JP2002286031A - Bearing life recognizing method, bearing life recognizing index, bearing life recognizing program, recording medium recording bearing life recognizing program, transmitting medium transmitting bearing life recognizing program, and bearing life recognizing system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To understand new modified coefficient axyz as extension of the diagram of life calculation widely used up to now regarding a bearing life recognizing method recognizing a life of a rolling bearing, a bearing life recognizing index, a bearing life recognizing program, a recording medium recording the bearing life recognizing program, a transmitting medium transmitting the bearing life recognizing program, and a bearing life recognizing system. SOLUTION: Practical life is calculated from dynamic equivalent load, or dynamic equivalent load is calculated from practical life by using a bearing life assurance curve in which a vertical axis is set as a modified coefficient, a horizontal axis is set as k.Py /P, and a parameter is set as contaminated degree. The practical life of the bearing can be simply calculated from load applied to the bearing by contaminated degree of lubricating oil. Further, it is possible to simply know what level of load applied to a desired bearing is necessary, in order to obtain practical life of the desired bearing.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a bearing life recognition method, a bearing life recognition index, a bearing life recognition program, a recording medium storing the bearing life recognition program, and a bearing life recognition program for recognizing the life of a rolling bearing. The present invention relates to a transmission medium to be transmitted and a bearing life recognition system.

[0002]

2. Description of the Related Art When a rolling bearing rotates with a bearing load applied thereto, the bearing ring is subjected to repetitive stress caused by the bearing load.
Flaking due to rolling fatigue occurs in the rolling elements. The basic formula for calculating the life of a rolling bearing was derived by Lundberg and Palmgren as equation (1).

[0003]

(Equation 1) Here, S: Probability that the material can withstand one million repetitive loads N: Fatigue life τ ₀ : Maximum value of dynamic shear stress V: Amount of volume indicating the range where stress is applied Z ₀ : Maximum shear stress depth Based on equation (1), ISO 281: 196 in 1962
The bearing life was standardized as 2 (Equation (2)). In addition,
The bearing life refers to the total number of revolutions (hours) until material damage due to flaking occurs.

L ₁₀ = (C / P) ^p --- (2) where L ₁₀ : basic rated life (10 ⁶ rotations) C: basic dynamic load rating (N) P: dynamic equivalent load (N) p : Ball bearing 3, roller bearing 10/3 After that, considering the progress of improvement of bearing steel and the effect of actual use conditions on the service life, the reliability coefficient a ₁ as a correction coefficient,
ISO2 introducing the bearing characteristic coefficient a ₂ and the use condition coefficient a ₃
81: 1977 (formula (3)).

L _na = a ₁ a ₂ a ₃ L _10- (3) where L _{na is the} corrected rated life (10 ⁶ rotations). In order to cope with the improvement, an IS that introduces a coefficient b _m for correcting the basic dynamic load rating C itself represented by the equation (2) is introduced.
O281: 1990 (formula (4)), which is now widely used.

L _na = a ₁ a ₂ a ₃ (C _r / P) ^p- (4) where C _r = b _m C is currently generally used as C _r ≡C in equation (4). And a ₂ a ₃ in the equation (4) is used as a ₂₃ or a ₂ · a _{3 because} these coefficients do not influence each other but influence them collectively. . Each company has an oil film thickness parameter Λ (oil film thickness / synthetic roughness) and viscosity ratio κ (use viscosity / required viscosity) on the horizontal axis, and a diagram with a ₂₃ or a ₂ · a _{3 on the} vertical axis (FIG. 10). ) Created and widely used.

Normally, the formula for calculating the bearing life is a formula using a correction coefficient a ₂₃ obtained based on an a ₂₃ (or a ₂ · a ₃ ) -Λ (or κ) diagram as a correction coefficient. It has been widely used not only by bearing manufacturers but also by users.

However, in recent years, bearings operating under ideal lubrication conditions have a life of at least 20 times the calculated life, and have a life of at least 50 times the calculated life in a low load region. I understand. On the other hand, it has been found that the life of a bearing operating under the condition that the lubricating oil is contaminated by foreign matters or the like mixed in the lubricating oil is extremely shortened to 1/10 to 1/100 times of the calculated life. Was.

Based on such new knowledge of the bearing life, a new life calculation equation (Equation (5)) has been proposed in consideration of the stress distribution inside the bearing material.

