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Measurement of Surface Defects in 3D Printed Models
Halmstad University, School of Business, Engineering and Science.
Halmstad University, School of Business, Engineering and Science.
2016 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The ease of manufacturing using additive manufacturing (3D-Printing) reduces the overall production cost compared with the traditional manufacturing techniques. Because of the benefits of 3D printing technologies, it is proposed to be used in manufacturing of different products. But there are some flaws that are causing significant effect on 3D printed models which degrades the quality of the product. Hence in order to handle these defects, different measurement techniques are needed to quantify the defects that are seen on the surface of 3D-printed models. In our study there are two experimental setups. Experimental setup one was made to find out the proper coating timing to enable measurement using two good samples without defects in different colors blue and red with same material. Different 2D and 3D parameters were used for the surface measurements are collected and noted for further research. The Defective samples are measured using the state of the art equipment at Halmstad University. Experimental setup two was made to prepare the defective samples and measure the samples. The results obtained assisted to quantify the surface defects seen in the samples. This thesis studies some of the different methods that can be implemented to measure the surface defects on the 3D printed models. A little study on the various defects formed on the 3D printed models and what are the causes for the defects on the products were performed. The results suggest different method for the defects to be measured in both industrial and home or small scale office applications.

Place, publisher, year, edition, pages
2016. , 80 p.
Keyword [en]
Surface defects in 3D printed Models, Measurement technique, 3D printing
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-32487OAI: oai:DiVA.org:hh-32487DiVA: diva2:1049722
Subject / course
Mechanical Engineering
Supervisors
Examiners
Available from: 2016-12-01 Created: 2016-11-25 Last updated: 2016-12-01Bibliographically approved

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