AU2018341061B2 - Conveyor belt life prediction method - Google Patents
Conveyor belt life prediction method Download PDFInfo
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- AU2018341061B2 AU2018341061B2 AU2018341061A AU2018341061A AU2018341061B2 AU 2018341061 B2 AU2018341061 B2 AU 2018341061B2 AU 2018341061 A AU2018341061 A AU 2018341061A AU 2018341061 A AU2018341061 A AU 2018341061A AU 2018341061 B2 AU2018341061 B2 AU 2018341061B2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/56—Investigating resistance to wear or abrasion
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- Life Sciences & Earth Sciences (AREA)
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Abstract
Provided is a conveyor belt life prediction method that makes it possible to more simply and highly accurately predict a life that is dependent on upper rubber cover wear. In this method, a wear pattern database is created for wear patterns Ps formed on each rubber test sample in each wear test method. A wear speed correlation database is created for standard wear speed characteristics obtained through the use of each type of rubber on a standard conveyor line 13a and the wear speed characteristics of each test sample. The wear test method that creates the wear pattern most similar to an evaluation wear pattern Pr created on an upper rubber cover 3 after a conveyor belt 1a to be evaluated has been used for a prescribed period on a given conveyor line 13a is specified from the wear pattern database. The wear speed characteristic of the upper rubber cover 3 on the conveyor belt 1a on the conveyor line 13a is ascertained through the adjustment of the wear speed correlation database for the specified test method according to the severity of the conveyor line 13a.
Description
CONVEYOR BELT LIFE PREDICTION METHOD [Technical Field] [0001]
The present invention relates to a conveyor belt life prediction method and particularly relates to a conveyor belt life prediction method that can more accurately and easily predict the service life of a conveyor belt caused by wear on an upper cover rubber.
[Background Art] [0002]
Various objects, including mineral resources such as iron ore and limestone, are conveyed by a conveyor belt. When being conveyed by the conveyor belt, the conveyed objects are fed onto an upper cover rubber of the conveyor belt from a hopper or another conveyor belt. The fed conveyed objects are loaded onto the upper cover rubber and conveyed in a travel direction of the conveyor belt. When the conveyed objects are loaded on the upper cover rubber and conveyed, the upper cover rubber is subject to wear as a result of the conveyed objects sliding on the upper cover rubber. The amount of wear and mode of wear on the upper cover rubber caused by the fed conveyed objects greatly vary depending on use conditions of the conveyor belt.
[0003]
Known test methods for evaluating the wear resistance of rubber include the Williams abrasion test, the Akron abrasion test, the Lambourn abrasion test, the Pico abrasion test, the DIN abrasion test, and the Taber abrasion test. In the prior art, there is proposed a method for selecting an optimal test method that approximates the use conditions of a conveyor belt from among these known abrasion test methods and evaluating wear resistance on the basis of test results obtained using the selected test method (see Patent Document 1).
[0004]
In the method proposed in Patent Document 1, the optimal test method is selected in consideration of the surface pressure and relative movement speed of an object that presses on the test sample used in each known wear test method. The surface pressure and relative movement speed of conveyed objects on the conveyor belt greatly affect how quickly the cover rubber wears out. Thus, such an evaluation method is beneficial for predicting the service life of a conveyor belt caused by wear on the cover rubber of the conveyor belt. However, the mode of wear on the cover rubber involves various complex
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PCT/JP2018/024219 factors, and hence further improvements are required to predict the service life of a conveyor belt with higher accuracy and ease.
[Citation List] [Patent Literature] [0005]
Patent Document 1: JP 2017-49055 A [Summary of Invention] [Technical Problem] [0006]
An object of the present invention is to provide a conveyor belt life prediction method that can more accurately and easily predict the service life of a conveyor belt caused by wear on an upper cover rubber.