[0010]

(Equation 2) Here, S: Probability that the material can withstand one million repeated loads N: Fatigue life τ ₀ : Maximum value of dynamic shear stress τ _u : Shear stress relative to fatigue limit V: Volume of volume showing stress applied range Z ₀ : maximum shear stress depth As described above, knowledge of bearing life has been accumulated, that is, affirmation of the existence of a fatigue limit in the rolling fatigue phenomenon, and quantitative understanding of the influence of foreign matter in oil have progressed. A plan to introduce _xyz was considered, and ISO281: 1990 / Am
d2: standardized as 2000. This correction coefficient a _xyz
The value of is to be created and used by each country and company at their own risk.

_Heretofore, regarding the correction coefficient a _xyz , a diagram has been published by some manufacturers.

For example, as shown in FIG. 11, an a _SKF diagram has been proposed. References (SKF Catalog 1990
Year version).

As shown in FIG. 12, an a _NSK diagram has been proposed. References (SAE TECHNICAL PAPER SERI
ES 2000-01-2601).

[0014]

By the way, as the a ₂₃ -κ diagram, as shown as an example in FIG. 10, one diagram has been used regardless of the bearing load applied. However, studies of the inventors, as shown in FIG. 13, a ₂₃
The -κ diagram was found to change with load. In particular, it has been found that this tendency increases as the bearing load decreases, that is, approaches the fatigue limit load. It should be noted that the reason why a single diagram has been used so far is that it is based on an evaluation result in a region where the bearing load is large.

As described above, since the a ₂₃ -κ diagram changes depending on the load, when the influence on the bearing life under the condition that foreign matter is mixed in the lubricating oil, which is a new knowledge of the recent bearing load, is shown, the load, A parameter indicating the degree of contamination (contamination degree) of foreign matter is required, and if expressed as it is using a conventional a ₂₃ -κ diagram, a complicated diagram is obtained. For this reason, the a _xyz diagrams (FIGS. 11 and 12) proposed so far have been forced to use completely new variables on the horizontal axis instead of extending the conventional diagrams. For this reason, there is a problem that it is difficult to grasp how the diagram shown in FIG. 10 which has been conventionally used is changed, and that the usability is poor.

According to the present invention, a bearing life recognition method, a bearing life recognition index, and a bearing life recognition which can understand a new correction coefficient a _xyz by extension of a life calculation diagram which has been widely used in the past, and are excellent in usability for a user. It is an object to provide a recording medium storing a program and a bearing life recognition program, a transmission medium for transmitting the bearing life recognition program, and a bearing life recognition system.

[0017]

In the bearing life recognition method according to the first aspect of the present invention, a vertical axis represents a correction coefficient (actual life / calculated life), and a horizontal axis represents κ · P _u / P (where κ: used). The actual life is obtained from the dynamic equivalent load using a bearing life guarantee curve in which the viscosity / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load) and parameters are pollution degrees.

With this configuration, it is possible to easily know the actual life of the bearing from the load applied to the bearing for each degree of contamination of the lubricating oil. In addition, the bearing life guarantee curve is a curve very similar to the life calculation diagram that has been widely used in the past, and the user can understand new correction factors by extending the conventional life calculation diagram, and is excellent in usability for users. Becomes

According to a second aspect of the present invention, there is provided a bearing life recognizing method.
The vertical axis is the correction factor (actual life / calculated life), and the horizontal axis is κ · P _u
/ P (where κ: viscosity used / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load), and the dynamic equivalent load is calculated from the actual life using the bearing life guarantee curve with the degree of contamination as a parameter. is there.

With this configuration, it is possible to easily know how much load should be applied to the bearing in order to obtain a desired actual life of the bearing for each degree of contamination of the lubricating oil. In addition, the bearing life guarantee curve is a curve very similar to the life calculation diagram that has been widely used in the past, and the user can understand new correction factors by extending the conventional life calculation diagram, and is excellent in usability for users. Becomes

The bearing life recognition index according to claim 3 of the present invention is:
The vertical axis is the correction factor (actual life / calculated life), and the horizontal axis is κ · P _u
/ P (where κ: working viscosity / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load), and a bearing life guarantee curve in which parameters are contamination levels are displayed.

