Research on the Relation between Cutting Parameters and Axial Cutting Force in Helical Milling Process

2013 ◽  
Vol 690-693 ◽  
pp. 2480-2483 ◽  
Author(s):  
Hai Yan Wang ◽  
Xu Da Qin
Keyword(s):  
Regression Model ◽  
Cutting Force ◽  
Tool Life ◽  
Cutting Forces ◽  
Regression Models ◽  
Cutting Parameters ◽  
Milling Process ◽  
Helical Milling ◽  
Die Steel ◽  
Axial Forces

The select of cutting parameters is not only directly related to the productivity, but also related to the change of cutting forces. Axial cutting force is too large to be ignored in the helical milling process. In this paper, the axial forces in helical milling of Cold die steel under different cutting parameters are measured, and the regression model of the axial force about the change of the cutting parameters is established, the influence of the cutting parameters on the axial cutting force is analyzed through the experimental results and the regression models respectively. The main purpose is to control axial cutting force and improve tool life in the cutting process.

Study on Cutting Forces in High-Speed Milling of LF21 Aluminum Alloy and Regression Model of Cutting Forces

2009 ◽  
Vol 69-70 ◽  
pp. 413-417
Author(s):  
Z.H. Wang ◽  
Jun Tan Yuan ◽  
X.Q. Hu ◽  
X.W. Xiong
Keyword(s):  
Regression Model ◽  
Cutting Force ◽  
Cutting Forces ◽  
High Speed ◽  
Cutting Parameters ◽  
Factors Influencing ◽  
Machining Deformation ◽  
Key Factor ◽  
The Right ◽  
Parameter Influence

Cutting force is a key factor influencing the machining deformation of weak rigidity workpieces. In order to reduce the machining deformation and improve the process precision and the surface quality, it is necessary to study the factors influencing the cutting force and build the regression model of cutting forces. Firstly, the cutting parameters influencing cutting force are analyzed for LF21. Secondly, how certain cutting parameter influence the cutting component forces (Fx, Fy, Fz) are studied by the correlation analysis and the approach to choosing the right cutting parameters for machining the weak rigidity workpieces are presented. Finally, the regression model of cutting forces based on the cutting parameters is investigated in this paper.

Analysis of Cutting Forces in Helical Milling Process

2011 ◽  
Vol 215 ◽  
pp. 9-13 ◽  
Author(s):  
H.Y. Wang ◽  
Xu Da Qin ◽  
Qi Wang
Keyword(s):  
Titanium Alloy ◽  
Cutting Force ◽  
Rotational Speed ◽  
Cutting Forces ◽  
Chip Thickness ◽  
Milling Process ◽  
Helical Milling ◽  
Depth Of Cut ◽  
Cutting Experiment ◽  
Tool Cutting

Helical milling is used to generate holes, in which a tool attached to the rotating spindle traverses a helical trajectory, and the diameter of holes will be larger than that of the tool. Based on the principle of helical milling, this paper establishes analytical model of cutting forces. As the cutter travels on the helical path, intersection between the tool and the workpiece changes continuously, in which chip thickness and direction of the cutting forces will vary simultaneously. The cutting forces are not only direct proportional to the axial depth of cut, but also related to the rotational speed and orbital speed of the tool. Cutting experiment is conducted for the titanium alloy. The result shows that the simulated cutting force can be used to predict the change of cutting force under different conditions.

Identification of Cutter Axis Tilt in End Milling

1997 ◽  
Vol 119 (2) ◽  
pp. 178-185 ◽  
Author(s):  
Li Zheng ◽  
S. Y. Liang
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
End Milling ◽  
Chip Thickness ◽  
Cutting Parameters ◽  
Milling Process ◽  
Mathematical Representation ◽  
Thickness Variation ◽  
Dynamic Force ◽  
Force Components

The scope of the paper is to discuss the identification of cutter axis tilt in end milling process via cutting force analysis. Cutter axis tilt redistributes the chip load among flutes thereby generating minor frequency components of cutting forces. These minor components can be utilized to infer the tilt geometry during the cutting action. This study involved the mathematical representation of chip thickness variation due to tilt, the modeling of local forces in relation to instantaneous chip thickness, the formulation of total cutting forces through convolution integration in the angle domain, the derivation of dynamic force components in the frequency domain, and the solution for tilt geometry from the dynamic cutting forces. Results show that the tilt magnitude and orientation can be estimated given the dynamic cutting force components along with the tool/work geometry, cutting parameters, and machining configuration. Numerical simulation results confirmed the validity of the angle domain convolution approach, and the end milling experimental data agreed with the analytical model.

