real time chatter vibration control system in high speed ... · test tion tion ram ting ther or a...

9
Journal of Materials Science and Engineering A 5 (5-6) (2015) 221-229 doi: 10.17265/2161-6213/2015.5-6.005 Real Time Chatter Vibration Control System in High Speed Milling Hyeok Kim 1 , Mun-Ho Cho 1 , Jun-Yeong Koo 1 , Jong-Whan Lee 2 and Jeong-Suk Kim 3* 1. School of Mechanical Engineering, Pusan National University, Busan 609-735, Republic of Korea 2. Department of Mechtronics Engineering, Korea Aviation Polytechnic, Busan 616-741, Republic of Korea 3. Department of Mechanical Engineering, Pusan National University, ERC/NSDM,Busan 609-735, Republic of Korea Abstract: This paper presents the chatter vibration avoidance method in high speed milling. Chatter vibrations have a bad influence on surface integrity and tool life. So how to get the cutting conditions without chatter vibration is very important. In order to get stable cutting condition, too many parameters are required. So this paper focuses on simplification and real-time control of chatter avoidance program. The developed method uses only microphone signal for chatter vibration sensing. The measuring signal is analyzed by FFT (Fast Fourier transform) method to get whether or not the chatter vibration is generated on cutting condition. If chatter vibration occurs, the developed program suggests stable cutting speed in real time with tool teeth number, damping ratio and chatter frequency. This suggested that the program reliability is confirmed by dynamic cutting forces and surface profiles. Key words: Chatter vibration, milling, impact test, real-time control, frequency response function, lab view. 1. Introduction Because of the acceleration and superior precision of machine tools, the numerous high-quality products are currently produced. However, chatter vibration, which degrades the quality of processed products, remains a problem to be solved. Chatter vibration, which causes problems during the manufacturing process, appears to be a self-excited vibration. When chatter vibration occurs, a chatter mark exhibits a wave pattern appears on the surface of the processed product, and thus, the processing grade is degraded. Additionally, the load on the axial system increases, the tool-life is reduced, and damage occurs owing to the vibration. Accordingly, the processing cost increases, resulting in a drop in productivity [1]. Thus, it is necessary to research a program that can detect chatter vibration and propose a stable spindle speed that can prevent chatter vibration according to the dynamic characteristics of the axial system. A lobe diagram is a graph illustrating the * Corresponding author: Jeong-Suk Kim, tenure professor, research fields: machine tools, dynamics and metal cutting. E-mail: [email protected]. relationship between the rotational speed and the depth of cut of the spindle [2]; this is the most fundamental theory. However, because it requires extensive parameters to be applied in the practical industrial field, it is not often used. Thus, in the present research, stable and unstable areas are not determined according to the lobe diagram [3]. Instead, this research aims to easily apply the stable cutting condition through the chatter frequency only when chatter vibrations occur so that chatter vibration can be prevented [4]. The purpose of this study is to develop a virtual dynamic system that proposes a virtual condition to analyze the signal characteristics when chatter vibration occurs during processing and to prevent chatter vibration by using lab view. 2. Virtual Dynamic Machining System A VDMS (Virtual dynamic machining system) was developed to precisely detect chatter vibration that occur during processing, and to effectively reduced it. In existing research on chatter vibration, numerous variables have been used to generate a model that is similar to practical chatter vibration [5]. D DAVID PUBLISHING

Upload: others

Post on 26-Jan-2021

3 views

Category:

Documents


0 download

TRANSCRIPT

  • Journal of Materials Science and Engineering A 5 (5-6) (2015) 221-229 doi: 10.17265/2161-6213/2015.5-6.005

    Real Time Chatter Vibration Control System in High Speed Milling

    Hyeok Kim1, Mun-Ho Cho1, Jun-Yeong Koo1, Jong-Whan Lee2 and Jeong-Suk Kim3*

    1. School of Mechanical Engineering, Pusan National University, Busan 609-735, Republic of Korea

    2. Department of Mechtronics Engineering, Korea Aviation Polytechnic, Busan 616-741, Republic of Korea

    3. Department of Mechanical Engineering, Pusan National University, ERC/NSDM,Busan 609-735, Republic of Korea Abstract: This paper presents the chatter vibration avoidance method in high speed milling. Chatter vibrations have a bad influence on surface integrity and tool life. So how to get the cutting conditions without chatter vibration is very important. In order to get stable cutting condition, too many parameters are required. So this paper focuses on simplification and real-time control of chatter avoidance program. The developed method uses only microphone signal for chatter vibration sensing. The measuring signal is analyzed by FFT (Fast Fourier transform) method to get whether or not the chatter vibration is generated on cutting condition. If chatter vibration occurs, the developed program suggests stable cutting speed in real time with tool teeth number, damping ratio and chatter frequency. This suggested that the program reliability is confirmed by dynamic cutting forces and surface profiles. Key words: Chatter vibration, milling, impact test, real-time control, frequency response function, lab view.

