Aluminum-silicon （Al-Si） alloy is very difficult to machine and diamond tools are considered by far the best choice for the machining of these materials. Experimental results in the machining of the Al-Si alloy with...Aluminum-silicon （Al-Si） alloy is very difficult to machine and diamond tools are considered by far the best choice for the machining of these materials. Experimental results in the machining of the Al-Si alloy with diamond coated inserts are presented. Considering the fact that high adhesive strength and fine surface morphology play an importance role in the applications of chemical vapor deposition （CVD） diamond films, multilayer technique combining the hot filament CVD （HFCVD） method is proposed, by which multilayer diamond-coating on silicon nitride inserts is obtained, microcrystalline diamond （MCD）/ nanocrystalline diamond （NCD） film. Also, the conventional monolayer NCD and MCD coated inserts are produced for comparison. The as-deposited diamond films are characterized by field emission scanning electron microscopy （FE-SEM） and Raman spectrum. All the CVD diamond coated inserts and uncoated insert endure the aluminum-silicon alloy turning to estimate their cutting performances. Among all the tested inserts, the MCD/NCD coated insert exhibits the perfect behavior as tool wear due to its very low flank wear and no diamond peeling.展开更多
Under certain cutting conditions in end milling, the signs of cutting forces change from positive to negative during a revolution of the tool. The change of force direction causes the cutting dynamics to be unstable w...Under certain cutting conditions in end milling, the signs of cutting forces change from positive to negative during a revolution of the tool. The change of force direction causes the cutting dynamics to be unstable which results in chatter vibration. Therefore, cutting force signal monitoring and classification are needed to determine the optimal cutting conditions and to improve the efficiency of cut. Artificial neural networks are powerful tools for solving highly complex and nonlinear problems. It can be divided into supervised and unsupervised learning machines based on the availability of a teacher. Hybrid neural network was introduced with both of functions of multilayer perceptron (MLP) trained with the back-propagation algorithm for monitoring and detecting abnormal state, and self organizing feature map (SOFM) for treating huge datum such as image processing and pattern recognition, for predicting and classifying cutting force signal patterns simultaneously. The validity of the results is verified with cutting experiments and simulation tests.展开更多
为研究Ti Al N/Ti N涂层厚度、层数与涂层结构对刀具的磨损、使用寿命的影响,在相同切削条件下,采用有限元软件DEFORM模拟了未涂层刀具、Ti N涂层刀具、Ti Al N复合多层涂层刀具切削45钢的切削过程,分析了不同涂层刀具的温度场、应力场...为研究Ti Al N/Ti N涂层厚度、层数与涂层结构对刀具的磨损、使用寿命的影响,在相同切削条件下,采用有限元软件DEFORM模拟了未涂层刀具、Ti N涂层刀具、Ti Al N复合多层涂层刀具切削45钢的切削过程,分析了不同涂层刀具的温度场、应力场、主切削力与磨损情况分布变化规律,仿真结果表明,相对于未涂层处理刀具和Ti N涂层刀具,Ti Al N复合多层涂层能够明显降低刀具切削力、切削热,减小磨损,保护切削刃,提高刀具的使用寿命,对于复合多层涂层刀具的设计与加工工艺都具有非常重要的参考意义.展开更多
基金Project(50975177)supported by the National Natural Science Foundation of China
文摘Aluminum-silicon （Al-Si） alloy is very difficult to machine and diamond tools are considered by far the best choice for the machining of these materials. Experimental results in the machining of the Al-Si alloy with diamond coated inserts are presented. Considering the fact that high adhesive strength and fine surface morphology play an importance role in the applications of chemical vapor deposition （CVD） diamond films, multilayer technique combining the hot filament CVD （HFCVD） method is proposed, by which multilayer diamond-coating on silicon nitride inserts is obtained, microcrystalline diamond （MCD）/ nanocrystalline diamond （NCD） film. Also, the conventional monolayer NCD and MCD coated inserts are produced for comparison. The as-deposited diamond films are characterized by field emission scanning electron microscopy （FE-SEM） and Raman spectrum. All the CVD diamond coated inserts and uncoated insert endure the aluminum-silicon alloy turning to estimate their cutting performances. Among all the tested inserts, the MCD/NCD coated insert exhibits the perfect behavior as tool wear due to its very low flank wear and no diamond peeling.
文摘Under certain cutting conditions in end milling, the signs of cutting forces change from positive to negative during a revolution of the tool. The change of force direction causes the cutting dynamics to be unstable which results in chatter vibration. Therefore, cutting force signal monitoring and classification are needed to determine the optimal cutting conditions and to improve the efficiency of cut. Artificial neural networks are powerful tools for solving highly complex and nonlinear problems. It can be divided into supervised and unsupervised learning machines based on the availability of a teacher. Hybrid neural network was introduced with both of functions of multilayer perceptron (MLP) trained with the back-propagation algorithm for monitoring and detecting abnormal state, and self organizing feature map (SOFM) for treating huge datum such as image processing and pattern recognition, for predicting and classifying cutting force signal patterns simultaneously. The validity of the results is verified with cutting experiments and simulation tests.
文摘为研究Ti Al N/Ti N涂层厚度、层数与涂层结构对刀具的磨损、使用寿命的影响,在相同切削条件下,采用有限元软件DEFORM模拟了未涂层刀具、Ti N涂层刀具、Ti Al N复合多层涂层刀具切削45钢的切削过程,分析了不同涂层刀具的温度场、应力场、主切削力与磨损情况分布变化规律,仿真结果表明,相对于未涂层处理刀具和Ti N涂层刀具,Ti Al N复合多层涂层能够明显降低刀具切削力、切削热,减小磨损,保护切削刃,提高刀具的使用寿命,对于复合多层涂层刀具的设计与加工工艺都具有非常重要的参考意义.
