Effect of Tool Tilting Angle on Tool Wear and Surface Roughness in Micro Ball End Milling

2011 ◽  
Vol 325 ◽  
pp. 606-611 ◽  
Author(s):  
Kazuya Hamaguchi ◽  
Yuji Kagata ◽  
Hiroo Shizuka ◽  
Koichi Okuda
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Flank Wear ◽  
End Milling ◽  
Depth Of Cut ◽  
End Mill ◽  
Ball End Mill ◽  
Ball End Milling ◽  
Tilting Angle ◽  
Radial Depth

This paper describes the effect of the tool tilting angle on the tool wear and the surface roughness in micro ball end milling. The cutting tests of hardened stainless steel were carried out by using of the micro ball end mill with radius of 100mm under the conditions of tilting angle from 0° to 45°. The spindle speed was fixed in a constant of 120,000 min-1. The feed per tooth, axial depth of cut and radial depth of cut were also fixed. The flank wear, the surface roughness and the cutting force were investigated. As a result, the maximum width of flank wear of the micro ball end mill tended to decrease with an increase in the tilting angle of spindle. The surface roughness became almost constant not depending on the tilting angle of the spindle.

Experimental Investigation on Tool Wear when End-Milling Inconel 718 with Coated Carbide Inserts

2011 ◽  
Vol 188 ◽  
pp. 410-415 ◽  
Author(s):  
Yuan Wei Wang ◽  
Jian Feng Li ◽  
Z.M. Li ◽  
Tong Chao Ding ◽  
Song Zhang
Keyword(s):  
Tool Wear ◽  
Inconel 718 ◽  
Flank Wear ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Radial Depth ◽  
Coated Carbide ◽  
Carbide Inserts

In this paper, some experiments were conducted to investigate tool wear when end-milling Inconel 718 with the TiAlN-TiN PVD coated carbide inserts. The worn tools were examined thoroughly under scanning electron microscope (SEM) with Energy Dispersive X-ray Spectroscopy and 3D digital microscope to expatiate tool wear morphologies and relevant mechanisms. The flank wear was uniformity in finishing milling process, and the average flank wear were selected as the criterion to study the effects of cutting parameters (cutting speed, feed per tooth, radial depth of cut, and axial depth of cut) on tool wear. Finally, the optimal combination of the cutting parameters for the desired tool life is obtained.

Parameter Optimization of Ball End Milling Process on Inconel 718 Using RSM and TLBO Algorithm

2015 ◽  
Vol 15 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Nandkumar N. Bhopale ◽  
Nilesh Nikam ◽  
Raju S. Pawade
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Integrity ◽  
Inconel 718 ◽  
Tool Path ◽  
End Milling ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Ball End Milling

AbstractThis paper presents the application of Response Surface Methodology (RSM) coupled with Teaching Learning Based Optimization Technique (TLBO) for optimizing surface integrity of thin cantilever type Inconel 718 workpiece in ball end milling. The machining and tool related parameters like spindle speed, milling feed, axial depth of cut and tool path orientation are optimized with considerations of multiple response like deflection, surface roughness, and micro hardness of plate. Mathematical relationship between process parameters and deflection, surface roughness and microhardness are found out by using response surface methodology. It is observed that after optimizing the process that at the spindle speed of 2,000 rpm, feed 0.05 mm/tooth/rev, plate thickness of 5.5 mm and 15° workpiece inclination with horizontal tool path gives favorable surface integrity.

