An approach for blank dimension design considering energy consumption

Xiao, Yongmao; Zhang, Hua; Jiang, Zhigang

doi:10.1007/s00170-015-8048-4

Cited by 12 publications

(9 citation statements)

References 27 publications

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“…Based on the conclusions of related research [20,39] and our work [27], non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective evolutionary algorithm based on decomposition (MOEA/D) are widely used intelligent algorithms based on GA. The two algorithms have shown great abilities in solving similar engineering problems.…”

Section: Machining Parameter Optimization and Machining Allowance Dismentioning

confidence: 96%

“…One is the average operating time for a certain number of repeats of solving. This indicator is calculated by using Equation (39), where I t in [s] is the average operation time, n I is the number of repeats, and t i in [s] is the lasting time of a single operation. Therefore, I t can be regarded as an indicator to evaluate the solving speed.…”

Section: Performance Evaluation Indicators Of Intelligent Algorithmsmentioning

confidence: 99%

“…The minimum and the maximum values can be used to calculate the normalized values of individuals, as Equation 24shows, and backwards as equal. (39), the number of the operation repeating time was set to be 100, namely n I = 100. After the repeating, the lasting time of each operation t i and all the Pareto solutions were gathered, then Equation (39) was used to calculate the evaluation indexes.…”

Section: Normalized Mop Expression Of the Objective Cylindrical Turningmentioning

confidence: 99%

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Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy

Hong

Tang

et al. 2020

Sustainability

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Machining allowance distribution and related parameter optimization of machining processes have been well-discussed. However, for energy saving purposes, the optimization priorities of different machining phases should be different. There are often significant incoherencies between the existing research and real applications. This paper presents an improved method to optimize machining allowance distribution and parameters comprehensively, considering energy-saving strategy and other multi-objectives of different phases. The empirical parametric models of different machining phases were established, with the allowance distribution problem properly addressed. Based on previous analysis work of algorithm performance, non-dominated sorting genetic algorithm II and multi-objective evolutionary algorithm based on decomposition were chosen to obtain Pareto solutions. Algorithm performances were compared based on the efficiency of finding the Pareto fronts. Two case studies of a cylindrical turning and a face milling were carried out. Results demonstrate that the proposed method is effective in trading-off and finding precise application scopes of machining allowances and parameters used in real production. Cutting tool life and surface roughness can be greatly improved for turning. Energy consumption of rough milling can be greatly reduced to around 20% of traditional methods. The optimum algorithm of each case is also recognized. The proposed method can be easily extended to other machining scenarios and can be used as guidance of process planning for meeting various engineering demands.

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Section: Machining Parameter Optimization and Machining Allowance Dismentioning

confidence: 96%

Section: Performance Evaluation Indicators Of Intelligent Algorithmsmentioning

confidence: 99%

Section: Normalized Mop Expression Of the Objective Cylindrical Turningmentioning

confidence: 99%

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Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy

Hong

Tang

et al. 2020

Sustainability

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“…where E S , E K , and E M represent the startup energy consumption, no-load energy consumption, and processing energy consumption of machine tools, respectively. Reference [27] provided another form of energy consumption for turning operations, as shown in Equation (6):…”

Section: Energy Objectivementioning

confidence: 99%

Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model

2019

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The blank’s dimensions are an important focus of blank design as they largely determine the energy consumption and cost of manufacturing and further processing the blank. To achieve energy saving and low cost during the optimization of blank dimensions design, we established energy consumption and cost objectives in the manufacturing and further processing of blanks by optimizing the parameters. As objectives, we selected the blank’s production and further processing parameters as optimization variables to minimize energy consumption and cost, then set up a multi-objective optimization model. The optimal blank dimension was back calculated using the parameters of the minimum processing energy consumption and minimum cost state, and the model was optimized using the non-dominated genetic algorithm-II (NSGA-II). The effect of designing blank dimension in saving energy and costs is obvious compared with the existing methods.

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“…The most promising of all cutting methods, in terms of productivity and waste, are cutting with a shear and bend breaking. Comprehensive studies of waste-free methods for cutting of the rolled stocks have been widely carried out [3][4][5][6][7][11][12][13][14][15][16][17][18]. During this time, a large amount of information has been accumulated on the nature, mechanisms and criteria of fracture.…”

mentioning

confidence: 99%

Original Research the use of a Neural Network Classifier of Material Facture Criteria for the Rational Choice of the Method for Cutting of Rolled Stocks

Karnaukh

Марков

Kukhar

et al. 2021

Preprint

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To select a rational method for cutting of rolled stocks made from materials with different physical and mathematical properties, an engineer must have the tools to make such a choice. For this, it is proposed to use the well-known synergistic material fracture criteria. In order to find the most informative system of synergetic criteria allowing to classify materials authentically by their fracture sensitivity, the software was developed. It allows to solve the clustering problem in a multidimensional space of parameters and present the obtained information in a visual form using self-organizing Kohonen maps. The cluster analysis of the synergetic criteria of fracture material was carried out. The most informative criterion among the ones characterizing the mechanical properties of steels is the «offset yield strength», among the synergistic ones – «scale criterion». At the same time, among the traditional mechanical features of steels, a set allowing to classify materials with a given integrity by their cutting sensitivity has not been found. It was established that the synergistic criteria: «crack propagation criterion» and «brittleness criterion» are basic informative features. When adding any of the remaining complex criteria («crack nucleation criterion» or «scale criterion»), they form the most informative sets of minimal power, providing the classification of materials by their cutting sensitivity with a given integrity. In order to obtain high quality billets at a minimum conversion cost, recommendations were developed for choice of the method for cutting of rolled stocks in magnitude of criteria values: «crack propagation criterion» and «brittleness criterion». To cut materials «in plastic state», the cutting with a shear should be used, specifically – a closed cut-off scheme or an incompletely closed cut-off scheme with an active transverse clamp or a cut-off scheme with a differentiated rolling clamp. If increased requirements are imposed on the geometric accuracy of the billets, it is recommended to use complex blanking and cutting processes. For cutting materials «in elastoplastic state» there are good reasons to use a cut with a shear, and in particular – an incompletely closed cut-off scheme with an active and passive transverse clamp. Closer to the class interval, it is possible to apply cold bend breaking with the application of an effective stress concentrator. Cold bend breaking should be used to cut «brittle» materials. The carried out experiments confirmed the adequacy of theoretical conclusions and recommendations on the choice of a rational method for cutting of the rolled stocks to obtain high quality billets.

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An approach for blank dimension design considering energy consumption

Cited by 12 publications

References 27 publications

Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy

Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy

Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model

Original Research the use of a Neural Network Classifier of Material Facture Criteria for the Rational Choice of the Method for Cutting of Rolled Stocks

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