    1. Introduction

    Because of the acceleration and superior precision of machine tools, the numerous high-quality products are currently produced. However, chatter vibration, which degrades the quality of processed products, remains a problem to be solved. Chatter vibration, which causes problems during the manufacturing process, appears to be a self-excited vibration. When chatter vibration occurs, a chatter mark exhibits a wave pattern appears on the surface of the processed product, and thus, the processing grade is degraded. Additionally, the load on the axial system increases, the tool-life is reduced, and damage occurs owing to the vibration. Accordingly, the processing cost increases, resulting in a drop in productivity [1]. Thus, it is necessary to research a program that can detect chatter vibration and propose a stable spindle speed that can prevent chatter vibration according to the dynamic characteristics of the axial system. A lobe diagram is a graph illustrating the

    *Corresponding author: Jeong-Suk Kim, tenure professor,

    research fields: machine tools, dynamics and metal cutting. E-mail: [email protected].

    relationship between the rotational speed and the depth of cut of the spindle [2]; this is the most fundamental theory. However, because it requires extensive parameters to be applied in the practical industrial field, it is not often used. Thus, in the present research, stable and unstable areas are not determined according to the lobe diagram [3]. Instead, this research aims to easily apply the stable cutting condition through the chatter frequency only when chatter vibrations occur so that chatter vibration can be prevented [4]. The purpose of this study is to develop a virtual dynamic system that proposes a virtual condition to analyze the signal characteristics when chatter vibration occurs during processing and to prevent chatter vibration by using lab view.

    2. Virtual Dynamic Machining System

    A VDMS (Virtual dynamic machining system) was developed to precisely detect chatter vibration that occur during processing, and to effectively reduced it.

    In existing research on chatter vibration, numerous variables have been used to generate a model that is similar to practical chatter vibration [5].

    D DAVID PUBLISHING

  • 222

    However,the occurrensimplified vFig. 1. The six modules(Fast Fourieforce acquismodule, a module, andmodule. Inpare samplingedges. Spindthe detected chatter frequnecessary inspeed.

    The strucVDMS is shmodule is asnotification modules areand detectedmodule locacutting forcmicrophone the specificaselected. That Position 6

    Fig. 1 Flowc

    R

    , the present rnce of chatter variables. Flow

    present progs: a data filteer transform)sition modulchatter vibrad a stable sput values reqg rate, spindledle speed is rfrequency is

    uency. And thnput value for

    cture of the fhown in Figs follows: Thand stable sp

    e located at Pd frequency aated at Positce signal. is located at

    ations of thehe impact exc6.

    chart of VDMS

    Real Time Cha

    research focuvibration in rwchart of VD

    gram consists er processing) analysis mle, an impacation occurrepindle speed quired for runne speed, and nrequired to des a tool passinhe number of r calculating t

    front panel og. 2 and the he chatter vibrpindle speed Position 1. Thare marked ation 3 is for The FFT at Position 4, ae filter for thcitation test m

    S process.

    atter Vibratio

    used on detecreal time by uDMS is show

    of the followg module, a

    module, a cutct excitation ence notificarecommendaning the prognumber of cutetermine wheng frequency cutting edgesthe stable spi

    of the developosition of eration occurrerecommendahe input vari

    at Position 2. determining

    analysis moand at Positiohe signal canmodule is loc

    on Control Sy

    cting using wn in wing FFT tting test

    ation ation gram tting ether or a

    s is a indle

    oped each ence ation iable The

    g the dule on 5 n be cated

    2.1

    Trespimptestexcin one

    Tfreqdamplacwasdammodoccillu

    2.2C

    Tdetefromthrotranthe ampdetedetecertthe knofreqquaexpscopnatuscopocctwoaxicha

    ystem in High

    Impact Excit

    This module wponse data of pact hammer t data, the maitation moduthe two-dim

    e-dimensionalThen, by usquency of thmping ratio δ,ces at which s ± 1/√2 [6]. mping ratio dule, which wurrence of chstrated in Fig