[Solution to Problem] [0007]
A conveyor belt life prediction method according to embodiments of the present invention for solving the above-described problems includes the steps of: creating a wear pattern database that indicates a relationship between wear patterns, different types of rubber, different types of wear test methods, and test conditions, by determining wear rate characteristics and the wear patterns of each of test samples made of the different types of rubber by subjecting the test samples to wear tests according to the different types of wear test methods under predetermined test conditions; creating a wear rate correlation database that indicates a correlation between reference wear rate characteristics and wear rate characteristics of each of the test samples tested according to the different types of wear test methods, by acquiring, as the reference wear rate characteristics, wear rate characteristics of an upper cover rubber by using conveyor belts, in each of which the upper cover rubber is made of different types of rubber, on a reference conveyor line set to predetermined use conditions; acquiring, as an evaluation wear pattern, a wear pattern occurring on the upper cover rubber of an evaluation conveyor belt, by using the evaluation conveyor belt on a target conveyor line for a predetermined period of time; identifying a wear test method performed on a selected test sample from among the different types of wear test methods, by selecting, from the wear pattern database, one of the test samples having a wear pattern closest to the evaluation wear pattern from among the test samples made of the same type
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PCT/JP2018/024219 of rubber as the upper cover rubber of the evaluation conveyor belt; and predicting a service life of the evaluation conveyor belt on the target conveyor line on a basis of the calculated wear rate characteristics and thickness of the upper cover rubber of the evaluation conveyor belt, by calculating an adjustment coefficient indicating severity of wear on the target conveyor line compared to the reference conveyor line on a basis of comparison between use conditions of the reference conveyor line and use conditions of the target conveyor line and by calculating the wear rate characteristics of the upper cover rubber of the evaluation conveyor belt on the target conveyor line on a basis of the adjustment coefficient and the wear rate correlation database relating to the specified wear test method used on the same type of rubber as the upper cover rubber of the evaluation conveyor belt.
[Advantageous Effects of Invention] [0008]
According to the embodiment of the present invention, the test sample, having the wear pattern closest to the evaluation wear pattern on the upper cover rubber when the evaluation conveyor belt is used on the target conveyor line for a predetermined period of time, can be selected from the pre-created wear pattern database from among the test samples made of the same type of rubber as the upper cover rubber, and the wear test method used to perform the wear test on the selected test sample can be identified. Using the wear patterns in this way makes it possible to easily identify the wear test method having conditions closest to when the evaluation conveyor belt is used on the target conveyor line. Furthermore, for rubber of the same type as the upper cover rubber of the evaluation conveyor belt, the wear rate correlation database indicating the correlation between the wear rate characteristics of the rubber when used in the identified wear test method and the reference wear rate characteristics when the rubber is used on a reference conveyor line is created in advance. Thus, the wear rate characteristics of the upper cover rubber of the evaluation conveyor belt on the target conveyor line can be accurately calculated on the basis of the wear rate correlation database and the adjustment coefficient indicating the severity of wear on the target conveyor line compared to the reference conveyor line. As a result, the service life of the evaluation conveyor belt on the target conveyor line can be more accurately and easily predicted on the basis of the calculated wear rate characteristics and the thickness of the upper cover rubber of the evaluation conveyor belt.
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PCT/JP2018/024219 [Brief Description of Drawings] [0009]
FIG. 1 is an explanatory diagram illustrating a conveyor belt line in a simplified manner.
FIG. 2 is a cross-sectional view taken along A-A of FIG. 1.
FIG. 3 is an explanatory diagram illustrating frictional force acting on the conveyor belt.
FIG. 4 is an explanatory diagram illustrating a wear test device and a computation device that receives input of data.
FIGS. 5 are explanatory diagrams illustrating wear patterns in a plan view.
FIG. 6 is an explanatory diagram illustrating the structure of a wear pattern database.
FIG. 7 is a graph showing correlation between a reference wear rate and the amount of wear in a rubber test method.
FIG. 8 is a graph showing correlation obtained by adjusting the correlation in FIG. 7 on the basis of use conditions on an actual conveyor line.
FIG. 9 is a graph showing change over time in remaining thickness of an upper cover rubber.
[Description of Embodiments] [0010]
A conveyor belt life prediction method according to embodiments of the present invention will be described below with reference to the drawings. [0011]
On the conveyor belt line illustrated in FIG. 1, conveyed objects C conveyed by another conveyor belt 7 are fed onto a conveyor belt 1 that conveys the conveyed objects C to a conveying destination. The conveyed objects C may be fed onto the conveyor belt 1 using a hopper or other device. The conveyor belt 1 is stretched at a prescribed tension between pulleys 5a and 5b.
