scholarly journals T3D end milling finite element thermal analysis

2018 ◽  
Vol 184 ◽  
pp. 03001
Author(s):  
Andjelija. Mitrović ◽  
Pavel. Kovač ◽  
Nenad. Kulundžić ◽  
Borislav. Savković ◽  
Ildiko. Mankova
Keyword(s):  
Thermal Analysis ◽  
Finite Element ◽  
Software Package ◽  
End Milling ◽  
Cutting Speed ◽  
Milling Process ◽  
Work Piece ◽  
Third Wave ◽  
Modern Approach ◽  
Cutting Zone

The paper presents a modern approach to the phenomenon of thermal analysis in end milling by the finite element method. 3D model of the end mill and work-piece was created in the software package SolidWorks. In order to predict the occurrence of thermal phenomena in milling process software package Third Wave AdvatEdge was used. Influence of cutting speed on the temperature in cutting zone was modelled and analyzed.

Machinability of Aluminum Nitride Ceramic Using TiAlN and TiN Coated Carbide Tool Insert

2013 ◽  
Vol 773-774 ◽  
pp. 437-447
Author(s):  
Moola Mohan Reddy ◽  
Alexander Gorin ◽  
Abou Ei Hossein A. Khaled ◽  
D. Sujan
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
End Milling ◽  
Cutting Speed ◽  
Milling Process ◽  
Work Piece ◽  
Carbide Tool ◽  
Coated Carbide ◽  
Cnc End Milling ◽  
End Milling Process

This research presents the performance of Aluminum nitride ceramic in end milling using using TiAlN and TiN coated carbide tool insert under dry machining. The surface roughness of the work piece and tool wear was analyzed in this. The design of experiments (DOE) approach using Response surface methodology was implemented to optimize the cutting parameters of a computer numerical control (CNC) end milling machine. The analysis of variance (ANOVA) was adapted to identify the most influential factors on the CNC end milling process. The mathematical predictive model developed for surface roughness and tool wear in terms of cutting speed, feed rate, and depth of cut. The cutting speed is found to be the most significant factor affecting the surface roughness of work piece and tool wear in end milling process.

scholarly journals Temperature Distribution of Micro Milling Process due to Uncut Chip Thickness

2014 ◽  
Vol 939 ◽  
pp. 214-221 ◽  
Author(s):  
B.T.H.T. Baharudin ◽  
Kooi Pin Ng ◽  
S. Sulaiman ◽  
R. Samin ◽  
M.S Ismail
Keyword(s):  
Finite Element ◽  
Temperature Distribution ◽  
Model Validation ◽  
End Milling ◽  
Chip Thickness ◽  
Milling Process ◽  
Micro Milling ◽  
Work Piece ◽  
Workpiece Material ◽  
Undeformed Chip Thickness

A simplified model for micro milling process is presented, as well as results on temperature on tool and work piece. The purpose is to investigate on finite element modelling of two flute micro end milling process of titanium alloy, Ti6Al4V with prediction of temperature distribution. ABAQUS/Explicit has been chosen as solver for the analysis. A thermo-mechanical analysis was performed. First model was created by selecting medium carbon steel, AISI1045, as workpiece material for model validation purpose. Second model was created by modifying the workpiece material from AISI1045 to Ti6Al4V. The model consists of two parts which are tungsten carbide micro tool and workpiece. Johnson-Cook law model has been applied as material constitutive properties for both materials due to its severe plastic deformation occur during machining. Prediction on forces was obtained during the analysis. Model validation was done by comparing results published by Woon et al. in 2008. The results showed a good agreement in cutting force. Once this was proved, the same model was then modified to simulate finite element analysis in micro milling of Ti6Al4V. Prediction of temperature distribution of micro end mill of Ti6Al4V was done in relation of different undeformed chip thickness. The findings showed that temperature increases as undeformed chip thickness increases. Temperature distribution of Ti6Al4V and AISI1045 under same machining conditions was compared. Results showed that the highest temperature was concentrated at tool edge for Ti6Al4V.

