scholarly journals Experimental and Numerical Study of Edge Defects When Turning 17vol.% SiCp/2009Al Composites

2019 ◽  
Vol 9 (18) ◽  
pp. 3817 ◽  
Author(s):  
Zhou ◽  
Xiang ◽  
Yi ◽  
Gao ◽  
Xie
Keyword(s):  
Feed Rate ◽  
Cutting Tool ◽  
Numerical Study ◽  
Three Dimensional ◽  
Cutting Parameters ◽  
Element Model ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Edge Defects ◽  
Deformation Plane

In this work, a three-dimensional large-deformation thermo-elastic-plastic finite element model for oblique cutting was established to analyze edge defects during the machining of 17vol.% SiCp/2009Al composites. The formation process of edge defects at the workpiece exit during turning was investigated, and the influence of depth of cut, feed rate, and spindle speed on the edge defect sizes at the workpiece exit was explored. The results show that a negative deformation plane began to form as the cutting tool approached the exit end of cut, and the resultant cracks propagated towards the negative shear deformation plane, which led to workpiece edge defects. In addition, the size of edge defects increased with increasing depth of cut and feed rate, while the spindle speed had less influence on the size of edge defects. The numerical results of the effects of cutting parameters on edge defects were also compared to those of the turning experimental data, and were found to be in reasonable agreement.

Prediction of Surface Roughness and Optimization of Cutting Parameters in CNC Turning of Rotational Features

2020 ◽  
Vol 38 (8A) ◽  
pp. 1143-1153
Author(s):  
Yousif K. Shounia ◽  
Tahseen F. Abbas ◽  
Raed R. Shwaish
Keyword(s):  
Surface Roughness ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Non Linear ◽  
Optimization Of Cutting Parameters

This research presents a model for prediction surface roughness in terms of process parameters in turning aluminum alloy 1200. The geometry to be machined has four rotational features: straight, taper, convex and concave, while a design of experiments was created through the Taguchi L25 orthogonal array experiments in minitab17 three factors with five Levels depth of cut (0.04, 0.06, 0.08, 0.10 and 0.12) mm, spindle speed (1200, 1400, 1600, 1800 and 2000) r.p.m and feed rate (60, 70, 80, 90 and 100) mm/min. A multiple non-linear regression model has been used which is a set of statistical extrapolation processes to estimate the relationships input variables and output which the surface roughness which prediction outside the range of the data. According to the non-linear regression model, the optimum surface roughness can be obtained at 1800 rpm of spindle speed, feed-rate of 80 mm/min and depth of cut 0.04 mm then the best surface roughness comes out to be 0.04 μm at tapper feature at depth of cut 0.01 mm and same spindle speed and feed rate pervious which gives the error of 3.23% at evolution equation.

scholarly journals Stability analysis for a single-point cutting tool deflection in turning operation

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985318
Author(s):  
Amon Gasagara ◽  
Wuyin Jin ◽  
Angelique Uwimbabazi
Keyword(s):  
Cutting Forces ◽  
High Speed ◽  
Cutting Tool ◽  
Single Point ◽  
Three Dimensional ◽  
High Speed Steel ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Beam Model ◽  
Tool Deflection

In this article, a new model of regenerative vibrations due to the deflection of the cutting tool in turning is proposed. The previous study reported chatter as a result of cutting a wavy surface of the previous cut. The proposed model takes into account cutting forces as the main factor of tool deflection. A cantilever beam model is used to establish a numerical model of the tool deflection. Three-dimensional finite element method is used to estimate the tool permissible deflection under the action of the cutting load. To analyze the system dynamic behavior, 1-degree-of-freedom model is used. MATLAB is used to compute the system time series from the initial value using fourth-order Runge–Kutta numerical integration. A straight hard turning with minimal fluid application experiment is used to obtain cutting forces under stable and chatter conditions. A single-point cutting tool made from high-speed steel is used for cutting. Experiment results showed that for the cutting parameters above 0.1mm/rev feed and [Formula: see text]mm depth of cut, the system develops fluctuations and higher chatter vibration frequency. Dynamic model vibration results showed that the cutting tool deflection induces chatter vibrations which transit from periodic, quasi-periodic, and chaotic type.

scholarly journals Investigate the Effect of Cutting Parameters on Surface Roughness When Milling X12m Steel

2021 ◽  
pp. 258-263
Author(s):  
Do Thi Kim Lien ◽  
Nguyen Dinh Man ◽  
Phung Tran Dinh
Keyword(s):  
Experimental Study ◽  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Face Milling ◽  
Negligible Effect ◽  
Depth Of Cut ◽  
The Relationship

In this paper, an experimental study on the effect of cutting parameters on surface roughness was conducted when milling X12M steel. The cutting tool used in this study is a face milling cutter. The material that is used to make the insert is the hard alloy T15K6. The cutting parameters covered in this study include the cutting speed, the feed rate and depth of cut. The experiments are performed in the form of a rotating center composite design. The analysis shows that for both Ra and Rz: (1) the feed rate has the greatest influence on the surface roughness while the depth of cut, the cutting speed has a negligible effect on the surface roughness. (2) only the interaction between the feed rate and the depth of the cut has a significant effect on both Ra and Rz while the interaction between the cutting speed and the feed rate, the interaction between the cutting speed and the depth of cut have a negligible effect on surface roughness. A regression equation showing the relationship between Ra, Rz, and cutting parameters has also been built in this study.