scholarly journals Adaptive Cutting Force Prediction in Milling Processes

2010 ◽  
Vol 4 (3) ◽  
pp. 221-228 ◽  
Author(s):  
Takashi Matsumura ◽  
◽  
Takahiro Shirakashi ◽  
Eiji Usui
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Flow Model ◽  
Flow Direction ◽  
Orthogonal Cutting ◽  
Cutting Parameters ◽  
Milling Process ◽  
Force Model ◽  
Cutting Force Prediction ◽  
Chip Flow

An adaptive force model is presented to predict the cutting force and the chip flow direction in milling. The chip flow model in the milling process is made by piling up the orthogonal cuttings in the planes containing the cutting velocities and the chip flow velocities. The chip flow direction is determined to minimize the cutting energy. The cutting force is predicted using the determined chip flow model. The force model requires the orthogonal cutting data, which associate the orthogonal cutting models with the cutting parameters. Basically, the required data for simulation can be measured in the orthogonal cutting tests. However, it is difficult to perform the cutting tests with specialized setups in the machine shops. The paper presents the adaptive model to accumulate and update the orthogonal cutting data with referring the measured cutting forces in milling. The orthogonal cutting data are identified to minimize the error between the predicted and the measured cutting forces. Then, the cutting forces can be predicted well in many cutting operations using the identified orthogonal cutting data. The adaptive is effective not only in extending the database but also in improving the quality of the database for the accurate predictions.

scholarly journals Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil

2021 ◽  
pp. 74-88
Author(s):  
Nguyen Thanh Cong ◽  
Pham Thi Thieu Thoa ◽  
Dung Hoang Tien
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Cutting Force ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Milling Process ◽  
Lubrication System ◽  
Flow Rates ◽  
Minimum Quantity ◽  
Response Optimization

This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586  and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining process

scholarly journals Research on Cutting Force of Turn-Milling Based on Thin-Walled Blade

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lida Zhu ◽  
Baoguang Liu ◽  
Xiaobang Wang ◽  
Zhiwei Xu
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Metal Removal ◽  
Cutting Parameters ◽  
Milling Process ◽  
Cutting Condition ◽  
Deformation Properties ◽  
Mechanism Research ◽  
Thin Walled ◽  
Turn Milling

Turn-milling is regarded as the milling of a curved surface while rotating the workpiece around its center point, which combines effectively the advantages of both turning and milling, wherein it allows for good metal removal with the difficult-to-cut thin-walled workpieces in aviation. The objective of the present work is to study cutting force by turn-milling in cutting condition. Aiming at the deformation properties of thin-walled blade, the predicted models of rigid cutting force and flexible cutting force with ball cutter are provided, respectively, in turn-milling process. The deformation values of blade and cutter are calculated, respectively, based on the engaged trajectory by using the iterative algorithm. The rigid and flexible cutting forces are compared and the influence degrees of cutting parameters on cutting forces are analyzed. These conclusions provide theoretical foundation and reference for turn-milling mechanism research.

Dynamic cutting force prediction for micro end milling considering tool vibrations and run-out

2018 ◽  
Vol 233 (7) ◽  
pp. 2248-2261 ◽  
Author(s):  
Xuewei Zhang ◽  
Tianbiao Yu ◽  
Wanshan Wang
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
End Milling ◽  
Chip Thickness ◽  
Milling Process ◽  
Force Model ◽  
Dynamic Cutting Force ◽  
Micro End Milling ◽  
Tool Vibrations ◽  
End Milling Process

