Digital Image Correlation
Implementation of Nonlinear Ultrasonic Techniques for In-situ Monitoring of Defect Formation in Additively Manufactured Inconel 718
In-situ Cooling Dynamics of Ti-6Al-4V Additive Manufacturing and Its Relation to Microstructure and Properties
In Situ Detection and Tracking of Spatter in Laser Powder Bed Fusion
In Situ Observation of Crack Mitigation Effects of Alloy Additives in Tungsten
Multiscale and Multiphysics Certification in Additive Manufacturing Using Real-time Sensor Data and Simulation Outcomes
Oxygen and Moisture Effects on Particle-melt Pool Wetting Characterized via In-situ High Speed Imaging in Laser Directed Energy Deposition
P3-27: Characterizing In-situ Anisotropic Micromechanical Response in Additively Manufactured 17-4 Stainless Steel Using High-Energy X-ray Diffraction
P3-28: In-situ Mechanical Neutron Diffraction Loading Characteristics of GRCop-84 Fabricated by Selective Laser Melting
P3-29: Influence of Sources of Heating and Protective Gases on the Properties of the Material Obtained by the Direct Deposition
Process Control for Additive Manufacturing of Metallic Functionally Graded Materials
Process Monitoring Using Electron Signals in the EBM Process
Real-time Layer-by-layer Ultrasonic Peening Treatment during Additive Manufacturing to Improve Fatigue Properties of 17-4 SS Alloy
Real Time Observation of Binder Jetting Printing Process Using High-speed X-ray Imaging
Selective Laser Melting Monitored by Acoustic Emission and Tomography Characterization
Spatial Statistical Methods for Real-time Crystallographic Grain Growth Reconstruction in Rapidly Solidified Alloys


Questions about ProgramMaster? Contact programming@programmaster.org