CN104677649A - Tire mechanical property intelligent detection device and detection method thereof - Google Patents
Tire mechanical property intelligent detection device and detection method thereof Download PDFInfo
- Publication number
- CN104677649A CN104677649A CN201510127234.7A CN201510127234A CN104677649A CN 104677649 A CN104677649 A CN 104677649A CN 201510127234 A CN201510127234 A CN 201510127234A CN 104677649 A CN104677649 A CN 104677649A
- Authority
- CN
- China
- Prior art keywords
- tire
- gauge point
- camera
- gravity sensor
- detection device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/06—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
- B60C23/066—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle by monitoring wheel-centre to ground distance
Abstract
The invention discloses a tire mechanical property intelligent detection device and a detection method thereof. The detection device comprises a tire, a rim, a gravity sensor, a camera and a marking point; the gravity sensor and the camera are arranged at the same circumferential position of the rim; the marking point is positioned on the surface of the inner side of the tire; the camera is arranged over against an area of the marking point. The detection method adopts a neural network algorithm; when the working tire is deformed, the camera is utilized to acquire displacement variation of a phosphor dot and a tire force is obtained by the neural network algorithm; a six-component sensor is not required for measuring a tangential force, an axial force, a vertical force, a running torque, a rolling moment and a yawing moment on a rotary drum test bench to realize solution of a longitudinal force, a lateral force, a vertical load, a running torque, a rolling moment and an aligning torque of the tire; the tire mechanical property intelligent detection device has the advantages of being simple and compact in structure, simple and convenient to operate, low in cost and the like.
Description
Technical field
The present invention relates to mechanics of tire feature measurement field, relate to a kind of measurement tire mechanical characteristic intelligent system specifically.
Background technology
Mostly existing automobile dynamics dynamical property test system is on the basis of vehicle chassis dynamometer, add auxiliary device or the automobile dynamics dynamical property test system based on integrated rotary drum, adopt modular design, the improved system be made up of TT&C system and several integrated rotary drums, ultimate principle is by drum simulation road surface, the driving wheel of automobile is placed on rotary drum, drive rotary drum rotates, control to apply resistance to rotary drum, simulate different running resistances, tire force is calculated by sensor, its mechanism is complicated, battlefield area is large, test condition limitation is large, manufacturing cost is the shortcoming such as high also.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of intelligent measuring systems and method of mechanics of tire characteristic, this system is by the change in displacement of tire inner surface gauge point, adopt neural network algorithm, calculate tire force, do not adopt drum dynamometer and six-component sensor, structure is simple, compact, operation limitation is little, and cost is low.
The technical solution adopted in the present invention is: this pick-up unit comprises tire, wheel rim, gravity sensor, camera and gauge point; Described gravity sensor and camera are arranged on the same circumferential position of wheel rim, and described gauge point is positioned at the inner surface of tire, and described camera is just arranged the region of gauge point.
Described gravity sensor and camera form gauge point location registration system, this register system is fixed in wheel rim circumferential inner surface and wheel rim, gravity sensor can be determined the time that triggering camera is taken pictures to complete taking pictures to the gauge point in tire ground contact patch region according to road gradient.
Described gauge point is the luminous point adopting luminescent material, can be regular shape also can be non-regular shape, described gauge point is the Rectangular grid shape structure pickup area marked inside tire, length between gauge point and width spaces are 2cm, Width marks eight points, length direction marks 12 points, and described camera is fixed on just to the wheel rim inner surface in gauge point region.
Described ground contact patch district is the contact area of road surface and tire.
