COMPUTER AIDED NONLINEAR ANALYSIS OF MACHINE TOOL VIBRATIONS AND A DEVELOPED COMPUTER SOFTWARE

Similar documents
Research Article The Microphone Feedback Analogy for Chatter in Machining

UNCERTAINTY PROPAGATION FOR SELECTED ANALYTICAL MILLING STABILITY LIMIT ANALYSES

PERIOD-N BIFURCATIONS IN MILLING: NUMERICAL AND EXPERIMENTAL VERIFICATION

Graphical User Interface (GUI) for Torsional Vibration Analysis of Rotor Systems Using Holzer and MatLab Techniques

Process Damping Coefficient Identification using Bayesian Inference

Machining Dynamics. Experimental characterization of machining processes. TEQIP Workshop on. Dr. Mohit Law

Vibration modelling of machine tool structures

WEEKS 8-9 Dynamics of Machinery

Nonlinear Stability and Bifurcation of Multi-D.O.F. Chatter System in Grinding Process

Chapter 2 Machining Stability

STATE-DEPENDENT, NON-SMOOTH MODEL OF CHATTER VIBRATIONS IN TURNING

Performance Enhancement of Grinding Processes Mutual Interaction between the Material Removal Process and the Machine Tool

MODELLING AND ANALYSIS OF CHATTER MITIGATION STRATEGIES IN MILLING

Evaluation of active structural vibration control strategies in milling process

Influence of friction coefficient on rubbing behavior of oil bearing rotor system

Chatter reduction through active vibration damping

Molecular Dynamics Simulation of Nanometric Machining Under Realistic Cutting Conditions Using LAMMPS

Influence of Torsional Motion on the Axial Vibrations of a Drilling Tool

MODELING OF REGENERATIVE CHATTER OF A MILLING PROCESS TO DELINEATE STABLE CUTTING REGION FROM UNSTABLE REGION

EXPERIMENTAL DETERMINATION OF DYNAMIC CHARACTERISTICS OF STRUCTURES

Precision Engineering

Use of Full Spectrum Cascade for Rotor Rub Identification

IDENTIFICATION OF NONLINEAR CUTTING PROCESS MODEL IN TURNING

Reduction of chatter vibrations by management of the cutting tool

Dynamics of Rotor Systems with Clearance and Weak Pedestals in Full Contact

NON-LINEAR ROTORDYNAMICS: COMPUTATIONAL STRATEGIES

The student will experimentally determine the parameters to represent the behavior of a damped oscillatory system of one degree of freedom.

DYNAMICS ASPECT OF CHATTER SUPPRESSION IN MILLING

Dynamics of Machinery

Sources of nonlinearities, chatter generation and suppression in metal cutting

Active in-process chatter control E.J.J. Doppenberg*, R.P.H. Faassen**, N. van de Wouw**, J.A.J. Oosterling*, H. Nijmeijer**,

Effect of an hourglass shaped sleeve on the performance of the fluid dynamic bearings of a HDD spindle motor

Chapter 2: Rigid Bar Supported by Two Buckled Struts under Axial, Harmonic, Displacement Excitation..14

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 1B. Damping

DYNAMIC ISSUES AND PROCEDURE TO OBTAIN USEFUL DOMAIN OF DYNAMOMETERS USED IN MACHINE TOOL RESEARCH ARIA

SHAKING TABLE DEMONSTRATION OF DYNAMIC RESPONSE OF BASE-ISOLATED BUILDINGS ***** Instructor Manual *****

Wheel Regenerative Chatter of Surface Grinding

Design Parameter Sensitivity Analysis of High-Speed Motorized Spindle Systems Considering High-Speed Effects

MECHANICS OF METAL CUTTING

MOOC QP Set 2 Principles of Vibration Control

: TEACHING DIFFERENTIAL EQUATIONS WITH AN ENGINEERING FOCUS

Chaotic Vibration and Design Criteria for Machine Systems with Clearance Connections

