Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology
碩士 === 東海大學 === 工業工程與經營資訊學系 === 103 === This study is focus on adjust the parameters of fused deposition modeling (FDM) technology by design of experiments (DOE). FDM technology is one of the population technology for additive manufacturing. FDM has the low cost, but which also has poor quality. So...
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ndltd-TW-103THU000300392019-05-15T22:08:03Z http://ndltd.ncl.edu.tw/handle/w3ju3t Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology 利用實驗設計法調整積層製造參數 與品質最佳化研究 -以 FDM 技術為例 Jheng-Sian Cai 蔡政憲 碩士 東海大學 工業工程與經營資訊學系 103 This study is focus on adjust the parameters of fused deposition modeling (FDM) technology by design of experiments (DOE). FDM technology is one of the population technology for additive manufacturing. FDM has the low cost, but which also has poor quality. So we promote the FDM quality with MakerBot® Replicator 2X. Previous studies only focused on single geometric model not multiple geometric models. So we designed three kinds of geometric models including pyramid, cube, and ball then optimized the parameters for pyramid, cube, and ball. For this three models, we wanted to minimize the standard bias and roughness and maximize the hardness. Finally, the optimization parameters compare with default parameters increased by 1.419% to 43.235% and we suggested the user printing the model which should include curve or curve surface features for FDM technology. Yi-Wen Chen 陳怡文 2015 學位論文 ; thesis 66 zh-TW |
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碩士 === 東海大學 === 工業工程與經營資訊學系 === 103 === This study is focus on adjust the parameters of fused deposition modeling (FDM) technology by design of experiments (DOE). FDM technology is one of the population technology for additive manufacturing. FDM has the low cost, but which also has poor quality. So we promote the FDM quality with MakerBot® Replicator 2X. Previous studies only focused on single geometric model not multiple geometric models. So we designed three kinds of geometric models including pyramid, cube, and ball then optimized the parameters for pyramid, cube, and ball. For this three models, we wanted to minimize the standard bias and roughness and maximize the hardness. Finally, the optimization parameters compare with default parameters increased by 1.419% to 43.235% and we suggested the user printing the model which should include curve or curve surface features for FDM technology.
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Yi-Wen Chen |
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Yi-Wen Chen Jheng-Sian Cai 蔡政憲 |
author |
Jheng-Sian Cai 蔡政憲 |
spellingShingle |
Jheng-Sian Cai 蔡政憲 Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
author_sort |
Jheng-Sian Cai |
title |
Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
title_short |
Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
title_full |
Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
title_fullStr |
Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
title_full_unstemmed |
Establishing a Database for Design Shapes and 3D Printing Processes by Using Design of Experiment (DOE) - Fused Deposition Modeling (FDM) Technology |
title_sort |
establishing a database for design shapes and 3d printing processes by using design of experiment (doe) - fused deposition modeling (fdm) technology |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/w3ju3t |
work_keys_str_mv |
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