JP2019060711A - Life prediction method for conveyer belt - Google Patents

Abstract

To provide a life prediction method of a conveyer belt capable of more accurately and easily predicting a life caused by the abrasion of an upper cover rubber.SOLUTION: The life prediction method includes: creating an abrasion pattern database related to an abrasion pattern generated in a test sample of each rubber in each abrasion test method; creating an abrasion speed correlation database of reference abrasion speed characteristics obtained by using each rubber in a reference conveyer line and abrasion speed characteristics of each test sample; specifying an abrasion test method in which the abrasion pattern which is the most approximate to an evaluation abrasion pattern generated in an upper cover rubber by using a conveyer belt to be evaluated in an object conveyer line in a predetermined period from an abrasion pattern database; adjusting the abrasion speed correlation database about the specified test method in accordance with severity of the object conveyer line; and grasping the abrasion speed characteristics of the upper cover rubber of the conveyer belt in the conveyer line.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a method of predicting the life of a conveyor belt, and more particularly, to a method of predicting the life of a conveyor belt that can easily predict the life caused by the wear of the upper cover rubber with higher accuracy.

  Various things including mineral resources such as iron ore and limestone are transported by a conveyor belt. When an object is conveyed by the conveyor belt, the conveyed object is thrown into the upper cover rubber of the conveyor belt from a hopper or another conveyor belt. The input conveyed article is loaded on the upper cover rubber and conveyed in the traveling direction of the conveyor belt. When the conveyed product is loaded on the upper cover rubber and conveyed, the conveyed product slides on the upper cover rubber and the upper cover rubber is abraded. The amount of wear and wear mode generated on the upper cover rubber by the input conveyance changes greatly depending on the use conditions of the conveyor belt.

  As a test method for evaluating the wear resistance of rubber, Williams wear test, Akron wear test, Lambourn wear test, Pico wear test, DIN wear test, Taber wear test, etc. are known. Moreover, the method of evaluating the abrasion resistance based on the test result obtained by selecting the most suitable test method which approximates the use condition of the conveyor belt from these known wear test methods is also available. It is proposed (refer patent document 1).

  In the method proposed in Patent Document 1, an optimum test method is selected focusing on the contact pressure and the relative moving speed of the pressing body with respect to the test sample in each known abrasion test method. The surface pressure and the relative movement speed of the conveyed product relative to the conveyor belt have a great influence on the wear of the cover rubber. Therefore, this evaluation method is useful for predicting the life caused by the wear of the cover rubber of the conveyor belt. However, since various factors are intricately related to the wear mode of the cover rubber, further improvement and devising are necessary to predict the life of the conveyor bell more accurately and easily.

JP 2017-49055 A

  An object of the present invention is to provide a conveyor belt life prediction method capable of predicting the life attributed to the wear of the upper cover rubber more accurately and easily.

  In order to achieve the above object, according to the conveyor belt life prediction method of the present invention, a plurality of rubber test samples are subjected to a wear test under predetermined test conditions by a plurality of wear test methods, and A wear pattern database showing the relationship between the wear pattern, the type of the rubber, the type of the wear test method, and the test conditions is created by grasping the wear rate characteristics and the wear pattern, and the plurality of types of rubber are selected. The conveyor belt used as the cover rubber is used on a reference conveyor line set to a predetermined use condition, and the wear rate characteristic of the upper cover rubber is acquired as the reference wear rate characteristic, and for each type of the abrasion test method A wear rate correlation database showing the correlation between the wear rate characteristics of each of the test samples and the reference wear rate characteristics is created and evaluated. A wear pattern generated on the upper cover rubber of the evaluation target conveyor belt is acquired as an evaluation wear pattern using the target conveyor belt for a predetermined period of time on the target conveyor line, and the evaluation target conveyor belt in the wear pattern database This test is selected from among the plurality of types of abrasion test methods by selecting a test sample in which a wear pattern most similar to the evaluation wear pattern is generated among the above-mentioned test samples of the same kind of rubber as the upper cover rubber. Identify the wear test method for which the wear test of the test sample was performed, and indicate the severity of the conveyor line relative to the reference conveyor line based on the comparison of the usage conditions of the reference conveyor line and the conveyor line of the object Calculate adjustment factor, same kind as upper cover rubber of conveyor belt to be evaluated The wear rate characteristics of the upper cover rubber of the conveyor belt to be evaluated at the conveyor line of interest are determined based on the data of the wear rate correlation data for the identified wear test method for rubber and the adjustment factor. The life of the conveyor belt to be evaluated at the conveyor line to be evaluated is predicted based on the calculated and calculated wear rate characteristics and the thickness of the upper cover rubber of the conveyor belt to be evaluated.

