Investigating the Effect of Cutting Speed Variation on Surface Roughness of 7136 Aluminum Alloy in End Milling

2015 ◽  
Vol 809-810 ◽  
pp. 129-134 ◽  
Author(s):  
Alina Bianca Bonţiu Pop ◽  
Mircea Lobonţiu
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Metal Cutting ◽  
End Milling ◽  
Cutting Speed ◽  
Processing Parameters ◽  
Milling Process ◽  
Future Research ◽  
Cutting Depth ◽  
Speed Variation

Surface quality is affected by various processing parameters and inherent uncertainties of the metal cutting process. Therefore, the surface roughness anticipation becomes a real challenge for engineers and researchers. In previous researches [1] I have investigated the feed rate influence on surface roughness and manufacturing time reduction. The 7136 aluminum alloy was machined by end milling operation using standard tools for aluminum machining. The purpose of this paper is to identify by experiments the influence of cutting speed variation on surface roughness. The scientific contribution brought by this research is the improvement of the end milling process of 7136 aluminum alloy. This material is an aluminum alloy developed by Universal Alloy Corporation and is used in the aircraft industry to manufacture parts from extruded profiles. The research method used to solve the problem is experiment. A range of cutting speeds was used while the cutting depth and the feed per tooth were constrained per minimum and maximum requirements defined for the given cutting tool. The experiment was performed by using a 16 mm End milling cutter, holding two indexable cutting inserts. The machine used for the milling tests was a HAAS VF2 CNC. The surface roughness (response) was measured by using a portable surface roughness tester (TESA RUGOSURF 20 Portable Surface Finish Instrument). Following the experimental research, results were obtained which highlight the cutting speed influence on surface roughness. Based on these results we created roughness variation diagrams according to the cutting speed for each value of feed per tooth and cutting depth. The final results will be used as data for future research.

An Experiment-Based Investigation on Characteristic and Model of Milling Forces during End-Milling Aluminum Alloy

2014 ◽  
Vol 494-495 ◽  
pp. 602-605
Author(s):  
Zeng Hui An ◽  
Xiu Li Fu ◽  
Ya Nan Pan ◽  
Ai Jun Tang
Keyword(s):  
Aluminum Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
High Speed ◽  
Metal Cutting ◽  
End Milling ◽  
Influence Factors ◽  
Cutting Speed ◽  
Cutting Depth ◽  
Milling Forces

Cutting forces is one of the important physical phenomena in metal cutting process. It directly affects the surface quality of machining, tool life and cutting stability. The orthogonal experiments of cutting forces and influence factors with indexable and solid end mill were accomplished and the predictive model of milling force was established during high speed end milling 7050-T7451 aluminum alloy. The paper makes research mainly on the influence which the cutting speed, cutting depth and feed have on the cutting force. The experimental results of single factor showed that the cutting forces increase earlier and drop later with the increase of cutting speed, and the cutting speed of inflexion for 7050-T7451 is 1100m/min. As axial cutting depth, radial cutting depth and feed rate increase, the cutting force grows in different degree. The cutting force is particularly sensitive to axial cutting depth and slightly to the radial cutting depth.

Application of Taguchi’s Method for Study of Machining Parameters on Surface Roughness of 7136 Aluminum Alloy in End Milling

2015 ◽  
Vol 809-810 ◽  
pp. 123-128 ◽  
Author(s):  
Alina Bianca Bonţiu Pop
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Process Parameters ◽  
End Milling ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Future Research ◽  
Depth Of Cut ◽  
Machining Parameters

Starting with the necessity to identify the optimum values of the cutting parameters which are affecting the surface quality, it is appropriate to use the design of experiment techniques to conduct the experiments. Previous researches [1] focused on the investigation of the effects of machining parameters on surface roughness. In this paper, the experiments were conducted based on the established Taguchi’s technique, L8 orthogonal array using Minitab-17 statistical software. Three machining parameters are chosen as process parameters: Cutting Speed, Feed per tooth and Depth of cut. The orthogonal matrix includes these three factors set for analysis, each with 2 levels associated. The level of influence that the process parameters exert on the surface roughness is analyzed by Taguchi method data analysis. In this case the signal to noise ratio was tacked into account. Also, the recommended configuration regarding the optimum values of these parameters was determined as well as the interactions between them, in order to obtain better surface roughness for 7136 aluminum alloy machining. The final results will be used as data for future research.

scholarly journals Influence of Chatter of VMC Arising During End Milling Operation and Cutting Conditions on Quality of Machined Surface

