Groove Overhang Impact on the Result of Surface Roughness on Vertical CNC Milling Process

2016 ◽  
Vol 836 ◽  
pp. 191-196
Author(s):  
Agus Sujatmiko ◽  
Moh Hartono ◽  
R. Edy Purwanto
Keyword(s):  
Surface Roughness ◽  
Rectangular Cross Section ◽  
Cutting Parameters ◽  
Milling Process ◽  
Numerical Control ◽  
Surface Measurement ◽  
Work Piece ◽  
Cnc Milling ◽  
End Mill ◽  
Minimum Level

Computer Numerical Control (CNC) vertical milling is a cutting tool of a work piece by giving CNC G-code program to the milling machine to give the chisel end mill perpendicular to the surface of the work piece. The distance between overhang tool and holder is usually not standard causing the end mill chisel experience minimum and maximum deflection during the cutting process. This research observed the cutting and measuring the surface roughness of the specimen made of BJ37 mild steel. It is of a square shape with a rectangular cross-section cutting parameters of overhang groove, vibration and feeding from the left, the middle, and the right surface. Measurement was done by testing the surface roughness under the conditions of changing the overhang groove, vibration, and small feeding. The observations result in smaller deflection and angle to obtain Ra = 1.64 μm average minimum level of roughness using 25mm overhang with the same feeding of 0.18mm/rev. Ra = 1.64 μm is classified into Group N7 smooth, compared to the use standard 35mm overhang which obtains Ra = 1.88 μm, Group N7 normal. The minimum level of roughness can be obtained due to the smaller feeding.

scholarly journals Surface Quality Comparison of Down and Up cut Technique on CNC Milling Machine toward ST-37 Steel Material

2020 ◽  
Vol 2 (1) ◽  
pp. 11-20
Author(s):  
Eko Indrawan ◽  
Yufrizal A ◽  
Rifelino Rifelino ◽  
Rahmad Fajri Ula Agus Herianto
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Cutting Speed ◽  
Lower Surface ◽  
Milling Process ◽  
Cnc Milling ◽  
End Mill ◽  
Good Surface ◽  
Steel Material ◽  
Mill Cutter

The purpose of this research is comparing down and up cut technique on milling process toward ST-37 steel material by using HSS Ø12 mm end mill cutter. The surface roughness result of down cut technique is achieved Ra 2.39 μm which is equivalent to N7 roughness level at lowest cutting speed 20 m/mnt. Moreover, the highest roughness Ra 3.61 μm obtained at highest cutting speed 30 m/mnt which is equivalent to N8 roughness level. While, the quality of up cut technique yield the roughnes Ra 3.94 μm, equivalent to N8 roughness level at lowest cutting speed 20 m/minute, whilst, Ra 6.01 μm that equivalent to N9 roughness level on highest cutting speed condition 30 m/minute. The surface roughnes value achieved between N7-N9 level (ISO). Down cut technique is recommended in order to achieve good surface quality, because it could be generate lower surface roughness on material. Tujuan dari penelitian ini adalah membandingkan teknik down cut dan up cut pada proses freis terhadap material baja ST-37 dengan menggunakan end mill cutter diameter Ø12 mm. Hasil kekasaran permukaan dari teknik down cut adalah Ra 2,39 μm yang setara dengan level kekasaran N7 pada kecepatan potong terendah 20 m/mnt. Selanjutnya, kekasaran tertinggi Ra 3,61 μm diperoleh pada kecepatan potong tertiggi 30 m/mnt yang setara dengan level kekasaran N8. Sementara itu, kualitas teknik up cut menghasilkan kekasaran Ra 3,94 μm yang setara dengan level kekasaran N8 pada kecepatan potong terendah 20 m/mnt, sedangkan Ra 6,01 μm yang setara dengan level N9 pada kecepatan potong tertinggi 30 m/mnt. Harga kekasaran permukaan material diperoleh di antara level N7-N9 (nomor kekasaran ISO). Teknik down cut direkomendasikan untuk memperoleh kualitas permukaan yang baik, karena teknik ini dapat menghasilkan kekasaran permukaan yang lebih rendah pada benda kerja.

scholarly journals Influence of Tool Path Strategies and Pocket Geometry on Surface Roughness in Pocket Milling