  According to the present invention, when a conveyor belt to be evaluated is used on a target conveyor line for a predetermined period, a test sample in which a wear pattern most similar to the evaluation wear pattern generated on the upper cover rubber is generated beforehand In the wear pattern database, if it is selected from test samples of the same type of rubber as the upper cover rubber, it is possible to specify the wear test method in which the selected test sample was subjected to the wear test. By using the wear pattern in this manner, the conveyor belt to be evaluated can be easily specified the wear test method closest to the case where it is used on the target conveyor line. And, with regard to the same kind of rubber as the upper cover rubber of the conveyor belt to be evaluated, the wear rate correlation database of the wear rate characteristics of the specified wear test method and the reference wear rate characteristics when used in the reference conveyor line It has been created. Therefore, the wear rate characteristic of the upper cover rubber of the conveyor belt to be evaluated in the target conveyor line is accurately calculated based on the adjustment coefficient indicating the severity of the target conveyor line with respect to the reference conveyor line and the wear rate correlation database. it can. Therefore, based on the calculated wear rate characteristics and the thickness of the upper cover rubber of the evaluation target conveyor belt, the life of the evaluation target conveyor belt on the target conveyor line can be easily predicted with high accuracy It will be possible.

It is explanatory drawing which simplifies and illustrates a conveyor belt line. It is AA sectional drawing of FIG. It is explanatory drawing which illustrates the frictional force which a conveyor belt receives. It is explanatory drawing which illustrates an abrasion test apparatus and the arithmetic unit to which data are input. It is explanatory drawing which illustrates a wear pattern by planar view. It is explanatory drawing which illustrates the structure of a wear pattern database. It is a graph which illustrates correlation with a reference wear rate and the amount of wear in a rubber test method. It is a graph which illustrates the correlation which adjusted the correlation of FIG. 7 based on the use condition in the actual conveyor line. It is a graph which illustrates the time-dependent change of the residual thickness of upper cover rubber.

  Hereinafter, the method for predicting the life of a conveyor belt according to the present invention will be described based on the embodiments shown in the drawings.

  In the conveyor belt line illustrated in FIG. 1, the conveyed object C conveyed by another conveyor belt 7 is introduced into the conveyor belt 1 and conveyed by the conveyor belt 1 to the conveyance destination. The conveyed product C may be input to the conveyor belt 1 through a hopper or the like. The conveyor belt 1 is stretched between the pulleys 5a and 5b and stretched with a predetermined tension.

  As illustrated in FIG. 2, the conveyor belt 1 is composed of a core layer 2 composed of a core such as canvas or steel cord, an upper cover rubber 3 and a lower cover rubber 4 sandwiching the core layer 2. There is. The core layer 2 is a member that bears a tension for stretching the conveyor belt 1. The lower cover rubber 4 is supported by the support roller 6 on the carrier side of the conveyor belt 1, and the upper cover rubber 3 is supported by the support roller 6 on the return side. On the carrier side of the conveyor belt 1, three support rollers 6 are arranged in the belt width direction, and the conveyor belt 1 is concavely supported at a predetermined trough angle a by these support rollers 6. By driving the pulley 5a on the drive side to rotate, the conveyor belt 1 operates in one direction at a predetermined traveling speed V1. The conveyed product S is put on the upper cover rubber 3, stacked on the upper cover rubber 3 and conveyed.

