CN110610032A - Tire optimization method and device for transportation equipment, electronic equipment and storage medium - Google Patents
Tire optimization method and device for transportation equipment, electronic equipment and storage medium Download PDFInfo
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- CN110610032A CN110610032A CN201910789932.1A CN201910789932A CN110610032A CN 110610032 A CN110610032 A CN 110610032A CN 201910789932 A CN201910789932 A CN 201910789932A CN 110610032 A CN110610032 A CN 110610032A
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- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The invention discloses a tire optimization method and device for transportation equipment, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining the initial radial thickness of the single-layer composite material, and obtaining the mechanical impedance of the single-layer composite material; obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material, and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment; and if the band gap structural characteristic parameters meet preset conditions, taking the initial radial thickness as the optimal radial thickness of each layer of composite material, otherwise, taking the radial thickness of each layer of composite material as an optimization parameter, and taking the band gap structural characteristic parameters meeting the preset conditions as an optimization target, and iteratively determining the optimal radial thickness of each layer of composite material. From this, solved because add damping device, lead to control the effect relatively poor, can't effectively weaken low frequency vibration, and transportation equipment's suitability and practicality are relatively poor, use experience not good scheduling problem.
Description
Technical Field
The invention relates to the technical field of tire design, in particular to a tire optimization method and device for transportation equipment, electronic equipment and a storage medium.
Background
In the related art, in order to enable transportation equipment such as an Automatic Guided Vehicle (AVG) to adapt to various road conditions, a vibration damping device is added to the transportation equipment, for example, a spring damper is added to a suspension system of the AGV, so that the occurrence of severe vibration is avoided in the process of driving on uneven roads, and the risks of wheel slip, Vehicle body inclination, overturning and the like are avoided.
However, the vibration damping device of the related art cannot meet the vibration damping requirement of the transportation equipment on multiple application scenes, for example, as a passive vibration damping device, the spring damper can only weaken the vibration of a single frequency, the control effect is poor, the low-frequency vibration cannot be effectively weakened, and once the vibration damping device is designed and installed, the vibration damping device cannot be changed, so that the applicability and the practicability of the transportation equipment are poor.
Disclosure of Invention
The invention provides a tire optimization method and device for transportation equipment, electronic equipment and a storage medium, and aims to solve the problems that in the prior art, due to the fact that a vibration damping device is added, the control effect is poor, low-frequency vibration cannot be effectively weakened, the applicability and the practicability of the transportation equipment are poor, the use experience is poor, and the like.
In an embodiment of the first aspect of the present invention, a tire optimization method for a transportation device is provided, which includes the following steps: obtaining the initial radial thickness of a single-layer composite material in a tire of transportation equipment, and obtaining the mechanical impedance of the single-layer composite material according to the initial radial thickness; obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material, and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment according to the mechanical impedance of the tire of the transportation equipment; and if the band gap structural characteristic parameters meet preset conditions, taking the initial radial thickness as the optimal radial thickness of each layer of composite material, otherwise, taking the radial thickness of each layer of composite material as an optimization parameter, and taking the band gap structural characteristic parameters meeting the preset conditions as an optimization target, and iteratively determining the optimal radial thickness of each layer of composite material.
In a second aspect, an embodiment of the present invention provides a tire optimizing device for a transportation apparatus, including: the first acquisition module is used for acquiring the initial radial thickness of the single-layer composite material in the tire of the transportation equipment and acquiring the mechanical impedance of the single-layer composite material according to the initial radial thickness; the calculation module is used for obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment according to the mechanical impedance of the tire of the transportation equipment; and the optimization module is used for taking the initial radial thickness as the optimal radial thickness of each layer of composite material when the band gap structural characteristic parameter meets a preset condition, or taking the radial thickness of each layer of composite material as an optimization parameter and taking the band gap structural characteristic parameter meeting the preset condition as an optimization target, and iteratively determining the optimal radial thickness of each layer of composite material.
A third embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being configured to perform a method of tire optimization for a transport device as described in the above embodiments.