    Chatter Detec

    The developedermining them the microough the Dnsmitted to thfilter. The freplitude of tected by usinermine the frtain value, a tfrequency co

    own that chaquency of antitatively esperiment, chatpe between aural frequencpe, the preliurred only w

    o and a half al system. Bat ter freque

    h Speed Millin

    tation Test Mo

    was operatedf the axial systand accelero

    agnitude valule, and the ma

    mensional arrl array. sing the peahe primary m, was calculathe amplitudeThe calculat

    were deliverwas used to dhatter vibratiog. 3.

    cting Method

    d VDMS cone cutting signophone is cAQ (Data ahe FFT analyequency contthe analyzedng the peak requency thatthreshold val

    ontent could btter vibrationthe axial s

    stablished. Btter vibration

    approximatelycy of the axiiminary expe

    within the scopf times the nBased on thency fc was

    ng

    Module

    d by loading ttem, obtainedmeter. Amon

    ue was used iagnitude valuray was con

    ak detector, mode was calated after estae of the naturted natural frred to the Fdesignate the on. The prepar

    d Constructed

    nducts FFT annal. The sig

    conveyed to acquisition)ysis module tent that has thd microphondetector. Addt has an amplue was desigbe detected. Gn occurs neaystem, but ecause of the

    n occurred ony two and a hial system. Beriment, chatpe between apnatural frequhis scope, ths establishe

    the excitationd by using theng the impactin the impactue configurednverted to a

    the naturallculated. Theablishing tworal frequencyrequency andFFT analysis

    scope of thered module is

    d Module

    nalysis whilenal obtainedthe VDMS

    ) board andafter passinghe maximumne signal isditionally, tolitude over a

    gnated so thatGenerally, it isar the natural

    nothing ise preliminarynly within thehalf times theBased on thistter vibrationpproximately

    uency of thehe scope ofed by using

    n e t t d a

    l e o y d s e s

    e d S d g

    m s o a t s l s y e e s n y e f g

  • Fig. 2 Front

    Fig. 3 Block

    the natural fin the impacdefined by u

    Next, an content of tinputting thdetected in

    R

    t panel of VDM

    k diagram of im

    frequency fn, ct excitation tusing:

    fn/2 <algorithm

    the tool passhe spindle sthe FFT ana

    Real Time Cha

    MS.

    mpact excitatio

    of the axial sest module, a

    < fc < 2fn that remove

    sing frequencspeed value. alysis module

    atter Vibratio

    on test module.

    system calculand the result

    es the harmcy was added

    The frequee falls under

    on Control Sy

    .

    lated was

    (1) monic

    d by ency r the

    scopthe freqas calcproare oneandthe opeaxiaaccmagmodtwoonedetewasaftethe natuthe the

    ystem in High

    pe of Eq. (1)threshold. Th

    quency, not tthe chatter

    culating the pcessed as fol

    FFT cone-dimensionald magnitude.

    maximum aerated by loadal system, obtelerometer. gnitude valudule, and the

    o-dimensionale-dimensionalector, the nas calculated. er establishing

    natural frequural frequencFFT analysisscope of the

    h Speed Millin

    and has the mhe frequency cthe harmonicr frequency.present proceslows. The signverted anl array after bAmong the

    amplitude is ding the excittained by usinAmong thee was used e magnitude l array wl array. The

    atural frequenThe dampin

    g two places uency was ± cy and dampins module, whe occurrence

    ng

    maximum amcontent of the

    c content, wa. The progss is shown ingnals that pasnd inserted being separatesignals, the detected. Thtation responsng the impact impact tesin the impavalue confi

    was converen, by usinncy of the prng ratio δ waat which the 1/√2 [5]. Th

    ng ratio werehich was used

    of chatter vi

    223

    mplitude overe tool passingas establishedgram sourcen Fig. 3 and isssed the filter

    into theed into f0, df,frequency of

    his module isse data of thet hammer andst data, the

    act excitationgured in therted to ang the peakrimary modeas calculatedamplitude ofhe calculatede delivered tod to designateibration. The