  In this conveyor belt line, as illustrated in FIG. 3, the conveyor belt 1 and another conveyor belt 7 are arranged at a vertical difference h (a difference h in the height position of the respective conveying surfaces). On the other conveyor belt 7, the conveyed object C is conveyed at the horizontal velocity V0 (V0 <V1). At the moment when the conveyed object C is loaded onto the conveyor belt 1 from another conveyor belt 7, the conveyed object C remains at the horizontal velocity V0, but is conveyed by the conveyor belt 1 so that the horizontal velocity is the conveyor V1 is the same as the traveling speed of the belt 1.

  That is, the conveyed product C in contact with the upper cover rubber 3 presses the upper cover rubber 3 with a predetermined surface pressure P, and at the relative moving velocity V (= V1-V0) with respect to the conveyor belt 1 in the traveling direction. Moving. A friction force f acts on the upper cover rubber 3 and the upper cover rubber 3 is worn mainly by this behavior of the conveyed product C.

  The predetermined surface pressure by the conveyed product C pressing the upper cover rubber 3 is a pressing force (the weight of the conveyed product C and the pressure by which the conveyed product C presses the upper cover rubber 3 with respect to the contact area between the conveyed product C and the upper cover rubber 3). It can be considered). That is, surface pressure = (weight of conveyed product C / contact area). The amount of wear of the upper cover rubber 3 is largely affected by the surface pressure.

  As illustrated in FIG. 4, the rubber wear test device 8 generally includes a pressing body 9, a pressing mechanism 10 for pressing the pressing body 9 against the test sample S of the conveyor belt, a pressing body 9 and a test sample S And a relative movement mechanism 11 for moving the relative movement. The test method using this test apparatus 8 causes the test sample S to be worn by causing relative movement while pressing the pressing body 9 against the test sample S, so the wear rate characteristics (wear amount) of the test sample S and the test The wear pattern generated on the surface of the sample S can be grasped. And the specification of the press body 9, the press mechanism 10, and the relative moving mechanism 11 differs in the well-known abrasion test method mentioned above, respectively.

  Therefore, in the present invention, a plurality of types of abrasion test methods (A abrasion test method, B abrasion test method) are applied to test samples S of a plurality of types of rubber or different types of polymers and compounding agents or their blending ratios. C. Abrasion test is conducted under predetermined test conditions according to the C abrasion test method, ...) to grasp the wear rate characteristics and the wear pattern Ps of each test sample S. As a plurality of types of abrasion test methods, as described above, known test methods such as Williams abrasion test, Akron abrasion test, Lambone abrasion test, Pico abrasion test, DIN abrasion test, Taber abrasion test and the like are used.

  The predetermined test conditions are, for example, the test conditions standardized in each wear test method. In addition, for example, the wear test may be performed under a test condition in which at least one of the relative moving speed of the pressing body 9 with respect to the test sample S, the surface pressure and the test temperature is varied to multiple levels. it can.

  The wear rate characteristic is an index indicating a wear rate, and can be exemplified by a wear rate (wear amount in a predetermined time).

  The wear pattern P is a pattern generated on the surface of the rubber to be worn, and a typical wear pattern P is illustrated in FIG. In FIG. 5, the L arrow indicates the traveling direction of the conveyor belt 1, and the Y arrow indicates the width direction of the conveyor belt 1. In the wear pattern P illustrated in FIG. 5A, a large number of wear streaks p1 extending along the traveling direction are arranged in the width direction. The portion other than the wear streaks p1 becomes a convex portion p2. In the wear pattern P illustrated in FIG. 5B, a large number of wear streaks p1 extending along the width direction W are aligned in the traveling direction L. The portion other than the wear streaks p1 becomes a convex portion p2. In the wear pattern P illustrated in FIG. 5C, a large number of block-shaped convex portions p2 partitioned by the wear streaks p1 are formed. In the wear test, various wear patterns Ps occur depending on the contact state between the pressing body 9 and the test sample S. In an actual conveyor line, various wear patterns P occur depending on the contact state between the conveyed object C and the upper cover rubber 3.