A fourth aspect embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for tire optimization of a transport apparatus as described in the above embodiments.
The radial thickness of each layer of composite material is used as an optimization parameter, the band gap structural characteristic parameter is used as an optimization target, the tire is optimally designed, the optimal radial thickness of each layer of composite material is determined in an iteration mode, the damping tire of the transportation equipment is designed, the damping requirement of the transportation equipment on multiple application scenes is met, low-frequency vibration is effectively weakened, the applicability and the practicability of the transportation equipment are poor, and the use experience is improved. From this, solved because add damping device, lead to control the effect relatively poor, can't effectively weaken low frequency vibration, and transportation equipment's suitability and practicality are relatively poor, use experience not good scheduling problem.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method of tire optimization for a transport facility according to an embodiment of the present invention;
FIG. 2 is a schematic structural view of a tire of a transport apparatus according to one embodiment of the present invention;
FIG. 3 is a flow chart of a method of tire optimization for a transport facility according to one embodiment of the present invention
Fig. 4 is a block schematic diagram of a tire optimization device of a transportation apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A tire optimization method, a tire optimization device, an electronic apparatus, and a storage medium of a transportation apparatus according to embodiments of the present invention are described below with reference to the accompanying drawings. Aiming at the problems that the control effect is poor, the low-frequency vibration cannot be effectively weakened, the applicability and the practicability of the transportation equipment are poor, the use experience is poor and the like due to the addition of the vibration damper in the background technology, the invention provides the tire optimization method of the transportation equipment. From this, solved because add damping device, lead to the control effect relatively poor, can't effectively weaken low-frequency vibration, and transportation equipment's suitability and practicality are relatively poor, use experience not good scheduling problem, need not to add damping device, can satisfy transportation equipment to the damping requirement of many application scenes, the damping effect is better, simple easy realization.
Specifically, fig. 1 is a flowchart of a tire optimization method for a transportation device according to an embodiment of the present invention.
As shown in fig. 1, the tire optimization method of the transportation apparatus includes the steps of:
in step S101, an initial radial thickness of a single-layer composite material in a tire of a transportation device is obtained, and a mechanical resistance of the single-layer composite material is obtained according to the initial radial thickness.
Optionally, in an embodiment of the present invention, the single-layer composite material includes a first composite material and a second composite material, wherein the first composite material is an annular epoxy resin, the second composite material is an annular alloy steel, and the characteristic parameters of the bandgap structure include a frequency range of the stop band and a maximum attenuation value.
It should be noted that the transportation device such as the automated guided vehicle according to the embodiment of the present invention, as an intelligent automated transportation tool, has been widely applied to various application scenarios in the manufacturing industry, the light industry, the logistics transportation industry, and the service industry to reduce labor and relieve productivity by improving work efficiency, but in the prior art, a dedicated damping tire is used on the automated transportation tool, and the damping tire cannot be custom-designed for a fixed application scenario, and is easy to process, install, and replace, and is convenient to use.
Specifically, the embodiment of the present invention applies a band-gap structure (band-gap structure) in the vibration transmission characteristics of a periodic structure (periodic structure) to the design of a vibration damping tire, such as a customized design vibration damping tire constructed by stacking a plurality of layers of alloy steel and epoxy resin, so that a stop band (stop band) in the band-gap structure in the vibration transmission characteristics of the vibration damping tire covers a vibration frequency range to be attenuated. Although the following embodiments exemplify two composite materials, namely, a ring-shaped epoxy resin and a ring-shaped alloy steel, it should be understood by those skilled in the art that any composite material or combination of materials may be configured in a similar manner, the implementation of the ring-shaped epoxy resin and the ring-shaped alloy steel is merely illustrative, and the present invention is not limited to this configuration, for example, the alloy steel may be replaced by aluminum, copper, and the epoxy resin may be replaced by rubber, etc.