scholarly journals Prediction of cutting tool vibration and surface roughness in hard turning of AISI52100 steel

2018 ◽  
Vol 211 ◽  
pp. 03011
Author(s):  
Nitin Ambhore ◽  
Dinesh Kamble ◽  
Satish Chinchanikar
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Vibration Amplitude ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Vibration Signals ◽  
Cutting Parameter ◽  
Acceleration Amplitude

The changing behavior of vibration signals with varying cutting parameters (cutting speed, feed rate and depth of cut) for turning hardened AISI52100 steel has been studied and reported. The vibration response of cutting tool in all three mutually perpendicular directions, namely, in feed Vx, radial Vy and, tangential Vz directions have been captured by mounting piezoelectric tri-axial accelerometer close to the cutting tool. Experiments are planned and conducted as per Central composite rotatable design of Surface response methodology. The second order multiple regression models are developed to correlate cutting parameters with vibration acceleration and surface roughness. The coefficient of regression R2 for all models is found close to 0.92 which shows that the developed models are reliable and provide an excellent explanation between the cutting parameter and the vibration of cutting tool within limits. The analysis of the results revealed that cutting conditions are having prominent and mixed type effect on vibration signals. The acceleration amplitude Vx, Vy and Vz increases with increase in cutting speed, and depth of cut. The vibration amplitude Vx, Vy and Vz initially increases as feed increases and, with further increase in feed, the vibration amplitude decreases. The surface roughness is highly influenced by the feed rate followed by cutting speed whereas the depth of cut was found less significant. The fluctuation in frequency is observed in all directions. However, the band of frequency remains within a certain range. Within selected cutting parameter range, the maximum acceleration amplitude is observed in frequency band of 4 kHz - 16 kHz.

The influence of cutting parameters on micro-topography of frequency features extracted from the machined KH2PO4 surfaces

2020 ◽  
Vol 234 (14) ◽  
pp. 1762-1770
Author(s):  
Qilong Pang ◽  
Liangjie Kuang ◽  
Youlin Xu
Keyword(s):  
Wavelet Transform ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Continuous Wavelet ◽  
Power Spectral ◽  
Frequency Features ◽  
Micro Topography ◽  
Frequency Feature

Using reasonable cutting parameters of machining process is an effective and convenient means of improving the topography of the machined surfaces. In this study, the methods to find optimised cutting parameters can be obtained by studying the relationship between the cutting parameters and the micro-topography of frequency features in the machined KH2PO4 surfaces. Using the power spectral density and continuous wavelet transform methods, the 2D micro-topographies of frequencies corresponding to different cutting parameters are extracted from the machined KH2PO4 surfaces. The results for the extracted micro-topography are used to analyse the influence of cutting parameters on the spatial frequency feature which consists of the wavelength and amplitude. The middle-frequency feature reflects the variations of depth of cut and spindle speed, and the amplitude of it is directly proportional to depth of cut and spindle speed. The low-frequency feature reflects the variations of the feed rate and decreases to a smaller value when the feed rate increases. The high-frequency feature is mainly affected by the material properties and the vibrations that occur during processing. Comparing the micro-topography of frequencies under different cutting parameters, the depth of cut (3 μm), the spindle speed (400 r/min) and the feed rate (8 μm/r) are the optimised cutting parameters for the machine tools used in this article. In the process of reconstructing the arbitrary frequency topography, the continuous wavelet transform method can compensate for the deficiencies of the power spectral density method for extracting frequencies.

Optimization of Machining Parameters for CNC Turning of Different Materials

2014 ◽  
Vol 592-594 ◽  
pp. 605-609
Author(s):  
Surendra Kumar Saini ◽  
Sharad Kumar Pradhan
Keyword(s):  
Feed Rate ◽  
316L Stainless Steel ◽  
Cutting Tool ◽  
Fractional Factorial Design ◽  
Spindle Speed ◽  
Fractional Factorial ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Process ◽  
Cnc Turning

Abstract. This paper proposes an experimental investigation of the most influencing machining parameters like spindle speed, feed rate and depth of cut on CNC turning of three metals viz. 316L Stainless steel, EN24 alloy steel and Ti 6 Al 4V alloy. Fractional factorial design with orthogonal array [L9 (33)] is employed for the optimization of these turning process parameters. All experiments were carried out using EMCO CNC 250 Turn machine with carbide cutting tool. The comparison revealed that feed rate and depth of cut are the most significant turning factors on surface roughness followed by spindle speed for these three metals.