A Comprehensive Study on Surface Roughness in Machining of AISI D2 Hardened Steel

2012 ◽  
Vol 576 ◽  
pp. 60-63 ◽  
Author(s):  
N.A.H. Jasni ◽  
Mohd Amri Lajis
Keyword(s):  
Surface Roughness ◽  
High Speed ◽  
End Milling ◽  
Cutting Speed ◽  
Hardened Steel ◽  
Depth Of Cut ◽  
Feed Speed ◽  
Radial Depth ◽  
Aisi D2 ◽  
Coated Carbide

Hard milling of hardened steel has wide application in mould and die industries. However, milling induced surface finish has received little attention. An experimental investigation is conducted to comprehensively characterize the surface roughness of AISI D2 hardened steel (58-62 HRC) in end milling operation using TiAlN/AlCrN multilayer coated carbide. Surface roughness (Ra) was examined at different cutting speed (v) and radial depth of cut (dr) while the measurement was taken in feed speed, Vf and cutting speed, Vc directions. The experimental results show that the milled surface is anisotropic in nature. Surface roughness values in feed speed direction do not appear to correspond to any definite pattern in relation to cutting speed, while it increases with radial depth-of-cut within the range 0.13-0.24 µm. In cutting speed direction, surface roughness value decreases in the high speed range, while it increases in the high radial depth of cut. Radial depth of cut is the most influencing parameter in surface roughness followed by cutting speed.

Cutting Forces and Surface Roughness in High-Speed End Milling of Ti6Al4V

2013 ◽  
Vol 589-590 ◽  
pp. 76-81
Author(s):  
Fu Zeng Wang ◽  
Jun Zhao ◽  
An Hai Li ◽  
Jia Bang Zhao
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Cutting Forces ◽  
High Speed ◽  
End Milling ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Wide Range ◽  
Radial Depth ◽  
Coated Carbide

In this paper, high speed milling experiments on Ti6Al4V were conducted with coated carbide inserts under a wide range of cutting conditions. The effects of cutting speed, feed rate and radial depth of cut on the cutting forces, chip morphologies as well as surface roughness were investigated. The results indicated that the cutting speed 200m/min could be considered as a critical value at which both relatively low cutting forces and good surface quality can be obtained at the same time. When the cutting speed exceeds 200m/min, the cutting forces increase rapidly and the surface quality degrades. There exist obvious correlations between cutting forces and surface roughness.

Tool Wear in Ball-End Milling of Cr12MoV Die Steel Using an Indexable Cutter with the Asymmetric Inserts

2012 ◽  
Vol 500 ◽  
pp. 111-116
Author(s):  
Bin Zou ◽  
Chuan Zhen Huang ◽  
Zi Ye Liu ◽  
Xin Qiang Zhuang ◽  
Jun Wang
Keyword(s):  
Tool Wear ◽  
Flank Wear ◽  
End Milling ◽  
Cutting Conditions ◽  
Cutting Condition ◽  
Die Steel ◽  
Ball End Milling ◽  
Diffusion Wear ◽  
Flank Face ◽  
And Diffusion

Tool wear was investigated at the different cutting conditions in rough ball-end milling of Cr12MoV die steel using an indexable cutter with asymmetric inserts. The wear patterns on rake face and flank face of major insert and minor insert, and chip patterns were observed by VHX-600E large depth-of-view 3-D scanner. The relationships of tool wear and cutting conditions, and their mechanisms were discussed. The tool life was determined by the flank wear at No. 1 cutting condition. At Nos. 2-8 cutting conditions, the life of major inset and minor insert were determined by the wear of their rake faces and flank faces respectively. At No. 8 cutting condition, the tool wear was dominated by boundary wear, adhesion and diffusion wear, and the slight chipping. Both type and color of chips identified the cutting stability at the different cutting conditions.

Experimental Design Methodology in Ball End Milling of C45 Material by Using Tool Tilt Angle - Analysis and Estimation of Surface Roughness Variation

2013 ◽  
Vol 371 ◽  
pp. 48-53 ◽  
Author(s):  
Ioan Pasca ◽  
Mircea Lobonțiu ◽  
Róbert Čep ◽  
Mihai Banica
Keyword(s):  
Surface Roughness ◽  
Tilt Angle ◽  
End Milling ◽  
Milling Process ◽  
Experimental Methodology ◽  
Ball End Mill ◽  
Ball End Milling ◽  
Qualitative And Quantitative ◽  
Tool Tilt Angle ◽  
Experimental Design Methodology