[0022] Thus it was constructed to calculate the value of κ · P _u / P on the horizontal axis from the load applied to the bearing, the kappa · P _u
By reading the value of the correction coefficient on the vertical axis corresponding to the intersection between the / P value and the bearing life guarantee curve,
The actual life of the bearing can be easily known. In addition, the value of the correction coefficient is calculated on the vertical axis from the actual life of the desired bearing,
By reading the value of κ · P _u / P on the horizontal axis corresponding to the intersection between the value of the correction coefficient and the bearing life guarantee curve, it is sufficient how much the load applied to the bearing depends on the degree of contamination of the lubricating oil. Can be easily known. In addition, the bearing life guarantee curve is a curve very similar to the life calculation diagram that has been widely used in the past, and the user can understand new correction factors by extending the conventional life calculation diagram, and is excellent in usability for users. Becomes

The bearing life recognition index of claim 4 of the present invention is:
A plurality of bearing life guarantee curves are displayed for each degree of contamination.

[0024] With this configuration, the bearing life guarantee curves for each contamination degree can be simultaneously viewed, resulting in excellent usability.

In the bearing life recognition program according to a fifth aspect of the present invention, the vertical axis represents a correction coefficient (actual life / calculated life), and the horizontal axis represents κ.
・_Pu / P (where κ: working viscosity / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load), and input dynamic equivalent load data using bearing life guarantee curve data with the degree of contamination as a parameter. Input means, a calculating means for calculating the actual life based on the inputted dynamic equivalent load data, and an output means for outputting a calculation result by the calculating means.

With this configuration, by inputting the load data applied to the bearing from the input means, the actual life of the bearing is calculated by the calculating means and output from the output means. The actual life of the bearing can be easily known.

In the bearing life recognition program according to claim 6 of the present invention, the vertical axis represents the correction coefficient (actual life / calculated life), and the horizontal axis represents κ.
・_Pu / P (where κ: working viscosity / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load), and input actual life data using bearing life guarantee curve data with parameters as pollution degree. Input means, calculating means for calculating a dynamic equivalent load based on the input actual life data, and output means for outputting a calculation result by the calculating means.

With this configuration, by inputting the actual life data of the desired bearing from the input means, the load applied to the bearing is calculated by the calculation means and output from the output means, and the degree of contamination of the lubricating oil is calculated. Separately, it is possible to easily know how much load should be applied to the bearing.

According to a seventh aspect of the present invention, there is provided a computer-readable recording medium on which the bearing life recognition program according to the fifth or sixth aspect is recorded.

With this configuration, the bearing life recognition program can be recorded on a recording medium and easily distributed to users.

The transmission medium according to claim 8 of the present invention is the transmission medium according to claim 5.
Alternatively, a bearing life recognition program according to claim 6 is transmitted.

With this configuration, the bearing life recognition program can be easily distributed to users via a communication network such as the Internet. In addition, when the bearing life recognition program is modified, it can be easily dealt with by rewriting data in a server or the like that manages the program.

In the bearing life recognition system according to the ninth aspect of the present invention, the vertical axis represents the correction coefficient (actual life / calculated life), and the horizontal axis represents κ ·
P _u / P (where κ: viscosity used / necessary viscosity, P _u : fatigue limit load, P: dynamic equivalent load), a storage device that stores bearing life guarantee curve data with parameters as contamination degree, and dynamic equivalent load An input device for inputting data, a calculation device for calculating the actual life based on the input dynamic equivalent load data, and an output device for outputting a calculation result by the calculation device.

With this configuration, by inputting the load data applied to the bearing from the input device, the actual life of the bearing is calculated by the arithmetic device and output from the output device. The actual life of the bearing can be easily known.

In the bearing life recognition system according to the tenth aspect of the present invention, the vertical axis represents a correction coefficient (actual life / calculated life), and the horizontal axis represents κ.
・ P _u / P (where κ: working viscosity / required viscosity, P _u : fatigue limit load, P: dynamic equivalent load), a storage device storing bearing life guarantee curve data with parameters as contamination degree, and actual life An input device for inputting data, a calculation device for calculating a dynamic equivalent load based on the input actual life data, and an output device for outputting a calculation result by the calculation device.

With this configuration, by inputting the desired actual life data of the bearing from the input device, the load applied to the bearing is calculated by the calculation device and output from the output device. Separately, it is possible to easily know how much load should be applied to the bearing.

[0037]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described.
This will be described with reference to FIGS.