For example, the radial thickness parameter, i.e. the initial radial thickness, of each composite material layer is first generated, so as to calculate the mechanical impedance of each composite material layer of the radial thickness parameter, for example, the mechanical impedance (mechanical impedance) of the single-layer annular epoxy resin and the mechanical impedance of the single-layer annular alloy steel can be calculated by using a Finite difference method (Finite difference method), and then a vibration damping tire with good vibration damping effect is designed according to the mechanical impedance.
In step S102, the mechanical impedance of the tire of the transportation device is obtained according to the mechanical impedance of the single-layer composite material, and the band gap structural characteristic parameter of the tire of the transportation device is obtained according to the mechanical impedance of the tire of the transportation device.
Further, after obtaining the mechanical impedance of the single layer of the annular epoxy resin and the mechanical impedance of the single layer of the annular alloy steel, the embodiment of the present invention may calculate the mechanical impedance of the whole (tire) composed of the plurality of layers of the alternately stacked epoxy resin, alloy steel, and hub by a transfer matrix method with the mechanical impedance of the single layer of the epoxy resin and the mechanical impedance of the single layer of the annular alloy steel as inputs. The tire of the transportation equipment comprises a plurality of annular epoxy resin layers, a plurality of annular alloy steel layers and a hub, wherein if the first layer of epoxy resin is fixed on the hub, the epoxy resin and the alloy steel are sequentially and alternately stacked, and the last layer of structure is epoxy resin.
In step S103, if the band gap structural characteristic parameter satisfies the preset condition, the initial radial thickness is used as the optimal radial thickness of each layer of composite material, otherwise, the radial thickness of each layer of composite material is used as the optimization parameter, and the band gap structural characteristic parameter satisfies the preset condition as the optimization target, and the optimal radial thickness of each layer of composite material is determined iteratively.
That is to say, the band gap structural characteristic parameters of the whole tire are calculated according to the mechanical impedance of the whole tire, whether the band gap structural characteristic parameters meet preset conditions or not is judged, if yes, the initial radial thickness is the optimal radial thickness, the radial thickness parameters of all the composite material layers are output, if not, iterative optimization is required until the band gap structural characteristic parameters meet the preset conditions, and at the moment, the radial thickness parameters of all the composite material layers generated before are the optimal radial thickness.
For example, with the radial thickness of each annular epoxy resin layer and each annular alloy steel layer as an optimization parameter and the frequency range and the maximum attenuation value of the stop band in the band gap structure of the damping tire as an optimization target, the embodiment of the invention can adopt a genetic algorithm to optimize the thickness of each annular epoxy resin layer and each annular alloy steel layer, calculate the optimal radial thickness of each annular epoxy resin layer and each annular alloy steel layer, and further complete the optimal design of the damping tire.
In the embodiment of the invention, the optimal calculation of the radial thickness of each annular epoxy resin layer and each annular alloy steel layer of the damping tire can be realized through a genetic algorithm, the optimal radial thickness of each annular epoxy resin layer and each annular alloy steel layer can be rapidly calculated, and the stop band in the band gap structure in the vibration transmission characteristic of the damping tire which is optimally designed and processed covers the frequency range to be weakened.
To sum up, the embodiment of the present invention may integrate a finite difference method, a transmission matrix method, and a genetic algorithm, wherein: calculating the mechanical impedance of the hub, the mechanical impedance of each layer of epoxy resin and the mechanical impedance of each layer of alloy steel by a finite difference method; calculating the band gap structural characteristics of the whole tire consisting of the hub motor, the epoxy resin and the alloy steel by using a transmission matrix method; the genetic algorithm takes the radial thickness of each layer of epoxy resin and each layer of alloy steel as an optimization parameter, and takes the frequency range and amplitude of a stop band in a gap structure in the vibration damping characteristic of the tire as an optimization target, and automatically calculates the optimal radial thickness of each layer of epoxy resin and each layer of alloy steel; the optimization process of the optimization method is a continuous iteration process, and the optimal radial thickness of each layer of epoxy resin and alloy steel is obtained through continuous iteration. It should be noted that the optimization algorithm module may be replaced by a neural network, and the simulation method for calculating the mechanical impedance of each material layer by simulation may also be replaced by other alternatives, such as: finite element method, boundary element method, finite element calculation software with external interface, such as: ANSYS, COMSOL, which are not described herein in detail.