1970 ◽  
Vol 2 (1) ◽  
Author(s):  
A.K.M.N. Amin, M.A. Rizal, and M. Razman
Keyword(s):  
Surface Roughness ◽  
Metal Cutting ◽  
Metal Removal ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Conditions ◽  
End Mill ◽  
Machined Surface ◽  
Operating Cycle ◽  
Wide Range

Machine tool chatter is a dynamic instability of the cutting process. Chatter results in poor part surface finish, damaged cutting tool, and an irritating and unacceptable noise. Exten¬sive research has been undertaken to study the mechanisms of chatter formation. Efforts have been also made to prevent the occurrence of chatter vibration. Even though some progress have been made, fundamental studies on the mechanics of metal cutting are necessary to achieve chatter free operation of CNC machine tools to maintain their smooth operating cycle. The same is also true for Vertical Machining Centres (VMC), which operate at high cutting speeds and are capable of offering high metal removal rates. The present work deals with the effect of work materials, cutting conditions and diameter of end mill cutters on the frequency-amplitude characteristics of chatter and on machined surface roughness. Vibration data were recorded using an experimental rig consisting of KISTLER 3-component dynamometer model 9257B, amplifier, scope meters and a PC.  Three different types of vibrations were observed. The first type was a low frequency vibration, associated with the interrupted nature of end mill operation. The second type of vibration was associated with the instability of the chip formation process and the third type was due to chatter. The frequency of the last type remained practically unchanged over a wide range of cutting speed.  It was further observed that chip-tool contact processes had considerable effect on the roughness of the machined surface.Key Words: Chatter, Cutting Conditions, Stable Cutting, Surface Roughness.

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.

scholarly journals Prediction of Surface Roughness When End MillingTi6Al4VAlloy Using Adaptive Neurofuzzy Inference System

2013 ◽  
Vol 2013 ◽  
pp. 1-12
Author(s):  
Salah Al-Zubaidi ◽  
Jaharah A. Ghani ◽  
Che Hassan Che Haron
Keyword(s):  
Surface Roughness ◽  
Metal Cutting ◽  
End Milling ◽  
Cutting Tools ◽  
Computing Methods ◽  
Milling Process ◽  
Dry Cutting ◽  
Inference System ◽  
Cutting Processes ◽  
Adaptive Neurofuzzy Inference System

Surface roughness is considered as the quality index of the machine parts. Many diverse techniques have been applied in modelling metal cutting processes. Previous studies have revealed that artificial intelligence techniques are novel soft computing methods which fit the solution of nonlinear and complex problems like metal cutting processes. The present study used adaptive neurofuzzy inference system for the purpose of predicting the surface roughness when end millingTi6Al4Valloy with coated (PVD) and uncoated cutting tools under dry cutting conditions. Real experimental results have been used for training and testing ofANFISmodels, and the best model was selected based on minimum root mean square error. A generalized bell-shaped function has been adopted as a membership function for the modelling process, and its numbers were changed from 2 to 5. The findings provided evidence of the capability ofANFISin modelling surface roughness in end milling process and obtainment of good matching between experimental and predicted results.

Predicting Surface Roughness with Respect to Process Parameters Using Regression Analysis Models in End Milling

2012 ◽  
Vol 576 ◽  
pp. 99-102 ◽  
Author(s):  
Erry Yulian Triblas Adesta ◽  
Muataz H.F. Al Hazza ◽  
M.Y. Suprianto ◽  
Muhammad Riza
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Cutting Speed ◽  
Milling Process ◽  
Functional Attributes ◽  
Aisi H13 ◽  
Analysis Models ◽  
End Milling Process ◽  
Required Quality ◽  
Central Composite

Surface roughness affects the functional attributes of finished parts. Therefore, predicting the finish surface is important to select the cutting levels in order to reach the required quality. In this research an experimental investigation was conducted to predict the surface roughness in the finish end milling process with higher cutting speed. Twenty sets of data for finish end milling on AISI H13 at hardness of 48 HRC have been collected based on five-level of Central Composite Design (CCD). All the experiments done by using indexable tool holder Sandvick Coromill R490 and the insert was PVD coated TiAlN carbide. The experimental work performed to predict four different roughness parameters; arithmetic mean roughness (Ra), total roughness (Rt), mean depth of roughness (Rz) and the root mean square (Rq).

scholarly journals Analysis of tool wear and surface roughness in high-speed milling process of aluminum alloy Al6061

