Adhesion of cutting tool and chip often occurs when machining stainless steels with cemented carbide tools. Wear mechanism of cemented carbide tool in high speed milling of stainless steel 0Cr13Ni4 Mo was studied in t...Adhesion of cutting tool and chip often occurs when machining stainless steels with cemented carbide tools. Wear mechanism of cemented carbide tool in high speed milling of stainless steel 0Cr13Ni4 Mo was studied in this work. Machining tests on high speed milling of 0Cr13Ni4 Mo with a cemented carbide tool are conducted. The cutting force and cutting temperature are measured. The wear pattern is recorded and analyzed by high?speed camera, scanning electron microscope(SEM) and energy dispersive X?ray spectroscopy(EDS). It is found that adhesive wear was the dominant wear pattern causing tool failure. The process and microcosmic mechanism of the tool’s adhesive wear are analyzed and discussed based on the experimental results. It is shown that adhesive wear of the tool occurs due to the wear of coating, the a nity of elements Fe and Co, and the grinding of workpiece materials to the tool material. The process of adhesive wear includes both microcosmic elements di usion and macroscopic cyclic process of adhe?sion, tearing and fracture.展开更多
The wear forms and reasons of PCBN tools when dry-cutting bearing steel GCr15are studied systematically. The effect law of the workpiece hardness on PCBN tools is gained andtool wearing with the quickest speed at the ...The wear forms and reasons of PCBN tools when dry-cutting bearing steel GCr15are studied systematically. The effect law of the workpiece hardness on PCBN tools is gained andtool wearing with the quickest speed at the workpiece critical hardness is proved. The life equationat two kinds of workpiece hardness demonstrates that the effect of the cutting speed on the PCBNtool life is less than that of carbide tools and ceramic tools.展开更多
In this paper the CNC machining of St52 was modeled using an artificial neural network(ANN)in the form of a four-layer multi-layer perceptron(MLP).The cutting parameters used in the model were cutting fluid flow,feed ...In this paper the CNC machining of St52 was modeled using an artificial neural network(ANN)in the form of a four-layer multi-layer perceptron(MLP).The cutting parameters used in the model were cutting fluid flow,feed rate,spindle speed and the depth of cut and the model output was the tool life.For obtaining more accuracy and spending less time Taguchi design of experiment(DOE)has been used and correlation between the output of the ANN and the experimental results was 96%.Further optimization process has been done by use of a genetic algorithm(GA).After optimization process tool life was increased about 8%equal to 33 min and was corroborated by experimental tests.This demonstrates that the coupling of an ANN with the GA optimization technique is a valid and useful approach to use.展开更多
The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut h...The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut hard metals. In this study, preliminary design of experiment (DOE) test program was conducted to investigate and identify the factors affecting tool wear at the micro-scale with hard material. Analysis of variance (ANOVA) and Taguchi method were efficient to determine appropriate cutting condition and the effect of parameters. A simple model was also developed to predict the width of slots on the workpiece along the cutting length. The obtained results can provide the basic guidelines for parameter setting of micro-end-milling with hard material.展开更多
对于低合金超高强度钢35CrMnSi,在分析材料切削特性的基础上,选择涂层硬质合金刀具进行切削试验.改变切削速度,得到使用寿命曲线和t-v曲线,利用扫描电子显微镜(scanning electron microscopy,SEM)和能谱分析仪(energy dispersive spectr...对于低合金超高强度钢35CrMnSi,在分析材料切削特性的基础上,选择涂层硬质合金刀具进行切削试验.改变切削速度,得到使用寿命曲线和t-v曲线,利用扫描电子显微镜(scanning electron microscopy,SEM)和能谱分析仪(energy dispersive spectrometry,EDS)分析研究了磨损区磨损机理.结果表明:使用寿命在切削速度选取范围内随切削速度的增大而明显减小;前刀面上受到氧化及扩散磨损的作用,呈凹坑状的月牙洼磨损,且凹坑随切屑的流动而增大;硬质相的扩散及黏结作用是造成后刀面磨损的主要原因.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51375099)Shanghai Municipal Natural Science Foundation of China(Grant No.18ZR1441000)Fundamental Research Funds for the Central Universities
文摘Adhesion of cutting tool and chip often occurs when machining stainless steels with cemented carbide tools. Wear mechanism of cemented carbide tool in high speed milling of stainless steel 0Cr13Ni4 Mo was studied in this work. Machining tests on high speed milling of 0Cr13Ni4 Mo with a cemented carbide tool are conducted. The cutting force and cutting temperature are measured. The wear pattern is recorded and analyzed by high?speed camera, scanning electron microscope(SEM) and energy dispersive X?ray spectroscopy(EDS). It is found that adhesive wear was the dominant wear pattern causing tool failure. The process and microcosmic mechanism of the tool’s adhesive wear are analyzed and discussed based on the experimental results. It is shown that adhesive wear of the tool occurs due to the wear of coating, the a nity of elements Fe and Co, and the grinding of workpiece materials to the tool material. The process of adhesive wear includes both microcosmic elements di usion and macroscopic cyclic process of adhe?sion, tearing and fracture.
基金This project is supported by Provincial Natural Science Foundation of China(No.59975026).
文摘The wear forms and reasons of PCBN tools when dry-cutting bearing steel GCr15are studied systematically. The effect law of the workpiece hardness on PCBN tools is gained andtool wearing with the quickest speed at the workpiece critical hardness is proved. The life equationat two kinds of workpiece hardness demonstrates that the effect of the cutting speed on the PCBNtool life is less than that of carbide tools and ceramic tools.
文摘In this paper the CNC machining of St52 was modeled using an artificial neural network(ANN)in the form of a four-layer multi-layer perceptron(MLP).The cutting parameters used in the model were cutting fluid flow,feed rate,spindle speed and the depth of cut and the model output was the tool life.For obtaining more accuracy and spending less time Taguchi design of experiment(DOE)has been used and correlation between the output of the ANN and the experimental results was 96%.Further optimization process has been done by use of a genetic algorithm(GA).After optimization process tool life was increased about 8%equal to 33 min and was corroborated by experimental tests.This demonstrates that the coupling of an ANN with the GA optimization technique is a valid and useful approach to use.
文摘The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut hard metals. In this study, preliminary design of experiment (DOE) test program was conducted to investigate and identify the factors affecting tool wear at the micro-scale with hard material. Analysis of variance (ANOVA) and Taguchi method were efficient to determine appropriate cutting condition and the effect of parameters. A simple model was also developed to predict the width of slots on the workpiece along the cutting length. The obtained results can provide the basic guidelines for parameter setting of micro-end-milling with hard material.
文摘对于低合金超高强度钢35CrMnSi,在分析材料切削特性的基础上,选择涂层硬质合金刀具进行切削试验.改变切削速度,得到使用寿命曲线和t-v曲线,利用扫描电子显微镜(scanning electron microscopy,SEM)和能谱分析仪(energy dispersive spectrometry,EDS)分析研究了磨损区磨损机理.结果表明:使用寿命在切削速度选取范围内随切削速度的增大而明显减小;前刀面上受到氧化及扩散磨损的作用,呈凹坑状的月牙洼磨损,且凹坑随切屑的流动而增大;硬质相的扩散及黏结作用是造成后刀面磨损的主要原因.