Specifically, compared with the prior art, the embodiment of the invention has the following beneficial effects:
(1) the embodiment of the invention adopts the multi-layer composite material formed by combining the epoxy resin and the alloy steel as the main component of the damping tire, and the damping tire is optimally designed, so that the vibration transmission characteristic of the damping tire is matched with the actual application scene, and the optimal damping effect is achieved.
(2) The damping tire provided by the embodiment of the invention is easy to design and process and replace, and can effectively solve the problem that the damping device cannot be changed or replaced once being designed, processed and assembled.
(3) The damping tire provided by the embodiment of the invention has the advantages of simple structure, easiness in design, easiness in processing, friction resistance, corrosion resistance and low cost.
Further, in an embodiment of the present invention, the method of an embodiment of the present invention further includes: acquiring constraint conditions of tires of the transportation equipment; and acquiring the boundary condition of the single-layer composite material.
Alternatively, in one embodiment of the present invention, the constraint condition may include a tire radial thickness range and a tire total mass range, and the boundary condition may be the radial thickness range.
It can be understood that the embodiment of the invention can also generate constraint conditions according to the radial thickness range of the tire and the total mass range of the tire, and generate boundary conditions according to the radial thickness range, that is, the radial thickness range of each composite material layer is obtained, so that the reliability and accuracy of optimization are improved by effectively combining actual application scenes and combining set conditions, the use experience is improved, and the occurrence of invalid design is avoided.
Additionally, in one embodiment of the present invention, the method of the embodiment of the present invention further comprises: the transport environment of the tires of the transport device is detected to generate the preset conditions according to the transport environment. That is to say, the embodiment of the present invention may determine the characteristic parameters of the target bandgap structure, such as the frequency range and the maximum attenuation value of the stop band, according to the actual application scenario, thereby improving the accuracy and the practicability of the optimization.
Compared with the prior art that only a spring damper or a passive suspension system is adopted, the damping effect is general, once the damping system is designed and processed, the damping characteristic is fixed and cannot be adapted to an actual application scene, the damping system cannot achieve a preset effect, and the vibration noise cannot achieve a design index.
The following describes the optimization method of the embodiment of the present invention in detail with a specific embodiment.
For example, as shown in fig. 2, 1 denotes a hub; 2 represents a first cyclic epoxy resin layer; 3 represents a first annular alloy steel layer; 4 represents a second annular epoxy resin layer; 5 represents a second annular alloy steel layer; 6 represents a third annular epoxy resin layer; 7 represents a third annular alloy steel layer; and 8 represents a fourth layer of a cyclic epoxy resin.
The first annular epoxy resin layer 2 is fixedly mounted on the hub 1, the first annular alloy steel layer 3 is fixedly mounted on the first annular epoxy resin layer 2, the second annular epoxy resin layer 4 is fixedly mounted on the first annular alloy steel layer 3, the second annular alloy steel layer 5 is fixedly mounted on the second annular epoxy resin layer 4, the third annular epoxy resin layer 6 is fixedly mounted on the second annular alloy steel layer 5, the third annular alloy steel layer 7 is fixedly mounted on the third annular epoxy resin layer 6, and the fourth annular epoxy resin layer 8 is fixedly mounted on the third annular alloy steel layer 7.
As shown in fig. 3, the method of the embodiment of the present invention includes:
step S301: and starting. That is, the program starts.
Step S302: and inputting constraints.
For example, constraints for the tire (tire radial thickness range, tire total mass range) are input.
Step S303: a boundary condition is input.
For example, the boundary conditions (radial thickness ranges) of the respective material layers (annular epoxy resin layer, annular alloy steel layer) of the tire are inputted.