Due to the expansion of milling process with ball end mill in various branches of industry it became necessary for this process to be optimized. For this purpose it is necessary to identify the parameters that influence the process and establish their value for witch the results obtained to be the maximum in terms of qualitative and quantitative. Roughness of the surface machined can be considered as an important element that reflects the degree of successful optimization of this process. In order to solve the problems relating to the analysis and estimation of the surface roughness variation in ball end milling of C45 material with tool tilt angle, in this paper it was designed an experimental methodology followed by analysis of experimental data and estimation of surface roughness variation. The experimental research methodology presented in this paper can be extrapolated and used in a large number of processes.

Surface Integrity of End Milled Ti-6Al-4V Using the TiAlN Coated Tool

2008 ◽  
Author(s):  
Y. B. Guo ◽  
Jie Sun
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
End Milling ◽  
Bulk Material ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Near Surface ◽  
Β Phase ◽  
Radial Depth ◽  
Milled Surface

End milling titanium Ti-6Al-4V has wide applications in aerospace, biomedical, and chemical industries. However, milling induced surface integrity has received little attention. In this study, a series of end milling experiment were conducted to comprehensively characterize surface integrity at various milling conditions. The experimental results have shown that the milled surface shows the anisotropic nature with a surface roughness range in 0.6 μm–1.2 μm. Surface roughness increases with feed and radial depth-of-cut (DoC), but varies with the cutting speed range. Compressive residual normal stress occurs in both cutting and feed directions, while the influences of cutting speed and feed on residual stress trend are quit different. The microstructure analysis shows that β phase becomes much smaller and severely deformed in the very near surface with the cutting speed. The milled surfaces are at least 60% harder than the bulk material in the subsurface.

Prediction of Surface Roughness Using Back-Propagation Neural Network in End Milling Ti-6Al-4V Alloy

2011 ◽  
Vol 325 ◽  
pp. 418-423 ◽  
Author(s):  
Song Zhang ◽  
Jian Feng Li
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
End Milling ◽  
Back Propagation ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Back Propagation Neural Network ◽  
Depth Of Cut ◽  
Radial Depth ◽  
Bpnn Model

Surface roughness plays a significant role in machining industry for proper planning of process system and optimizing the cutting conditions. In this paper, a back-propagation neural network (BPNN) model has been developed for the prediction of surface roughness in end milling process. A large number of milling experiments were conducted on Ti-6Al-4V alloy using the uncoated carbide tools. Four cutting parameters including cutting speed, feed per tooth, radial depth of cut, and axial depth of cut are used as the inputs to develop the BPNN model, while surface roughness corresponding to these combinations of different cutting parameters is the output of the neural network model. The performance of the trained BPNN model has been verified with the experimental results, and it is found that the BPNN predicted and the experimental values are very close to each other.

The Investigation of Prediction Surface Roughness from Machining Forces in End Milling Processes

2011 ◽  
Vol 486 ◽  
pp. 91-94 ◽  
Author(s):  
Jabbar Abbas ◽  
Amin Al-Habaibeh ◽  
Dai Zhong Su
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Irregular Waves ◽  
Depth Of Cut ◽  
End Mill ◽  
Machined Surface ◽  
Machining Forces ◽  
Mill Cutter

Surface roughness is one of the most significant parameters to determine quality of machined parts. Surface roughness is defined as a group of irregular waves in the surface, measured in micrometers (μm). Many investigations have been performed to verify the relationship between surface roughness and cutting parameters such as cutting speed, feed rate and depth of cut. To predict the surface produced by end milling, surface roughness models have been developed in this paper using the machining forces by assuming the end mill cutter as a cantilever beam rigidly or semi- rigidly supported by tool holder. An Aluminium workpiece and solid carbide end mill tools are used in this work. Model to predict surface roughness has been developed. Close relationship between machined surface roughness and roughness predicted using the measured forces signals.

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