2026-09-19T01:18:36Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1143252026-06-06T00:56:30Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David E. Hardt.
Xu, Yuanhan
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2018-03-27T14:17:34Z
2018-03-27T14:17:34Z
2017
2017
http://hdl.handle.net/1721.1/114325
1028748060
Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 58).
A feature-based time estimation model is developed to predict printing time of any given object on a fused deposition modeling machine. Preliminary experiments are conducted to detect the significant factors that cause the error between actual and estimated submission time. A proposed method models the movements and heating processes of the extruder nozzle and calculates print time using G-code. The result of the proposed model is also compared with the most downloaded print time simulator on Google Play and demonstrated that the proposed model significantly improves the estimation of print time. Recommendations for future steps to improve the accuracy of the model are also presented.
by Yuanhan Xu.
M.Eng. in Advanced Manufacturing and Design
79 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Modeling print time for a fused deposition modeling machine
Thesis
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<Abstract>A feature-based time estimation model is developed to predict printing time of any given object on a fused deposition modeling machine. Preliminary experiments are conducted to detect the significant factors that cause the error between actual and estimated submission time. A proposed method models the movements and heating processes of the extruder nozzle and calculates print time using G-code. The result of the proposed model is also compared with the most downloaded print time simulator on Google Play and demonstrated that the proposed model significantly improves the estimation of print time. Recommendations for future steps to improve the accuracy of the model are also presented.</Abstract>
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