  In the present invention, as illustrated in FIG. 6, a wear pattern database PD is created that indicates the relationship between the wear pattern Ps of the test sample S, the type of rubber, the type of wear test method, and the test conditions. Therefore, the image data of each wear pattern Ps is stored in the computing device 12 in association with the type of rubber, the type of wear test method, and the test conditions.

  Further, the conveyor belt 1 is created using the respective types of rubber stored in the wear pattern database PD as the upper cover rubber 3. The created conveyor belt 1 is used at a reference conveyor line 13a set to a predetermined use condition to acquire the wear rate characteristics (reference wear rate characteristics) of the upper cover rubber 3. As the predetermined use conditions, the traveling speed (m / s), conveyance capacity (t / hr), circumferential length (m) and width dimension (mm) of the conveyor belt 1 can be exemplified, and these items are set to predetermined values It is done. The transport capacity is the weight of the transported object C transported per hour.

  The acquired reference wear rate characteristics of each type of rubber are stored in the arithmetic unit 12. The wear rate characteristics of each test sample S are stored in the arithmetic unit 12. Therefore, a wear rate correlation database MD indicating the correlation between the wear rate characteristic of each test sample S and the reference wear rate characteristic is created for each type of wear test method, and stored in the computing device 12.

  In FIG. 7, the wear rate correlation database MD is illustrated as a graph. In FIG. 7, the wear rate characteristics (wear amount) of the test sample S in the A wear test and the wear rate characteristics (wear resistance) of the upper cover rubber 3 (rubber of the same type as the test sample S) at the reference conveyor line 13a. The correlation data with is plotted as open circles. That is, in FIG. 7, data in the case where rubber types are made different under the same test conditions are plotted and shown. The approximate curve E (curve calculated by regression analysis) which ties each white circle plotted in FIG. 7 is described. The abrasion resistance (kt / mm) described in FIG. 7 is the weight of the conveyed product C which can be conveyed while the upper cover rubber 3 is worn by 1 mm. As the wear resistance value increases, it means that the rubber is less likely to wear and the wear rate is slow. According to FIG. 7, the wear resistance when the rubber of the test sample S is used in the reference conveyor line 13a can be grasped from the amount of wear of the test sample S obtained when the A wear test is performed. With regard to other types of wear tests, the wear rate correlation database MD makes it possible to grasp the wear resistance when the rubber of the test sample S is used in the reference conveyor line 13a.

  In the present invention, as described above, the wear pattern database PD and the wear rate correlation database MD are created in advance. Thereafter, the life of the conveyor belt 1a when the conveyor belt 1a to be evaluated is used in the target conveyor line 13b is predicted.

  Therefore, the conveyor belt 1a to be evaluated is used on the target conveyor line 13b for a predetermined period (for example, one day to one week). Thereby, the wear pattern (evaluation wear pattern Pr) which arose on the upper cover rubber 3 of the conveyor belt 1a of evaluation object is acquired. The image data of the evaluation target pattern Pr is stored in the arithmetic unit 12.

  Next, among the test samples S of the same kind of rubber as the upper cover rubber 3 of the conveyor belt 1a to be evaluated, the test samples S in which the wear patterns Ps most similar to the evaluation wear patterns Pr are produced are shown in FIG. Choose from From this, the wear test method in which the selected test sample S was subjected to the wear test is specified from among a plurality of types of wear test methods.

  Evaluation The selection of the test sample S in which the wear pattern Ps most similar to the wear pattern Pr is generated is the shape of the wear pattern p1 between the wear patterns Pr and PS (the evaluation items such as extension length, width and extension direction) Do based on the degree of match. For example, the degree of coincidence is evaluated numerically for each evaluation item, and the corresponding test sample S is selected based on the magnitude of the total value of the evaluation numbers. Although this selection operation can be performed by the operator, it can also be performed using software input to the arithmetic unit.