2021 ◽  
pp. 71-84
Author(s):  
Nhu-Tung Nguyen ◽  
Dung Hoang Tien ◽  
Nguyen Tien Tung ◽  
Nguyen Duc Luan
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Tool Wear ◽  
Feed Rate ◽  
High Speed ◽  
Cutting Speed ◽  
Milling Process ◽  
Face Milling ◽  
Depth Of Cut ◽  
High Speed Milling

In this study, the influence of cutting parameters and machining time on the tool wear and surface roughness was investigated in high-speed milling process of Al6061 using face carbide inserts. Taguchi experimental matrix (L9) was chosen to design and conduct the experimental research with three input parameters (feed rate, cutting speed, and axial depth of cut). Tool wear (VB) and surface roughness (Ra) after different machining strokes (after 10, 30, and 50 machining strokes) were selected as the output parameters. In almost cases of high-speed face milling process, the most significant factor that influenced on the tool wear was cutting speed (84.94 % after 10 machining strokes, 52.13 % after 30 machining strokes, and 68.58 % after 50 machining strokes), and the most significant factors that influenced on the surface roughness were depth of cut and feed rate (70.54 % after 10 machining strokes, 43.28 % after 30 machining strokes, and 30.97 % after 50 machining strokes for depth of cut. And 22.01 % after 10 machining strokes, 44.39 % after 30 machining strokes, and 66.58 % after 50 machining strokes for feed rate). Linear regression was the most suitable regression of VB and Ra with the determination coefficients (R2) from 88.00 % to 91.99 % for VB, and from 90.24 % to 96.84 % for Ra. These regression models were successfully verified by comparison between predicted and measured results of VB and Ra. Besides, the relationship of VB, Ra, and different machining strokes was also investigated and evaluated. Tool wear, surface roughness models, and their relationship that were found in this study can be used to improve the surface quality and reduce the tool wear in the high-speed face milling of aluminum alloy Al6061

An Analysis on Temperature & Surface Roughness during End Milling of Ti-6Al-4V Alloy

2014 ◽  
Vol 592-594 ◽  
pp. 38-42 ◽  
Author(s):  
S. Samsudeensadham ◽  
Vijayan Krishnaraj
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Metal Cutting ◽  
End Milling ◽  
Cutting Speed ◽  
Critical Issue ◽  
Vital Role ◽  
Effect Of Temperature ◽  
Regression Equations ◽  
Machined Surface

The heat produced in metal cutting process is one of the most critical issue in machining of titanium alloys. High temperature in metal cutting degrades the tool life, surface integrity, size accuracy and machining efficiency dramatically. The temperature generated during end milling of titanium alloy, has been measured using Thermo camera. Surface roughness plays a vital role in evaluating and measuring the quality of the machined surface. During the experiments, cutting speed and feed rate have been changed to analyse the effect of temperature and surface roughness. It is observed that cutting speed has the greater effect on temperature and surface roughness during end milling of titanium alloy. The regression equations generated have better fit which can be used for optimization.

scholarly journals PENGARUH PARAMETER PEMESINAN TERHADAP KEKASARAN PERMUKAAN MATERIAL ALUMINIUM 6061 DAN 7075 PADA PROSES SEKRAP

2020 ◽  
Vol 4 (1) ◽  
pp. 145
Author(s):  
M. Sobron Yamin Lubis ◽  
Abrar Riza ◽  
Dani Putra Agung
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Aluminium Alloy ◽  
Cutting Speed ◽  
Machining Process ◽  
Machining Parameters ◽  
Cutting Depth ◽  
Surface Conditions ◽  
Surface Test ◽  
Alloy 6061