VTU-NPTEL-NMEICT Project

Chapter 23: Principles of Passive Vibration Control: Design of absorber

Study of coupling between bending and torsional vibration of cracked rotor system supported by radial active magnetic bearings

CFD DESIGN OF A GENERIC CONTROLLER FOR VORTEX-INDUCED RESONANCE

Design of Structures for Earthquake Resistance

Prob. 1 SDOF Structure subjected to Ground Shaking

Analysis of the Chatter Instability in a Nonlinear Model for Drilling

CHATTER STABILITY OF TURNING AND MILLING WITH PROCESS DAMPING MAHDI EYNIAN. B.A. Sc. Sharif University of Technology, 2001

3 Mathematical modeling of the torsional dynamics of a drill string

3D cutting force analysis in worn-tool finish hard turning. Jianwen Hu, Hui Song and Y. Kevin Chou*

Evaluation of Cutting Forces and Prediction of Chatter Vibrations in Milling

Determination of Proportionality Constants from Experiments to Develop a Force Model for Reaming Process.

Chapter a. Spring constant, k : The change in the force per unit length change of the spring. b. Coefficient of subgrade reaction, k:

Finite Element Modules for Demonstrating Critical Concepts in Engineering Vibration Course

ME 563 HOMEWORK # 7 SOLUTIONS Fall 2010

Research Article Stability Analysis of Journal Bearing: Dynamic Characteristics

The Self-Excitation Damping Ratio in Variable Speed Milling

Approximation of Top Lyapunov Exponent of Stochastic Delayed Turning Model Using Fokker-Planck Approach

1 Introduction. Minho Lee 1 Jihoon Lee 1 Gunhee Jang 1

DYNAMIC ANALYSIS OF THE STRUCTURE OF A MACHINE TOOL FOR WOODWORKING

Transient Vibration Prediction for Rotors on Ball Bearings Using Load-Dependent Nonlinear Bearing Stiffness

This is an author-deposited version published in: Handle ID:.

Theory and Practice of Rotor Dynamics Prof. Dr. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati

Time domain simulation of chatter vibrations in indexable drills

OPTIMIZATION ON SURFACE ROUGHNESS OF BORING PROCESS BY VARYING DAMPER POSITION

ON NUMERICAL ANALYSIS AND EXPERIMENT VERIFICATION OF CHARACTERISTIC FREQUENCY OF ANGULAR CONTACT BALL-BEARING IN HIGH SPEED SPINDLE SYSTEM

Design of Earthquake-Resistant Structures

Excel Spreadsheet in Mechanical Engineering Technology Education

The Phasor Analysis Method For Harmonically Forced Linear Systems

Modeling and Experimentation: Mass-Spring-Damper System Dynamics

AN EXAMINATION OF SURFACE LOCATION ERROR AND SURFACE ROUGHNESS FOR PERIOD-2 INSTABILITY IN MILLING

Modification of a Sophomore Linear Systems Course to Reflect Modern Computing Strategies

Application of Taguchi method in optimization of control parameters of grinding process for cycle time reduction Snehil A. Umredkar 1, Yash Parikh 2

Model-Based Diagnosis of Chaotic Vibration Signals

SURFACE PROPERTIES OF THE MACHINED WORKPIECE FOR HELICAL MILLS

VIBRATION ANALYSIS OF E-GLASS FIBRE RESIN MONO LEAF SPRING USED IN LMV

midas Civil Dynamic Analysis

ANALYSIS OF RESONANCE OF A SURFACE GRINDER

Active control of time-delay in cutting vibration

FORCES, VIBRATIONS AND ROUGHNESS PREDICTION IN MILLING USING DYNAMIC SIMULATION

Vibration Measurements Vibration Instrumentation. MCE371: Vibrations. Prof. Richter. Department of Mechanical Engineering. Handout 11 Fall 2011