The Study of Coated Carbide Ball End Milling Tools on Inconel 718 Using Numerical Simulation Analysis to Attain Cutting Force and Temperature Predictive Models at the Cutting Zone

2017 ◽  
Vol 882 ◽  
pp. 28-35 ◽  
Author(s):  
S.E.M. Chien ◽  
M.M. Reddy ◽  
V.C.C. Lee ◽  
D. Sujan
Keyword(s):  
Numerical Simulation ◽  
Finite Element ◽  
Cutting Force ◽  
Feed Rate ◽  
End Milling ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Ball End Milling ◽  
Cutting Zone ◽  
Coated Carbide

The unique properties of Inconel 718 make it a challenging material to machine especially in ball end milling operations due to high cutting force and temperature concentrated at the cutting zone. These essentially lead to accelerated tool wear and failure resulting in high costs and loss of production. In this research, finite element numerical simulation was performed using AdvantEdge to simulate ball end milling using an 8mm TiAlN coated carbide tool. Response Surface Methodology (RSM) is applied by using a 3 level 3 factorial Box-Behnken design of experiment with different combinations of cutting speed, feed rate, and depth of cut parameters with a selected range of parameters to simulate finishing operations. Temperature contour from finite element analysis showed that the highest temperature occurs near the depth of cut line just before the chip separates from the workpiece. Using multiple linear regression, a quadratic polynomial model is developed for maximum cutting force and a linear polynomial model peak tool temperature response respectively. Analysis of Variance (ANOVA) showed that feed rate had the most significance for cutting force followed by depth of cut. Also, cutting speed was found to have little influence. For peak tool temperature, cutting speed was the most significant cutting parameter followed by feed rate and depth of cut.

scholarly journals ANALYSIS OF THERMAL PHENOMENA IN MILLING PROCESS

2019 ◽  
Vol 34 (3) ◽  
pp. 621-627
Author(s):  
Anđelija Mitrović ◽  
Maja Radović
Keyword(s):  
Finite Element ◽  
Software Package ◽  
Cutting Temperature ◽  
Milling Process ◽  
Cutting Process ◽  
Temperature Fields ◽  
Complex Geometries ◽  
The Finite Element Method ◽  
Mathematical Simulations ◽  
Cutting Zone

Milling is one of the most conventional machining processes used in the industry. The cutting edge of the mill tooth periodically enters and exits from the contact with the workpiece, which leads to periodic heating and cooling during machining. This process is influenced by many output parameters and one of the most important parameters is the temperature because it affects the tool wear and tool life. Also, during the milling process the cross-section of the chip is variable. Cutting tools are expensive and have a duration that is measured in minutes and therefore, predicting temperature and tool wear during the machining process is of the great importance for the understanding and optimization of process parameters. To determine cutting temperature or temperature fields in end milling different methods can be used. During the last decades various experimental methods were developed for measuring cutting temperature. Measuring temperature with infrared thermal imaging camera is most suitable method concerning capturing values of temperature fields. An experimental approach to studying the cutting process is expensive and time-consuming, especially when a wide range of tool geometry, material, and machining parameters are included. Because of these difficulties, alternative approaches such as mathematical simulations have been developed. Numerical methods are most commonly used in those mathematical simulations. In the research field of cutting process, the finite element method is regarded as a very useful tool to study the cutting process of materials. The aim of this paper is the modeling and simulation of milling predictive temperature in the cutting zone by using the finite element method. The right choice of finite element software is very important in determining the scope and quality of the analysis that will be performed. In order to predict the occurrence of thermal processing milling was used software package Third Wave AdvantEdge. AdvantEdge contains a user-friendly interface and offers the possibility of creating new tool and workpiece geometries within the program and also to import complex geometries form other CAD files. 3D model of the workpiece and end mill was created in the software package SolidWorks. AdvantEdge also allows users to import complex geometries and have extensive material library and allows specifying new materials uses adaptive meshing to increase the accuracy of solution. Workpiece material AISI 4340 steel and tool material Carbide-General were selected from the library of 3D materials. For proper cutting conditions we have presented the results of simulation-based on which the influence of feed per tooth on the temperature in the cutting zone is analyzed.

Finite Element Analysis of a Frictionally Damped Slender Endmill

2012 ◽  
Author(s):  
Reza Madoliat ◽  
Sajad Hayati
Keyword(s):  
Finite Element ◽  
End Milling ◽  
Friction Stress ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Parameter Study ◽  
Bending Vibration ◽  
Element Analysis ◽  
Tool Axis

This paper primarily deals with suppression of chatter in end-milling process. Improving the damping is one way to achieve higher stability for machining process. For this purpose a damper is proposed that is composed of a core and a multi fingered hollow cylinder which are shrink fitted in each other and their combination is shrink fitted inside an axial hole along the tool axis. This structure causes a resisting friction stress during bending vibration. Using FEA-ANSYS the structure is simulated. Then a parameter study is carried out where the frequency response and the depth of cut are calculated and tabulated to obtain the most effective configuration. The optimal configuration of tool is fabricated and finite element results are validated using modal test. The results show a high improvement in performance of the tool with proposed damper. Good agreement between experiments and modeling is obtained.