The method comprises the following steps:
1. inside tire, adopt luminescent material to mark Rectangular grid shape pickup area gauge point, inside tires wheel rim is placed gravity sensor and camera, gravity sensor and camera are just to pickup area gauge point, and the described tire with pickup area gauge point, wheel rim, gravity sensor and camera form mechanics of tire characteristic intelligent detection device;
2. the test of relation between pickup area gauge point position and mechanics of tire characteristic, is carried out, method of testing be by step 1. described mechanics of tire characteristic intelligent detection device be arranged on tire mechanical property testing platform, under the unsettled light condition of the tire of Fz=0, utilize camera collection gauge point image, record retains the six square phase characteristic of the image A of gauge point that camera takes pictures and now tire, and described Fz is the vertical load that tire mechanical property testing platform is applied on tire;
3., on tire mechanical property testing platform, vertical load Fz applied to tire and make it move, when gravity sensor is in immediately below wheel rim, trigger camera to take pictures, now collect the gauge point image B under the load condition applying this vertical load Fz, record and retain;
4., in step, 2. 3. described image A and step described image B sets up rectangular coordinate system using image center as true origin respectively, image processing techniques is adopted to identify the coordinate figure of gauge point under selected coordinate system, on coordinate figure subtracted image A with luminescent material gauge point each on image B, the coordinate figure of corresponding each luminescent material gauge point, records each marker pip displacement variate-value;
5., intelligent algorithm is utilized, as Nonlinear Mapping relation between neural network algorithm determination gauge point coordinate and tire six square phase characteristic, marker pip displacement variate-value can be obtained and set up funtcional relationship with the size of the vertical load applied, calculate Fz by described funtcional relationship;
6., the load in tire other directions suffered according to Nonlinear Mapping relation between the six square phase characteristic of step 5. determined gauge point coordinate and tire, can obtain the mechanical characteristic of institute's testing tire on described tire mechanical property testing platform.
The present invention has the following advantages and good effect:
1, the present invention marks clear some visible fluorescence points by Mk system at tire inner surface, and phosphor dot quantity and layout are determined according to vehicle, and camera is fixed on wheel rim, accurately can take the change of tire internal labeling point during tire working distortion.
2, the present invention passes through deformations of tyre, tire force is calculated accurately in conjunction with neural network algorithm, compared with conventional tire force measuring method, do not adopt drum dynamometer and six-component sensor, tangential force, axial force, vertical force, turning moment, moment resulting from sidesway and the yaw moment measured on drum dynamometer realizes solving of longitudinal force of tire, side force, vertical load, turning moment, moment resulting from sidesway and aligning torque, there is the features such as structure is simple, device is compact, and easy to operate and cost is low.
Accompanying drawing explanation
Fig. 1 is mechanics of tire characteristic intelligent detection device structural representation of the present invention.
Fig. 2 is gauge point schematic layout pattern on tire of the present invention.
Fig. 3 is camera and gravity sensor setting position structural representation on tire of the present invention.
Fig. 4 is road surface and tire ground contact patch district schematic diagram on tire of the present invention.
Reference numeral: tire 1, wheel rim 2, gravity sensor 3, camera 4, road surface 5, ground contact patch district 6, and gauge point 7.
Embodiment
Shown in accompanying drawing 1,2,3,4: this pick-up unit comprises tire 1, wheel rim 2, gravity sensor 3, camera 4 and gauge point 7; Described gravity sensor 3 and camera 4 are arranged on the same circumferential position of wheel rim 2, and described gauge point 7 is positioned at the inner surface of tire 1, and described camera 4 is just arranged the region of gauge point 7.
Described gravity sensor 3 and camera 4 form gauge point location registration system, this register system is fixed in wheel rim 2 circumferential inner surface and wheel rim 2, gravity sensor 3 can be determined the time that triggering camera 4 is taken pictures to complete taking pictures to the gauge point 7 in tire 1 ground contact patch region according to road gradient.
Described gauge point 7 is the luminous points adopting luminescent material, can be regular shape also can be non-regular shape, described gauge point 7 is the Rectangular grid shape structure pickup area marked inside tire, length between gauge point 7 and width spaces are 2cm, Width marks eight points, length direction marks 12 points, and described camera 4 is fixed on just to wheel rim 2 inside surface in gauge point region.
Described ground contact patch district 6 is contact areas of road surface 5 and tire 1.
