Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

Nguyen, Trung-Thanh; Pham, Quoc-Hoang; Dang, Xuan-Phuong; Doan, Tat Khoa; Le, Xuan-Hung

doi:10.17559/tv-20180715085107

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Here, we will collect the edge cuts of the JA-BE-JA algorithm based on the BSP-Spark platform in the distributed segmentation of 4 image datasets with data sizes ranging from small to large, then collect the edge cuts of the JA-BE-JA algorithm based on the BSP-PeerSim platform in the same dataset, and collect them after 1200 supersteps to ensure the accuracy of the experiment [ 21 – 23 ]. The experimental results are shown in Figures 7 and 8 .…”

Section: Results and Analysismentioning

confidence: 99%

A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method

Yuan-xia

2022

Computational Intelligence and Neuroscience

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This article focuses on the analysis of large-scale distribution network reconstruction fused with graph theory and graph partitioning algorithms. Graph theory and graph segmentation algorithms have been rushed by many researchers in the fields of medicine, drone, and neural network. It is a newcomer in the field of computer vision, which can not only realize the division in color but also divide it by image data. The distribution network is also indispensable for new energy, electric machines, but the traditional distribution network has many problems, such as not suitable for distributed power access and excessive network loss. To improve the performance of distribution networks and reduce network losses, this paper A multi-division model for distribution network construction and reconstruction is established, and a graph theory-based division algorithm method is proposed to effectively solve the problem of feeder-to-feeder reconstruction during large-scale distribution in distribution networks. Through its superconductivity phenomenon and the characteristics of clustering algorithm division, this paper uses formulas to show its division principle and gives examples of various distribution network reconstruction algorithms to explore which method of improvement can improve the performance of the distribution network and reduce network losses. The number of iterations is also strictly considered, and the value is taken after multiple iterations to reduce the error. Through the distribution network calculation example, the network loss reduction value is obtained, and the distribution network fault repair model is exemplified. The picture is used to briefly describe the process of distribution network reconstruction and find that the faults of the distribution network can be quickly located and isolated through the FTU, and quickly repaired. Finally, in order to reduce the network loss, reduce the load of power flow calculation, and solve the problem of local optimization, a JA-BE-JA optimization algorithm based on large-scale distribution network reconfiguration is proposed. The mixed sampling method is preferred to test the number of divisions in the four states, and the parameters are selected to test the performance of the improved annealing simulation algorithm, and the conclusion is drawn as follows: the improved graph segmentation algorithm has strong robustness, can avoid local optimization of graph data, and can reduce network loss. Compared with traditional distribution network reconstruction methods, the network loss can be reduced to 454.3 KW, which can be optimized by 10.68% compared with the initial network loss.

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Section: Results and Analysismentioning

confidence: 99%

A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method

Yuan-xia

2022

Computational Intelligence and Neuroscience

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“…The influence of depth of cut (a p ), spindle speed (S), tip radius (r), and the feed rate (f z ) were explored though the grey relational analysis (GRA) technique. It was deduced from the results, that processing factors greatly affected the machining power and the radius had a considerable effect on the roughness criteria [22][23][24]. P20 steel was machined in a CNC milling machine, during which the process parameters that had an impact on the power consumption were investigated.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method

Azim

Noor

Khalid

et al. 2020

Metals

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Design and manufacturing are the key steps in the sustainable manufacturing of any product to be produced. Within the perspective of injection molds production, increased competitiveness and repeated changes in the design require a complete optimized manufacturing process. Local and minor improvements in the milling process do not generally lead to an optimized manufacturing process. The goal of the new geometry and parametric analysis of the mould is to reduce the quality issues in mild steel grade 60. In this explicit research, the surface roughness (smoothness) of indigenously produced injection moulds in the local market in Pakistan is investigated. The CNC milling machine (five-axis) is used for the manufacturing of an injection mould, and the Taguchi method of the design of the experiment is applied for parameters optimization. Hence, the overall process is assisted in balancing the milling machine parameters to trim down the surface roughness issue in mild steel moulds and increase their sustainability. The spindle speed (rpm), the depth of cut (mm), and the feed rate (mm/rev) are considered as input variables for process optimization, and the experiments are performed on mild steel grade 60. It is deduced that the combination of a spindle speed of 800 rpm, feed rate of 10 mm/rev and depth of cut of 0.5 mm is the best case in case of minimum surface roughness, which leads to sustainable products. It is also deduced from ANOVA, that the spindle speed is a factor that affects the surface roughness of mild steel products, while the feed rate turns out to be insignificant.

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The Economic Analysis on the Competitiveness of Small Towns with Sports Characteristics under the Guidance of “Diamond Model” Theory

2021

Discrete Dynamics in Nature and Society

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The sunrise industry of sports characteristic town under the transformation of economic development and the change of social demand contradiction is also a new growth point of sports industry economy. If we avoid homogeneous competition and improve the comprehensive competitiveness of small towns with sports characteristics, it will be a hot issue studied by scholars at home and abroad. The “Diamond Model” theory finds out the shortcomings of the development of sports characteristic towns by analyzing the factors of production, demand conditions, relevant supporting industries, and development strategies and puts forward the corresponding countermeasures. MATLAB simulation results show that the “Diamond Model” theory can improve the comprehensive competitiveness of sports characteristic towns, reduce the consumption of existing resources, and make a good prediction of the future development trend. Therefore, Porter’s “Diamond Model” theory can provide guidance for the improvement of the comprehensive competitiveness of sports characteristic towns, and this study can provide theoretical and case support for relevant domestic research.

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Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

Cited by 3 publications

References 26 publications

A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method

A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method

Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method

The Economic Analysis on the Competitiveness of Small Towns with Sports Characteristics under the Guidance of “Diamond Model” Theory

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