    3

    r g d e s r e , f s e d e n e a k e d f d o e e

  • Real Time Chatter Vibration Control System in High Speed Milling

    224

    prepared module was illustrated in Fig. 2. through the peak detector and compared with the input machining speed to determine whether it was a tool passing frequency. Then, after confirming whether it occur near the natural frequency, the result was presented through the chatter vibration in the comparison operator. The chatter frequency detected in this process was conveyed to the indicator, which indicated whether chatter vibration had occurred. Additionally, the detected chatter frequency was used in the calculation of stable spindle speed, and the damping ratio δ required in this process is the value obtained by the impact excitation test module. The relationship between the chatter frequency fc and stable spindle speed N, which is calculated by Eq. (2) [7].

    N = 60fc / (i(1 + δ)nt) (2) N: Stable cutting speed (revolution per min). fc: Chatter vibration frequency. i: Lobe number. δ: Damping ratio. nt: Number of cutting tool edge.

    2.3 Cutting Force Acquisition Module

    The cutting signal determined by the cutting force acquisition module is displayed in a graph in two ways: moving average method and resultant force method of each component of force. Resultant force FR is calculated through the component of force in the tri-axis direction, according to Eq. (3). When chatter vibration occurs, the resultant force largely increases compared to the stable machining; thus, the credibility of the chatter vibration detection is measured by using the size of the resultant force.

    FR = (Fa2 + Fr2 + Ft2)1/2 (3) FR: Resultant force. Fa: Axial force. Fr: Radial force. Ft: Tangential force. The module is prepared to add a scale input, which is

    the software amplifier, to the program, in addition to

    the hardware amplifier of the cutting signal.

    3. Experimental Setup

    3.1 Impact Test Setup

    Because the chatter vibration evasion process of the present research is conducted under the mechanism of detecting chatter vibration through the natural frequency of the axial system, it is prioritized to identify the dynamic characteristics of the axial system.

    The impact hammer underwent excitation by using Type 8206-002 from Bruel & Kjaer, and an accelerometer obtained a response signal by using Type 4384 from Bruel & Kjaer. In the case of the shock excitation test, the proficiency of the experimenter largely affects the result; thus, the frequency response was obtained through 10 mean value calculations by using only the experimental data, which features the credibility of the coherence function.

    A schematic diagram of the experiment equipment is shown in Fig. 4.

    3.2 Cutting Experimental Setup

    The present experiment was conducted at the MAKINO V55 tri-axis machining center. Regarding the signal during the cutting, data similar to the accelerometer were gathered, and for the sake of convenience in usage and signal measurement, the data were obtained by using the microphone (Bruel & Kjaer, Type 4189). Additionally, the distance between the areas at which the sensing and machining occurred was fixed at approximately 400 mm. The cutting force was obtained by using a Kistler 9257B-type dynamometer, and a Kistler 5019B130-type amplifier was used. The machined material was AISI 1045; the form of the machined product featured a low slenderness ratio, and thus, was machined to a bulk type so that vibration could not occur. Cutting fluid was not used here, and the filter used in determining the signal was a bandpass-type windowed FIR filter. The band was within 100 Hz to 5,000 Hz. The UT coating end mill from Unimax was used as the tool.

  • Fig. 4 Block

    Fig.5 Front

    There were tThe length oestablished alonger, so theasily. The mand the sche

    4. Results

    4.1 Results o

    In the cas

    R

    k diagram of F

    panel of VDM

    two cutting eof the tool inat approximahat chatter vibmachining conematic diagram

    of the Impact

    se of VDMS,

    Real Time Cha

    FFT module.

    MS.

    edges with dianstalled in theately 55 m, wbration couldnditions were m was shown

    Excitation Te

    the peak wa

    atter Vibratio

    ameter of 10 e tool holder

    which was sligd occur relati

    listed in Tabn in Fig. 6.

    Test

    as obtained at

    on Control Sy

    mm. was

    ghtly ively le 1,

    t the

    Tab

    SpiDepRadFeeCut

    Fig.

    pointestindithe grapfreqin th1,40.04deteto 2

    4.2

    Awheincrconspecutcondepwasof tthe

    ystem in High

    ble 1. Cutting

    indle speed pth of cut (mm)dial of cut (mmed rate (mm/mintting method

    .6 Experimen

    nt of the inflet data; thus, iticated in Fig. impact test wph tool and quency, calcuhe impact exc16 Hz, and th41. The scopected through2,832 Hz.

