Cutting parameter optimization for machining operations considering carbon emissions

Zhou, Guanghui; Lu, Qi; Xiao, Zhongdong; Zhou, Ce; Tian, Changle

doi:10.1016/j.jclepro.2018.10.191

Cited by 45 publications

(14 citation statements)

References 26 publications

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“…In order to save energy and reduce emissions in the production process, some multiobjective optimization methods and algorithms have been reported at home and abroad. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. However, these studies are only static calculations of different types of production equipment, reporting qualitative analyses of multiple types of equipment.…”

Section: Comparison Of Different Equipment: Optimization Resultsmentioning

confidence: 99%

“…Tian et al [23] established a multi-objective cutting parameter optimization model and tested it using modified NSGA-II algorithm. Zhou et al [24] set up an optimization model and used improved NSGA-II with non-cooperative game theory to verify it. Zhao et al [25] proposed a dynamic cutting parameter optimization method based on digital twin; this method can dynamically find the optimal cutting parameters according to real-time sensor data of machining conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

et al. 2022

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Energy consumption and carbon emission levels in the production process constitute an important basis for the selection of production equipment. The energy consumption and carbon emission levels of the same product produced by different kinds equipment vary greatly from one tool to another. Unfortunately, traditional modes of selection only give qualitative results, so that it is difficult to provide a quantitative reference to enable enterprises to choose appropriate modes of production in the context of the green development concept (GDC). In order to solve this problem, a calculation method for multiple energy consumption and carbon-emission objectives for commodity production is proposed. The focus of this paper is to research the difference between the energy consumption and carbon emission levels of the same product produced by different kinds of equipment. The energy consumption and carbon emissions of different kinds of equipment can be calculated by gray wolf algorithm. The results show that the proposed method can calculate the optimal values of energy consumption and carbon emissions in the same kinds of products produced by different equipment, which can provide assistance for enterprises in choosing the production equipment that best conforms to the green development concept.

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Section: Comparison Of Different Equipment: Optimization Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

et al. 2022

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“…Optimized parameters that had a strong influence on the sustainability of machining processes was the CO 2 emission. Zhou et al [102] stated that the cutting parameters affected emission sources such as workpiece material, energy consumption, and residual emissions.…”

Section: Optimization Of Machining Parametersmentioning

confidence: 99%

Micro-machining of additively manufactured metals: a review

Gomes

Santos

Oliveira

et al. 2021

Int J Adv Manuf Technol

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Metal additive manufacturing (MAM) has attracted significant interest in both academia and industry to produce near-netshape engineering components. The inherent defects in MAM, however, require suitable subtractive techniques as postprocesses to control dimensional and geometric tolerances as well as surface finish. The additively manufactured metals, with different microstructures than the wrought materials that produced by conventional routes, need different approaches and parameters when being machined. This review covers recent published literature on traditional micro-machining as a post-processing operation for MAM and recommends future directions. The text presents a brief review on the main AM processes followed by a comprehensive conventional micro-milling and microdrilling, as well as applications for micromachining. Micro-tool assessment, built-up-edge prediction and prevention, and link of macro/micro-machining are areas for future research.

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“…So energy conservation of machine tools can significantly reduce the carbon emission of manufacturing. To realize the energy consumption reduction of machine tools, many methods have been proposed by researchers, such as machining parameter optimization [4], state control of machines [5], process planning [6], and production scheduling [7].…”

Section: Introductionmentioning

confidence: 99%

Sustainability Evaluation of Process Planning for Single CNC Machine Tool under the Consideration of Energy-Efficient Control Strategies Using Random Forests

Zhang

Jiang

2019

Sustainability

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As an important part of industrialized society, manufacturing consumes a large amount of raw materials and energy, which motivates decision-makers to tackle this problem in different manners. Process planning is an important optimization method to realize the object, and energy consumption, carbon emission, or sustainability evaluation is the basis for the optimization stage. Although the evaluation research has drawn a great deal of attention, most of it neglects the influence of state control of machine tools on the energy consumption of machining processes. To address the above issue, a sustainability evaluation method of process planning for single computer numerical control (CNC) machine tool considering energy-efficient control strategies has been developed. First, four energy-efficient control strategies of CNC machine tools are constructed to reduce their energy consumption. Second, a bi-level energy-efficient decision-making mechanism using random forests is established to select appropriate control strategies for different occasions. Then, three indicators are adopted to evaluate the sustainability of process planning under the consideration of energy-efficient control strategies, i.e., energy consumption, relative delay time, and machining costs. Finally, a pedestal part machined by a 3-axis vertical milling machine tool is used to verify the proposed methods. The results show that the reduction in energy consumption considering energy-efficient control strategies reaches 25%.

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Cutting parameter optimization for machining operations considering carbon emissions

Cited by 45 publications

References 26 publications

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept

Micro-machining of additively manufactured metals: a review

Sustainability Evaluation of Process Planning for Single CNC Machine Tool under the Consideration of Energy-Efficient Control Strategies Using Random Forests

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