Научная статья на тему 'Программирование переменной скорости вращения шпинделя при точении'

Программирование переменной скорости вращения шпинделя при точении Текст научной статьи по специальности «Электротехника, электронная техника, информационные технологии»

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Ключевые слова
МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ПРОЦЕССА ТОЧЕНИЯ / РЕГЕНЕРАТИВНЫЕ КОЛЕБАНИЯ / УПРАВЛЕНИЕ СКОРОСТЬЮ ВРАЩЕНИЯ ШПИНДЕЛЯ / MATHEMATICAL MODEL FOR THE TURNING PROCESS / REGENERATIVE OSCILLATIONS / SPINDLE SPEED CONTROL.REFERENCES

Аннотация научной статьи по электротехнике, электронной технике, информационным технологиям, автор научной работы — Petrakov Y., Danylchenko M., Petryshyn A.

Разработана математическая модель и прикладная программа для моделирования возникновения регенеративных колебаний при точении в 3D пространстве. Программа предназначена для целенаправленного поиска наилучших параметров гармонического закона изменения частоты вращения шпинделя при программировании на токарном станке с числовым программным управлением. Экспериментально проверена эффективность созданной программы

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Похожие темы научных работ по электротехнике, электронной технике, информационным технологиям , автор научной работы — Petrakov Y., Danylchenko M., Petryshyn A.

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Programming spindle speed variation in turning

A mathematical model for the turning process is developed, which considers the oscillations of technological machining system (TMS) in a 3D space, along all three coordinate axes simultaneously. The model accounts for the influence of natural feedback on the depth, feed and cutting speed; moreover, the effect of machining by chatter marks is introduced into the model by two directions depth and feed. It is established that the main factor, which determines the origin of regenerative oscillations, is the machining by chatter marks. That is why a change in the spindle speed with the help of the SSV option (Spindle Speed Variation) on the machine tool with CNC leads to a change in the trail frequency and its noncoincidence with the natural vibration frequency of TMS, which calms the system.The created applied simulation software makes it possible to conduct a purposeful search for the best parameters of harmonic law when changing the spindle speed for each particular machining case. We propose as the criterion the minimum time of oscillation damping by amplitude per one entire revolution of the billet. Thus, a procedure is developed and a tool is created for programming the variable speed of the spindle in the turning operation on the machine tool with CNC. We experimentally proved effectiveness of the proposed solution.

Текст научной работы на тему «Программирование переменной скорости вращения шпинделя при точении»

Eastern-European Journal of Enterprise Technologies ISSN 1729-3774

EMGIMEERIMG TEGHMOLOGICflL SYSTEMS

Розроблена математична модель та при-кладна програма для моделювання виник-нення регенеративних коливань при точт-т у ЗО просторi. Програма призначена для щлеспрямованого пошуку найкращих пара-метрiв гармончного закону змти частоти обертання шпинделя при програмуванн на токарному верстатi з числовим програм-ним управлтням. Експериментально пере-вiрено ефективтсть створеног програми

Ключовi слова: математична модель процесу точЫня, регенеративн коливання,

управлтня швидтстю) обертання шпинделя □-□

Разработана математическая модель и прикладная программа для моделирования возникновения регенеративных колебаний при точении в ЗО пространстве. Программа предназначена для целенаправленного поиска наилучших параметров гармонического закона изменения частоты вращения шпинделя при программировании на токарном станке с числовым программным управлением. Экспериментально проверена эффективность созданной программы

Ключевые слова: математическая модель процесса точения, регенеративные колебания, управление скоростью вращения шпинделя

UDC 621.91.01

|DOI: 10.15587/1729-4061.2017.95204]

PROGRAMMING SPINDLE SPEED VARIATION IN TURNING

Y. Petrakov

Doctor of Technical Sciences, Professor, Head of Department Department of Mechanical Engineering* E-mail: yp-86@yandex.ua M. Danylchenko Assistant

Department of the Design of Machine tools

and Machines* E-mail: rudenko_m@i.ua A. Petryshyn PhD, Assistant Department of the Applied Mechanics* E-mail: m.p3shka.a.i@gmail.com *National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» Peremogy ave., 37, Kyiv, Ukraine, 03056