The method comprises the following steps:
1. inside tire, adopt luminescent material to mark Rectangular grid shape pickup area gauge point, inside tires wheel rim is placed gravity sensor and camera, gravity sensor and camera are just to pickup area gauge point, and the described tire with pickup area gauge point, wheel rim, gravity sensor and camera form mechanics of tire characteristic intelligent detection device;
2. the test of relation between pickup area gauge point position and mechanics of tire characteristic, is carried out, method of testing be by step 1. described mechanics of tire characteristic intelligent detection device be arranged on tire mechanical property testing platform, under the unsettled light condition of the tire of Fz=0, utilize camera collection gauge point image, record retains the six square phase characteristic of the image A of gauge point that camera takes pictures and now tire, and described Fz is the vertical load that tire mechanical property testing platform is applied on tire;
3., on tire mechanical property testing platform, vertical load Fz applied to tire and make it move, when gravity sensor is in immediately below wheel rim, trigger camera to take pictures, now collect the gauge point image B under the load condition applying this vertical load Fz, record and retain;
4., in step, 2. 3. described image A and step described image B sets up rectangular coordinate system using image center as true origin respectively, image processing techniques is adopted to identify the coordinate figure of gauge point under selected coordinate system, on coordinate figure subtracted image A with luminescent material gauge point each on image B, the coordinate figure of corresponding each luminescent material gauge point, records each marker pip displacement variate-value;
5., intelligent algorithm is utilized, as Nonlinear Mapping relation between neural network algorithm determination gauge point coordinate and tire six square phase characteristic, marker pip displacement variate-value can be obtained and set up funtcional relationship with the size of the vertical load applied, calculate Fz by described funtcional relationship;
6., the load in tire other directions suffered according to Nonlinear Mapping relation between the six square phase characteristic of step 5. determined gauge point coordinate and tire, can obtain the mechanical characteristic of institute's testing tire on described tire mechanical property testing platform.
Claims (4)
1. a mechanics of tire characteristic intelligent detection device, is characterized in that: this pick-up unit comprises tire (1), wheel rim (2), gravity sensor (3), camera (4) and gauge point (7); Described gravity sensor (3) and camera (4) are arranged on the same circumferential position of wheel rim (2), and described gauge point (7) is positioned at the inner surface of tire (1), and described camera (4) is just arranged the region of gauge point (7).
2. a kind of mechanics of tire characteristic intelligent detection device according to claim 1, it is characterized in that: described gravity sensor (3) and camera (4) form gauge point location registration system, this register system is fixed in wheel rim (2) circumferential inner surface and wheel rim (2), gravity sensor (3) can be determined the time that triggering camera (4) is taken pictures to complete taking pictures to gauge point (7) in tire (1) ground contact patch region according to road gradient.
3. a kind of mechanics of tire characteristic intelligent detection device according to claim 1, it is characterized in that: described gauge point (7) is the luminous point adopting luminescent material, can be regular shape also can be non-regular shape, described gauge point (7) is the Rectangular grid shape structure pickup area marked inside tire, length between gauge point (7) and width spaces are 2cm, Width marks eight points, length direction marks 12 points, and described camera 4 is fixed on just to wheel rim 2 inside surface in gauge point region.
