Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost
Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production. Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Petra Christian University
2021-06-01
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| Series: | Jurnal Teknik Industri |
| Subjects: |
| _version_ | 1798045174248505344 |
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| author | Bening Maulina Fittamami Eko Pujiyanto Yusuf Priyandari |
| author_facet | Bening Maulina Fittamami Eko Pujiyanto Yusuf Priyandari |
| author_sort | Bening Maulina Fittamami |
| collection | DOAJ |
| description | Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production. Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC turning machining parameters by considering energy consumption, carbon emissions, noise, and production cost. The model is solved using a Multi-objective Genetic Algorithm in Matlab 2016b then the transformation and weighting functions are carried out from the feasible value. Based on the optimization results, the total energy consumption value obtained is 2.50 MJ; total production cost is $ 2.19; total carbon emissions are 5.97 kgCO2, and noise is 236, 19 dB. The sensitivity analysis exhibits the machining parameters that affect the objective function: The cutting speed parameter and the feed rate parameter. This model can be used to improve the manufacturing process and support sustainable manufacturing. |
| first_indexed | 2024-04-11T23:16:22Z |
| format | Article |
| id | doaj.art-41a3fd55f7b741218a84b8a988f55fb0 |
| institution | Directory Open Access Journal |
| issn | 1411-2485 |
| language | English |
| last_indexed | 2024-04-11T23:16:22Z |
| publishDate | 2021-06-01 |
| publisher | Petra Christian University |
| record_format | Article |
| series | Jurnal Teknik Industri |
| spelling | doaj.art-41a3fd55f7b741218a84b8a988f55fb02022-12-22T03:57:36ZengPetra Christian UniversityJurnal Teknik Industri1411-24852021-06-012312534https://doi.org/10.9744/jti.23.1.25-34Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and CostBening Maulina Fittamami0Eko PujiyantoYusuf PriyandariSebelas Maret UniversityGlobal warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production. Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC turning machining parameters by considering energy consumption, carbon emissions, noise, and production cost. The model is solved using a Multi-objective Genetic Algorithm in Matlab 2016b then the transformation and weighting functions are carried out from the feasible value. Based on the optimization results, the total energy consumption value obtained is 2.50 MJ; total production cost is $ 2.19; total carbon emissions are 5.97 kgCO2, and noise is 236, 19 dB. The sensitivity analysis exhibits the machining parameters that affect the objective function: The cutting speed parameter and the feed rate parameter. This model can be used to improve the manufacturing process and support sustainable manufacturing.sustainable manufacturingmulti-objective optimizationenergycostcarbon emissionsnoise |
| spellingShingle | Bening Maulina Fittamami Eko Pujiyanto Yusuf Priyandari Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost Jurnal Teknik Industri sustainable manufacturing multi-objective optimization energy cost carbon emissions noise |
| title | Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost |
| title_full | Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost |
| title_fullStr | Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost |
| title_full_unstemmed | Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost |
| title_short | Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost |
| title_sort | multi objective optimization of machining parameters for multi pass cnc turning to minimize carbon emissions energy noise and cost |
| topic | sustainable manufacturing multi-objective optimization energy cost carbon emissions noise |
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