Development of Measuring System for the Non-Repetitive Run-Out(NRRO) of Ball Bearing

COMBINING TOOL WEAR AND DYNAMICS IN HIGH-SPEED MACHINING PERFORMANCE PREDICTION

Vectors in Physics. Topics to review:

Control of Manufacturing Process

Precision Machine Design

MEI STRUCTURED MATHEMATICS 4763

3D Finite Element Modeling and Vibration Analysis of Gas Turbine Structural Elements

Analytic solution of simplified Cardan s shaft model

CHATTER DYNAMIC ANALYSIS FOR A PLANING MODEL WITH THE EFFECT OF PULSE

Theory and Practice of Rotor Dynamics Prof. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati

Forced Oscillations in a Linear System Problems

Laboratory notes. Torsional Vibration Absorber

Modeling and simulation of multi-disk auto-balancing rotor

Dr.Vinod Hosur, Professor, Civil Engg.Dept., Gogte Institute of Technology, Belgaum

AC : DEVELOPMENT OF VISUALIZATION TOOLS FOR ONE AND MULTIPLE DOF DYNAMIC SYSTEMS

INCREASING THE EFFICIENCY OF EXTERNAL TURNING BY USING THE MULTIPLE LAYER CONSTRUCTION OF THE CUTTING TOOL HOLDER

Stability of orthogonal turning processes

Transcription:

Mathematical and Computational Applications, Vol. 10, No. 3, pp. 377-385, 005. Association for Scientific Research COMPUTER AIDED NONLINEAR ANALYSIS OF MACHINE TOOL VIBRATIONS AND A DEVELOPED COMPUTER SOFTWARE Ahmet Taskesen Department of Mechanical Education, Gazi University, 06500, Ankara, Turkey Yucel Ercan Department of Mechanical Engineering, TOBB Economics and Technology University, 06560, Ankara, Turkey Abstract- A computer program package is developed by using Visual Basic programming language in order to analyze one and two degree of freedom of machine tool chatter vibrations. The developed software accepts the machine tool properties, work piece properties and cutting parameters as inputs, calculates the time responses of selected cutting parameters and displays the results in graphical form. Hence the appropriate values of cutting parameters can be predicted for chatter-free operation of the machine tool. Keywords- Computer simulation, Computer-aided analysis, Numerical analysis, Nonlinear vibrations, Dynamical modeling, 1. INTRODUCTION Generally, a violent vibration of the tool, which is called chatter, negatively affects machining of metals. The most important property of chatter is that it is a self-excited vibration, which is closely related to the dynamic behavior of the cutting forces and the machinery structure. This is an undesirable condition because it adversely affects the surface finish quality, machining accuracy, tool life and spindle bearing life. In addition, chatter is also responsible for reducing production output because, if no solution can be found, metal removal rates have to be lowered until vibration-free performance is obtained. Furthermore, chatter is so inconsistent in character that the tendency of a machine to exhibit chatter is often not realized during the development stage [1]. In this study, chatter dynamics, which is modeled by one and two degree in [1,], is transferred to the computer by using Visual Basic programming language. By this software, after inputting the cutting parameters by the user; vibrations of tool displacement, shear angle, friction coefficient and cutting forces can be obtained easily. MATLAB and Visual Basic softwares are used interactively for the solution of numerical equations. Since the dynamic equations related to vibration analysis are very complex, these equations are solved numerically. For the solution of these complex equations, some libraries of MATLAB software package are used in Visual Basic program. Fourth order Runga-Kutta method is used for numerical integration of the dynamic equation.. DEVELOPED COMPUTER SOFTWARE A computer program is developed by using Visual Basic programming language in order to analyze machine tool chatter vibrations. The first module of this software is about turning operations. The menus such as milling, drilling and grinding are included to the software for the future developments (Figure 1). Some dialogue menus are used for data input and result output. At any time that one needs help, help menu could be selected. After selecting the operation type, the main menu appears for inputting cutting tool geometry, machine tool properties, work-piece material and cutting parameters

