Research on the Modeling and Experimenting of Burr Formation Process in Double-Edged Micro-Plat End Milling Operation

2013 ◽  
Vol 770 ◽  
pp. 248-252 ◽  
Author(s):  
Ni Chen ◽  
Ming Jun Chen ◽  
Hai Bo Ni ◽  
Ning He ◽  
Zhan Qiang Liu
Keyword(s):  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Burr Formation ◽  
Depth Of Cut ◽  
Generation Process ◽  
Burr Size ◽  
Milling Operation ◽  
Exit Burr

Burrs generated in micro-milling operation have a significant impact on the surface quality and operational performance of the finished microstructures. In order to gain a better recognition of burr generation process, 3-dimensional double-edged micro-flat end milling operation FEM models on Ti6Al4V have been established. Burrs occurred in simulation can be classified into three types: entrance burr, exit burr, top burr. Their formation processes and causes are well investigated and analyzed, moreover, a series of experiments are conducted to validate the burr morphologies which are received in simulation. At last, the effect of cutting parameters on top burr size is studied through orthogonal experiment on Ti6Al4V, it can be concluded that the axial depth of cut has the greatest effect on top burr size, and the effect of spindle speed on top burr size is the least.

A Prediction Model of Surface Roughness in Micro End Milling

2015 ◽  
Vol 727-728 ◽  
pp. 354-357
Author(s):  
Mei Xia Yuan ◽  
Xi Bin Wang ◽  
Li Jiao ◽  
Yan Li
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Feed Rate ◽  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Cutting Depth ◽  
Micro End Milling

Micro-milling orthogonal experiment of micro plane was done in mesoscale. Probability statistics and multiple regression principle were used to establish the surface roughness prediction model about cutting speed, feed rate and cutting depth, and the significant test of regression equation was done. On the basis of successfully building the prediction model of surface roughness, the diagram of surface roughness and cutting parameters was intuitively built, and then the effect of the cutting speed, feed rate and cutting depth on the small structure surface roughness was obtained.

Experimental investigation of top burr formation in high-speed micro-milling of Ti6Al4V alloy

2019 ◽  
Vol 234 (4) ◽  
pp. 730-738 ◽  
Author(s):  
Mohan Kumar ◽  
Vivek Bajpai
Keyword(s):  
Experimental Investigation ◽  
High Speed ◽  
End Milling ◽  
Cutting Parameters ◽  
Ti6al4v Alloy ◽  
Micro Milling ◽  
Burr Formation ◽  
Machined Surface ◽  
Burr Width ◽  
Super Alloy

Miniaturization with superior quality product of super alloy is the demand of the industry. Ti6Al4V is the demanding super alloy due to its excellent material properties, although this super alloy is known for poor machinability in terms of burr formation, low tool life, and poor surface finish. Therefore, being a popular super alloy, it comes under the difficult-to-cut material. In the current work, burr formation on the machining of Ti6Al4V has been studied. Experimental investigation and characterizations of top burr formation on Ti6Al4V alloy using end milling process were carried out. A scanning electron microscopy identifies the burr formed on the machined surface. A new technique has been introduced to measure the top burr width (i.e. equivalent width) accurately. Equivalent burr width calculated as the ratio of total area of burr generated to the total height. It was observed that equivalent burr width in up milling was increased by 120%, while in down milling, it was decreased by 50% as the speed varies from conventional to high speed. Furthermore, the effects of different cutting parameters and tool parameters on top burr formation have been analyzed to establish correlation among them.

Analysys and Optimization of Exit Burr Size and Surface Roughness in Milling Using Desireability Function

2012 ◽  
Author(s):  
Seyed Ali Niknam ◽  
Rene Kamguem ◽  
Victor Songmene
Keyword(s):  
Surface Roughness ◽  
Desirability Function ◽  
Cutting Parameters ◽  
Burr Formation ◽  
Tool Geometry ◽  
Manufacturing Cost ◽  
Burr Size ◽  
Response Optimization ◽  
Exit Burr ◽  
Selection Of

The burr formation mechanism and surface quality highly depend on machining conditions. Improper selection of cutting parameters may cause tremendous manufacturing cost and low product quality. Proper selection of cutting parameters which simultaneously minimize burr size and surface roughness is therefore very important, as that would reduce the part finishing cost. This article aims to present an experimental study to evaluate parameters affecting the exit burr size (thickness and height) and surface roughness during milling of 6601-T6 aluminum alloy. Desirability function, Di(x), is then proposed for multiple response optimization. Optimum setting levels of process parameters are determined for simultaneous minimization of surface roughness and exit burr thickness and height. It was found that the changes in feed per tooth and tool geometry and coating have significant effects on variation of Di(x).

