Tool wear state recognition based on GWO–SVM with feature selection of genetic algorithm

Liao, Xiaoping; Zhou, Gang; Zhang, Zhenkun; Lü, Juan; Ma, Junyan

doi:10.1007/s00170-019-03906-9

Cited by 66 publications

(33 citation statements)

References 29 publications

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“…Traditional materials and their forming technologies cannot satisfy the growing demand of the high-end application market because of the increasing speed of product upgrades. Many studies on cutting tools have been conducted around the maximum tool cutting performance, reducing tool wear, extending tool life, and improving the quality of processed workpiece surfaces [2].On the contrary, the development of new technologies is no longer a simple technology improvement, but already a reflection of innovation. Further requirements about environmental protection and energy saving have been presented [3].…”

Section: Introductionmentioning

confidence: 99%

Enhanced carbide tool life by the electromagnetic coupling field for sustainable manufacturing

Yuan

Wang

et al. 2020

Int J Adv Manuf Technol

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The effective extension of tool life while maintaining machining quality is an important research topic in advanced machining and sustainable manufacturing. Cemented carbide is widely used as the tool material in different manufacturing processes, and it has various forms and work ranges. However, the internal flaw in the tool material can induce a micro crack which could result in the decrease of tool strength and toughness and affect the tool life. Improving the tool cutting performance, slowing down the tool wear, and enhancing production efficiency are the eternal themes of cutting tool research. This research focused on a P10 cemented carbide tool. The influences of the electromagnetic coupling field (TEMCP) on the carbide tool life and the maximum of tool force are investigated. The correlation analysis between the TEMCP parameters and the tool life index is conducted using SPSS. The experiment proves that the TEMCP can significantly prolong the cemented carbide tool life, and that the magnetic intensity is a dominant factor. The TEMCP enriches the field technology theory and provides technical support for the sustainable manufacturing and research and development of a high-performance tool with important scientific meaning and research potential.

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Section: Introductionmentioning

confidence: 99%

Enhanced carbide tool life by the electromagnetic coupling field for sustainable manufacturing

Yuan

Wang

et al. 2020

Int J Adv Manuf Technol

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“…The tool geometry and the key properties of deposited TiAlSiN layer are summarized in Table 1. The workpiece employed in the milling experiment is AISI 316L stainless steel with a size of 20×10×3cm 3 and the mechanical properties of AISI 316L stainless steel are shown in the Table 2. To evaluate the interface properties between the coating and the matrix, a TiAlSiN coating is deposited on cemented carbide substrate by Physical Vapor Deposition (PVD) technique.…”

Section: Cutting Tool and Workpiece Materialsmentioning

confidence: 99%

Pulsed Magnetic Field Treatment of TiAlSiN Coated Milling Tools For Improved Cutting Performances

Zhang

Chen

et al. 2021

Preprint

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In this study a pulsed magnetic treatment was attempted to improve the cutting performance of the TiAlSiN coated WC-12wt%Co cemented carbide end mills and the effects of the strength of the pulsed magnetic field on the cutting forces, the cutting vibrations, the tool wear, the machined surface roughness and mechanical properties were investigated. It is found that the cutting performances of the coated tools are successfully improved with a relatively lower cutting force and less wear area. The average resultant cutting force Fxyave decrease by 14.53% in the last machining process when the optimum processing parameters of 0.5T magnetic field is used, accompanying a maximum decrease of 46.8% in the cutting vibration. The maximum reductions of 57.65% and 25.4% in the flank wear and the average surface roughness of the workpiece are obtained respectively after the treatment. Both the hardness and toughness of the cemented carbides are slightly improved with the imposition of the field. The improvements in the cutting performance of the tool are attributed to the enhanced adhesion strength between the coating and matrix, which is caused by the increased compressive residual stress induced by the PMT.

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“…According to statistics, the failure shutdown rate caused by tool failure accounts for about 22.4% of the total failure shutdown rate of CNC machine tools. In the actual production process [1], there is a highly nonlinear relationship between the influencing factors and the tool wear [2], so it is difficult to judge the tool wear accurately by the manual method. In order to ensure the accuracy of machining, it is necessary to replace the tool before the tool is severely worn, so it is necessary to replace the tool frequently, but the frequent replacement of the tool reduces the efficiency of production and improves the cost of machining.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network

Gui

Xie

2021

Shock and Vibration

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The multi-information data acquisition system of tool wear condition of CNC lathe is built by acquiring the acoustic emission and vibration acceleration signals. The data of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing under the conditions of different tool wear degrees and different cutting conditions are acquired and analyzed using the orthogonal experimental method. The optimum characteristic frequency band of acoustic emission and vibration acceleration signals was extracted by the wavelet envelope decomposition method so as to recognize tool wear condition as the characteristic parameters. The characteristic information of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing was fused. In addition, the intelligent recognition of tool wear condition during the process of machine tool processing was researched.

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Tool wear state recognition based on GWO–SVM with feature selection of genetic algorithm

Cited by 66 publications

References 29 publications

Enhanced carbide tool life by the electromagnetic coupling field for sustainable manufacturing

Enhanced carbide tool life by the electromagnetic coupling field for sustainable manufacturing

Pulsed Magnetic Field Treatment of TiAlSiN Coated Milling Tools For Improved Cutting Performances

Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network

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