An accurate prediction of cutting forces in the micro end milling, which is affected by many factors, is the basis for increasing the machining productivity and selecting optimal cutting parameters. This paper develops a dynamic cutting force model in the micro end milling taking into account tool vibrations and run-out. The influence of tool run-out is integrated with the trochoidal trajectory of tooth and the size effect of cutting edge radius into the static undeformed chip thickness. Meanwhile, the real-time tool vibrations are obtained from differential motion equations with the measured modal parameters, in which the process damping effect is superposed as feedback on the undeformed chip thickness. The proposed dynamic cutting force model has been experimentally validated in the micro end milling process of the Al6061 workpiece. The tool run-out parameters and cutting forces coefficients can be identified on the basis of the measured cutting forces. Compared with the traditional model without tool vibrations and run-out, the predicted and measured cutting forces in the micro end milling process show closer agreement when considering tool vibrations and run-out.

scholarly journals Trochoidal Milling and Neural Networks Simulation of Magnesium Alloys

Materials ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2070 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Monika Kulisz ◽  
Mariusz Kłonica ◽  
Jakub Matuszak
Keyword(s):  
Neural Networks ◽  
Cutting Force ◽  
Magnesium Alloys ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Milling Process ◽  
Machining Parameters ◽  
Cutting Force Components ◽  
Multilayered Perceptron ◽  
Force Components

This paper set out to investigate the effect of cutting speed vc and trochoidal step str modification on selected machinability parameters (the cutting force components and vibration). In addition, for a more detailed analysis, selected surface roughness parameters were investigated. The research was carried out for two grades of magnesium alloys—AZ91D and AZ31—and aimed to determine stable machining parameters and to investigate the dynamics of the milling process, i.e., the resulting change in the cutting force components and in vibration. The tests were performed for the specified range of cutting parameters: vc = 400–1200 m/min and str = 5–30%. The results demonstrate a significant effect of cutting data modification on the parameter under scrutiny—the increase in vc resulted in the reduction of the cutting force components and the displacement and level of vibration recorded in tests. Selected cutting parameters were modelled by means of Statistica Artificial Neural Networks (Radial Basis Function and Multilayered Perceptron), which, furthermore, confirmed the suitability of neural networks as a tool for prediction of the cutting force and vibration in milling of magnesium alloys.

Modeling and Simulation of Cutting Forces in Side Milling

2016 ◽  
Vol 693 ◽  
pp. 843-849
Author(s):  
An Hai Li ◽  
Jun Zhao ◽  
He Lin Pan ◽  
Zhao Chao Gong
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Milling Process ◽  
Force Model ◽  
Machining Parameters ◽  
Machining Time ◽  
Side Milling ◽  
Force Coefficients ◽  
Solid Carbide ◽  
Edge Force

In order to acquire high machining quality and minimum machining time, cutting forces are usually modeled to understand the milling process, simulate or predict cutting forces, and optimize the machining parameters. In this paper, side milling tests were conducted on superalloy Inconel 718 with a solid carbide end mill, and the cutting forces vs. cutting time were measured. The average cutting forces were extracted from the measured instantaneous cutting forces under different feed rates of experiments, and the components of the shear forces and edge forces were determined by using the linear regression of the experimental data. The cutting force coefficients, including shear force coefficients and edge force coefficients, were identified. In addition, the algorithms of the mathematical model were implemented in Matlab. The predicted cutting forces were in good agreement with the experimentally measured forces, and the validation of the cutting force model was demonstrated.

Accurate Milling Process Simulation Using ME Z-Map Model

Manufacturing ◽  
2003 ◽  
Author(s):  
Han Ul Lee ◽  
Dong-Woo Cho
Keyword(s):  
Cutting Force ◽  
Process Simulation ◽  
Cutting Forces ◽  
Computing Time ◽  
Milling Process ◽  
Simulation System ◽  
Grid Size ◽  
Force Model ◽  
Cutting Force Model ◽  
Edge Node

In this paper, a milling process simulation system was constructed and ME Z-map (Moving Edge node Z-map) model was developed to elevate the performance of this system. The milling process simulation system computes the cutting configuration and then the cutting forces are predicted using these calculated configurations. In this system, an improved cutting force model which is independent of cutting conditions is used to more precisely predict the cutting forces. In the process, the ME Z-map model was used for more accurate computing of cutting configuration. Due to the edge node, ME Z-map model produces more accurate cutting configuration than the conventional Z-map models even with five to ten times larger grid size, which reduces the computing time dramatically. The superiority of the ME Z-map model was confirmed through comparison with the conventional Z-map.

Sign in / Sign up

Export Citation Format

Share Document