Inspection & modelling of cusp geometry in additive manufacturing to predict product’s surface roughness

The final dimensional and geometric inaccuracies, and the resulting high surface roughness of the products have been the major problems in employing Additive Manufacturing (AM) technologies. Most of commonly used Additive manufacturing (AM) technologies are developed based on a layer-based manufacturing process to fabricate 3D models. However, a critical drawback that reduces the surface quality of the AM parts is the stair case effect as a direct result of the layered deposition of the material. In this thesis, a new approach to model surface roughness in Fused Deposition Modeling (FDM) is proposed. Based on actual observations and modeling of the cusp geometry under various setups and fabrication conditions, an empirical model to express the surface roughness distribution is presented. The developed methodology presents mathematical expressions for the profile of cusps classified based on two parameters of additive manufacturing layer thickness and the slope of the fabricated surface. Considering the fact that the cusp profile crucially affects the surface quality, the developed model is used directly to estimate surface roughness of the final product. The proposed expression is verified by implementation and comparison with the experimental case studies. The developed models can be used for optimum selection of the build direction or layer thickness when a certain surface roughness range is targeted. It can also be used as a tool for modification of the design to control the final surface roughness of the AM products.

Name thesis:degree_name

Master of Applied Science (MASc)

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Kaji, Farzaneh

Advisor dc:contributor.advisor

• Barari, Ahmad

• Additive manufacturing
• Surface roughness

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/526

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/526