Reducing Tool Wear in CNC End Milling Operation Using Progressive Feed Rate

2014 ◽  
Vol 592-594 ◽  
pp. 716-723
Author(s):  
K.S. Badrinathan ◽  
L. Karunamoorthy
Keyword(s):  
Tool Wear ◽  
Feed Rate ◽  
End Milling ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Milling Operation ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel ◽  
Cnc End Milling

This study focuses on the effect of cutting parameters on the tool wear in a CNC end milling operation. Major factors which influence the tool wear are spindle speed, feed rate and depth of cut. Conventionally constant feed rate is used. In this work a concept of progressive feed rate is introduced. AISI 1045 steel has been chosen as it is widely used in manufacturing. Design of Experiments (DOE) technique was adopted to conduct the experiments. Experiments were conducted for both the existing and the proposed feed rate method and the tool wear was compared. A statistical model was developed using Design Expert software. The predicted values were compared with the experimental values and were found to be in close agreement. The model adequacy was checked using ANOVA technique.

Cutting Parameters Impacting on Tool Wear in Micro End-milling of Tool Steel

2018 ◽  
Author(s):  
Cínthia Soares Manso ◽  
Cleiton Lazaro Fazolo de Assis ◽  
Luciana Wasnievski da Silva de Luca Ramos ◽  
Erik Gustavo Del Conte
Keyword(s):  
Tool Wear ◽  
Tool Steel ◽  
End Milling ◽  
Cutting Parameters ◽  
Milling Process ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Nose Radius ◽  
Machined Surface ◽  
Tool Diameter

In micro milling process, the quick wear and premature breakage of tools configure a problem that affects not only the process costs but also the manufacturing quality. This work investigates the influence of the cutting parameters on tool wear and surface roughness in a dry machining of a tool steel H13 workpiece (X40CrMoV5-1). Spindle speed was kept constant (27200 rpm) and two feeds per tooth were applied (1.5 and 3.0 µm) as depth of cut (25 and 30 µm), and variating cut length as well. The wear of the tool top area, tool diameter and nose radius were monitored during micro milling tests. Roughness was evaluated by using a Laser Confocal Microscope. The lower level of feed per tooth and depth of cut showed lower roughness, but a higher tool wear. A balance between cutting parameters and cutting length must be considered to ensure micromachining without severe tool wear and preserve microchannel features along its machined surface.

Modeling of Top Burr Formation in Micro-End Milling of Zr-Based Bulk Metallic Glass

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Debajyoti Ray ◽  
Asit Baran Puri ◽  
Naga Hanumaiah ◽  
Saurav Halder
Keyword(s):  
Metallic Glass ◽  
Bulk Metallic Glass ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Milling Process ◽  
Burr Formation ◽  
Depth Of Cut ◽  
Glass Work ◽  
Micro End Milling

Abstract In this study, an analysis is presented for the formulation of a model in top burr formation to estimate the width of the top burrs formed in micro-end milling process. In this analysis, the width of the top burrs, considered to be the measure of burr size of top burrs, represents the extent of burr formation. The model is applied to quantify the burr formation in Zr-based bulk metallic glass, an amorphous metallic alloy. In this study, micromilling experiments were carried out on the bulk metallic glass work material at different levels of feed rate, axial depth of cut, and cutting speed to compare the experimental values of top burr width with the predicted values. Analysis is carried out to characterize top burr formation based on the experimental results of burr sizes in the up-milling and down-milling side edges, and the influential effects of the cutting parameters on the burr formation are analyzed.

