|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing Fatigue and Fracture V: Processing-Structure-Property Investigations and Application to Qualification
||Quantifying Surface Roughness in Additive Manufactured Ti-6AI-4V Using In-situ X-ray Imaging
||Alisha Bhatt, Chu Lun Alex Leung, Gowtham Soundarapandivan, Sebastian Marussi, Saurabh M Shah, Robert C Atwood, Manish K Tiwari, Peter D Lee
|On-Site Speaker (Planned)
Smart implants are devices with therapeutic and diagnostic capabilities which employ nanosensors that are small, robust, and easy to integrate into the body. This project aims to imbed these nanosensors directly onto additive manufactured (AM) titanium biomedical implants. The surface finish of the AM component will have a significant effect on the adhesion of the sensors to the substrate, an optimum surface profile is required. Here, we designed a series of experiments to analyse the correlations between powder oxygen level, process parameters, and the resultant surface roughness of additive manufactured Ti-6AI-4V parts via high-speed synchrotron radiography. Results revealed positive skewness and kurtosis in roughness with an increase in layers, while the Ra (arithmetical mean) decreases with an increase in heat input, indicating a rougher profile with lower energy density. The work reveals how the roughness profile varies as a function of processing conditions, highlighting key trends for parameter optimization.