1. Introduction

Any process of cutting is carried out in the elastic technological machining system (TMS) and it is quasi-stationary, which determines its tendency to fluctuate. The presence of natural feedback from the process in combination with the machining «by chatter marks» gives rise to the so-called regenerative oscillations. The existence of these oscillations exerts negative effect on the quality of cutting process and may even lead to the loss of its stability. Suppression of regenerative oscillations was traditionally carried out by two techniques: by an increase in hardness and an increase in damping of elastic system or by reduction in the regime of cutting. These methods, however, were not characterized by proper effectiveness. The first one required the use of special mechanisms and rather labor-intensive procedure for their regulation. The second one led to the reduction in the machining efficiency. New possibilities for solving this issue appeared only in the contemporary machine tools with computer numerical control (CNC), equipped with drives for stepless regulation of the spindle frequency. The availability of such regulation made it possible to add machining with the variable cutting speed to the methods for suppressing the regenerative oscillations. Such an operating mode of machine tool in the turning operation is achieved due to a

special change in the spindle speed of main motion engine. In contemporary turning machining centers with CNC, this regime is programmed by the option «Spindle Speed Variation» (SSV). Nevertheless, specific recommendations regarding the selection of parameters for such control are lacking [1]. Therefore, the task to provide for effectiveness in the application of the SSV option for suppressing the regenerative oscillations during turning is a relevant one.

2. Literature review and problem statement

The SSV control implies a change in the spindle speed according to the harmonic law. It is obvious that the amplitude of change and the period must depend on the characteristics of the cutting process and the TMS parameters. Thus, there is a need to create adequate mathematical model for the cutting process during turning.

A cutting process during turning is predominantly described by the single-mass dynamic models. In this case, they examine the motion along one coordinate only - normal to the processed surface. Thus, one of the first studies [2] on this issue present results of modeling the machining with a variable speed of the spindle by the method of approximate analytical solutions for the TMS motion equations in a rather

© Y. Petrakov, M. Danylchenko, A. Petryshyn, 2017

narrow, specially selected, range of change in the parameters of machining. Results of this study are of qualitative nature and, first of all, demonstrate the prospects for applying such a mode of machining. Article [3], based on the model for cutting process with regard to the delayed argument, proposes to employ a heuristic criterion for selecting the frequency of change in speed taking into account a minimum of power consumption for the process of cutting. Directions of further studies [4, 5] are related to determining the optimum relationships between the amplitude and frequency of SSV. However, these studies give only certain recommendations, based on the dynamic phenomena of the drive and thermal limitations of the main motion engine. Furthermore, all the papers point to complexity in the creation of universal strategy for selecting the optimum combination of the SSV amplitude and frequency.

A new direction that should be noted separately for the elimination of vibrations at cutting, which implies the suppression of TMS oscillations with the aid of closed servo systems with feedback through the vibration sensors [6, 7]. This method implies a periodic action on the cutting process in the reversed phase with disturbing oscillations. It is clear that the quality of such control depends both on the performance speed of control servo systems and on the adequacy of mathematical model for the cutting process.

Among the reasons that lead to the occurrence of self-oscillations, the three most significant are as follows: the non-linearity of dependence between the cutting force and the displacement of mechanical system [8], delay of the cutting force in comparison with the cutting depth (time constant of chip formation) [9] or the existence of connection that is caused by machining «by chatter marks» [10, 11]. An analysis of the known studies reveals that, when constructing mathematical models that describe dynamic phenomena during cutting, the complete totality of these factors is not considered. Consequently, the problem that remains vital is the construction of adequate model, which would represent the cutting process with regenerative oscillations and would make it possible to conduct the search for the most rational (or optimal) parameters in the SSV control.

3. The aim and tasks of the study

The aim of present study is to develop a mathematical model for the turning process taking into account oscillations in a 3D space, which will be applicable to determine parameters (amplitude and period) of the spindle speed variable.

To achieve the set aim, the following tasks are to be solved:

- to create a structural scheme for the turning process in a 3-D space taking into account the machining «by chatter marks» with the aid of delayed arguments;

- to create an applied program for the simulation of the cutting process with the reproduction of regenerative oscillations;

- conduct experimental studies of the turning machining with the SSV control according to the specified parameters.

4. Methods and results of examining the turning process with a variable speed of the spindle

4. 1. Mathematical model

The existence of adequate mathematical model for the cutting process will make it possible to conduct a study on

the impact of SSV parameters on the stability of this process. In this case, there occurs a possibility to select such values of the SSV parameters, which will ensure the required dynamic characteristics and subsequently to purposefully influence dynamics of the shape-forming process.