Surface Topography Predication in High-Speed End Milling of Flexible Milling System

2010 ◽  
Vol 29-32 ◽  
pp. 1832-1837
Author(s):  
Zhong Qun Li ◽  
Shuo Li ◽  
Ming Zhou
Keyword(s):  
Surface Topography ◽  
Cutting Forces ◽  
High Speed ◽  
End Milling ◽  
Cutting Parameters ◽  
Numerical Approach ◽  
Depth Of Cut ◽  
Machined Surface ◽  
Milling Operation ◽  
The Impact

During milling operation, the cutting forces will induce vibrations on both the cutting tool and the workpiece, which will affect the topography of the machined surface. Based on the Z-map representation of the workpiece, an improved model is presented to predicate the 3D surface topography along with the dynamic cutting forces during an end milling operation. A numerical approach is employed to solve the differential equations governing the dynamics of the milling system. The impact of cutting parameters such as the feedrate, the axial depth of cut and the dynamic characteristic of milling system on the surface topography is investigated by simulation. The all above can provide some instructive directions to the manufacturing engineers in determining the optimal cutting conditions of an end milling operation.

scholarly journals Influence of Cutting Parameters on Chatter and Tool Wear During End Milling of Stainless Steel Conducted on VMC

1970 ◽  
Vol 3 (2) ◽  
Author(s):  
A.K.M.N. AMIN, M. IMRAN AND M. ARIF
Keyword(s):  
Stainless Steel ◽  
Tool Wear ◽  
Surface Finish ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Wear Intensity ◽  
Depth Of Cut ◽  
Machined Surface ◽  
Milling Operation

Stainless steels are a group of difficult to machine work materials. The difficulty in machining stainless steels is manifested in high contact length and stresses, formation of serrated chips and development of chatter resulting in high tool wear rates and poor machined surface finish. The paper focuses on the performance of TiN coated-carbide inserts in machining stainless steel specimens in end milling operation performed on vertical machining centre (VMC). The performance of the tool is evaluated from the point of view of its wear intensity, mechanism of failure and generation and effect of chatter on tool wear and vice versa. The investigations were aimed at determining the effect of cutting parameters, specifically cutting speed, feed and depth of cut, on chatter amplitude, tool wear rate, mechanism of tool wear and using these data and machined surface roughness values from previous work to come up with recommended values of cutting parameters for semi-finish and finish end milling operation of stainless steel work materials. For recording vibration signals a dual channel portable signal analyzers was used and the signals were analyzed using Pulse Multi-analyzer version 4.2 software. Tool wear was measured using an optical microscope with digital readout capabilities along 3 axes. The tool wear mechanisms were studied under a scanning electron microscope (SEM). Results of the investigation show that acceleration amplitudes generally increase with cutting speed and the magnitude of tool flank wears. It has been also found that an increase in feed and depth of cut leads to higher acceleration amplitudes. The most common wear mechanisms observed during machining of stainless steel are attrition, micro and macro chipping of the tool at lower cutting speeds, and diffusion and mechanical failures due to intensive chatter at higher speeds. It has been also established that stable cutting speeds with relatively low tool wear intensity and satisfactory machined surface finish can be achieved through proper selection of cutting parameters. A table of recommended cutting conditions has been developed for almost chatter free machining with low tool wear intensity and satisfactory surface finish. Key Words: Vertical Machining Centre, Machinability, Chatter, Cutting, Tool life.

Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC – Taguchi Method and Grey Relational Analysis

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
S. H. Tomadi ◽  
J. A. Ghani ◽  
C. H. Che Haron ◽  
M. S. Kasim ◽  
A. R. Daud
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Volume Fraction ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Performance Characteristics ◽  
Depth Of Cut ◽  
Relational Analysis ◽  
Grey Relational

The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation.

Improvement of Surface Roughness in End Milling of Ti6Al4V by Coupling RSM with Genetic Algorithm

2011 ◽  
Vol 264-265 ◽  
pp. 1154-1159
Author(s):  
Anayet Ullah Patwari ◽  
A.K.M. Nurul Amin ◽  
S. Alam
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Titanium Alloys ◽  
End Milling ◽  
Fitness Function ◽  
Cutting Speed ◽  
Weight Ratio ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Resistance Surface

Titanium alloys are being widely used in the aerospace, biomedical and automotive industries because of their good strength-to-weight ratio and superior corrosion resistance. Surface roughness is one of the most important requirements in machining of Titanium alloys. This paper describes mathematically the effect of cutting parameters on Surface roughness in end milling of Ti6Al4V. The mathematical model for the surface roughness has been developed in terms of cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). Central composite design was employed in developing the surface roughness models in relation to primary cutting parameters. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The developed RSM is coupled as a fitness function with genetic algorithm to predict the optimum cutting conditions leading to the least surface roughness value. MATLAB 7.0 toolbox for GA is used to develop GA program. The predicted results are in good agreement with the experimental one and hence the model can be efficiently used to achieve the minimum surface roughness value.

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