4. the detection method of a kind of mechanics of tire characteristic intelligent detection device according to claim 1, is characterized in that: the method comprises the following steps:
1. inside tire, adopt luminescent material to mark Rectangular grid shape pickup area gauge point, inside tires wheel rim is placed gravity sensor and camera, gravity sensor and camera are just to pickup area gauge point, and the described tire with pickup area gauge point, wheel rim, gravity sensor and camera form mechanics of tire characteristic intelligent detection device;
2. the test of relation between pickup area gauge point position and mechanics of tire characteristic, is carried out, method of testing be by step 1. described mechanics of tire characteristic intelligent detection device be arranged on tire mechanical property testing platform, under the unsettled light condition of the tire of Fz=0, utilize camera collection gauge point image, record retains the six square phase characteristic of the image A of gauge point that camera takes pictures and now tire, and described Fz is the vertical load that tire mechanical property testing platform is applied on tire;
3., on tire mechanical property testing platform, vertical load Fz applied to tire and make it move, when gravity sensor is in immediately below wheel rim, trigger camera to take pictures, now collect the gauge point image B under the load condition applying this vertical load Fz, record and retain;
4., in step, 2. 3. described image A and step described image B sets up rectangular coordinate system using image center as true origin respectively, image processing techniques is adopted to identify the coordinate figure of gauge point under selected coordinate system, on coordinate figure subtracted image A with luminescent material gauge point each on image B, the coordinate figure of corresponding each luminescent material gauge point, records each marker pip displacement variate-value;
5., intelligent algorithm is utilized, as Nonlinear Mapping relation between neural network algorithm determination gauge point coordinate and tire six square phase characteristic, marker pip displacement variate-value can be obtained and set up funtcional relationship with the size of the vertical load applied, calculate Fz by described funtcional relationship;
6., the load in tire other directions suffered according to Nonlinear Mapping relation between the six square phase characteristic of step 5. determined gauge point coordinate and tire, can obtain the mechanical characteristic of institute's testing tire on described tire mechanical property testing platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510127234.7A CN104677649B (en) | 2015-03-23 | 2015-03-23 | Tire mechanical property intelligent detection device and detection method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510127234.7A CN104677649B (en) | 2015-03-23 | 2015-03-23 | Tire mechanical property intelligent detection device and detection method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104677649A true CN104677649A (en) | 2015-06-03 |
| CN104677649B CN104677649B (en) | 2017-02-22 |
Family
ID=53313001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510127234.7A Active CN104677649B (en) | 2015-03-23 | 2015-03-23 | Tire mechanical property intelligent detection device and detection method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104677649B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105172494A (en) * | 2015-09-18 | 2015-12-23 | 浙江宇视科技有限公司 | Tyre safety detecting method and tyre safety detecting system |
| CN106767434A (en) * | 2016-12-24 | 2017-05-31 | 安徽佳通乘用子午线轮胎有限公司 | A kind of rolling tire tyre surface sliding measuring system and tyre surface sliding measuring method |
| CN107160951A (en) * | 2017-03-31 | 2017-09-15 | 安徽盛润机械科技有限公司 | Automatic tire pressure monitoring alarming processing system |
| CN109447959A (en) * | 2018-10-17 | 2019-03-08 | 东南大学 | Tire static load mark measurement method |
| CN110462363A (en) * | 2017-03-28 | 2019-11-15 | 株式会社神户制钢所 | Tire testing method and tyre testing apparatus |
| CN111323244A (en) * | 2018-12-17 | 2020-06-23 | 住友橡胶工业株式会社 | Metal wire detection system and metal wire detection method for tire |