    Cutting Forc

    As indicated en chatter vibrease compar

    ndition. The ced of 5,830 Rting force o

    nditions of 5,pth of cut, ws more than tthe stable mac

    introductor

    h Speed Millin

    g conditions.

    5,00) 1.0

    m) 3.0 n) 1,00

    Slot

    ntal setup.

    ection of magt was display7. The undis

    was confirmedwas shown

    ulated by loadcitation test mhe damping rpe in which h natural freq

    ce Analysis

    in Fig. 9, thebration occursred to that uncutting force aRPM and deof 556 N w,000 RPM sp

    where chatter two times larchining condry and end

    ng

    00 513

    00 1cutting

    gnitude amoned in a distortorted magnitd through the

    n in Fig. 8. ding the expermodule of theratio was calcthe chatter v

    quency was w

    e size of the s appeared to nder the stablaveraged 246epth of cut of

    was measurepindle speed

    vibration ocrger than the dition. The cu

    portions of

    225

    ,830 .0 .0 ,135

    ng the impactrted graph, astude graph ofe Origin Pro*

    The naturalrimental data

    e VDMS, wasculated to be

    vibration waswithin 703 Hz

    cutting forceconsiderablyle machining

    6 N at spindlef 1.0 mm. Ad under theand 1.0 mm

    ccurred. Thiscutting force

    utting force atf the cutting

    5

    t s f * l a s e s z

    e y g e

    A e

    m s e t g

  • 226

    Fig. 7 Impa

    Fig. 8 Impa

    Fig. 9 Cutti

    R

    act test result o

    act test result o

    ng forces depe

    Real Time Cha

    f VDMS.

    f Origin Pro*.

    ending on cutti

    atter Vibratio

    ing conditions.

    on Control Sy

    .

    ystem in Highh Speed Millinng

  • Fig. 10 Fron

    increased ow

    4.3 Front Pa

    To evaluaVDMS, whsignal, was machining condition.

    Chatter v5,000 RPM condition is frequency wsound was confirmed thof the machthe chatter inspindle spefrequency.

    Spindle sspeed, calcthe previorecommende15,164 RPM

    R

    nt panel of VD

    wing to the sh

    anel Verificat

    ate the validihich was ope

    determined to verify th

    vibration ocand depth of described in

    was 2,630 Hz,generated in

    hat a chatter hined productndicator lighted was calc

    speed of 5,83culated by thous conditied spindle speeM; thus, 5,830

    Real Time Cha

    DMS (spindle sp

    hock from rot

    tion of VDMS

    ity of the chaerated after in real time

    he front pa

    ccurred at spf cut of 1.0 mmn Fig. 10. The

    and a high-pn the air. Mmark appearet. When the t activated (reculated throu

    30 RPM is thhe chatter fion. The ed was betwee0 RPM, whic

    atter Vibratio

    peed 5,000 RP

    tation [9].

    S

    atter detectiothe microph

    e during milanel under e

    pindle speedm; this machine detected chpitched chatteMoreover, it ed on the surchatter occur

    ed), and the stugh the dete

    he stable spinfrequency unscope of

    en 5,830 RPM ch was the clo

    on Control Sy

    M, depth of cu

    on of hone lling each

    d of ning atter

    ering was

    rface rred, table ected

    ndle nder

    the and

    osest

    valucon

    Cof 5andsurfwhiTheandwhilighnot

    4.4

    Wchaof Vthe RPMwhia chof Vindi

    ystem in High

    ut 1.0 mm).

    ue to 5,000 Rndition. Chatter vibrat5,830 RPM spd the chatter mface. The peaich is the fife front panel od unlike the frich chatter viht remained gappear.

