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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing: Qualification and Certification
Presentation Title A Multi-Sensor Comparative Study for Fatigue Prognosis of Additively Manufactured Metallic Specimens
Author(s) Susheel Dharmadhikari, Asok Ray, Amrita Basak
On-Site Speaker (Planned) Susheel Dharmadhikari
Abstract Scope The research presents a novel methodology for fatigue prognosis of additively manufactured AlSi10Mg specimens by comparing two timeseries signals from ultrasonic and strain sensors and two sets of image sequences from confocal and digital microscopes. Ultrasonic investigation is used extensively to identify cracks. Similarly, hysteresis curves are known to contain the cumulative damage information indicating failures. Both sets of data work successfully in segregating cracked and uncracked specimens. Initiation of crack, on the other hand, cannot be clearly identified through these data sets due to seemingly insignificant changes in the signals. In such situations, magnified images from confocal and digital microscopes capture minute cracks and help in identifying these crack-initiation-windows in the time series signals. Using pattern recognition techniques, these windows can then be processed to identify unique features that correspond to crack initiation. With accurate calibration, the framework finds its direct application in online fatigue prognosis.
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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