Liu J., Liu Z., Jalalahmadi B., Liu J., Liu Z., McReynolds M., Rios J.
Sentient Science, US
Keywords: computational modeling, ICME, metal additive manufacturing, part qualification
Metal Additive Manufacturing (AM) shows great potential for producing light-weight structures, reducing development cost and lead time in critical industies such as aerospace and medical device. However, a major barrier that remains is rapid qualification of additively manufactured components. Sentient Science Corporation (Sentient) has been enhancing its DigitalClone® software to include an ICME (integrated computational materials engineering) modeling framework for part qualification in metal additive manufacturing (AM). This physics-based multiscale model can be used to qualify material and process parameters with minimal calibration. Specifically, the DigitalClone model can take key AM process parameters (e.g. laser power, scan speed, hatch strategy, layer thickness) as inputs, and simulate part-level distortion and residual stress.It can also simulate the microstructure (e.g. grain structure, porosity) of as-built parts, and fatigue performance when the part is used in the field. This paper will present a series of case studies to demonstrate Sentient’s simulation suite. Sentient expects this to be one of the most comprehensive software solutions for part qualification in metal AM.
Journal: TechConnect Briefs
Volume: TechConnect Briefs 2019
Published: June 17, 2019
Pages: 135 - 138
Industry sector: Advanced Materials & Manufacturing
Topics: 3D Printing, Advanced Manufacturing
ISBN: 978-0-9988782-8-7