According to the inventor's earnest research, the a ₂₃ -κ diagram that changes with the load shown in FIG. 13 shows a single relationship by using the variable of κ / P on the horizontal axis as shown in FIG. I found that they can be put together in a line.

Using this knowledge, if the horizontal axis is κ / P, the vertical axis is a _xyz (actual life / calculated life), and the pollution degree a _c is used as a parameter, the effect of the load on the bearing life and the contamination degree The effects can be represented in a single diagram.

In order to introduce such a new idea into the new life calculation formula shown in Expression (5), the ratio between Expressions (1) and (5) is obtained.

That is, Expression (5) (actual life) / Expression (1)
(Calculated life)

[0042]

(Equation 3) And transforming equation (6),

[0043]

(Equation 4) Becomes

Here, the shear stress τ at the ball bearing and the load P
By rewriting equation (7) using τ∝P ^1/3 ,

[0045]

(Equation 5) Becomes

Based on equation (8), the parameter κ · (P _u
/ P)

[0047]

(Equation 6)Get. Where κ: Kinematic viscosity at operating temperature / Kinematic viscosity required for bearing P_u: Fatigue limit load α, β: Constants obtained by experiments Note that the life ratio in equation (9) is a total value derived from equation (1).
It is the ratio between the calculated life and the actual life derived from equation (5),
In effect, the ratio a between the calculated life and the actual life in equation (2) is a _xyzPhase
Hit.

[0048] Further, the fatigue limit load P _u, the operation of the following the load bearing refers to a load limit which does not damage. Next, a description for the determination of the fatigue limit load P _u.

FIG. 3 shows a water pump as a rolling bearing.
A life test was conducted using bearings to determine the contact surface pressure and rolling life.
It shows the relationship with. Contact surface pressure 1700MPa
Then, the total number of rotations is 10⁹Cycle (number of stress repetitions: 10^Ten
Cycle), the life due to peeling has not been reached. Ma
Ta, KOYO ENGINEERING JOURNAL No138 (1990) p3
2 "Study on impact torsional fatigue of steel materials"
Torsional fatigue of quenched and tempered high carbon chromium bearing steel
The labor intensity is 10 repetitions^Ten5 cycles of shear stress
It is estimated to be 00 MPa. This shear stress is in Hertz
When converted to the contact surface pressure in contact, it is 1500 MPa.
In practice, the fatigue limit is 10 with the number of stress cycles. ^TenCycle
Considering the stress value that can withstand fatigue, the above rolling life test
Surface pressure corresponding to fatigue limit at 1500 MPa is appropriate
You. Fatigue limit load P for this surface pressure _uIs the elastic contact theory
Required from.

Based on equation (9), the vertical axis represents the correction coefficient a
_xyz (actual life / calculated life), κ · _Pu / P (where κ: working viscosity / required viscosity, _Pu : fatigue limit load, P: dynamic equivalent load) is plotted on the horizontal axis, and the parameter is pollution degree a. FIG. 1 is a graph showing a bearing life guarantee curve as _c .

[0051] Here, with reference to Table 1, illustrating the definition of contamination degree a _c.

[0052]

[Table 1] Pollution degree a _c is "1" is very clean, as the value decreases, it indicates that the contamination is in progress.

[0053] Criteria ISO code represents the ISO code corresponding to each degree of contamination a _c. That is, 1 ml
(1cc) contains 5 micron or more particles and 1
It shows an ISO cleanliness code (ISO4406) in which the number of particles of 5 microns or more is indicated by a range number separately defined.

The maximum particle size indicates the maximum value of the particle size of the contaminant.

[0055] application example, the contamination degree a _c represents the what corresponds to use in a specific any location.

[0056] Table 2 represents the results of bearing life tests for obtaining 1, the bearing life assurance curves for each degree of contamination a _c.

[0057]

[Table 2] First, a test method of the bearing life test will be described. In the test, a deep groove ball bearing 6206 was used. As shown in FIG. 4, the tester has a structure in which a radial load is evenly applied to four bearings. In FIG. 4, reference numeral 40 denotes a sample bearing, 41 denotes a load coil spring, 42 denotes a drive pulley, and 43 denotes a vibrometer pickup. In the test, the two inner bearings are used as test bearings, and the two outer bearings are used as support bearings.
A bearing with a seal is used for the support bearing to prevent foreign matter from entering.