2020 ◽  
Vol 9 (2) ◽  
pp. 884-888
Keyword(s):  
Surface Roughness ◽  
Tool Path ◽  
Cutting Tool ◽  
Cutting Parameters ◽  
Milling Process ◽  
End Mill ◽  
Roughness Measurement ◽  
Machining Processes ◽  
Pocket Milling ◽  
Carbide Insert

This paper discusses the effect of tool path strategies and pocket geometry to surface roughness due to pocket milling process. The machining processes have been performed on mould steel DF2 using carbide insert end mill as the cutting tool. The cutting parameters for this experiment were kept constant while the variables were cutting tool, path strategies and pocket geometries at three levels each. The effectiveness of different tool path strategy and different pocket geometry is evaluated in terms of measured surface roughness (Ra) of the workpiece. The grade of a pocket is directly proportional with its surface roughness. The lowest surface roughness measurement was produced by pocket geometry B with parallel spiral cutting tool path strategy.

The Predicted Model of Surface Roughness in Resharpening End-Mill for Tool Grinder

2006 ◽  
Vol 505-507 ◽  
pp. 523-528
Author(s):  
H.S. Lu ◽  
B.Y. Lee ◽  
C.T. Chung ◽  
Y.L. Liu
Keyword(s):  
Surface Roughness ◽  
Computer Program ◽  
Cutting Parameters ◽  
Training Data ◽  
Depth Of Cut ◽  
End Mill ◽  
Factors Affecting ◽  
Predicted Model ◽  
Predicted Values ◽  
Major Factors

This paper presents a predicted model of surface roughness of radial relief for resharpening end-mill. This model is constructed using a polynomial network. The major factors affecting grinding parameters are considered to be wheel spindle speed, feedrate, and grinding depth of cut. Experiments under specified conditions are deliberately designed and conducted to obtain the corresponding tested data for surface roughness that are used for training data of the proposed polynomial network. Consequently, a predicted model for surface roughness is established. Furthermore, a computer program in VB language is written based on this model. It can quickly calculate predicted values of surface roughness by simply inputting required cutting parameters. According to the experimental results, the developed polynomial network model shows high predicting capability on surface roughness of radial relief, and possesses promising potential in the application of predicting surface roughness in resharpening end-mill operation.

DNC Method for Flatness Reduction by Machine Tool Error Compensation in Planning Processes

2006 ◽  
Author(s):  
P. Franco ◽  
M. Estrems ◽  
F. Faura
Keyword(s):  
Machine Tool ◽  
Error Compensation ◽  
Cutting Tool ◽  
Milling Process ◽  
Numerical Control ◽  
Cnc Milling ◽  
Metrological Analysis ◽  
Workpiece Material ◽  
Technical Specifications ◽  
Mechanical Components

Milling is a widely used manufacturing process with the main purpose of generating high precision mechanical components of shapes and sizes given by the numerical control programmed cutting tool trajectory. These mechanical components frequently needs the application of milling operations in order to satisfy the technical specifications that corresponds to their dimensional, geometrical and surface quality requirements. For that reason, the effects of different factors such as cutting tool dynamics, fixturing system design, workpiece material behaviour and applied cutting forces on the desired dimensional precision must be studied, as well as cutting tool and machine tool performance. In this work, the relation between machine tool inaccuracies and geometrical tolerances is analyzed, and a methodology is proposed for improving flatness in planing operations by the correction of imperfections detected in cutting tool displacement according to machine tool axis. These machine tool error correction methodology could be implemented in the current CAD/CAM/CAPP techniques as a means of increasing the milling process performance by identification and correction of CNC milling machine imperfections. The deviations in machine tool displacement during cutting process are identified by metrological analysis, and a modified trajectory for cutting tool is defined by direct numerical control (DNC) from systematic error compensation in machine tool.