[0012]
As illustrated in FIG. 2, the conveyor belt 1 is configured of a core layer 2 formed of a core made of, for example, canvas or steel cords, and an upper cover rubber 3 and a lower cover rubber 4 that sandwich the core layer 2. The core layer 2 is a member that bears tension that causes the conveyor belt 1 to be stretched. The lower cover rubber 4 is supported by support rollers 6 on a carrier side of the conveyor belt 1, and the upper cover rubber 3 is supported by
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PCT/JP2018/024219 the support rollers 6 on a return side of the conveyor belt 1. Three of the support rollers 6 are arranged on the carrier side of the conveyor belt 1 in the belt width direction. The conveyor belt 1 is supported by these support rollers 6 in a recessed shape having a prescribed trough angle a. When the pulley 5a on a drive side is rotationally driven, the conveyor belt 1 is operated in one direction at a prescribed traveling speed VI. The conveyed objects C are fed onto the upper cover rubber 3 and are loaded on the upper cover rubber 3 and conveyed. [0013]
As illustrated in FIG. 3, on this conveyor belt line, the conveyor belt 1 and the other conveyor belt 7 are disposed apart from each other by a vertical difference h (a difference h between height positions of conveying surfaces of the conveyor belts 1 and 7). On the other conveyor belt 7, the conveyed objects C are conveyed at a horizontal speed V0 (V0 < VI). When the conveyed objects C are loaded onto the conveyor belt 1 from the other conveyor belt 7, the conveyed objects C are still at the horizontal speed V0. However, when the conveyed objects C begin to be conveyed by the conveyor belt 1, the horizontal speed becomes VI, which is the same as the travel speed of the conveyor belt 1. [0014]
More specifically, the conveyed objects C in contact with the upper cover rubber 3 move in the travel direction of the conveyor belt 1 at a relative movement speed V (= VI - V0) relative to the conveyor belt 1 while pressing the upper cover rubber 3 with a predetermined surface pressure P. A frictional force f acts on the upper cover rubber 3, and such behavior of the conveyed objects C is the main reason for wear on the upper cover rubber 3.
[0015]
The predetermined surface pressure by which the conveyed objects C press on the upper cover rubber 3 is a pressing force (regarded as the weight of the conveyed objects C) at which the conveyed objects C press against the upper cover rubber 3 in relation to the contact area of the conveyed objects C on the upper cover rubber 3. In other words, the surface pressure is calculated as follows: (weight of the conveyed objects C/contact area). The amount of wear on the upper cover rubber 3 is greatly affected by the surface pressure. [0016]
As illustrated in FIG. 4, a wear test device 8 for rubber generally includes a pressing object 9, a pressing mechanism 10 that presses the pressing object 9 against a test sample S on a conveyor belt, and a relative movement mechanism 11 that moves the pressing object 9 and the test sample S relative to each other. A test method employing such a test device 8 presses the pressing
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PCT/JP2018/024219 object 9 against the test sample S and moves the pressing object 9 and the test sample S relative to each other to cause wear on the test sample S. Thus, it is possible to determine the wear rate characteristics (amount of wear) of the test sample S and the wear pattern generated on the surface of the test sample S. In the known wear test methods described above, the pressing object 9, the pressing mechanism 10 and the relative movement mechanism 11 have different specifications.
[0017]
Thus, in the present invention, different types of wear test methods (wear test method A, wear test method B, wear test method C, ...) were used to test test samples S made of different types of rubber including different types of polymers or compounding agents and different combination ratios thereof. Wear tests were performed with these wear test methods under predetermined test conditions to determine the wear rate characteristics and a wear pattern Ps for each of the test samples S. As described above, different types of known test methods include the Williams abrasion test, the Akron abrasion test, the Lambourn abrasion test, the Pico abrasion test, the DIN abrasion test and the Taber abrasion test.
[0018]
Predetermined test conditions were, for example, standard test conditions used for each wear test method. Wear tests can also be performed under test conditions in which, for example, at least one of the standard test conditions including the relative movement speed, the surface pressure, and the test temperature of the pressing object 9 on the test sample S is changed to a plurality of different standards.