In the tester, a predetermined degree of contamination is set.
A lubricating oil and foreign substances were charged, and a life test was performed while stirring the lubricating oil with compressed air. In each test No, a test was performed using at least 10 bearings. Further, the number of rotations in the test was adjusted so as to have a predetermined κ (viscosity ratio) in the preliminary test.

A bearing life guarantee curve is created based on the test results of the bearing life test thus obtained. That is, the vertical axis the calculated life ratios in Table 2, taking the κ · P _u / P on the horizontal axis, and plotted on a graph, by connecting the point that the plot, each contamination degree a _c shown in FIG. 1 The bearing life guarantee curve is obtained.

In FIG. 1, the smaller the value of the horizontal axis κ · P _u / P (leftward in the figure), the more severe the condition of heavy load and low viscosity is, and conversely, the larger the value is (right side of the figure). Direction)
Light load, high viscosity and loose conditions.

Although FIG. 1 shows a bearing life guarantee curve of a deep groove ball bearing, a bearing life guarantee curve is prepared for each type of bearing.

Referring to FIGS. 5 and 6 and Table 3, a bearing life guarantee curve of a roller bearing as another example of the bearing will be described.

[0063] Figure 5 shows a graph of bearing life assurance curve of tapered roller bearings of each contamination degree a _c, the degree of contamination a _c
Is the same as that shown in Table 1.

[0064] Table 3 shows the results of bearing life tests for 5, to obtain the bearing life assurance curves for each degree of contamination a _c.

[0065]

[Table 3] First, a test method of the bearing life test will be described. For the test, tapered roller bearings were used. As shown in FIG. 6, the test machine has a structure in which an axial load is equally applied to two bearings. In FIG. 6, 50 is a test bearing,
51 is a drive pulley, 52 is a sleeve, 53 is a lever, 5
4 is a leaf spring and 55 is a vibrometer pickup. In the test, the test bearing 5 was tightened by screwing the leaf spring 54.
An axial load is applied to zero.

In the tester, a predetermined contamination degree is set.
Lubricating oil and foreign substances were charged, and a life test was performed. Each test N
At o, the test was performed using a minimum of 10 bearings. Also,
The number of rotations in the test was adjusted to a predetermined κ (viscosity ratio) in the preliminary test.

Based on the test results of the bearing life test thus obtained, a bearing life guarantee curve of the roller bearing of FIG. 5 is created.

Next, a method of using the bearing life guarantee curve will be described with reference to FIG.

Here, a case where the bearing life guarantee curve is used as a recognition index drawn on graph paper or the like will be described.

First, a method for obtaining the actual life of the bearing from the load applied to the bearing, that is, the dynamic equivalent load, will be described.

First, from the dynamic equivalent load P, κ · P _u /
Calculate the value of P. The viscosity ratio κ depends on the type of lubricant, temperature,
It is predetermined by the number of revolutions, also the fatigue limit load P _u is to use a 1500 MPa, and calculates the value of κ · P _u / P.

Next, read the value of the calculated κ · P _u / P, the value of the correction coefficient a _xyz on the vertical axis corresponding to the intersection of the bearing life assurance curve to contamination of a _c in conditions used. Correction coefficient a _xyz = actual life / calculated life, and the actual life is calculated by calculating the calculated life from equation (2). In this way, the actual life of the bearing can be easily known according to the degree of contamination of the lubricating oil.

Next, in order to obtain a desired actual life of the bearing,
A method for determining the load applied to the bearing, that is, the dynamic equivalent load, will be described.

First, the actual life of the desired bearing is calculated using the following equation (2).
The value of the correction coefficient a _{xyz on} the vertical axis is calculated from the calculated life thus obtained. Next, the value of κ · P _u / P on the horizontal axis corresponding to the intersection of the value of the correction coefficient a _xyz and the bearing life guarantee curve with respect to the contamination degree a _{c under the} used condition is read. Since the value of the viscosity ratio κ and the fatigue limit load P _u is predetermined, obtained by calculating the dynamic equivalent load P. In this way, it is possible to easily know how much the dynamic equivalent load should be for each degree of contamination of the lubricating oil.

Next, the bearing life recognition program will be described with reference to FIG.

The bearing life recognition program includes a life calculation program serving as calculation means, an input control program serving as input means for displaying a menu for allowing the user to select an item and a field for inputting data and allowing the user to input various information. And a bearing life assurance curve data obtained by formulating each bearing life assurance curve for each type of bearing and pollution degree. Have.