The Construction of the Management System of CNC Milling Parameters

2012 ◽  
Vol 220-223 ◽  
pp. 385-388
Author(s):  
An Jiang Cai ◽  
Yan Jun Guo ◽  
Shi Hong Guo ◽  
Ming Wei Ding
Keyword(s):  
Management System ◽  
Aircraft Engine ◽  
Milling Process ◽  
Numerical Control ◽  
Machining Parameters ◽  
Cnc Milling ◽  
Information Efficiency ◽  
Manufacturing Enterprises ◽  
Milling Parameters ◽  
Machinery Manufacturing

CNC Milling Process for the complex characteristics, in order to solve how to quickly and effectively to provide a reasonable and optimal machining parameters of CNC milling process for technologist. The paper takes horizontal machining center DMC60H as a test platform and technological data of shell aluminum alloy hydraulic aircraft engine parts as a study. the paper establish management system of CNC milling parameters which was suitable for machinery manufacturing enterprises. The results showed that: The established parameters of CNC milling system can be better management of various CNC milling technology to effectively manage information and improve the CNC milling process information efficiency, has certain promotion effect to the production of the numerical control milling processing and the development of the manufacturing enterprises.

Estimation of fractal dimension and surface roughness based on material characteristics and cutting conditions in the end milling of carbon steels

2015 ◽  
Vol 231 (8) ◽  
pp. 1423-1437 ◽  
Author(s):  
Xue Zuo ◽  
Hua Zhu ◽  
Yuankai Zhou ◽  
Jianhua Yang
Keyword(s):  
Surface Roughness ◽  
Fractal Dimension ◽  
Feed Rate ◽  
End Milling ◽  
Cutting Parameters ◽  
Carbon Steels ◽  
Spindle Speed ◽  
Numerical Control ◽  
Material Hardness ◽  
Milled Surface

Cutting parameters and material properties have important effects on the quality of milled surface, which can be characterized by fractal dimension and surface roughness. The relationships between two surface parameters (surface roughness and fractal dimension) and material hardness, elongation, spindle speed and feed rate were investigated, respectively, in this study. Four carbon steels, that is, AISI 1020, Gr 50, 1045 and 1566, were milled with five spindle speeds and four feed rates on a computer numerical control machine. The surface topographies were measured with a three-dimensional profiler. The surface profiles were obtained by re-sampling the data points on the surface topography in the measurement direction. The surface roughness and fractal dimension were calculated from the two-dimensional profiles, where the fractal dimension was obtained by the root-mean-square method. The results showed that for specific spindle speed and feed rate, the roughness of the milled surface decreased with the workpiece hardness, whereas the elongation and fractal dimension increased with the hardness. Based on the material hardness and elongation, spindle speed and feed rate, empirical formulae were established to quantitatively estimate the surface roughness and fractal dimension. Moreover, the spindle speed and feed rate can be easily calculated from the empirical formulae to achieve a surface with the desired surface roughness and fractal dimension. The empirical formulae have been demonstrated with the experiments and were shown to be applicable in estimating the surface roughness and fractal dimension for all carbon steels in end milling. The results are instructive for the fractal dimension estimation of the machined surfaces of carbon steel, which has not been previously studied.

Prediction of Surface Roughness Profiles for Milling Process with Fractal Parameters Based on LS-SVM

2010 ◽  
Vol 97-101 ◽  
pp. 1186-1193 ◽  
Author(s):  
Ben Gan ◽  
Yi Jian Huang ◽  
Gui Xia Zheng
Keyword(s):  
Surface Roughness ◽  
Cutting Parameters ◽  
Milling Process ◽  
Face Milling ◽  
Cutting Conditions ◽  
Vertical Scaling ◽  
Support Vector ◽  
Fractal Function ◽  
Milling Operations ◽  
Fractal Parameters

Least squares support vector machines (LS-SVM) were developed for the analysis and prediction of the relationship between the cutting conditions and the corresponding fractal parameters of machined surfaces in face milling operation. These models can help manufacturers to determine the appropriate cutting conditions, in order to achieve specific surface roughness profile geometry, and hence achieve the desired tribological performance (e.g. friction and wear) between the contacting surfaces. The input parameters of the LS-SVM are the cutting parameters: rotational speed, feed, depth of milling. The output parameters of the LS-SVM are the corresponding calculated fractal parameters: fractal dimension D and vertical scaling parameter G. The LS-SVM were utilized successfully for training and predicting the fractal parameters D and G in face milling operations. Moreover, Weierstrass-Mandelbrot（W–M ）fractal function was integrated with the LS-SVM in order to generate an artificially fractal predicted profiles at different milling conditions. The predicted profiles were found statistically similar to the actual measured profiles of test specimens and there is a relationship between the scale-independent fractal coefficients(D and G).

Sign in / Sign up

Export Citation Format

Share Document