A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost

Xiao, Yongmao; Jiang, Zhigang; Gu, Quan; Yan, Wei; Wang, Ruping

doi:10.1016/j.jmsy.2021.03.023

Cited by 63 publications

(20 citation statements)

References 34 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%

“…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. Xiao et al [26] established a multi-objective optimization model, and proposed a combined optimization algorithm based on particle swarm optimization and NSGA-II to solve the model. In the above study, the production process parameters were optimized, and quantitative analysis was used to compare and verify the data.…”

Section: Introductionmentioning

confidence: 99%

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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

Self Cite

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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

Self Cite

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“…During feed execution, the power includes two parts: loss power of the feed motor itself and output power of the feed motor shaft. According to our previous research results, the feed power is expressed as a quadratic function of the feed speed [38]: (7) where P XF , P YF and P ZF are the feed power of the X, Y and Z axes of the CNC lathe, W; C x0 , C y0 and C z0 are constant terms; and C x1 , C x2 , C y1 , C y2 , C z1 and C z2 are coefficients, which are obtained according to experimental measurement and statistical analysis.…”

Section: Steady State Process Energy Consumption Modelmentioning

confidence: 99%

“…Therefore, domestic and foreign scholars are increasingly active in the research on energy consumption modeling and energy-saving and emission reduction methods of CNC machine tools [3][4][5][6]. In the process of CNC machining, the reasonable selection of process parameters not only affects the indexes of machining cost [7], quality [8] and efficiency [9], but also is closely related to the energy consumption of machine tools [10]. How to optimize the process parameters in the machining process of CNC machine tools is an urgent basic scientific problem to be solved under the background of green manufacturing [11].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of CNC Turning Process Parameters Considering Transient-Steady State Energy Consumption

Jia

Wang

et al. 2021

Sustainability

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Energy-saving and emission reduction are recognized as the primary measure to tackle the problems associated with climate change, which is one of the major challenges for humanity for the forthcoming decades. Energy modeling and process parameters optimization of machining are effective and powerful ways to realize energy saving in the manufacturing industry. In order to realize high quality and low energy consumption machining of computer numerical control (CNC) lathe, a multi-objective optimization of CNC turning process parameters considering transient-steady state energy consumption is proposed. By analyzing the energy consumption characteristics in the process of machining and introducing practical constraints, such as machine tool equipment performance and tool life, a multi-objective optimization model with turning process parameters as optimization variables and high quality and low energy consumption as optimization objectives is established. The model is solved by non-dominated sorting genetic algorithm-II (NSGA-II), and the pareto optimal solution set of the model is obtained. Finally, the machining process of shaft parts is studied by CK6153i CNC lathe. The results show that 38.3% energy consumption is saved, and the surface roughness of workpiece is reduced by 47.0%, which verifies the effectiveness of the optimization method.

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“…In fact, the optimization of energy consumption is quite a popular research topic. The most influential parameters on machining cost are the toolpath, cutting tool selection, and tool sequence [31][32][33]. Machining parameters also influence the machine's energy consumption during milling.…”

Section: Introductionmentioning

confidence: 99%

Build-Up an Economical Tool for Machining Operations Cost Estimation

Silva

Sousa

Pinto

et al. 2022

Metals

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Currently, there is a lack of affordable and simple tools for the estimation of these costs, especially for machining operations. This is particularly true for manufacturing SMEs, in which the cost estimation of machined parts is usually performed based only on required material for part production, or involves a time-consuming, non-standardized technical analysis. Therefore, a cost estimation tool was developed, based on the calculated machining times and amount of required material, based on the final drawing of the requested workpiece. The tool was developed primarily for milling machines, considering milling, drilling, and boring/threading operations. Regarding the considered materials, these were primarily aluminum alloys. However, some polymer materials were also considered. The tool first estimates the required time for total part production and then calculates the total cost. The total production time is estimated based on the required machining operations, as well as drawing, programming, and machine setup time. A part complexity level was also introduced, based on the number of details and operations required for each workpiece, which will inflate the estimated times. The estimation tool was tested in a company setting, comparing the estimated operation time values with the real ones, for a wide variety of parts of differing complexity. An average error of 14% for machining operation times was registered, which is quite satisfactory, as this time is the most impactful in terms of machining cost. However, there are still some problems regarding the accuracy in estimating finishing operation times.

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A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost

Cited by 63 publications

References 34 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

Multi-Objective Optimization of CNC Turning Process Parameters Considering Transient-Steady State Energy Consumption

Build-Up an Economical Tool for Machining Operations Cost Estimation

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