Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing
The 3D printers integrated with fused filament fabrication (FFF) are highly valued worldwide because of their properties, which include fast proofing, compatibility with various materials, and low printing cost. The competitiveness of FFF can be enhanced by improving printing quality. However, due t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/19/10060 |
| _version_ | 1797480449538260992 |
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| author | Cheng-Jung Yang Sin-Syuan Wu |
| author_facet | Cheng-Jung Yang Sin-Syuan Wu |
| author_sort | Cheng-Jung Yang |
| collection | DOAJ |
| description | The 3D printers integrated with fused filament fabrication (FFF) are highly valued worldwide because of their properties, which include fast proofing, compatibility with various materials, and low printing cost. The competitiveness of FFF can be enhanced by improving printing quality. However, due to the increasing sustainability issues worldwide, there is an urgent need to lower energy consumption. In this study, we focused on fan rate, printing speed, nozzle temperature, build plate temperature, and layer thickness as factors that directly impact the dimensional accuracy, carbon dioxide emissions, and printing cost of FFF printers. Several single-objective and multiobjective optimization tasks were performed using the Taguchi method and desirability approach to implement sustainable manufacturing decisions. In single-objective optimization, the inner width, outer width, material cost, and labor cost were most easily affected by the layer thickness. The outer length, carbon dioxide emissions, and electricity cost were significantly affected by the build plate temperature. In multiobjective optimization, a different set of printing parameters can be used to optimize dimensional accuracy, carbon dioxide emissions, material cost, labor cost, and electricity cost. This study helps users to obtain optimal solutions under different optimization requirements to cope with diverse manufacturing characteristics. |
| first_indexed | 2024-03-09T22:00:10Z |
| format | Article |
| id | doaj.art-0045fe9132074914bac09859ea5ac488 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:00:10Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-0045fe9132074914bac09859ea5ac4882023-11-23T19:50:18ZengMDPI AGApplied Sciences2076-34172022-10-0112191006010.3390/app121910060Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D PrintingCheng-Jung Yang0Sin-Syuan Wu1Program in Interdisciplinary Studies, National Sun Yat-sen University, Kaohsiung 80424, TaiwanProgram in Interdisciplinary Studies, National Sun Yat-sen University, Kaohsiung 80424, TaiwanThe 3D printers integrated with fused filament fabrication (FFF) are highly valued worldwide because of their properties, which include fast proofing, compatibility with various materials, and low printing cost. The competitiveness of FFF can be enhanced by improving printing quality. However, due to the increasing sustainability issues worldwide, there is an urgent need to lower energy consumption. In this study, we focused on fan rate, printing speed, nozzle temperature, build plate temperature, and layer thickness as factors that directly impact the dimensional accuracy, carbon dioxide emissions, and printing cost of FFF printers. Several single-objective and multiobjective optimization tasks were performed using the Taguchi method and desirability approach to implement sustainable manufacturing decisions. In single-objective optimization, the inner width, outer width, material cost, and labor cost were most easily affected by the layer thickness. The outer length, carbon dioxide emissions, and electricity cost were significantly affected by the build plate temperature. In multiobjective optimization, a different set of printing parameters can be used to optimize dimensional accuracy, carbon dioxide emissions, material cost, labor cost, and electricity cost. This study helps users to obtain optimal solutions under different optimization requirements to cope with diverse manufacturing characteristics.https://www.mdpi.com/2076-3417/12/19/100603D printerfused filament fabricationsustainable manufacturingTaguchi methoddesirability approach |
| spellingShingle | Cheng-Jung Yang Sin-Syuan Wu Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing Applied Sciences 3D printer fused filament fabrication sustainable manufacturing Taguchi method desirability approach |
| title | Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing |
| title_full | Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing |
| title_fullStr | Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing |
| title_full_unstemmed | Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing |
| title_short | Sustainable Manufacturing Decisions through the Optimization of Printing Parameters in 3D Printing |
| title_sort | sustainable manufacturing decisions through the optimization of printing parameters in 3d printing |
| topic | 3D printer fused filament fabrication sustainable manufacturing Taguchi method desirability approach |
| url | https://www.mdpi.com/2076-3417/12/19/10060 |
| work_keys_str_mv | AT chengjungyang sustainablemanufacturingdecisionsthroughtheoptimizationofprintingparametersin3dprinting AT sinsyuanwu sustainablemanufacturingdecisionsthroughtheoptimizationofprintingparametersin3dprinting |