  When selecting the corresponding test sample S, in addition to the above three evaluation items, another evaluation item can be used. However, as this evaluation item increases, the work becomes complicated. Further, since the wear patterns P can be subdivided and classified according to the above three evaluation items, it is generally sufficient to use the above three evaluation items.

  Since the conditions of use of the reference conveyor line 13a and the target conveyor line 13b are different, their respective ambiguities are different. Therefore, when predicting the life of the conveyor belt 1a to be evaluated in the target conveyor line 13b, if the wear rate correlation database MD created based on the use conditions of the reference conveyor line 13a is used as it is, the prediction accuracy is degraded Do.

  Therefore, based on the comparison of the use conditions of the reference conveyor line 13a and the target conveyor line 13b, the adjustment coefficient α indicating the severity of the target conveyor line 13b with respect to the reference conveyor line 13a is calculated. For the same kind of rubber as the upper cover rubber 3 of the conveyor belt 1a to be evaluated, the wear rate correlation data for the abrasion test method specified as described above is based on the calculated adjustment coefficient α, the target conveyor line Adjust (calibrate) to fit 1a. That is, the data (plotted data) of the wear rate correlation database MD illustrated in FIG. 7 is adjusted as illustrated in FIG.

Specifically, the conditions of use on the reference conveyor line 13a (traveling speed v1 of conveyor belt 1, conveyance amount m1 per unit time of conveyor belt 1, circumferential length L1, width dimension W1) and target conveyor line 13b The adjustment coefficient α is calculated by the following equation (1) by comparing the conditions of use (traveling speed v2 of conveyor belt 1a, conveyance amount m2 per unit time of conveyor belt 1a, circumferential length L2, width dimension W2) .
Adjustment factor α = {(v1 / v2) × (m1 / m2)} / {(L1 / L2) × (W1 / W2)} (1)

The wear rate characteristic of the target conveyor line 13b is adjusted to the wear rate characteristic of the reference conveyor line 13a using the adjustment factor α. For example, when the abrasion resistance (kt / mm) of the reference conveyor line 13a and the target conveyor line 13b is M1 and M2, respectively, the abrasion resistance M2 of the target conveyor line 13a is 2) Calculate using the equation.
M2 = M1 × adjustment coefficient α (1 + g) (2)
Here, g is an additional coefficient determined by an item other than the item of the use condition described above. However, regarding the severity of the target conveyor line 13b with respect to the reference conveyor line 13a, the additional factor g has a value much smaller than 1 (g << 1) because the item of the use conditions described above has a large effect. Therefore, the additive coefficient g can also be zero.

  Thus, the wear rate characteristic of the upper cover rubber 3 of the conveyor belt 1a to be evaluated in the conveyor line 13b of interest is calculated. Thus, the data plotted in FIG. 7 becomes wear rate correlation data adjusted as illustrated in FIG. 8, and the curve E is adjusted to the curve Ex.

  Next, based on the calculated wear rate characteristics of the conveyor belt 1a to be evaluated and the thickness of the upper cover rubber 3, the life of the conveyor belt 1a to be evaluated on the conveyor line 13b to be evaluated is predicted. When the remaining thickness of the upper cover rubber 3 reaches a preset lower limit value, it is determined that the conveyor belt 1a has reached the end of its life. And the remaining thickness of the upper cover rubber 3 can be grasped | ascertained by measurement. Further, the wear rate characteristics (for example, wear resistance) of the upper cover rubber 3 are calculated as described above. Therefore, as illustrated in FIG. 9, it is possible to obtain a predicted line Q indicating the relationship between the transport amount (traveling time) of the conveyor belt 1 a and the remaining thickness of the upper cover rubber 3. In the prediction line Q, it is possible to predict that the time when the remaining thickness of the upper cover rubber 3 reaches the set lower limit is the life of the conveyor belt 1a.