In order to compile a model, we shall use a dynamic scheme, in which elastic TMS is represented in the form of a single-mass system (reduced mass M) with three degrees of mobility along the Z, Y and X coordinates. Mass has elastic and damping links with the basis. These connections are characterized by rigidity CZ, CY and CX, as well as by viscous friction (frictional force is proportional to velocity) with the proportionality coefficients 1Z, 1Y and 1X (Fig. 1, a).

In order to construct a mathematical model, it is convenient to use a structural scheme of the process that shows all the most important feedbacks. If we accept as input magnitudes parameters of the cutting process: assigned depth Hd, feed per revolution (So)d and cutting velocity Vd, and as the output magnitudes - constituents Px, Py and Pz of the cutting force, then the cutting process can be represented by the schematic, shown in Fig. 1, b.

r Wi

EESz

EESV

CUTTING PROCESS

Py

Pz

Px

-TS S à EESx

b

Fig. 1. Model of the turning process: a — dynamic scheme; b — structural scheme; s — the Laplace operator; t — period of one spindle revolution of the machine tool

Equivalent elastic system (EES) is represented by the blocks, which reflect its reaction to the action of the cutting force components along coordinate axes. That is why the EES reaction in the form of elastic deformation is also represented along the coordinate axes by components 8Z, SY and SX, respectively.

The rate of change in the component 8X of the EESx deformation is directed along the X axis and therefore it influences actual feed (So)f, and, taking into account machining by chatter marks, this influence is represented by equation:

a

(So)f =(So) d - (1 - e-ts ).

dt

(1)

Similarly, the rate of change in the component 8Z of deformation EESz affects the actual cutting speed:

Vf = Vd -

dt

(2)

Deformation EESy exorts direct impact on the actual cutting depth Hf, and the influence of deformation EESz can be determined based on the geometric relationships for shaping a cylindrical surface [11]. Ultimately, with regard to machining «by chatter marks», we have the following relation equation:

Hf = Hd-(Sy +VR2 + 52 -r) (1 -e-),

(3)

p = c Hx

Pz = CPzHf

(v );k,

(4)

P - P y A|1 + tan2( j + r|)'

Px = Py ■ tan(j + r),

(5)

(6)

where j is the main angle in the cutter's plane, h is the chip exit angle (= 5°).

The motion of a single-mass system along each coordinate is described by three differential equations, each of the second order:

d2Sx dt2 M + _1X ddx dt

d2Sy dt2 M+ l Y dS y dt

d2Sz dt2 M dSz dt

-Y^y -

(7)

Mathematical model of the cutting process in a closed elastic TMS, compiled by dependences (1)-(7), fully matches the functional scheme in Fig. 1, b.

4. 2. Modeling of the turning process

Taking into account that the above-described mathematical model is nonlinear and, with regard to the time constant of chip formation, has seventh order, modeling can be

realized only by numerical methods on computer. For the convenience of using known numerical methods of integrating the differential nonlinear equations (for example, Runge-Kutta method of fourth order), it is necessary to represent system (7) with the help of state variables. Let us adopt the following state variables of dynamic model:

x1 = SX, x2 = s8X, x3 =SY, x4 = sSY, x5 = 8Z, x6 = s8Z,

where s=d/dt.

Then system (7) can be represented in the matrix form, which is the most acceptable for employing numerical methods:

where R = D/2 is the radius of the part.

The cutting process can be represented with the help of dependences known from the theory of cutting:

x i 0 1 0 0 0 0 X1 0 0 0

X 2 a1 a2 0 0 0 0 X2 bi 0 0

X 3 0 0 0 1 0 0 X3 0 0 0

X 4 0 0 a3 a4 0 0 X4 + 0 b2 0

X 5 0 0 0 0 0 1 X5 0 0 0

X 6 0 0 0 0 a5 a6 X6 0 0 b3

,(8)

where CPz, k are the empirical coefficients, xpz, ypz, n are the exponents.

The dynamic characteristic of the cutting process, which in the first approximation is determined by the delay of cutting force P from the change in thickness of the cut-off allowance layer [9, 11], is expressed with the help of the chip formation time constant. By using known relationship Pxy= 0.6 ■ Pz and geometric arrangement of the cutting force components [10], we obtain the following dependences for calculating components Py and Px of the cutting force:

where ai = -CX/M, a2 = -1X/M, a3 = -CY/M, a4 = -1Y/M, a5 = -CZ/M, a6=- 1Z/M, b1 = 1/M, b2 = 1/M, b3 = 1/M are the matrix coefficients.

