Evaluation of Quality Signatures™ using In-Situ Process Control during Additive Manufacturing with Aluminum Alloy AlSi10Mg Part2
This document reports on the second in a series of experiments to demonstrate the capabilities of Sigma Labs, Inc. (Sigma) PrintRite3D INSPECT® software to determine the effect of intentional changes in an independent process input variable (laser power) on dependent or response data mined in-situ on a layer to layer and part to part basis.
In-Situ Process Mapping using Thermal Quality Signatures™ during Additive Manufacturing with Titanium Alloy Ti-6Al-4V
The current study was designed with three experimental purposes in mind: 1) establish a material specific process map using in-situ Thermal Quality Signatures™ and ex-situ physical property data; 2) draw a one-to-one correlation between in-situ dependent data quality metrics and ex-situ dependent data property metrics; and 3) set the stage for closing the loop by affording the opportunity to self-correct the process in real time.
Evaluation of Quality Signatures™ using In-Situ Process Control during Additive Manufacturing with Aluminum Alloy AlSi10Mg
This build was designed to establish a correlation between in-process dependent data mined from in-situ sensor raw traces signals, independent process input variables for example laser power, and post-process dependent data measured during destructive metallographic testing for porosity of as-built specimens.
Towards Rapid Qualification of Powder-Bed Laser Additively Manufactured Parts
Qualification of aerospace components is a long and costly process involving material properties, material specifications, manufacturing process, and design among others. Reducing qualification time and cost while maintaining safety offers a large economic advantage and enables faster response to the market demands.