|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Tuesday, April 26, 2016, 3:00 p.m.|
|PLACE:||MARC Building, 201|
|TITLE:||Scalable Manufacturing of Micro-features for Orthopedic and Tribological Applications|
|COMMITTEE:||Dr. Christopher Saldana, Chair (ME)
Dr. Thomas Kurfess (ME)
Dr. Steven Liang (ME)
Micro-scale surface textures have found profound application in various industrial sectors, including the biomedical and tribological communities. While numerous manufacturing methods are available for the fabrication of these micro-features, advancements in high-precision machinery and piezoelectric actuation have allowed for the development of new and scalable processes for mechanical surface texturing based on modulation-assisted machining. The present study aims to understand the effects of micro-scale surface textures produced by modulation-assisted machining on surface performance in biomedical and tribological configurations. To accomplish this, a predictive geometric model was developed to simulate surfaces generated in multiple mechanical texturing orientations. Experimental studies were carried out to generate controlled surface textures over a range of characteristics in terms of feature size and morphology. The surface performance of the resulting textures in a biomedical implant application were tested for osseointegration capability with in vivo and in vitro tests. For these tests, a bilateral rat tibia model and precursor osteoblast MC3T3-E1 cell culture were used, respectively. Surface performance of the micro-scale surface textures in a tribological application was evaluated using a pin-on-disk wear testing configuration. The results of both studies show promising findings that demonstrate the beneficial effects of surface textures produced by modulation-assisted machining.