378 Ahmet Taskesen and Yucel Ercan (Figure ). In chatter vibration analysis, the parameters that the user wants to see as output can be selected from sub menu called General. Machine tool properties are asked in Machine Tool submenu as seen in Figure 3. The stiffness and damping of the machine tool in x and y direction and mode angle are inputted. Selection of work piece material is seen from Figure 4. Selection of work piece material can be chosen from material library or the user can define new materials. Selection of cutting parameters is seen from Figure 5. Feed rate of the cutting tool, revolution number of work piece, cutting velocity, cutting width and ploughing force coefficient are input by the user. Figure1 Selection of process type

Computer Aided Nonlinear Analysis of Machine Tool Vibrations 379 Figure Main menu and simulation number Figure 3 Inputting of Machine tool properties

380 Ahmet Taskesen and Yucel Ercan Figure 4 Selection of work piece material properties Finally, cutting tool parameters such as clearance angle and rake angle are asked as seen from Figure 6. After inputting all of the cutting parameters by the user, dynamic equations are solved and variations of selected variables can be obtained. The program numerically solves the dynamic equations. Flow chart of the numerical calculation procedure is shown in figure 7. At the beginning of calculations, cutting parameters, material properties and machine tool properties are input. Then, shear angle φ and cutting forces are calculated by using the dynamic equations that are developed in the models of [1] and []; cutting tool position and velocity values are obtained by integrating dynamic equation numerically. Then, the time is incremented by t and the calculations are repeated until the final time t f is reached. Fourth order Runga-Kutta method is used for numerical integration of the dynamic equation. Variations of the variables that are selected as output by the user, and vibration amplitude of these variables are obtained. Results are presented numerically and graphically (Figure 8). If results are not suitable (i.e. there is chatter vibration), cutting parameters that are free from chatter can be searched by changing various cutting parameters that affects the results. Finally, suitable cutting parameters free from chatter vibrations can be obtained. Equations which are developed in dynamic models of Taskesen and Ercan [1,] and which are used for this software package are as follows: Angle equations: qd ( v Cos sin φ + A ) ( φ + γ ) q 1 cos( φ + β + γ + η ) 1+ d v sin φ v sign ( + A ) sin φ sin( φ + η ) cos γ cos( β + γ ) cos cos( φ + γ ) v sin φ ( + A ) cos( φ + γ ) q = 0 ( φ + γ ). Here, the parameters d and q (q<0) are determined from the steady state cutting data. φ = Shear plane angle, γ = Instantaneous rake angle, v = dimensionless cutting speed, η= Surface slope of instantaneous cutting direction. (1)

Computer Aided Nonlinear Analysis of Machine Tool Vibrations 381 Figure 5 Selection of cutting parameters Figure 6 Selection of cutting tool geometry A = Y cosγ 0 + X sinγ 0 () 0 tan 1 Y γ = γ ( ) (3) v + X

38 Ahmet Taskesen and Yucel Ercan tan 1 Y η = ( ) v + X (4) µ d u q = r s 0ωn1 (5) β = tan 1 µ (6) Force equations: (1 Y ) F R = (7) λ + [ sin( φ+ η)cos( φ+ β γ )] FC = FR cos( β+ γ ) Ft = FR sin( β+γ ) (8) F = F sin( β γ 0 ) F = F β γ y R x R cos( 0 ) Read Inputs: v, γ o, α 0, λ, s 0 ω n, t f t* = 0 Calculate φ values from angle equation Select the appropriate φ D Integrate equation for one time step. Store the normalised values of tool displacement and tool velocity. y > t c No F y = F R sin (β + γ + η) Yes F y = 0 No Increment time t=t+ t t > t f Yes Print results Calculate and store the values of shear angle, friction angle and cutting forces. End D Figure 7 Flow chart of the numerical calculation procedure

