Intelligent tire forming equipment

By using conductive neural networks, rubber nozzles and cord winding devices in the smart tire forming equipment, smart tires are formed, and the incomplete signal acquisition and reliability problems of traditional smart tires are solved, and information collection without blind spots and accuracy is improved.

CN222136026UActive Publication Date: 2024-12-10SHANDONG LINGLONG TIRE CO LTD
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Patent Information

Application Number
CN202420144354.2
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-01-19
Publication Date
2024-12-10
Estimated Expiration
2034-01-19

AI Technical Summary

Technical Problem

The existing smart tires have an area that does not cover the sensor during the rolling process, resulting in incomplete signal acquisition and inability to fully reflect the tire grounding perception. The inconsistency between the sensor substrate and rubber leads to reduced reliability and missing data acquisition.

Method used

Design an intelligent tire forming device, adopt a conductive neural network as part of tire forming, and form smart tires through rubber nozzles and cord winding devices to achieve blind spot information collection and avoid appearance defects and reliability problems of traditional sensors.

Benefits of technology

It realizes that smart tires collect information without blind spots during rolling, improves collection accuracy, avoids the reduction in reliability and data loss caused by traditional sensors, and meets the acquisition needs of smart tires.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model belongs to the technical field of tire forming equipment, and discloses intelligent tire forming equipment, which comprises a forming machine main body and a tire main body, a rotating mechanism is arranged on the forming machine, a forming drum is mounted on the rotating mechanism, the tire main body is sleeved on the forming drum, and a rubber nozzle is arranged on the forming machine main body. A cord thread winding device is arranged on the forming machine, the conductive neural network serves as a part of tire forming through the rubber spray head and the cord thread winding device to form an intelligent tire through the arranged structures such as the conductive neural network, the rubber spray head and the cord thread winding device, and the conductive neural network serves as a sensor to achieve a tire neural network structure. Therefore, the intelligent tire collects information without dead angles during rolling, the collection precision requirement of the intelligent tire is met, the appearance defect caused by internal attachment of a traditional sensor is avoided, the tire reliability reduction caused by inconsistency of a traditional sensor base material and rubber is avoided, and meanwhile, the collection data missing caused by the insufficient number of sensors is avoided.
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Description

Technical Field

[0001] The utility model belongs to the technical field of tire molding equipment, and in particular relates to intelligent tire molding equipment. Background Art

[0002] Tires are chemically synthesized from steel cords, cord fabrics, natural rubber and various polymers. When a car is driving at high speed, the driver's perception of the outside world is transmitted through car components, and the performance of the tire, which is a component in direct contact with the road surface, directly determines the relevant performance of the vehicle. Smart tires mean that the tires are no longer a simple rubber composite on the vehicle, but connect the data information inside the vehicle with external users through a control system. The so-called intelligence of existing smart tires refers to the fact that various sensors that characterize tire parameters are embedded inside the tire, including strain sensors, acceleration sensors, pressure and temperature sensors, and sensors of different types of functions such as RFID. For example, an acceleration sensor or a strain sensor is attached to the inside of the tire. The acceleration / strain sensor is attached to the inner surface of the tire, most of which are located in the center of the crown. After the tire rolls, the tire grounding information is collected through the acceleration / strain sensor to realize the function of the smart tire.

[0003] The internal sensors of smart tires are divided into single sensors, multi-parameter sensors, and multi-parameter sensor arrays. The substrates used in the above sensors are different from the tire rubber, and adhesives are usually used to combine the two. At the same time, the effective collection of smart tire data is through contact feedback after the tire rolls. Even with the sensor array, there are still areas that are not covered by sensors during the tire's rolling cycle. This situation causes the smart tire to collect incomplete signals and cannot fully reflect the tire's ground contact perception. Utility Model Content

[0004] The purpose of the utility model is to provide a smart tire molding device to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the utility model provides the following technical solutions: a kind of intelligent tire molding equipment, including a molding machine body and a tire body, the molding machine is arranged with a rotating mechanism, a molding drum is installed on the rotating mechanism, the tire body is sleeved on the molding drum, a rubber nozzle is arranged on the molding machine body, a cord winding device is arranged on the molding machine, the tire body is provided with a rubber inner liner, a carcass cord, a belt cord and a rubber outer layer from the inside to the outside, and a conductive neural network is arranged inside the tire body.

[0006] Preferably, a control panel is arranged on the molding machine body, and the control panel is electrically connected to the rotating mechanism, the rubber nozzle and the cord winding device respectively.

[0007] Preferably, a rotation speed rod is arranged on the molding machine body, and the rotation speed rod is electrically connected to the molding drum.

[0008] Preferably, the belt cord layer is wound around the tire frame at a certain angle.

[0009] Preferably, the rubber lining layer is formed by injection molding through a rubber nozzle through rubber material and conductive rubber in a certain trajectory.

[0010] Preferably, the carcass cords and the belt cords are both wound onto the rubber inner liner at different angles by a cord winding device.

[0011] Preferably, the conductive neural network is formed by conductive rubber evenly arranged in the tire body.

