An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process
This study proposes a hybrid optimization method which can help users to find optimal cutting parameters which will provide better efficiency and lower power consumption for a milling process. Empirical models including performance-power consumption characteristic curves of servo motors were built,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/9/7/1495 |
| _version_ | 1811270096264364032 |
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| author | Shih-Ming Wang Chun-Yi Lee Hariyanto Gunawan Chin-Cheng Yeh |
| author_facet | Shih-Ming Wang Chun-Yi Lee Hariyanto Gunawan Chin-Cheng Yeh |
| author_sort | Shih-Ming Wang |
| collection | DOAJ |
| description | This study proposes a hybrid optimization method which can help users to find optimal cutting parameters which will provide better efficiency and lower power consumption for a milling process. Empirical models including performance-power consumption characteristic curves of servo motors were built, and an optimization algorithm adopting the empirical models with procedure guiding function was developed. The empirical models were built based on the measurements from planned machining experiments with different combination of machining parameters including spindle speed, feedrate, and chip load, etc. After integrating the models and algorithm, an optimization system with human machine interface, which has procedure guiding function, was developed. The system can recommend optimal machining parameters for a milling process for shorter machining time and lower electricity costs based on the original machining parameters. Finally, cutting experiments were conducted to verify the proposed system, and the results showed that the proposed method can effectively enhance efficiency by 42.06% and save 34.74% in machining costs through reducing machining time and electrical power consumption. |
| first_indexed | 2024-04-12T21:54:46Z |
| format | Article |
| id | doaj.art-1e4b0d4e67d74110ba164ce09c73ee4b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-12T21:54:46Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1e4b0d4e67d74110ba164ce09c73ee4b2022-12-22T03:15:21ZengMDPI AGApplied Sciences2076-34172019-04-0197149510.3390/app9071495app9071495An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling ProcessShih-Ming Wang0Chun-Yi Lee1Hariyanto Gunawan2Chin-Cheng Yeh3Department of Mechanical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanDepartment of Mechanical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanDepartment of Mechanical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanDepartment of Mechanical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanThis study proposes a hybrid optimization method which can help users to find optimal cutting parameters which will provide better efficiency and lower power consumption for a milling process. Empirical models including performance-power consumption characteristic curves of servo motors were built, and an optimization algorithm adopting the empirical models with procedure guiding function was developed. The empirical models were built based on the measurements from planned machining experiments with different combination of machining parameters including spindle speed, feedrate, and chip load, etc. After integrating the models and algorithm, an optimization system with human machine interface, which has procedure guiding function, was developed. The system can recommend optimal machining parameters for a milling process for shorter machining time and lower electricity costs based on the original machining parameters. Finally, cutting experiments were conducted to verify the proposed system, and the results showed that the proposed method can effectively enhance efficiency by 42.06% and save 34.74% in machining costs through reducing machining time and electrical power consumption.https://www.mdpi.com/2076-3417/9/7/1495optimizationpower consumptionmachining efficiencymachining cost |
| spellingShingle | Shih-Ming Wang Chun-Yi Lee Hariyanto Gunawan Chin-Cheng Yeh An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process Applied Sciences optimization power consumption machining efficiency machining cost |
| title | An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process |
| title_full | An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process |
| title_fullStr | An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process |
| title_full_unstemmed | An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process |
| title_short | An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process |
| title_sort | accuracy efficiency power consumption hybrid optimization method for cnc milling process |
| topic | optimization power consumption machining efficiency machining cost |
| url | https://www.mdpi.com/2076-3417/9/7/1495 |
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