<div class="csl-bib-body">
<div class="csl-entry">Pastrama, M.-I. (2013). <i>Computer tomography of aluminum oxide parts fabricated by additive manufacturing technology</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/159975</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/159975
-
dc.description.abstract
Additive Manufacturing Technology (AMT) offers the advantage of fabricating cost-effectively and rapidly parts that may otherwise be difficult to obtain by machining. Especially very small, detailed parts, such as scaffolds for bone cells used in tissue engineering can be easily produced by this layer-by-layer technique. Alumina (aluminum oxide) is a hard material, with high resistance to corrosion and fracture and a low friction coefficient. These properties recommend it as a highly useful material in many fields, for instance in the textile industry where parts that can resist to abrasive wear are needed.<br />Additionally, due its linear wear rate, aluminum oxide also finds its applications in biomedical engineering, in the fabrication of hip prosthesis. The current research assesses the quality of alumina parts built using the "Blueprinter" - the Additive Manufacturing Technology machine in the Institute for Material Science at the Vienna University of Technology. The quality analysis was made with the help of Computer Tomography (CT) scans. The aim of the work is to determine which machine parameters result in the best quality of the fabricated parts, translated in the lowest number of flaws (air pores) in a given control area.