According to the embodiment of the invention, the constraint condition can be generated according to the radial thickness range and the total mass range of the tire, the boundary condition is generated according to the radial thickness range, the actual application scene is effectively combined, the set condition is combined, the reliability and the accuracy of optimization are improved, the use experience is improved, the invalid design is avoided, and the optimal vibration reduction effect is achieved.
Step S304: and a genetic algorithm module.
That is, the genetic algorithm module is started to automatically generate a set of radial thickness parameters of each material layer (annular epoxy resin layer, annular alloy steel layer).
Step S305: the finite difference method calculates the program.
Further, the finite difference method calculation program calculates the mechanical impedance of each material layer (annular epoxy resin layer, annular alloy steel layer).
Step S306: and (5) calculating a program by a transmission matrix method.
Specifically, the mechanical impedance of each material layer (annular epoxy resin layer, annular alloy steel layer) is taken as an input, the mechanical impedance of the entire tire is calculated by a transmission matrix method calculation program, and the band gap structure characteristic parameter of the entire tire is calculated and output.
Step S307: and judging whether the ending condition is met.
It can be understood that, if the band gap structural characteristics of the entire tire satisfy the end condition that the stop band frequency band includes the vibration damping frequency band range required in the customized design of the tire and the transmission attenuation rate of the stop band is the maximum, the optimization is ended, the radial thickness parameters of the material layers (the annular epoxy resin layer and the annular alloy steel layer) are output in the next step, and if the end condition is not satisfied, the steps S304 to S307 are repeated to perform iterative optimization until the end condition is satisfied.
Step S308: and outputting the optimal parameters of each layer of material.
That is, the optimum radial thickness of each layer of composite material is output.
Step S309: and (6) ending.
According to the tire optimization method for the transportation equipment, provided by the embodiment of the invention, the radial thickness of each layer of composite material is taken as an optimization parameter, the band gap structural characteristic parameter is taken as an optimization target, the tire is optimally designed, the optimal radial thickness of each layer of composite material is determined in an iteration mode, and the damping tire of the transportation equipment is designed, so that the damping requirements of the transportation equipment on multiple application scenes are met, the low-frequency vibration is effectively weakened, the poor applicability and practicability of the transportation equipment can be ensured, and the use experience is improved. From this, solved because add damping device, lead to control the effect relatively poor, can't effectively weaken low frequency vibration, and transportation equipment's suitability and practicality are relatively poor, use experience not good scheduling problem.
Next, a tire optimizing device of a transport apparatus according to an embodiment of the present invention will be described with reference to the drawings.
Fig. 4 is a block schematic diagram of a tire optimizing apparatus of a transport device according to an embodiment of the present invention.
As shown in fig. 4, the tire optimizing device 10 of the transportation apparatus includes: a first acquisition module 100, a calculation module 200 and an optimization module 300.
The first obtaining module 100 is configured to obtain an initial radial thickness of a single-layer composite material in a tire of a transportation device, and obtain a mechanical impedance of the single-layer composite material according to the initial radial thickness.
The calculation module 200 is used for obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material, and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment according to the mechanical impedance of the tire of the transportation equipment.
The optimization module 300 is configured to determine the initial radial thickness as the optimal radial thickness of each layer of composite material when the band gap structural characteristic parameter meets a preset condition, and otherwise, determine the optimal radial thickness of each layer of composite material iteratively by using the radial thickness of each layer of composite material as an optimization parameter and using the band gap structural characteristic parameter meeting the preset condition as an optimization target.
Further, in one embodiment of the present invention, the apparatus 10 of the embodiment of the present invention further comprises: the device comprises a second acquisition module and a third acquisition module.
The second acquisition module is used for acquiring the constraint conditions of the tires of the transportation equipment.
The third acquisition module is used for acquiring the boundary conditions of the single-layer composite material.
Additionally, in one embodiment of the present invention, the apparatus 10 of an embodiment of the present invention further comprises: and a detection module.
The detection module is used for detecting the transportation environment of the tires of the transportation equipment so as to generate preset conditions according to the transportation environment.