[0012] The beneficial effects of the utility model are:

[0013] In the utility model, by means of structures such as a conductive neural network, a rubber nozzle and a cord winding device, a conductive neural network is used as a part of tire molding through the rubber nozzle and the cord winding device to form an intelligent tire, and the tire neural network structure is realized by using the conductive neural network as a sensor, so that the intelligent tire can collect information without blind spots during rolling, meeting the collection accuracy requirements of the intelligent tire, avoiding the appearance defects caused by the attachment of traditional sensors, avoiding the reduction in tire reliability caused by the inconsistency between the traditional sensor substrate and the rubber, and avoiding the lack of collected data caused by insufficient number of sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the structure of the overall device of an intelligent tire molding device proposed by the utility model;

[0015] Figure 2 The utility model provides a kind of intelligent tire molding equipment Figure 1 A schematic diagram of the structure enlargement in the middle;

[0016] Figure 3 A schematic diagram of winding a carcass cord of an intelligent tire forming device proposed in the utility model;

[0017] Figure 4 A schematic diagram of winding a belt cord of a smart tire forming device proposed by the utility model;

[0018] Figure 5 A schematic diagram of tire body molding of an intelligent tire molding device proposed in the utility model;

[0019] Figure 6 This is a schematic cross-sectional diagram of a conductive neural network of an intelligent tire of an intelligent tire molding device proposed by the utility model.

[0020] In the figure: 1. Molding machine body; 2. Rubber nozzle; 3. Cord winding device; 4. Rotating mechanism; 5. Molding drum; 6. Tire body; 7. Speed ​​rod; 8. Control panel; 9. Rubber inner liner; 10. Carcass cord; 11. Belt cord; 12. Conductive neural network; 13. Rubber outer layer. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0022] Reference Figure 1-6 A forming device for an intelligent tire comprises a forming machine body 1 and a tire body 6, wherein the forming machine is provided with a rotating mechanism 4, a forming drum 5 is mounted on the rotating mechanism 4, the tire body 6 is sleeved on the forming drum 5, a rubber nozzle 2 is arranged on the forming machine body 1, a cord winding device 3 is arranged on the forming machine, the tire body 6 is provided with a rubber inner liner 9, a carcass cord 10, a belt cord 11 and a rubber outer layer 13 in sequence from the inside to the outside, and a conductive neural network 12 is arranged inside the tire body 6.

[0023] By means of the conductive neural network 12, rubber nozzle 2 and cord winding device 3 and other structures, the conductive neural network 12 is used as a part of tire molding through the rubber nozzle 2 and the cord winding device 3 to form an intelligent tire, and the tire neural network structure is realized by using the conductive neural network 12 as a sensor, so that the intelligent tire can collect information without blind spots during rolling, meet the collection accuracy requirements of the intelligent tire, avoid the appearance defects caused by the attachment of traditional sensors, avoid the reduction of tire reliability caused by the inconsistency between the traditional sensor substrate and the rubber, and avoid the lack of collected data caused by insufficient number of sensors.

[0024] Specifically, in this embodiment, a control panel 8 is arranged on the molding machine body 1 , and the control panel 8 is electrically connected to the rotating mechanism 4 , the rubber nozzle 2 and the cord winding device 3 , respectively.

[0025] The rubber spray head 2 and the cord winding device 3 can be controlled by a control panel 8 to work according to the process.

[0026] Specifically, in this embodiment, a rotation speed rod 7 is arranged on the molding machine body 1 , and the rotation speed rod 7 is electrically connected to the molding drum 5 .

[0027] The rotation speed and expansion and contraction of the forming drum 5 can be adjusted by means of the arranged rotation speed rod 7 .

[0028] Specifically, in this embodiment, the belt cord 11 layer is wound around the tire frame at a certain angle.

[0029] Specifically, in this embodiment, the rubber lining layer 9 is formed by the rubber nozzle 2 through injection molding of the rubber material and the conductive rubber in a certain sequence.

[0030] Specifically, in this embodiment, the carcass cords 10 and the belt cords 11 are both wound onto the rubber inner liner 9 at different angles by the cord winding device 3 .

[0031] Specifically, in this embodiment, the conductive neural network 12 is formed by conductive rubber evenly arranged in the tire body 6, which can enable the smart tire to collect information without blind spots during rolling, thereby meeting the collection accuracy requirements of the smart tire.

[0032] When producing the tire body 6, the forming drum 5 is expanded and contracted to the required specifications of the tire, and the control panel 8 controls the rubber nozzle 2 to spray the rubber material and the conductive rubber in sequence according to the set trajectory to form a rubber inner liner 9. After the spraying is completed, the cord is wound through the cord winding device 3 to form the carcass cord 10 and the belt cord 11 in sequence, and finally the tread is sprayed through the rubber nozzle 2 to form a rubber outer layer 13, so that the tire body 6 is formed.

[0033] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes within the technical scope disclosed by the present invention according to the technical scheme and the utility model concept of the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A smart tire molding device, comprising a molding machine body and a tire body, characterized in that: The molding machine is provided with a rotating mechanism, a molding drum is installed on the rotating mechanism, the tire body is sleeved on the molding drum, a rubber nozzle is provided on the molding machine body, a cord winding device is provided on the molding machine, the tire body is provided with a rubber inner liner, a carcass cord, a belt cord and a rubber outer layer from the inside to the outside, and a conductive neural network is arranged inside the tire body.

2. The intelligent tire forming device according to claim 1, characterized in that: A control panel is arranged on the main body of the molding machine, and the control panel is electrically connected to the rotating mechanism, the rubber nozzle and the cord winding device respectively.

3. The intelligent tire forming device according to claim 1, characterized in that: A rotation speed rod is arranged on the molding machine body, and the rotation speed rod is electrically connected to the molding drum.

4. The intelligent tire forming device according to claim 1, characterized in that: The belt cord layer is wound around the tire frame at a certain angle.

5. The intelligent tire molding device according to claim 1, characterized in that: The rubber lining layer is formed by injection molding of the rubber material and the conductive rubber by a rubber nozzle in a certain sequence.

6. The intelligent tire molding device according to claim 1, characterized in that: The carcass cords and the belt cords are both wound onto the rubber inner liner at different angles by a cord winding device.

7. The intelligent tire molding device according to claim 1, characterized in that: The conductive neural network is formed by evenly arranging conductive rubber in the tire body.