    Machining S

    When chatteratter mark appVDMS to dist

    surface obsM and depth ich chatter vibhatter mark wVDMS. The icated in Fig

    h Speed Millin

    RPM, was s

    tion did not opindle speed mark did not

    ak frequency dfth content oof this conditi

    front panel unibration occugreen and the

    Surface

    r vibration opeared on thetinguish chattservation. Atof cut of 1.0 bration was g

    was confirmesurface stat

    g. 12, which

    ng

    elected as th

    occur under thand 1.0 mm

    t appear on tdetected heref tool passinion is illustrat

    nder the condurred, the chae stable spind

    occurred, a ce surface; thuter was confirt spindle spemm, the con

    generated, thed, as shown

    tus of this coshows one su

    227

    he machining

    he conditionsdepth of cut,

    the machinede was 470 Hz,ng frequency.ted in Fig. 11

    ditions duringatter indicatordle speed did

    cross-stripedus, reliabilityrmed througheed of 5,000ditions undere existence ofin the resultsondition wasurface where

    7

    g

    s ,

    d , . ,

    g r d

    d y h 0 r f s s e

  • 228

    Fig. 11 Fron

    Fig. 12 Ma5,000 RPM, d

    Fig. 13 Ma5,830 RPM, d

    the machinishaking left of 5,830 RPare shown ingenerated, bpassed throu

    4. Conclus

    In the pre

    R

    nt panel of VD

    achined surfacdepth of cut 1.0

    achined surfacdepth of cut 1.0

    ing was incand right we

    PM spindle spn Fig. 13. He

    but a subtle tugh.

    sions

    esent study, a

    Real Time Cha

    DMS (spindle sp

    ce of workpie0 mm).

    ce of workpie0 mm).

    consistent anere generatedpeed and 1.0 ere, the chatttrace appeare

    a dynamic m

    atter Vibratio

    peed 5,830 RP

    ece (spindle s

    ece (spindle s

    nd the marksd. The conditmm depth ofter mark was

    ed where the

    machining sys

    on Control Sy

    M, depth of cu

    speed

    speed

    s of tions f cut s not tool

    stem

    hadreal

    TdeteImpspevibrexpspinvibrexpvibrperfdurmac

    Ac

    T

    Re[1]

    ystem in High

    ut 1.0 mm).

    d been develol time and avoThe developeermine cuttinpact excitatioed recommenration detecti

    periment. Chandle rotation ration freque

    periment. Furtration was noformed even ing the machining speed

    knowledgm

    This research

    ferences Jung, N. S.Vibration in 210-17.

    h Speed Millin

    oped that can oid it during ed program ng force andon test, chattendation. By uon was confiratter vibration

    speed was ency generatethermore, it wot generated a

    if the depthachining to d.

    ments

    was supporte

    2008. “AnalMilling Proc

    ng

    detect chatterthe cutting prVDMS was d conduct Fer detection,

    using this progrmed throughn was detectecalculated oed during thwas confirmeand stable mah of cut was

    modify the

    ed by Doosan

    lytical Predicticess.” KSME m

    r vibration inrocess. designed to

    FT analysis,and optimal

    gram, chatterh a machininged and stablenly with the

    he machiningd that chatterachining wasnot reduced

    e calculated

    n Infracore.

    ion of Chattermech. 33 (3):

    n

    o , l r g e e g r s d d

    r :

  • Real Time Chatter Vibration Control System in High Speed Milling

    229

    [2] Merritt, H. E. 1965. “Analytical Prediction of Stability Lobes in Milling.”Annals of CIRP 44: 357-62.

    [3] Yue, J. P. 2006. “Creating a Stability Lobe Diagram.” IJME Session IT, 301-501.

    [4] Norizanu, S. and Eiji, S. 2010. “Vibration Suppressing Method and Vibration Suppressing Device for Machinine Tool.” US 2010/0104388 A1.

    [5] Lamraoui, M. and Thomas, M. 2014. “Indicators for Monitoring Chatter in Milling Based on Instantaneous Angular Speeds.”MSSP 44: 72-85.

    [6] Sergiu, T. C. 1990. “Stability in the Dynamics of Metal Cutting.” ISBN 20: 0-444-98868-8.

    [7] Hiromitsu, M. and Toru, Y. 2012. “Tracing and Visualizing Variation of Chatter for In - Process Identification of Preferred Spindle Speeds.” Annals of CRIP 4: 11-6.

    [8] Norikazu, S., Yusuke, K., Takashi, K., Rei, H. and Eiji, S. 2012. “Identification of Transfer Function by Inverse Analysis of Self-Excited Chatter Vibration in Milling Operations.” Precision Engineering 36: 568-75.

    [9] Altintas, Y., Eynian, M. and Onozuka, H. 2008. “Identification of Dynamic Cutting Force Coefficients and Chatter Stability with Process Damping.” Annals of CIRP 57: 371-4.