scholarly journals Force Prediction and Cutting-Parameter Optimization in Micro-Milling Al7075-T6 Based on Response Surface Method

Micromachines ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 766
Author(s):  
Menghua Zhou ◽  
Yinghua Chen ◽  
Guoqing Zhang
Keyword(s):  
Response Surface ◽  
Least Square Method ◽  
Cutting Parameters ◽  
Response Prediction ◽  
Least Square ◽  
Micro Milling ◽  
Positive Role ◽  
Cutting Parameter Optimization ◽  
Optimization Of Cutting Parameters ◽  
Milling Forces

Optimization of cutting parameters in micro-milling is an important measure to improve surface quality and machining efficiency of the workpiece. Investigation of micro-milling forces prediction plays a positive role in improving machining capacity. To predict micro-milling forces and optimize micro-milling cutting parameters (per-feed tooth (fz), axial cutting depth (ap), spindle speed (n) and tool extended length (l)), a rotatable center composite experiment of micro-milling straight micro-groove in the workpiece of Al7075-T6 were designed, based on second-order response surface methods. According to the experiment results, the least square method was used to estimate the regression coefficient corresponding to the cutting parameters. Simultaneously, the response prediction model of micro-milling was established and successfully coincide the predicted values with the experiment values. The significance of the regression equation was tested by analysis of variance, and the influence of micro-milling cutting parameters on force and top burrs morphology was studied. The experiment results show that in a specific range of cutting parameters, ap and fz have a significant linear relation with the micro-milling force and the top burrs width. According to the optimal response value, the optimized cutting parameters for micro-milling obtained as: n is 11,393 r/min, fz is 6 µm/z, ap is 11 μm and l is 20.8 mm. The research results provide a useful reference for the selection of cutting parameters for micro-milling.

Cutting Force Empirical Model of High-Speed Precision Hard Cutting GCr15

2009 ◽  
Vol 69-70 ◽  
pp. 301-305
Author(s):  
Jing Shu Hu ◽  
Yuan Sheng Zhai ◽  
Fu Gang Yan ◽  
Yu Fu Li ◽  
Xian Li Liu
Keyword(s):  
Cutting Force ◽  
Empirical Model ◽  
High Speed ◽  
Orthogonal Design ◽  
Cutting Speed ◽  
Least Square Method ◽  
Cutting Parameters ◽  
Least Square ◽  
Physical Parameters ◽  
Hard Cutting

In the cutting process, cutting force is one of the important physical parameters, which affects the generation of cutting heat, tool life and surface precision of workpiece directly. In this paper an orthogonal design of experiment and subsequent data is analyzed using high speed finish hard cutting GCr15 whose hardness is 65HRC. Cutting speed is 200-400m/min, to study the influence of cutting parameters on cutting force, cutting force empirical model has obtained from least square method.

Study on the Cutting Parameter Optimization of Medical Titanium Alloy Based on Tools Durability

2007 ◽  
Vol 24-25 ◽  
pp. 103-108
Author(s):  
Q.L. Du ◽  
X.H. Chen ◽  
Ke Hua Zhang
Keyword(s):  
Titanium Alloy ◽  
Parameter Optimization ◽  
Cutting Tool ◽  
Tool Material ◽  
Cutting Parameters ◽  
Online Optimization ◽  
Geometrical Parameters ◽  
Cutting Parameter Optimization ◽  
Optimization Of Cutting Parameters ◽  
Tool Durability

In this paper, based on analyzing the properties of medical Ti-6Al-4V Titanium alloy, the author takes the purpose of studying the machinability of the medical Ti-6Al-4V Titanium alloy and aims at improving the tool durability. The study starts from the tool material, geometrical parameters of the tools, usage for the cutting and other aspects in order to achieve the suitability of selecting cutting tool as well as the optimization of choosing cutting usage which lays the foundation for further investigation of the machinability of the medical Ti-6Al-4V Titanium alloy and carry out the online optimization of cutting parameters.

Experimental Study on Coupling Characteristics of Cutting Heat and Cutting Vibration Under Different Tool Wear States

2021 ◽  
Author(s):  
Songyuan Li ◽  
Shuncai Li ◽  
Yuting Hu ◽  
Eugene Popov
Keyword(s):  
Regression Model ◽  
Temperature Rise ◽  
Mechanical Vibration ◽  
Cutting Temperature ◽  
Least Square Method ◽  
Cutting Parameters ◽  
Least Square ◽  
Cutting Heat ◽  
Cutting Vibration ◽  
Coupling Characteristics

Abstract The thermo-mechanical-vibration coupling characteristics of turning system has always been an important research topic in the field of machining, and the material, states and performance of cutting tools will directly affect this coupling characteristics. In this paper, a synchronous testing system for cutting temperature and cutting vibration is built to collect the cutting temperature and cutting vibration near the tip of three worn tools D1 (new blade), D2 (moderately worn blade) and D3 (severely worn blade). Based on the test data and the grey correlation theory, the coupling characteristics of cutting temperature rise and cutting vibration of tools in different wear states are analyzed. Based on the experimental data and least square method, (1) the regression model of cutting temperature rise about cutting vibration and cutting parameters (2) the regression model of cutting vibration about cutting temperature rise and cutting parameters have been established respectively. The undetermined parameters and correlation coefficients are obtained by MATLAB software programming. The research show that the coupling of cutting heat and cutting vibration of tools D1 and D2 is one-way coupling, that is, cutting vibration significantly affects cutting heat, but cutting heat has little effect on cutting vibration, while the coupling of cutting heat and cutting vibration of tool D3 is a bidirectional coupling.

Sign in / Sign up

Export Citation Format

Share Document