[0019]
The wear rate characteristics are indicators of wear rate and can illustrate wear rate (amount of wear within a predetermined period of time) and other factors.
[0020]
Wear patterns P are patterns that occur on the surface of rubber that is worn down. FIGS. 5 illustrate examples of the typical wear patterns P. In FIGS. 5, an arrow L indicates a travel direction of the conveyor belt 1 and an arrow Y indicates a width direction of the conveyor belt 1. In the wear pattern P illustrated in FIG 5A, a plurality of wear lines pl extending along the travel direction are aligned in the width direction. The area where the wear lines pl are not present is a convex portion p2. In the wear pattern P illustrated in FIG 5B, a plurality of the wear lines pl extending along the width direction W are
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PCT/JP2018/024219 aligned in the travel direction L. The area where the wear lines pl are not present is the convex portion p2. In the wear pattern P illustrated in FIG. 5C, a plurality of the block-shaped convex portions p2 defined by the wear lines pl are formed. When performing wear tests, the various wear patterns Ps occur depending on the state of contact between the pressing object 9 and the test sample S. On an actual conveyor line, the various wear patterns P occur depending on the state of contact between the conveyed objects C and the upper cover rubber 3.
[0021]
As illustrated in FIG. 6, in the present invention, a wear pattern database PD is created. This database PD indicates the relationship between the wear pattern Ps on the test sample S and the type of rubber, the type of wear test method, and test conditions. Thus, image data on each wear pattern Ps is stored in a computation device 12 in association with the type of rubber, the type of wear test method, and the test conditions.
[0022]
The conveyor belts 1 are also created. In each conveyor belt 1, the upper cover rubber 3 is made of a different type of rubber among the types of rubber stored in the wear pattern database PD. The created conveyor belts 1 are used on a reference conveyor line 13 set to predetermined use conditions to acquire the wear rate characteristics (reference wear rate characteristics) of each upper cover rubber 3. The predetermined use conditions may include the travel speed (m/s), the conveying capacity (t/hr), the circumferential length (m), and the width dimension (mm) of the conveyor belt 1. These items are set to predetermined values. The conveying capacity is the weight (ton) of the conveyed objects C conveyed per hour.
[0023]
The acquired reference wear rate characteristics for each type of rubber are stored in the computation device 12. The wear rate characteristics for each of the test samples S are stored in the computation device 12. Thus, a wear rate correlation database MD is created and stored in the computation device 12. This database MD indicates the correlation between the reference wear rate characteristics and the wear rate characteristics of each of the test samples S tested with each type of wear test method.
[0024]
The wear rate correlation database MD is shown graphically in FIG. 7. In FIG. 7, data on the correlation between the wear rate characteristics (amount of wear) of the test sample S in the wear test method A and the wear rate
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PCT/JP2018/024219 characteristics (wear resistance) of the upper cover rubber 3 (rubber of the same type as the test sample S) on a reference conveyor line 13a are plotted with white circles. In other words, in FIG. 7, data on different types of rubber tested under the same test conditions are plotted. An approximation curve E (curve calculated by regression analysis) shown in FIG. 7 connects the plotted white circles. The wear resistance (kt/mm) illustrated in FIG. 7 is the weight (kiloton) of the conveyed objects C that can be conveyed while the upper cover rubber 3 is worn by 1 mm. As the value of the wear resistance increases, the rubber is less likely to wear and the wear rate slows. As seen in FIG. 7, the wear resistance of the rubber of the test sample S when used on the reference conveyor line 13a can be determined from the amount of wear of the test sample S obtained when the test sample S was subjected to the wear test A. For other types of wear tests, the wear rate correlation database MD can be used to determine the wear resistance of the rubber of the test sample S when used on the reference conveyor line 13a.
[0025]
In the present invention, the wear pattern database PD and the wear rate correlation database MD are created in advance as described above. Then, the service life of an evaluation conveyor belt la when that conveyor belt la is used on a target conveyor line 13b is predicted.
[0026]
The evaluation conveyor belt la is used on the target conveyor line 13b for a predetermined period of time (for example, between one day and one week). As a result, a wear pattern (evaluation wear pattern Pr) generated on the upper cover rubber 3 of the evaluation conveyor belt la is obtained. Image data on the evaluation pattern Pr is stored in the computation device 12.