Investigation of Chatter Vibration in End-Milling Process by Considering Coupled System Model

2014 ◽  
Vol 939 ◽  
pp. 201-208
Author(s):  
Kosuke Hattori ◽  
Hiroyuki Kodama ◽  
Toshiki Hirogaki ◽  
Eiichi Aoyama
Keyword(s):  
Cutting Tool ◽  
End Milling ◽  
Milling Process ◽  
Work Piece ◽  
Vibration Modes ◽  
Test Results ◽  
Chatter Vibration ◽  
Simple Method ◽  
Excited Vibration ◽  
End Milling Process

Chatter vibration in cutting processes usually leads to surface finish degradation, tool damage, cutting noise, energy loss, etc. Self-excited vibration particularly seems to be a problem that is easily increased to large vibration. The regenerative effect is considered as one of the causes of chatter vibration. Although the chatter vibration occurs in various types of processing, the end-milling is a typical process that seems to cause the chatter vibration due to a lack of rigidity of one or more parts of the machine tools, cutting tool, and work-piece. The aim of our research is to propose a simple method to control chatter vibration of the end-milling process on the basis of a coupling model integrating the related various elements. In this study, hammering tests were carried out to measure the transfer function of a machine tool and cutting tool system, which seems to cause vibration. By comparing these results, finite elemental method (FEM) analysis models were constructed. Additionally, cutting experiments were carried out to confirm the chatter vibration frequencies in end-milling with a machining center. In the hammering tests, impulse hammer and multiple acceleration pick-ups are connected to a multi-channel FFT analyzer and estimate the natural frequencies and natural vibration modes. A simplified FEM model is proposed by circular section stepped beam elements on the basis of the hammering test results, considering a coupling effect. In comparisons of the calculated results and hammering test results, the vibration modes are in good agreement. As a result, the proposed model accurately predicts the chatter vibration considering several effects among the relating elements in end-milling. Moreover, it can be seen that the chatter vibration is investigated from a viewpoint of the integrating model of the end-milling process.

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).

Residual Stresses Modelling of End Milling Process Using Numerical and Experimental Methods

2020 ◽  
Vol 978 ◽  
pp. 106-113
Author(s):  
Marimuthu K. Prakash ◽  
Kumar C.S. Chethan ◽  
Prasada H.P. Thirtha
Keyword(s):  
Finite Element ◽  
Residual Stresses ◽  
End Milling ◽  
Orthogonal Cutting ◽  
Milling Process ◽  
Parent Material ◽  
Machining Processes ◽  
Element Analysis ◽  
1045 Steel ◽  
Cutting Model

Machining has been one of the most sort of process for realizing different products. It has significant role in the value additions process. Machining is one of the production process where material is removed from the parent material to realize the final part or component. Among machining, the well known machining processes are turning, milling, shaping, grinding and non-conventional machining processes like electric discharge machining, ultrasonic machining, chemical machining etc. The fundamental of all these processes being material removal in the form of chips using a tool either in contact or not in contact. In the present work, milling is being taken for study Finite element analysis is being used as a tool to understand the different phenomenon that underlies the machining processes. Of late, the machining induced residual stresses is of great interest to the researchers since the residual stresses have an impact on the functional performances. The present work is to model the milling process to predict the forces and residual stresses using finite element method. Unlike many researchers, the authors have attempted to develop oblique cutting model rather than an orthogonal cutting model. The present work was carried out on AISI 1045 steel.

Cutting forces analysis of micro-milling process on Inconel 718 – a finite element approach

2020 ◽  
Vol 11 (02) ◽  
pp. 2050011
Author(s):  
Padmaja Tripathy ◽  
Kalipada Maity
Keyword(s):  
Finite Element ◽  
Cutting Forces ◽  
Inconel 718 ◽  
Cutting Speed ◽  
Fem Analysis ◽  
Milling Process ◽  
Machining Process ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Machining Parameters

This paper presents a modeling and simulation of micro-milling process with finite element modeling (FEM) analysis to predict cutting forces. The micro-milling of Inconel 718 is conducted using high-speed steel (HSS) micro-end mill cutter of 1mm diameter. The machining parameters considered for simulation are feed rate, cutting speed and depth of cut which are varied at three levels. The FEM analysis of machining process is divided into three parts, i.e., pre-processer, simulation and post-processor. In pre-processor, the input data are provided for simulation. The machining process is further simulated with the pre-processor data. For data extraction and viewing the simulated results, post-processor is used. A set of experiments are conducted for validation of simulated process. The simulated and experimental results are compared and the results are found to be having a good agreement.

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