Contemporary approach to the construction of mathematical models requires its representation in the form of software. In this case, there appears a possibility to verify (qualitative) adequacy of the created model and to obtain results of simulation in the digital form. Subsequently they can be directly used when solving practical tasks in the technology of machine building. Therefore, the mathematical model developed forms the basis of the algorithm, by which the created applied program operates.

Simulation is carried out by numerical method with a constant integration step (0.000025 s) in the function of data array by the angular coordinate of the billet's contour and by the number of its revolution. Such a structure of algorithm makes it possible to consider the impact of machining «by chatter marks». In this case, error from elastic deformations, which was formed in the billet's first revolution, is received by TMS as a change in the assigned parameters of the cutting mode in the next revolution, etc. Mathematical model is represented through the state variables of system [7], which makes it possible to carry out its integration by the Runge-Kutta method of fourth order.

Fig. 2 shows an interface of the applied software during simulation of the turning process. The initial parameters of this process are given in the appropriate windows of the interface. We simulate machining at constant speed of the spindle - 1000 r/min - line 1 in the oscillograph. TMS, after the end of transient process, in time 0.06 s, which corresponds to one revolution of the billet, registered the nondamping self-oscillations: along the Z axis - line 2, along the Y axis - line 3 and along the X axis - line 4.

In the YZ cross section (Fig. 1, a), such oscillations trigger the motion of cutter top along the ellipsis (line 5), which confirms qualitative adequacy of the developed mathematical model. In order to simulate the turning at the variable speed of the spindle, it is sufficient to select the appropriate option in the interface. In this case, window 6 provides for a possibility to assign the amplitude and period for changing the spindle frequency.

JnJx]

INITIAL DATA

Dynamic parameters of TMS

Reduced mass, kg |0.16

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Coefficient of i-

oscillation damping Rigidity, N/mm

axis Z axis Y axis X

6500

16000

14000

Main anale in the cutter[45 plane, degrees

Detail's diametr, mm

Cutting process

Spindle speed, rev/min

Depth of cutting, mm

Feed rate, mm/rev

Time constant

of the process of chip, s

1000

0,2

0,0005

p Spindle speed constant

Process

c Spindle speed variation

Trajectory of cutter top

value of division, M14 mm

-500

0,03 0,04 0,05 Time, s

lations in the range of frequencies to 1000 Hz when applying the SSV option (Fig. 5, d). In this case, we observe the corresponding reduction in roughness of the processed surface (Fig. 5, c).

Fig. 4. Working zone of machine tool ST-30 when conducting the experiment

Fig. 2. Interface of the applied software

4. 3. Experimental studies of turning at the ssV control

The applied program developed makes it possible to perform simulation of the cutting process at variable frequency of the spindle. Thus, with the aid of the created program, we conducted preliminary search for the best period of change in the spindle speed at the amplitude of 15 % from the assigned one. We considered the best period being the one when the time of oscillation damping to the magnitude of amplitude (1 |m), assigned in the program, over the time of one revolution of the billet, was minimal. Obtained results (Fig. 3) demonstrated that for the selected range of change in the cutting depth (H=0.5 mm, 0.75 mm and 1 mm), the best one is the period of 1.2 s. Such particular parameters were set on the CNC rack of the machine tool ST-30 made by HAAS (USA). The rest of the parameters, assigned in the windows of interface of the applied program (Fig. 2), also match the conditions for conducting the experiment.

0,8 0,7 M 0,6 g 0,5 ■J 0,4 ö 0,3

U 0,2

I 0,1

Q 0

-H=0,5mm

-H=0,75mm

i-H=1,0mm

Fig. 5. Results of the experiments: machining at constant frequency of the spindle (a — part, b — oscillation spectrum); machining with SSV (c — part, d — oscillation spectrum)

Applying control over the spindle speed in the turning operation makes it possible to considerably enlarge the region of steady cutting due to the suppression of regenerative oscillations, which typically lead to the loss of stability. Fig. 6 shows oscillograms of the TMS oscillations, obtained in the simulation of cutting process with depth 1.3 mm in the created applied program:

0,6 0,8 1 1,2 1,4 1,6 Period, s

Fig. 3. Chart of dependence of the time of oscillation damping on the period of change in the frequency of spindle

In the course of experiments (Fig. 4), we processed billets 1, fixed in the cartridge, of diameter 30 mm at the length of console 200 mm, by tool 2 with vibration sensor 3 installed on it. The machining was conducted both at constant frequency of the spindle (1000 rev/min) and when applying the SSV option (amplitude 15 %, period 1.2 s). Vibrations of TMS at machining were recorded on the personal computer with the aid of the applied package LabView.