[0027]
Next, the test sample S having the wear pattern Ps closest to the evaluation wear pattern Pr is selected from the wear pattern database PD from among the test samples S made from the same type of rubber as the upper cover rubber 3 of the evaluation conveyor belt la. As a result, the wear test method used to perform the wear test on the selected test sample S is identified from among the plurality of types of wear test methods.
[0028]
The test sample S having the wear pattern Ps closest to the evaluation wear pattern Pr is selected on the basis of a match with the shape (evaluation items such as length of line extension, width, and direction of line extension) of the wear lines pl in both the wear patterns Pr and Ps. For example, the degree
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PCT/JP2018/024219 of match for each evaluation item is numerically evaluated, and the corresponding test sample S is selected on the basis of the size of the total of the evaluated values. The selection operation can be performed by a worker or by using software input to the computation device.
[0029]
Other evaluation items may be used in addition to the three evaluation items described above when selecting the corresponding test sample S. However, work becomes more complicated when the number of evaluation items increases. Generally speaking, the three evaluation items described above are sufficient because each of the wear patterns P can be subdivided and classified according to the three evaluation items.
[0030]
The use conditions of the reference conveyor line 13a and the use conditions of the target conveyor line 13b differ from each other, and hence the severity of wear on each conveyor line also differs. Thus, when predicting the service life of the evaluation conveyor belt la on the target conveyor line 13b and using the wear rate correlation database MD created on the basis of the use conditions of the reference conveyor line 13a as is, prediction accuracy decreases.
[0031]
Thus, the use conditions of the reference conveyor line 13a and the use conditions of the target conveyor line 13b are compared, and an adjustment coefficient a that indicates the severity of wear on the target conveyor line 13b compared to the reference conveyor line 13a is calculated on the basis of this comparison. The wear rate correlation data relating to the wear test method specified as described above used on the rubber of the same type as the upper cover rubber 3 of the evaluation conveyor belt la is adjusted (calibrated) on the basis of the calculated adjustment coefficient a so as to conform to the target conveyor line 13b. That is, the data (plotted data) in the wear rate correlation database MD illustrated in FIG. 7 is adjusted as illustrated in FIG. 8.
[0032]
More specifically, use conditions (travel speed vl, conveying amount ml per unit time, circumferential length LI and width dimension W1 of the conveyor belt 1) on the reference conveyor line 13a and use conditions (travel speed V2, conveying amount m2 per unit time, circumferential length L2 and width dimension W2 of the conveyor belt la) on the target conveyor line 13b are compared, and the adjustment coefficient a is calculated according to the following Equation (1).
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PCT/JP2018/024219
Adjustment coefficient a = {(vl/v2) x (ml/m2)}/{(L1/L2) x (W1/W2)} ---(1) [0033]
The wear rate characteristics on the target conveyor line 13b are adjusted using the adjustment coefficient a with respect to the wear rate characteristics on the reference conveyor line 13a. For example, if the wear resistance (kt/mm) of the reference conveyor line 13a is Ml and the wear resistance of the target conveyor line 13b is M2, the wear resistance M2 on the target conveyor line 13b is calculated using the following Equation (2). M2 = Ml x adjustment coefficient a (1 + g) · · · (2), where g is an addition coefficient determined according to items other than the above-described items of use conditions. However, the severity of wear on the target conveyor line 13b compared to the reference conveyor line 13a is greatly affected by the above-described items of use conditions. Thus, an addition coefficient g is a much smaller value than 1 (g « 1). As such, the addition coefficient g can be zero.
[0034]
As described above, the wear rate characteristics of the upper cover rubber 3 of the evaluation conveyor belt la on the target conveyor line 13b are calculated. As a result, the data plotted in FIG. 7 is the wear rate correlation data adjusted as illustrated in FIG. 8 and the curve E is adjusted to become the curve Ex.