It should be noted that the foregoing explanation of the tire optimization method embodiment of the transportation device is also applicable to the tire optimization apparatus of the transportation device of this embodiment, and details are not repeated here.
According to the tire optimization device for the transportation equipment, the radial thickness of each layer of composite material is taken as an optimization parameter, the band gap structural characteristic parameter is taken as an optimization target, the tire is optimally designed, the optimal radial thickness of each layer of composite material is determined in an iteration mode, and the damping tire of the transportation equipment is designed, so that the damping requirements of the transportation equipment on multiple application scenes are met, low-frequency vibration is effectively weakened, the poor applicability and practicability of the transportation equipment can be guaranteed, and the use experience is improved. From this, solved because add damping device, lead to control the effect relatively poor, can't effectively weaken low frequency vibration, and transportation equipment's suitability and practicality are relatively poor, use experience not good scheduling problem.
In order to implement the above embodiments, the present invention further provides an electronic device, including: at least one processor and a memory. Wherein the memory is in communication with the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being configured to perform the tire optimization method of the transport device of the above embodiment, such as to:
the mechanical impedance of the single layer of the first composite material and the single layer of the second composite material is obtained.
And the single-layer first composite material and the single-layer second composite material are alternately superposed and form the tire of the transportation equipment with the hub, and the mechanical impedance of the tire of the transportation equipment is obtained according to the mechanical impedance of the single-layer first composite material and the single-layer second composite material.
And determining the optimal radial thickness of each layer of composite material by taking the radial thickness of each layer of composite material as an optimization parameter and taking the frequency range and the maximum attenuation value of a stop band in the band gap structure of the tire as optimization targets.
In order to achieve the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the tire optimization method of a transportation device of the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method of optimizing tires for a transportation device, comprising the steps of:
obtaining the initial radial thickness of a single-layer composite material in a tire of a transportation device, and obtaining the mechanical impedance of the single-layer composite material according to the initial radial thickness;
obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material, and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment according to the mechanical impedance of the tire of the transportation equipment; and
and if the band gap structural characteristic parameters meet preset conditions, taking the initial radial thickness as the optimal radial thickness of each layer of composite material, otherwise, taking the radial thickness of each layer of composite material as an optimization parameter, and taking the band gap structural characteristic parameters meeting the preset conditions as an optimization target, and iteratively determining the optimal radial thickness of each layer of composite material.
2. The method of claim 1, wherein the single layer composite material comprises a first composite material and a second composite material, wherein the first composite material is an annular epoxy resin and the second composite material is an annular alloy steel, and wherein the band gap structural characteristic parameters comprise a frequency range and a maximum attenuation value of a stop band.
3. The method of claim 1, further comprising:
acquiring constraint conditions of tires of the transportation equipment;
and acquiring the boundary condition of the single-layer composite material.
4. The method of claim 3, wherein the constraints include a tire radial thickness range and a tire total mass range, and the boundary condition is the radial thickness range.
5. The method of claim 1, further comprising:
detecting a transport environment of a tire of the transport device to generate the preset condition according to the transport environment.
6. A tire optimizing apparatus for a transportation device, comprising:
the first acquisition module is used for acquiring the initial radial thickness of the single-layer composite material in the tire of the transportation equipment and acquiring the mechanical impedance of the single-layer composite material according to the initial radial thickness;
the calculation module is used for obtaining the mechanical impedance of the tire of the transportation equipment according to the mechanical impedance of the single-layer composite material and obtaining the band gap structural characteristic parameter of the tire of the transportation equipment according to the mechanical impedance of the tire of the transportation equipment; and
and the optimization module is used for taking the initial radial thickness as the optimal radial thickness of each layer of composite material when the band gap structural characteristic parameter meets a preset condition, or taking the radial thickness of each layer of composite material as an optimization parameter and taking the band gap structural characteristic parameter meeting the preset condition as an optimization target, and iteratively determining the optimal radial thickness of each layer of composite material.
7. The apparatus of claim 6, further comprising:
a second acquisition module for acquiring constraint conditions of the tires of the transportation equipment;
and the third acquisition module is used for acquiring the boundary condition of the single-layer composite material.
