ProgramMaster Logo
Conference Tools for Materials Science & Technology 2016
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 2016
Symposium Additive Manufacturing: In-situ Process Monitoring, Defect Detection and Control
Sponsorship
Organizer(s) Ulf R Ackelid, Freemelt AB
Ian D. Harris, EWI
Andrzej L. Wojcieszynski, ATI Powder Metals
Sudarsanam S. Babu, The University of Tennessee, Knoxville
Ola Harrysson, North Carolina State University
Rodney Boyer, Monash University
Scope Additive Manufacturing is moving quickly from the test laboratory environments to the manufacturing facilities. As a production technology, it will need to meet much more stringent requirements concerning quality and reproducibility of the products, and process reliability. Since commonly every part/piece is made as an individual component, there is an increased need to provide process control tools that will ensure consistent and reproducible results. The additive technologies themselves provide a unique capability of process control and a unique access to the inner sections of the product as the product is built layer by layer. It is the purpose of this symposium to review the various methods/tools available to the machine operators for in-situ process control as well as various methods of defect detection and in-process defect repair.
Abstracts Due 03/31/2016
Proceedings Plan Definite: MS&T all conference proceedings CD
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

In Situ Monitoring of Directed Energy Deposition
3D Analysis in Laser Beam Melting Based on Real-time Process Monitoring
Automated Computer Vision System for Characterizing AM Powder Feedstock and Build Quality
Correlating In-process Statistical Data Collected during SLM to As-built Material Properties, Microstructure, and Residual Stress
Correlation of Defect Structures and a Voxelized Representation of Powder Bed Fusion Process Conditions
Defect Formation Mapping and Targeted Process Optimisation in Selective Laser Melted IN738LC Ni-base Superalloy
Development and Validation of a Numerical Model of Electron Beam Additive Manufacturing Using In-situ Thermographic Measurements
Effect of Process Parameters on the Deposit Geometry of Directed Energy Deposits
Feedback Control of Blown-powder Additive Deposition
Identification of Sub-surface Defects in Parts Produced by Additive Manufacturing, Using Laser Generated Ultrasound
In-Situ Observations of Chimney Pore Formation during Electron-Beam Additive Manufacturing
In Situ Temperature Measurement during the Electron Beam Melting Process of Inconel 718
Integrated Process Monitoring Physics-based Modeling Approach for Uncertainty Quantification in Metal-based Additive Manufacturing
Layer-Wise Thermal Feedback Control of Ti64 Electron Beam Melting
Linking Post-process NDT to In-process Monitoring Data for SLM Quality Control and Defect Detection in Ti-6Al-4V
Monitoring of Humidity in Laser Based Powder Bed Fusion Systems
On the Requirements for Model-based Thermal Control of Melt Pool Geometry in Laser Powder Bed Fusion Additive Manufacturing
Surface Temperature Distribution and Melt Pool Behavior during Selective Laser Melting Process for Inconel 718
The Effect of Global Heat Control on Melt Pool Temperature and Size
Thermal Control to Achieve Consistent and Uniform Mechanical Properties
Thermal Measurements of Process and Microstructural Validation for Ti-6Al-4V and Inconel 625 Material
Towards Real-time Regulation of Build Geometry in a Directed Energy Deposition Process Using Vision-based Feedback Control
Using Machine Vision and Machine Learning to Explore and Evaluate a Large Dataset of AM Powder Feedstock Images


Questions about ProgramMaster? Contact programming@programmaster.org