[0035]
Next, the service life of the evaluation conveyor belt la on the target conveyor line 13b is predicted on the basis of the calculated wear rate characteristics of the evaluation conveyor belt la and the thickness of the upper cover rubber 3. When the remaining thickness of the upper cover rubber 3 reaches a preset lower limit, it is determined that the service life of the conveyor belt la has ended. The remaining thickness of the upper cover rubber 3 can be determined by actual measurement. The wear rate characteristics (for example, wear resistance) of the upper cover rubber 3 are calculated as described above. Thus, as illustrated in FIG. 9, a predicted line Q can be obtained. This predicted line Q indicates the relationship between the conveying amount (travel time) of the conveyor belt la and the remaining thickness of the upper cover rubber 3. Using the predicted line Q, it is possible to predict that the point in time at which the remaining thickness of the upper
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PCT/JP2018/024219 cover rubber 3 reaches the preset lower limit is when the service life of the conveyor belt la ends.
[0036]
According to the present invention as described above, the pre-created wear pattern database PD can be used to easily identify the wear test method having conditions closest to those when using the evaluation conveyor belt la on the target conveyor line 13b. Further, the wear rate characteristics of the upper cover rubber 3 of the evaluation conveyor belt la on the target conveyor line 13b can be accurately calculated on the basis of the pre-created wear rate correlation database MD and the adjustment coefficient a. Thus, the service life of the evaluation conveyor belt la on the target conveyor line 13b can be more accurately and easily predicted on the basis of the calculated wear rate characteristics and the thickness of the upper cover rubber 3 of the evaluation conveyor belt la.
[0037]
In the embodiments, the use conditions on the target conveyor line 13b are assumed to be constant, but the present invention can also be applied to a case where use conditions change partway through use. In a configuration where the use conditions change, the wear pattern Pr occurring on the upper cover rubber 3 of the evaluation conveyor belt la is determined under the changed use conditions, and the same procedure as described above is performed. As a result, it is possible to predict the service life of the conveyor belt la on the target conveyor line 13b from the point in time at which the use conditions changed.
[Reference Signs List] [0038]
Conveyor belt la Evaluation conveyor belt
Core layer
Upper cover rubber
Lower rubber cover
5a, 5b Pulley
Support roller
Other conveyor belt
Wear test device
Pressing object
Pressing mechanism
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PCT/JP2018/024219
2018341061 12 Mar 2020
Relative movement mechanism
Calculation device
13a Reference conveyor line
13b Target conveyor line
S Test sample
C Conveyed object
P (Ps, Pr) Wear pattern pl Wear line p2 Convex portion
PD Wear pattern database
MD Wear rate correlation database
Claims (4)
- [Claim 1]A conveyor belt life prediction method comprising the steps of: creating a wear pattern database that indicates a relationship between wear patterns, different types of rubber, different types of wear test methods, and test conditions, by determining wear rate characteristics and the wear patterns of each of test samples made of the different types of rubber by subjecting the test samples to wear tests according to the different types of wear test methods under the predetermined test conditions;creating a wear rate correlation database that indicates a correlation between reference wear rate characteristics and the wear rate characteristics of each of the test samples tested according to the different of types of wear test methods, by acquiring, as the reference wear rate characteristics, wear rate characteristics of an upper cover rubber by using conveyor belts, in each of which the upper cover rubber is made of the different types of rubber, on a reference conveyor line set to predetermined use conditions;acquiring, as an evaluation wear pattern, a wear pattern occurring on the upper cover rubber of an evaluation conveyor belt, by using the evaluation conveyor belt on a target conveyor line for a predetermined period of time;identifying a wear test method performed on a selected test sample from among the different types of wear test methods, by selecting, from the wear pattern database, one of the test samples having a wear pattern closest to the evaluation wear pattern from among the test samples made of the same type of rubber as the upper cover rubber of the evaluation conveyor belt; and predicting a service life of the evaluation conveyor belt on the target conveyor line on a basis of the calculated wear rate characteristics and thickness of the upper cover rubber of the evaluation conveyor belt, by calculating an adjustment coefficient indicating severity of wear on the target conveyor line compared to the reference conveyor line on a basis of comparison between use conditions of the reference conveyor line and use conditions of the target conveyor line and by calculating the wear rate characteristics of the upper cover rubber of the evaluation conveyor belt on the target conveyor line on a basis of the adjustment coefficient and the wear rate correlation database relating to the specified wear test method used on the same type of rubber as the upper cover rubber of the evaluation conveyor belt.
