Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling
Considering the significance of improving the energy efficiency, surface quality and material removal quantity of machining processes, the present study is conducted in the form of an experimental investigation and a multi-objective optimization. The experiments were conducted by face milling AISI 1...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/4/710 |
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| author | Aqib Mashood Khan Muhammad Jamil Konstantinos Salonitis Shoaib Sarfraz Wei Zhao Ning He Mozammel Mia GuoLong Zhao |
| author_facet | Aqib Mashood Khan Muhammad Jamil Konstantinos Salonitis Shoaib Sarfraz Wei Zhao Ning He Mozammel Mia GuoLong Zhao |
| author_sort | Aqib Mashood Khan |
| collection | DOAJ |
| description | Considering the significance of improving the energy efficiency, surface quality and material removal quantity of machining processes, the present study is conducted in the form of an experimental investigation and a multi-objective optimization. The experiments were conducted by face milling AISI 1045 steel on a Computer Numerical Controlled (CNC) milling machine using a carbide cutting tool. The Cu-nano-fluid, dispersed in distilled water, was impinged in small quantity cooling lubrication (SQCL) spray applied to the cutting zone. The data of surface roughness and active cutting energy were measured while the material removal rate was calculated. A multi-objective optimization was performed by the integration of the Taguchi method, Grey Relational Analysis (GRA), and the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The optimum results calculated were a cutting speed of 1200 rev/min, a feed rate of 320 mm/min, a depth of cut of 0.5 mm, and a width of cut of 15 mm. It was also endowed with a 20.7% reduction in energy consumption. Furthermore, the use of SQCL promoted sustainable manufacturing. The novelty of the work is in reducing energy consumption under nano fluid assisted machining while paying adequate attention to material removal quantity and the product’s surface quality. |
| first_indexed | 2024-04-11T12:16:45Z |
| format | Article |
| id | doaj.art-0334b11c73f946cb9b280fc46d4425ab |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:16:45Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0334b11c73f946cb9b280fc46d4425ab2022-12-22T04:24:18ZengMDPI AGEnergies1996-10732019-02-0112471010.3390/en12040710en12040710Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face MillingAqib Mashood Khan0Muhammad Jamil1Konstantinos Salonitis2Shoaib Sarfraz3Wei Zhao4Ning He5Mozammel Mia6GuoLong Zhao7College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaManufacturing Department, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedfordshire, MK43 0AL, UKManufacturing Department, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedfordshire, MK43 0AL, UKCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaMechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, BangladeshCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaConsidering the significance of improving the energy efficiency, surface quality and material removal quantity of machining processes, the present study is conducted in the form of an experimental investigation and a multi-objective optimization. The experiments were conducted by face milling AISI 1045 steel on a Computer Numerical Controlled (CNC) milling machine using a carbide cutting tool. The Cu-nano-fluid, dispersed in distilled water, was impinged in small quantity cooling lubrication (SQCL) spray applied to the cutting zone. The data of surface roughness and active cutting energy were measured while the material removal rate was calculated. A multi-objective optimization was performed by the integration of the Taguchi method, Grey Relational Analysis (GRA), and the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The optimum results calculated were a cutting speed of 1200 rev/min, a feed rate of 320 mm/min, a depth of cut of 0.5 mm, and a width of cut of 15 mm. It was also endowed with a 20.7% reduction in energy consumption. Furthermore, the use of SQCL promoted sustainable manufacturing. The novelty of the work is in reducing energy consumption under nano fluid assisted machining while paying adequate attention to material removal quantity and the product’s surface quality.https://www.mdpi.com/1996-1073/12/4/710energy consumptionenergy efficiencysustainable machiningmulti-objective optimizationmulti-criteria decision making methodsmall quantity cooling lubrication SQCLcu nanofluid |
| spellingShingle | Aqib Mashood Khan Muhammad Jamil Konstantinos Salonitis Shoaib Sarfraz Wei Zhao Ning He Mozammel Mia GuoLong Zhao Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling Energies energy consumption energy efficiency sustainable machining multi-objective optimization multi-criteria decision making method small quantity cooling lubrication SQCL cu nanofluid |
| title | Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling |
| title_full | Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling |
| title_fullStr | Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling |
| title_full_unstemmed | Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling |
| title_short | Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling |
| title_sort | multi objective optimization of energy consumption and surface quality in nanofluid sqcl assisted face milling |
| topic | energy consumption energy efficiency sustainable machining multi-objective optimization multi-criteria decision making method small quantity cooling lubrication SQCL cu nanofluid |
| url | https://www.mdpi.com/1996-1073/12/4/710 |
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