  As described above, according to the present invention, by using the wear pattern database PD created in advance, the wear test of the condition closest to the case where the conveyor belt 1a to be evaluated is used in the target conveyor line 13b. The method can be identified easily. Then, the wear rate characteristic of the upper cover rubber 3 of the conveyor belt 1a to be evaluated in the target conveyor line 13b can be accurately calculated based on the wear rate correlation database MD and the adjustment coefficient α created in advance. Therefore, based on the calculated wear rate characteristics and the thickness of the upper cover rubber 3 of the conveyor belt 1a to be evaluated, the life of the conveyor belt 1a to be evaluated at the conveyor line 13b to be evaluated can be easily predicted with high accuracy. it can.

  In the embodiment, it is assumed that the use condition in the target conveyor line 13b is constant, but the present invention can be applied also when the use condition changes in the middle. When the use condition changes, the wear pattern Pr generated on the upper cover rubber 3 of the conveyor belt 1a to be evaluated under the changed use condition is grasped, and the same procedure as described above is performed. This makes it possible to predict the life of the conveyor belt 1a on the target conveyor line 13b from when the use conditions change.

DESCRIPTION OF SYMBOLS 1 conveyor belt 1 a conveyor belt 2 to be evaluated 2 core layer 3 upper cover rubber 4 lower cover rubber 5 a, 5 b pulley 6 support roller 7 another conveyor belt 8 wear test device 9 pressing body 10 pressing mechanism 11 relative moving mechanism 12 computing device 13a Reference conveyor line 13b Target conveyor line S Test sample C Conveying object P (Ps, Pr) Wear pattern p1 Wear streak p2 Convex part PD Wear pattern database MD Wear speed correlation database

Claims (4)

Abrasion tests are conducted under predetermined test conditions according to a plurality of types of abrasion test methods on test samples of a plurality of types of rubber to grasp the wear rate characteristics and the wear pattern of each of the test samples, Create a wear pattern database indicating the type, the type of the wear test method, and the relationship with the test conditions,
The conveyor belt using each of the plurality of types of rubber as the upper cover rubber is used in a reference conveyor line set to a predetermined use condition, and the wear rate characteristic of the upper cover rubber is acquired as the reference wear rate characteristic A wear rate correlation database indicating correlations between the wear rate characteristics of the test samples and the reference wear rate characteristics for each type of wear test method;
Using the conveyor belt to be evaluated for a predetermined period of time on the target conveyor line, the wear pattern generated on the upper cover rubber of the conveyor belt to be evaluated is acquired as the evaluation wear pattern,
Among the test samples of the same type of rubber as the upper cover rubber of the conveyor belt to be evaluated in the wear pattern database, the test sample having a wear pattern most similar to the evaluation wear pattern is selected. Identify the wear test method for which the selected test sample has been subjected to wear test among multiple types of wear test methods,
Based on the comparison of the usage conditions of the reference conveyor line and the target conveyor line, the adjustment coefficient indicating the severity of the target conveyor line with respect to the reference conveyor line is calculated, and the upper cover rubber of the evaluation target conveyor belt The data of the wear rate correlation data for the identified wear test method for the same type of rubber and the adjustment factor, the upper cover rubber of the evaluated conveyor belt at the target conveyor line Calculating the wear rate characteristic and predicting the life of the evaluation target conveyor belt on the target conveyor line based on the calculated wear rate characteristic and the thickness of the upper cover rubber of the evaluation target conveyor belt A method of predicting the life of a conveyor belt as a feature.   The selection of the test sample in which the wear pattern most similar to the evaluation wear pattern is generated is based on the wear pattern of the test sample and the extension length, width and matching direction of the wear streaks in the evaluation wear pattern. The life prediction method of the conveyor belt according to claim 1 performed.   The traveling speed of the conveyor belt on each of the conveyor lines, the transport weight per unit time, the circumferential length, and the use conditions of the reference conveyor line and the target conveyor line to be compared when calculating the adjustment factor The method according to claim 1 or 2, wherein the width dimension is used.   The method according to any one of claims 1 to 3, wherein, as the predetermined test condition, at least one item of relative moving speed, surface pressure and test temperature of the pressing body to the test sample in each of the rubber abrasion test methods is varied to plural levels. The conveyor belt life prediction method described.

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