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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing: Qualification and Certification
Presentation Title Similarity Analysis and Clustering of Thermal History to Understand Process-structure Relationships
Author(s) Sujana Chandrasekar, Jamie B Coble, Amy Godfrey, Serena Beauchamp, Fred List III, Vincent Paquit, Sudarsanam Suresh Babu
On-Site Speaker (Planned) Sujana Chandrasekar
Abstract Scope Part qualification is challenging in AM processes like selective laser melting (SLM) due to variation in microstructure and associated properties with changing thermal history. Thermal cycling is inherent to SLM and dictated by laser parameters, scan patterns, geometry and defects. In this work, we develop time series analysis methods to identify similarities in thermal history using data from infrared monitoring of SLM process. Similarity is defined using Euclidean distance between infrared data from individual points across layers and time. Clustering is done using results of similarity analysis. Clustering results indicate regions with similar thermal histories within different layers of the part. Clusters change with scan angle and part cross-section. Clustering results are correlated with characterized microstructures, which change with thermal history. This work demonstrates potential in time series analysis of infrared data for understanding process-structure relationships in AM, which can be complemented by thermal modeling.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Comprehensive Digital Platform for Additive Manufacturing
A Multi-Sensor Comparative Study for Fatigue Prognosis of Additively Manufactured Metallic Specimens
Connecting Metal Powder Morphological Characteristics with Flowability Properties Using Machine Learning
CT Based Analysis of Generation and Characterization of Parameter- and Process-induced Defects in Powder Bed Fusion Additive Manufacturing
Effect of Sample Geometry and Orientation on Tensile Properties of Ti-6Al-4V Manufactured by Electron Beam Melting
Ensuring Build Quality thru Physics-based Support Design Optimization for Residual Stress
Influence of Printing Parameters within the Binder-powder Interaction
Introductory Comments: Additive Manufacturing: Qualification and Certification
Physics-based Qualification for Laser Powder Bed Fusion AM
Pore Formation in Laser Powder Bed Fusion Inconel 718 through Multiphysics Modeling
Post-build Heat Treatment of Wire-arc Additive Manufactured 410 SS for Hardness Tuning
Recyclability of Ti-6Al-4V Powders Used in Additive Manufacturing
Reducing Anisotropic Deformation of LPBF Inconel 718 for Applications in Extreme Conditions
Reducing Heat Buildup and Regularizing Melt Pool Dimensions in Laser Powder Bed Fusion through a “Powder Moat” Scan Strategy
Similarity Analysis and Clustering of Thermal History to Understand Process-structure Relationships
Simulation of the Effect of Texture on Anisotropy in SLM-Produced IN718 Microstructures
The Effects of Powder Particle Size Distribution on the Powder and Part Performance of Laser Powder Bed Fusion 17-4 PH Stainless Steel
Unveiling the Relationships between Powder Bed Conditions and Materials Quality during Selective Laser Melting

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