Down Milling Cutting Parameters Optimization Utilizing the Two Level Full Factorial Design Approach

2016 ◽  
Vol 863 ◽  
pp. 57-61
Author(s):  
Jailani Ismail ◽  
Martini Muhamad ◽  
Saiful Bahri Mohamed ◽  
A. Mohd ◽  
Wan Noor Fatihah Mohamad ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Factorial Design ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Full Factorial Design ◽  
Spindle Speed ◽  
Experimental Methodology ◽  
Depth Of Cut ◽  
Cutting Parameters Optimization ◽  
Full Factorial

The direction of feeding the work piece and cutter rotation determines the type of machining mode either it is up milling or down milling. Each of this machining mode affects the quality of machined surface produced. This paper described the experimental design of down milling operation on a stack of multidirectional CFRP/Al2024. Three cutting parameters were considered namely, spindle speed (N), feed rate (fr) and depth of cut (dc). Two level full factorial design was utilized to plan systematic experimental methodology. The analysis of variance (ANOVA) was used to analyse the influence and the interaction factors associated to surface quality. The results show that the depth of cut is the most significant factor for Al2024, and for CFRP the spindle speed and feed rate are significant. Surface roughness of CFRP is found to be at 0.594 μm at the setting of N = 11750 rpm, fr = 750 mm/min and dc = 0.255 mm. Meanwhile for Al2024, the surface roughness is found to be at 0.32 μm. The validation test showed average deviation of predicted to actual value surface roughness is 3.11% for CFRP and 3.43% for Al2024.

Evaluation of Surface Roughness and Tool Wear in High Speed Machining of Inconel 718

2019 ◽  
Vol 943 ◽  
pp. 66-71
Author(s):  
Moola Mohan Reddy ◽  
Viviana Yong Chai Nie
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Feed Rate ◽  
Inconel 718 ◽  
High Speed ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
High Speed Machining ◽  
Super Alloy

This research work considered the high speed milling operation of Inconel 718 using a 4 flute solid carbide end mill tool without the use of coolant. Inconel 718 is a Nickel based Heat Resistance Super Alloy (HRSA) that is vastly used in the aerospace industries due to its excellent corrosion resistance and good mechanical properties. However, Inconel 718 is considered as a difficult-to-cut super alloy, which poses several problems when machining the material. The aim of this work is to investigate the effect and the influence of cutting parameters (feed rate, spindle speed, and depth of cut) on the quality of the machined surface as well as to evaluate the tool wear after machining. This evaluation of the surface roughness was done using a CNC milling machine at various parameters range for the values of feed rate (50-150 mm/min), spindle speed (2000-4000 RPM), and depth of cut (0.05-0.1 mm). The experiment was designed using Response Surface Analysis Method with Central Composite Design (CCD) to optimize the experimentation. The resulting tool wear and surface roughness after high speed machining were then analysed using ANOVA to determine the cutting parameters which is most affecting the surface roughness.

scholarly journals Influence of Cutting Parameters to Surface Area Roughness in Dimple Machining Using Milling Process

2021 ◽  
Vol 18 (3) ◽  
Author(s):  
M.A. Hanafiah ◽  
A.A. Aziz ◽  
A.R. Yusoff
Keyword(s):  
Surface Area ◽  
Feed Rate ◽  
Research Work ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Ball End Mill

Surface quality is among the predominant criterion in measuring machining process performance, including milling. It is extremely dependent on the process variable, such as cutting parameters and cutting tool conditions. The main intention of this research work is to study the effect of the milling machining parameters, including depth of cut, spindle speed, feed rate as well as machining pattern to the final surface area roughness of the fabricated dimple structure. The concave profile of the dimple is machined at the right angle to a flat Al6061 specimen using a ball end mill attached to a 3-axis CNC milling machine, and the surface area of the concave profile is measured using 3D measuring laser microscope. It is observed that surface area roughness reacts with the spindle speed and feed rate with different tool sizes. Based on the result gained, the work has successfully characterised the influence of studied milling parameters on the dimple surface area roughness, where within the range of the studied parameter, the surface area roughness varies only less than 2.2 μm. The research work will be continued further on the incline milling technique and micro size ball end mill.

Three-Dimensional Finite Element Simulation of Cylindrical Turning of Titanium Alloys

2010 ◽  
Vol 44-47 ◽  
pp. 2573-2577 ◽  
Author(s):  
Yu Su
Keyword(s):  
Finite Element ◽  
Titanium Alloys ◽  
Cutting Force ◽  
Feed Rate ◽  
High Speed ◽  
Metal Cutting ◽  
Cutting Parameters ◽  
Element Model ◽  
Depth Of Cut ◽  
Tool Temperature

The understanding of cutting mechanism is important for the improvement of machinability of difficult-to-cut materials. Finite element method (FEM) is an effective way to study the metal cutting process. This paper establishes a finite element model of cylindrical turning of titanium alloys, and then simulates cutting force and tool temperature distribution under different cutting parameters. The simulation results show that in the high-speed cylindrical turning of titanium alloys, depth of cut has a greater influence on principal cutting force than feed rate, while the effect of feed rate on the maximum tool temperature is more distinct than that of depth of cut.

Sign in / Sign up

Export Citation Format

Share Document