- [Claim 2]WO 2019/064758 AlPCT/JP2018/024219The conveyor belt life prediction method according to claim 1, wherein the one of the test samples having the wear pattern closest to the evaluation wear pattern is selected on a basis of a match between extension length, width, and extension direction of wear lines in the wear pattern on the test sample and wear lines in the evaluation wear pattern.
- [Claim 3]The conveyor belt life prediction method according to claim 1 or 2, wherein travel speed, conveying weight, circumferential length and width dimension of the conveyor belts on each of the reference conveyor line and the target conveyor line are used as the use conditions of the reference conveyor line and the target conveyor line, which are compared when calculating the adjustment coefficient.
- [Claim 4]The conveyor belt life prediction method according to any one of claims 1 to 3, wherein at least one item among the predetermined test conditions including relative movement speed, surface pressure, and testing temperature of a pressing object in each of the different types of rubber wear test methods is changed to a plurality of different standards.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2017-185280 | 2017-09-26 | ||
| JP2017185280A JP2019060711A (en) | 2017-09-26 | 2017-09-26 | Life prediction method for conveyer belt |
| PCT/JP2018/024219 WO2019064758A1 (en) | 2017-09-26 | 2018-06-26 | Conveyor belt life prediction method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2018341061A1 AU2018341061A1 (en) | 2020-04-02 |
| AU2018341061B2 true AU2018341061B2 (en) | 2020-04-30 |
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| Application Number | Title | Priority Date | Filing Date |
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| AU2018341061A Ceased AU2018341061B2 (en) | 2017-09-26 | 2018-06-26 | Conveyor belt life prediction method |
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| Country | Link |
|---|---|
| JP (1) | JP2019060711A (en) |
| CN (1) | CN110799827B (en) |
| AU (1) | AU2018341061B2 (en) |
| WO (1) | WO2019064758A1 (en) |
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| CN117150685B (en) * | 2023-10-26 | 2024-02-06 | 国合通用(青岛)测试评价有限公司 | Fatigue life assessment system and method for fastening bolt |
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| WO2013080954A1 (en) * | 2011-12-02 | 2013-06-06 | 株式会社ブリヂストン | Conveyor belt device |
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| JP2004020319A (en) * | 2002-06-14 | 2004-01-22 | Jfe Steel Kk | Abrasion test device for conveyer belt |
| JP2009294125A (en) * | 2008-06-06 | 2009-12-17 | Shimadzu Corp | Material testing machine and program therefor |
| CN104897497A (en) * | 2015-01-22 | 2015-09-09 | 尹伯亚 | Method for improving wear resistance of tyre through ground pressure distribution analysis |
| CN108662983B (en) * | 2016-08-30 | 2020-05-01 | 大连民族大学 | Method for detecting and calculating correlation coefficient of steel rail abrasion |
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2017
- 2017-09-26 JP JP2017185280A patent/JP2019060711A/en active Pending
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2018
- 2018-06-26 WO PCT/JP2018/024219 patent/WO2019064758A1/en active Application Filing
- 2018-06-26 CN CN201880042904.7A patent/CN110799827B/en not_active Expired - Fee Related
- 2018-06-26 AU AU2018341061A patent/AU2018341061B2/en not_active Ceased
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013080954A1 (en) * | 2011-12-02 | 2013-06-06 | 株式会社ブリヂストン | Conveyor belt device |
| JP2016196351A (en) * | 2015-04-06 | 2016-11-24 | 株式会社大林組 | Belt flaw detection device |
| JP2016204159A (en) * | 2015-04-23 | 2016-12-08 | 横浜ゴム株式会社 | Specification decision method for conveyor belt |
| JP2017049055A (en) * | 2015-08-31 | 2017-03-09 | 横浜ゴム株式会社 | Abrasion resistance evaluation method for conveyor belt |
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| CN110799827A (en) | 2020-02-14 |
| WO2019064758A1 (en) | 2019-04-04 |
| CN110799827B (en) | 2020-11-13 |
| JP2019060711A (en) | 2019-04-18 |
| AU2018341061A1 (en) | 2020-04-02 |
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