Aluminum Alloy metal is widely used in making lightweight construction on machinery. To produce a flat metal alluminium alloy surface, a shearing machine is needed. There are two types of aluminum materials that are commonly used, namely Aluminum 6061 and 7075. In the process of forming metals using a scrap machine, it is important to determine the machining parameters because this is closely related to the surface conditions of the workpiece produced. Difficulties in determining the appropriate combination of machining parameters often result in work surface conditions that are not as expected or have a high roughness. With the right parameters, the quality of surface roughness can be predicted as planned before the machining process. The cutting parameters are cutting speed and cutting depth. In this study the cutting speed used varied, namely 4.68 m / min, 7.30 m / min, 11.70 m / min, 18.29 m / min with a cutting depth of 0.50 mm, 1.00 mm and 1 , 50 mm, to cut aluminum 6061 and 7075 using the HSS chisel. In the initial step, do the machine tool settings, place the chisel on the chisel holder, place the workpiece in vise, adjust the cutting speed, depth of feed, and perform machining. After machining, a surface roughness measurement is carried out using a surface test. From the results of the study it was found that the value of surface roughness is directly proportional to the depth of cut. The value of surface roughness is inversely proportional to cutting speed and hardness of the material. Determination of cutting speed through empirical equations based on surface roughness: aluminum alloy 6061 is: Ra = 23,366e-0,146Vc (µm) and aluminum alloy 7075 are: Ra = 13,482e-0.109Vc (µm). ABSTRAK Bahan logam aluminium Alloy banyak digunakan dalam pembuatan konstruksi ringan pada mesin-mesin. Untuk menghasilkan permukaan logam alluminium alloy yang rata, maka diperlukan mesin sekrap. Terdapat dua jenis material aluminium yang umum digunakan yaitu Aluminium 6061 dan 7075. Pada proses pembentukan logam dengan menggunakan mesin sekrap, adalah penting untuk menentukan parameter pemesinan  Karena hal ini berkaitan erat dengan kondisi permukaan benda kerja yang dihasilkan. Kesulitan dalam menentukan kombinasi parameter pemesinan yang sesuai seringkali mengakibatkan kondisi permukaan benda kerja kerja yang tidak sesuai diharapkan atau memiliki kekasaran yang tinggi. Dengan parameter yang tepat, kualitas kekasaran permukaan dapat diprediksi seperti yang direncanakan sebelum proses pemesinan. Parameter pemotongan tersebut adalah kecepatan pemotongan dan kedalaman potong. Pada penelitian ini kecepatan pemotongan yang digunakan bervariasi yaitu 4,68 m/min,7,30 m/min, 11,70 m/min,18,29 m/min dengan kedalaman pemotongan 0,50 mm,1,00 mm dan 1,50 mm, untuk memotong aluminum  6061 dan 7075 dengan menggunakan mata pahat HSS.. Pada langkah awali dilakukan setting mesin perkakas, meletakkan mata pahat pada pemegang mata pahat, meletakkan benda kerja pada ragum, melakukan settingg untuk kecepatan pemotongan, kedalaman pemakanan, dan melakukan pemesinan. Setiap kali selesai pemesinan, dilakukan pengukuran kekasaran permukaan dengan menggunakan alat ukur surface test. Dari hasil penelitian diperoleh bahwa nilai kekasaran permukaan berbanding lurus dengan kedalaman potong. Nilai kekasaran permukaan berbanding terbalik dengan kecepatan potong dan kekerasan material. Penentuan kecepatan potong melalui  persamaan empiris  berdasarkan kekasaran permukaan:  aluminium alloy 6061 adalah:  Ra = 23.366e-0.146Vc(µm) dan aluminium alloy 7075 adalah:  Ra = 13.482e-0.109Vc(µm).

Optimization of Surface Roughness in End Milling of Medium Carbon Steel under the Influence of Magnets Attached to the Machine Spindle

2012 ◽  
Vol 576 ◽  
pp. 115-118
Author(s):  
A.K.M. Nurul Amin ◽  
Syidatul Akma ◽  
Maizatul Akma ◽  
M.D. Arif
Keyword(s):  
Surface Roughness ◽  
Carbon Steel ◽  
Metal Cutting ◽  
Permanent Magnets ◽  
End Milling ◽  
Cutting Speed ◽  
Medium Carbon Steel ◽  
Depth Of Cut ◽  
Machining Accuracy ◽  
Medium Carbon

One of the major technological parameters in metal cutting is surface roughness. It is an unavoidable, and often, unwanted by-product of all machining operations, especially end milling. Surface roughness is directly related to product quality and performance, operation cost, machining accuracy, and chatter. Today’s stringent customer requirements demand machined parts with minimum (mirror finished) products. Hence, the prediction, modeling, and optimization of surface roughness is a quintessential concern in machining research and industrial endeavor. This research was undertaken in order to determine whether end milling of medium carbon steel performed using chosen ranges of cutting parameter and under magnetic field generated by permanent magnets could effectively improve surface roughness. A small central composite design with five levels and an alpha value of 1.4142, in Response Surface Methodology, was used in developing the relationship between cutting speed, feed, and depth of cut, with surface roughness. Design-Expert 6.0 software was utilized to develop the quadratic empirical mathematical model for surface roughness. The experiments were performed under two different conditions. The first condition was cutting under normal conditions, while the other one was cutting under the application of magnetic fields from two permanent magnets. Medium carbon steel was used as the work material. The resultant average surface roughness was found to be reduced by a maximum of 59% due to magnet application.

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