Results are shown in Fig. 5. They indicate a considerable decrease in the level of oscil-

b

Fig. 6. Oscillations of TMS: a - machining at constant frequency of the spindle; b - SSV; 1 - frequency of the spindle; 2 - oscillations of TMS along the Z axis; 3 - oscillations of TMS along the Y axis; 4 - oscillations of TMS along the X axis

5

c

Oscillograms (Fig. 6) demonstrate that over the identical time (0.515 s), the system at constant frequency of the spindle is approaching the loss of stability. Let us note that, in spite of large rigidity along the X axis (Fig. 2), in this particular direction the regenerative oscillations lead to the self-excitation of the system. Switching on the SSV option with the parameters, specified earlier, leads to the elimination of regenerative oscillations and to the possibility of machining with the assigned cutting depth.

5. ssV Discussion of results of examining the ssV programming

Any control based on the a priori information, first of all, depends on the adequacy of given information. Programming of SSV on the machine tool with CNC is related to such a control. That is why a fundamental difference between the present study and those conducted earlier is in the application of the created model for the turning process by taking into account oscillations in a 3D space. The model accounts for the influence of natural feedbacks between the elastic TMS and cutting process on the change in depth, feed and cutting speed. For the first time, the effect of machining by chatter marks is introduced to the model by two directions -by depth and by feed. In this case, error from the TMS elastic deformations, which was formed in the first revolution of the billet, is perceived by TMS as a change in the assigned parameters for the cutting mode in the next revolution, etc.

Taking into account such representation of the dynamic behavior of TMS when turning «by chatter marks», the mathematical model for this process becomes substantially nonlinear (seventh order), and modeling is realized by numerical methods on computer. In order to implement the studies conducted into practice, we proposed a procedure and original applied software.

Results of simulation of the TMS oscillations by three coordinates taking into account the effect of machining «by chatter marks» revealed ambiguity in the influence of machining parameters and elastic characteristics of TMS on the development of regenerative oscillations. In a general

case, regenerative oscillations may lead to the self-excitation of the system along any coordinate. This to a certain extent explains complexity of eliminating the regenerative oscillations by traditional methods and proves the need for using 3D models to describing the process of their occurrence.

Experimental testing demonstrated effectiveness of applying the developed model for determining parameters for switching on the SSV option on the machine tool ST-30 made by HAAS (USA) in the process of turning.

In future, we plan to perform comprehensive studies for the purpose of improving adequacy of the model and developing a technique to search for the optimum parameters in the SSV programming.

6. conclusions

1. A mathematical model that we developed for the turning process considers the TMS oscillations in a 3D space, along three axes simultaneously, as well as the influence of machining «by chatter marks» with the aid of functions of delayed argument. A method for numerical solution of the compiled mathematical model is proposed, organized in the form of the algorithm with matrix representation of the model by state variables and the Runge-Kutta procedure of integration of 4th order, which is implemented in the applied software.

2. It is proposed to determine the period of change in the spindle speed via simulation by the criterion of time minimum of oscillation damping to the established magnitude of amplitude along all three coordinate axes per one revolution of the billet. We experimentally confirmed adequacy of the developed mathematical model and effectiveness of the SSV method with specified parameters - the amplitude and period of change in the spindle frequency.

3. The developed mathematical model and created applied software make it possible to conduct modeling of the turning process with a SSV control and, thus, they can serve as the tool for a technologist-programmer to determine the best parameters for the law of variation in the spindle velocity - amplitude and frequency - in each particular case.

References

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2. Pakdemirli, M. Perturbation Analysis of Spindle Speed Variation in Machine Tool Chatter [Text] / M. Pakdemirli, A.G. Ulsoy // Journal of Vibration and Control. - 1997. - Vol. 3, Issue 3. - P. 261-278. doi: 10.1177/107754639700300302

3. Al-Regib, E. Programming spindle speed variation for machine tool chatter suppression [Text] / E. Al-Regib, J. Ni, S.-H. Lee // International Journal of Machine Tools and Manufacture. - 2003. - Vol. 43, Issue 12. - P. 1229-1240. doi: 10.1016/s0890-6955(03)00126-3

4. Albertelli, P. Spindle speed variation in turning: technological effectiveness and applicability to real industrial cases [Text] / P. Albertelli, S. Musletti, M. Leonesio, G. Bianchi, M. Monno // The International Journal of Advanced Manufacturing Technology. - 2012. - Vol. 62, Issue 1-4. - P. 59-67. doi: 10.1007/s00170-011-3790-8