8. The apparatus of claim 6, further comprising:
a detection module for detecting a transport environment of a tire of the transport device to generate the preset condition according to the transport environment.
9. An electronic device, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the instructions being configured to perform a method of tire optimization for a transport device as set forth in any one of claims 1-5.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for tire optimization of a transportation device of any one of claims 1-5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910789932.1A CN110610032B (en) | 2019-08-26 | 2019-08-26 | Tire optimization method and device for transportation equipment, electronic equipment and storage medium |
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| CN201910789932.1A CN110610032B (en) | 2019-08-26 | 2019-08-26 | Tire optimization method and device for transportation equipment, electronic equipment and storage medium |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070208443A1 (en) * | 2003-10-15 | 2007-09-06 | Rieter Technologies Ag. | Method For Determining Optimal Damping Treatments Layouts And Panel Shape Layouts |
| CN103324786A (en) * | 2013-06-03 | 2013-09-25 | 北京工业大学 | Two-dimensional solid-phase phonon crystal XY module cord gap optimization method based on genetic algorithm |
| CN104483085A (en) * | 2014-12-23 | 2015-04-01 | 中国船舶重工集团公司第七0四研究所 | Design method of special test base for force transmissibility of vibration equipment |
| CN105760619A (en) * | 2016-03-10 | 2016-07-13 | 北京航空航天大学 | Composite material layer optimization design method taking fatigue reliability into account |
| CN108973518A (en) * | 2018-07-24 | 2018-12-11 | 南京林业大学 | A kind of shock-absorbing wheel based on phonon crystal |
| CN109649093A (en) * | 2019-01-23 | 2019-04-19 | 合肥工业大学 | A kind of Parameters design of tire cavity resonance noise-attenuation device |
| CN109800461A (en) * | 2018-12-19 | 2019-05-24 | 北京航空航天大学 | Crucial gabarit parameter optimization method and device for tire construction light-weight design |
| WO2019134734A1 (en) * | 2018-01-02 | 2019-07-11 | Volvo Construction Equipment Ab | A working machine provided with means for determining a payload |
-
2019
- 2019-08-26 CN CN201910789932.1A patent/CN110610032B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070208443A1 (en) * | 2003-10-15 | 2007-09-06 | Rieter Technologies Ag. | Method For Determining Optimal Damping Treatments Layouts And Panel Shape Layouts |
| CN103324786A (en) * | 2013-06-03 | 2013-09-25 | 北京工业大学 | Two-dimensional solid-phase phonon crystal XY module cord gap optimization method based on genetic algorithm |
| CN104483085A (en) * | 2014-12-23 | 2015-04-01 | 中国船舶重工集团公司第七0四研究所 | Design method of special test base for force transmissibility of vibration equipment |
| CN105760619A (en) * | 2016-03-10 | 2016-07-13 | 北京航空航天大学 | Composite material layer optimization design method taking fatigue reliability into account |
| WO2019134734A1 (en) * | 2018-01-02 | 2019-07-11 | Volvo Construction Equipment Ab | A working machine provided with means for determining a payload |
| CN108973518A (en) * | 2018-07-24 | 2018-12-11 | 南京林业大学 | A kind of shock-absorbing wheel based on phonon crystal |
| CN109800461A (en) * | 2018-12-19 | 2019-05-24 | 北京航空航天大学 | Crucial gabarit parameter optimization method and device for tire construction light-weight design |
| CN109649093A (en) * | 2019-01-23 | 2019-04-19 | 合肥工业大学 | A kind of Parameters design of tire cavity resonance noise-attenuation device |
Non-Patent Citations (3)
| Title |
|---|
| 姚伟等: "遗传算法在轮胎结构多目标优化设计中的应用", 《复合材料学报》 * |
| 徐子杰 等: ""轮胎噪声频率特性与影响因素分析"" * |
| 曹宇等: "利用优化算法分析分层结构障板的声学性能", 《应用声学》 * |
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