First, when the bearing life recognition program is executed, a screen for selecting a corresponding bearing from a plurality of types of bearings is displayed on the display. The user selects a corresponding bearing (step 11).

Next, a plurality of contamination degree a _c, is prompted to select the degree of contamination a _c in the conditions used, the user selects the appropriate degree of contamination a _c (step 12).

Type of bearing and degree of contamination a under operating conditions a
_{Since c} is determined, the computer selects the corresponding bearing life guarantee curve data, that is, the formula of the corresponding bearing life guarantee curve. The selected bearing life guarantee curve data may be displayed on a display as, for example, a graph as shown in FIG.

Next, a screen is displayed for selecting whether to determine the actual life from the dynamic equivalent load or how much load to be applied to the bearing to obtain the desired actual life of the bearing. , The user selects one of them (step 13).

When "Determine actual life from dynamic equivalent load" is selected, a screen for inputting a dynamic equivalent load is displayed, and the user inputs a dynamic equivalent load (step 14).

The computer calculates κ · P _u / P from the input dynamic equivalent load and substitutes it into the equation of the bearing life guarantee curve to calculate the value of the correction coefficient a _xyz . Further, from the value of the correction coefficient a _{x yz} and the calculated life calculated from the equation (2),
The actual life is calculated (step 15).

The actual life value calculated in step 15 is displayed on the display (step 16).

[0110] If "Determine how much load should be applied to the bearing to obtain the desired actual life of the bearing" is selected in step 13, a screen for inputting the actual life is displayed. Then, the user inputs the actual life (step 17).

The computer calculates the value of the correction coefficient a _xyz from the input actual life and the calculated life calculated by the equation (2). The value of the calculated correction coefficient a _xyz is substituted into the equation of the bearing life guarantee curve to calculate κ · P _u / P to calculate the dynamic equivalent load (step 18).

The value of the dynamic equivalent load calculated in step 18 is displayed on the display (step 19).

The bearing life recognition program is recorded on a computer-readable recording medium such as a hard disk, a semiconductor memory, a CD-ROM, and a DVD, and is distributed to users.

Next, a case where the bearing life recognition program is transmitted using a transmission medium will be described with reference to FIG. The transmission medium includes a computer network system such as the Internet, a LAN, and a wireless communication network for propagating and supplying program information as a carrier wave, and a communication medium such as an optical fiber and a wireless line.

That is, via the Internet 20,
A server 21 for managing a bearing life recognition program is connected to terminals 22 to 25 such as a personal computer, a PDA, and a mobile phone.

The user connects to the server 21 by using the terminals 22 to 25, downloads and uses the bearing life recognition program, or transmits dynamic equivalent load data and actual life data to the server 21, The service life calculation may be performed at 21, and the result may be received at the terminals 22 to 25.

Next, a bearing life recognition system will be described with reference to FIG.

The bearing life recognition system is, for example, a hand-held computer, and has an arithmetic unit (CPU) 31,
It comprises a storage device 32, an input / output controller 33, an input device 34, an output device (display) 35, and the like.

The storage device 32 stores a bearing life recognition program 36, bearing life guarantee curve data 37 obtained by formulating a bearing life guarantee curve, and the like.

The input device 34 is a mouse, a keyboard, or the like, and inputs data such as a dynamic equivalent load and an actual life. The input data is sent to the arithmetic unit 31 via the input / output control unit 33.

The output device 35 is a liquid crystal display, a printer, or the like. The result calculated by the arithmetic unit 31 is output via the input / output control unit 33.

The arithmetic unit 31 executes the bearing life recognition program 36, calculates the bearing life using the bearing life guarantee curve data 37 based on the data input from the input unit 34, and outputs the calculation result to the output unit 35. Output more.

The configuration of the bearing life recognizing program and the system of the bearing life recognizing system in the above embodiment are merely examples, and the present invention is not particularly limited to the configuration of the above embodiment.

[0098]

According to the present invention, there are provided a bearing life recognition method, a bearing life recognition index, a bearing life recognition program, a recording medium storing the bearing life recognition program, a transmission medium for transmitting the bearing life recognition program, and a bearing life recognition system according to the present invention. For example, depending on the degree of contamination of the lubricating oil, the actual life of the bearing can be easily known from the load applied to the bearing, and in order to obtain the desired actual life of the bearing, what is the load applied to the bearing? In addition to easily knowing whether or not it is good, it is possible to understand a new correction coefficient by extending the life calculation diagram which has been widely used in the past, and it is possible to obtain an effect that the user becomes excellent in usability.

