SURFACE ROUGHNESS JUSTIFICATION IN ADDITIVE MANUFACTURING | ||||
The International Conference on Applied Mechanics and Mechanical Engineering | ||||
Article 66, Volume 18, 18th International Conference on Applied Mechanics and Mechanical Engineering., April 2018, Page 1-11 PDF (293.02 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/amme.2018.35011 | ||||
View on SCiNiTO | ||||
Author | ||||
M. Hamoud | ||||
Assistant Professor, Faculty of Engineering, Helwan University, Cairo, Egypt. | ||||
Abstract | ||||
ABSTRACT Recently, developing Additive Manufacturing (AM) technologies have been increased, because its advantages toward the rapid manufacturing of physical model from the CAD system. In the AM area, the designer specifies the desired surface quality on the working drawing to be considered during the building operation. The produced surface depends on the building parameters. The aim of this work is to develop new empirical models for predicting the building orientation that satisfy required surface roughness based on FDM m/c. In this study, a new 3D CAD specimen was proposed to decrease the number of experiments, measuring errors and building cost. The specimen contains the surface orientation from 0o to 90o with step 10o that was built three times at three different layer thickness (0.1, 0.3, and 0.4mm). The order of the model was determined by the test of all orientations accept at 30o and 60o that was used for model verification. Results show the three prediction models at certain three values of layer thicknesses. The prediction of building orientation has several benefits as follows; it is very useful information for the designer before exporting STL file, the AM users can choose the process parameters without extra trails, increase the opportunity of technology to shear in Rapid Manufacturing (RM), Rapid Tooling (RT), and in medical applications. | ||||
Keywords | ||||
additive manufacturing; Surface Roughness Prediction; Fused Deposition Modeling; Prediction of Building Orientation | ||||
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