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7. Hashemi, O. R. Active control of chatter vibration in a turning process using an adaptive FXLMS algorithm [Text] / O. R. Hashemi, A. R. Ohadi // 14 International Congress on Sound Vibration. - Cairns, Australia, 2007. - Available at: https://www.acoustics.asn.au/ conference_proceedings/ICSV14/papers/p225.pdf

8. Logominov, V. A. Analyz podhodov po uchetu dynamiki sil rezaniy pri prognozirovanyi vibroustoichivosti mehanicheskoi obrabot-ky [Text] / V. A. Logominov, Y. N. Vnukov // Rezanie I instrument v tehnologicheskih systemah. - 2011. - Issue 79. - P. 132-153.

9. Ivanov, O. I. K voprosu modelirovania processa strugkoobrazovania pri rezanii metallov [Text] / O. I. Ivanov // Vektor nauki Toli-attinskogo gosudarstvennogo universiteta. - 2014. - Issue 3 (29). - P. 57-61.

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11. Petrakov, Y. V. Modelirovanie gashenia kolebaniy pri tokarnoy obrabotke [Text] / Y. V. Petrakov // Visnyk NTUU «KPI». Seria mashinobuduvannia. - 2016. - Issue 2 (77). - P. 119-124.

-□ □-

Метод фрактального аналiзу засто-сований для опису плошр поверхн мжро-рельефу, що формуеться торцевим фре-зеруванням при ргзних значеннях подачi. Розглядаються найб^ьш сприятли-вi умови отримання фотозображень поверхт зраз^в та аналiзуються залеж-ностi фрактальних параметрiв рельефа поверхн вгд просторових масшта-бiв його дослиджень. Отриман ктьтсш взаемозв'язки мж Хаусдорфовими роз-мiрностями для плошi поверхш мжро-рельефа пластин i подачами заготовки

Ключовi слова: фрактальний аналiз, шорсттсть поверхт, торцеве фрезе-

рування, площа поверхневого рельефа □-□

Метод фрактального анализа применен для описания площади поверхности микрорельефа, формирующегося торцевым фрезерованием при различных значениях подачи. Рассматриваются наиболее благоприятные условия получения фотоизображений поверхности образцов и анализируются зависимости фрактальных параметров рельефа поверхности от пространственных масштабов его исследований. Получены количественные взаимосвязи между Хаусдорфовыми размерностями для площади поверхности микрорельефа пластин и подачами заготовки

Ключевые слова: фрактальный анализ, шероховатость поверхности, торцевое фрезерование, площадь поверхностного рельефа -□ □-

UDC 621.91 : 621.9.015 : 539.2

|DOI: 10.15587/1729-4061.2017.96403]

SPECIAL FEATURES IN THE APPLICATION OF FRACTAL ANALYSIS FOR EXAMINING THE SURFACE MICRORELIEF FORMED AT FACE MILLING

P. Moskvi n

Doctor of Physical and Mathematical Sciences, Professor Department of physics and higher mathematics* E-mail: moskvin_pp@mail.ru N. Balytska PhD

Department of Engineering Technology* E-mail: aspbali@rambler.ru P. Melnychuk Doctor of Technical Sciences, Professor Department of Engineering Technology* E-mail: meln_pp@ukr.net V. Rudnitskyi PhD, Associate Professor Department of physics and higher mathematics* E-mail: org.rva@gmail.com V. Ky ry l ovyc h Doctor of Technical Science, Associate Professor Department of automation and computer-integrated technologies named after prof. B. B. Samotokin* E-mail: kiril_va@ yahoo.com *Zhytomyr State Technological University Cherniakhovskoho str., 103, Zhytomyr, Ukraine, 10005

1. Introduction

Providing the assigned level of roughness of the surfaces of parts at machining is an important direction of machine engineering. Surface roughness has an essential effect on the performance properties of parts. Given this, it becomes clear why significant attention is paid to studying the microrelief of the surface of samples both theoretically and practically. Among the theoretical directions in the studies of the

surface microrelief state, of special interest are the series of articles that deal with the application of sufficiently new, nontrivial mathematical methods for analysis of the surface relief state [1-7]. They include papers on the application of fractal representations to the description of the self-similar states, which are formed either naturally, for example, due to the reflection by the surface of crystallographic properties of the volume of material of the base layer [8, 9], or due to the periodic action on the surface of machnining tool [10, 11].

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