[Brief description of the drawings]

FIG. 1 is a graph of a bearing life guarantee curve of a deep groove ball bearing according to an embodiment of the present invention.

FIG. 2 is an a ₂₃ -κ / P diagram according to one embodiment of the present invention.

FIG. 3 is a graph showing a relationship between a contact surface pressure and a rolling life in a life test of the present invention.

FIG. 4 is a configuration diagram of a bearing durability tester for a deep groove ball bearing.

FIG. 5 is a graph of a bearing life guarantee curve of a roller bearing according to an embodiment of the present invention.

FIG. 6 is a configuration diagram of a bearing durability tester for a roller bearing.

FIG. 7 is a flowchart showing a flow of execution of a bearing life recognition program in one embodiment of the present invention.

FIG. 8 is a configuration diagram showing a state of transmission of a bearing life recognition program in one embodiment of the present invention.

FIG. 9 is a configuration diagram of a bearing life recognition system according to an embodiment of the present invention.

FIG. 10: Conventional a ₂₃ -κ diagram

FIG. 11 is an a _SKF diagram which is an example of a correction coefficient a _xyz

FIG. 12 is an a _NSK diagram which is an example of a correction coefficient a _xyz

FIG. 13 is an a ₂₃ -κ diagram that varies with load.

[Explanation of symbols]

 Reference Signs List 20 Internet 21 Server 22-25 Terminal 31 Computing device (CPU) 32 Storage device 33 Input / output controller 34 Input device 35 Output device (display)

 ──────────────────────────────────────────────────続 き Continued on front page (54) [Title of Invention] Bearing life recognition method, bearing life recognition index, bearing life recognition program, recording medium recording bearing life recognition program, and transmission medium transmitting bearing life recognition program, And bearing life recognition system

Claims (10)

[Claims] 1. A vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis is κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), a bearing life recognition method for obtaining the actual life from the dynamic equivalent load using a bearing life guarantee curve with the pollution degree as a parameter. 2. The vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis is κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), a bearing life recognition method for obtaining a dynamic equivalent load from an actual life using a bearing life guarantee curve with the degree of contamination as a parameter. 3. A vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis is κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), a bearing life recognition index displaying a bearing life guarantee curve with the degree of contamination as a parameter. 4. The bearing life recognition index according to claim 3, wherein a plurality of bearing life guarantee curves are displayed for each degree of contamination. 5. The vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis is κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), input means for inputting dynamic equivalent load data using bearing life guarantee curve data with parameters as contamination degree, and actual life based on the input dynamic equivalent load data A bearing life recognition program, comprising: a calculating means for calculating the calculation result; and an output means for outputting a calculation result by the calculating means. 6. The vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis represents κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), input means for inputting actual life data using bearing life guarantee curve data with parameters as pollution degree, and dynamic equivalent load based on the input actual life data A bearing life recognition program comprising: a calculating means for calculating; and an output means for outputting a calculation result by the calculating means. 7. A computer-readable recording medium on which the bearing life recognition program according to claim 5 is recorded. 8. A transmission medium for transmitting the bearing life recognition program according to claim 5. 9. A vertical axis represents a correction coefficient (actual life / calculated life),
The horizontal axis is κ · P _u / P (where κ: used viscosity / required viscosity,
(P _u : fatigue limit load, P: dynamic equivalent load), a storage device storing bearing life guarantee curve data with parameters as pollution degree, an input device for inputting dynamic equivalent load data, and the input dynamic equivalent load data A bearing life recognition system, comprising: a calculation device that calculates the actual life based on the calculation result; and an output device that outputs a calculation result by the calculation device. 10. A vertical axis represents a correction coefficient (actual life / calculated life), and a horizontal axis represents κ · P _u / P (where κ: working viscosity / required viscosity, _Pu : fatigue limit load, P: dynamic equivalent load). ), A storage device for storing bearing life guarantee curve data in which a parameter is a pollution degree, an input device for inputting actual life data, an arithmetic device for calculating a dynamic equivalent load based on the input actual life data, A bearing life recognition system comprising: an output device that outputs a calculation result by the device.