Computer Aided Nonlinear Analysis of Machine Tool Vibrations 383 Figure 8 Result screen Parameters used for the equations ()-(8) are as follows: X Dimensionless horizontal displacement of cutting tool in x direction Y Dimensionless vertical displacement of cutting tool in y direction γ 0 Preset rake angle ω n Natural frequency u r Chip velocity relative to the tool s 0 Feed rate β Friction angle µ Friction coefficient F R Resultant force F C Cutting force Ft Thrust force λ Normalized force F x x-component of resultant force y-component of resultant force F y

384 Ahmet Taskesen and Yucel Ercan Dynamic equations: α η Y + ζ 1 + hy Y+ Y = F y η X+ ζ ω & & ω α Y + ζ 1Y+ Y = F y X+ ζ ω ω r X + hx Y + r X = F x r X+ r X = F x The parameters used for the dynamic equations are, hx Empirical process damping coefficient in x direction hy Empirical process damping coefficient in y direction ζ 1 ζ Damping ratio of machine tool in y- direction Damping ratio of machine tool in x-direction α Instantaneous clearance angle t* Dimensionless time t C Uncut chip thickness The initial conditions for the solution of dynamic equations are assumed to be as follows: Y( 0 ) = Y ( 0) = 0 X( 0 ) = X ( 0) = 0 for Y <0 for Y >0 3. CONCLUSIONS This paper focuses on the vibration analysis of machine tools. In order to do these, a computer program which analyses chatter vibrations of machine tool with one and two degree of freedom is developed by using Visual Basic programming language. Based on the generated results, the following conclusions can be made: a. The developed computer program is completely flexible and allows users to create their own specific applications. The vibrations that are encountered in machining can be predicted without need of any documents and simulation results can be shown graphically. Thus, suitable cutting conditions free from chatter can be obtained. Since the dynamic equations related to vibration analysis are very complex, these equations are solved numerically. b. The results of the simulations that are carried out in a wide range of cutting conditions and tool geometries are in good agreement with the existing experimental data in the literature. Therefore, reliability of the developed model in predicting the effects of tool geometry and cutting conditions on tool vibration has been demonstrated. c. Dynamic variations of tool displacement, shear angle, friction coefficient and cutting forces are presented graphically. Therefore, the user approaches the results step by step in analyzing vibration analyze. The computer program developed in this study may be used for teaching purposes in machine tool vibration in educational organizations. REFERENCES (9) (10)

Computer Aided Nonlinear Analysis of Machine Tool Vibrations 385 1. A. Taskesen and Y. Ercan, Theoretical analysis and prediction of machine tool stability and chatter vibration during orthogonal metal cutting with a one degree of freedom model, 11 th Machine Theory Symposium, Gazi.University, 003.. A. Taskesen. and Y. Ercan, Theoretical analysis and prediction of machine tool stability and chatter vibration during orthogonal metal cutting with a two degree of freedom model, 11 th Machine Theory Symposium, Gazi.University, 003. 3. M. Wiercigroch, Chaotic vibration of a simple model of the machine tool- cutting process system, ASME Journal of Engineering for Industry, 119, 468-475, 1997. 4. I. Yellowley, A simple predictive model of orthogonal metal cutting, International Journal of Machine Tools and Manufacturing, 7, 357-365, 1987. 5. E. Konodo, H. Ota and T. Kawai, A new method to detect regenerative chatter using spectral analysis, Part 1: Basic study on criteria for detection of chatter, Journal of Manufacturing Science and Engineering, 119, 461-466, 1997. 6. K. Jemielniak, A. Widota, Numerical simulation of non-linear vibration in turning, International Journal of Machine Tools and Manufacturing, 9, 39-47, 1989. 7. G. Tlusty, Manufacturing processes and equipment, New York, Prentice Hall, 000.