| CN112082749A (en) * | 2020-09-23 | 2020-12-15 | 吉林德蕴电气集团股份有限公司 | Isolator monitoring devices |
| CN113195268A (en) * | 2018-12-21 | 2021-07-30 | 普利司通美国轮胎运营有限责任公司 | Tire deflection sensing system |
| CN113858896A (en) * | 2021-09-28 | 2021-12-31 | 安徽佳通乘用子午线轮胎有限公司 | Method for calculating sinking amount and load of rolling tire based on image method |
| CN114199154A (en) * | 2021-11-19 | 2022-03-18 | 江苏大学 | System and method for measuring three-dimensional strain of tire in whole grounding process |
| CN116046243A (en) * | 2023-02-06 | 2023-05-02 | 广东粤港澳大湾区黄埔材料研究院 | Method and device for measuring vertical force of tire |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1358146A (en) * | 2000-01-25 | 2002-07-10 | 倍耐力轮胎公司 | Device for continuously measuring deformations in tyre during the travel movement of motor vehicle |
| CN1849496A (en) * | 2003-09-10 | 2006-10-18 | 精轮有限公司 | Tire inspection apparatus and method |
| US20070255510A1 (en) * | 2003-10-31 | 2007-11-01 | Federico Mancosu | Method and a System for Determining the Roughness of a Tyre Rolling Surface |
| JP2009255689A (en) * | 2008-04-15 | 2009-11-05 | Bridgestone Corp | Part fixing instrument, part fixing method and tire assembly |
| CN201607377U (en) * | 2008-10-02 | 2010-10-13 | 福特全球技术公司 | Testing machine for testing tire/wheel assembly |
| CN201677704U (en) * | 2010-03-26 | 2010-12-22 | 肖峰 | Tire with monitoring chip |
| CN102141573A (en) * | 2010-12-23 | 2011-08-03 | 江西洪都航空工业集团有限责任公司 | Rotational speed image measurement technology of landing gear drop test aircraft wheel |
| CN103347712A (en) * | 2010-12-30 | 2013-10-09 | 米其林集团总公司 | Piezoelectric based system and method for determining tire load |
| CN203249599U (en) * | 2013-04-11 | 2013-10-23 | 合肥米克光电技术有限公司 | Three-dimensional visual measuring instrument for load deformation of tire |
| CN103660811A (en) * | 2012-09-11 | 2014-03-26 | 固特异轮胎和橡胶公司 | Tire sidewall load estimation system and method |
| CN103884293A (en) * | 2014-04-17 | 2014-06-25 | 吉林大学 | Tire deformation online testing device and testing method based on light streams |
| CN104369628A (en) * | 2013-08-12 | 2015-02-25 | 固特异轮胎和橡胶公司 | Torsional mode tire wear state estimation system and method |
-
2015
- 2015-03-23 CN CN201510127234.7A patent/CN104677649B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1358146A (en) * | 2000-01-25 | 2002-07-10 | 倍耐力轮胎公司 | Device for continuously measuring deformations in tyre during the travel movement of motor vehicle |
| CN1849496A (en) * | 2003-09-10 | 2006-10-18 | 精轮有限公司 | Tire inspection apparatus and method |
| US20070255510A1 (en) * | 2003-10-31 | 2007-11-01 | Federico Mancosu | Method and a System for Determining the Roughness of a Tyre Rolling Surface |
| JP2009255689A (en) * | 2008-04-15 | 2009-11-05 | Bridgestone Corp | Part fixing instrument, part fixing method and tire assembly |
| CN201607377U (en) * | 2008-10-02 | 2010-10-13 | 福特全球技术公司 | Testing machine for testing tire/wheel assembly |
| CN201677704U (en) * | 2010-03-26 | 2010-12-22 | 肖峰 | Tire with monitoring chip |
| CN102141573A (en) * | 2010-12-23 | 2011-08-03 | 江西洪都航空工业集团有限责任公司 | Rotational speed image measurement technology of landing gear drop test aircraft wheel |
| CN103347712A (en) * | 2010-12-30 | 2013-10-09 | 米其林集团总公司 | Piezoelectric based system and method for determining tire load |
| CN103660811A (en) * | 2012-09-11 | 2014-03-26 | 固特异轮胎和橡胶公司 | Tire sidewall load estimation system and method |
| CN203249599U (en) * | 2013-04-11 | 2013-10-23 | 合肥米克光电技术有限公司 | Three-dimensional visual measuring instrument for load deformation of tire |
| CN104369628A (en) * | 2013-08-12 | 2015-02-25 | 固特异轮胎和橡胶公司 | Torsional mode tire wear state estimation system and method |
| CN103884293A (en) * | 2014-04-17 | 2014-06-25 | 吉林大学 | Tire deformation online testing device and testing method based on light streams |
Non-Patent Citations (1)
| Title |
|---|
| 庄晔等: "用于轮胎_路面摩擦状态识别的胎内传感技术研究", 《汽车技术》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105172494A (en) * | 2015-09-18 | 2015-12-23 | 浙江宇视科技有限公司 | Tyre safety detecting method and tyre safety detecting system |
| CN105172494B (en) * | 2015-09-18 | 2018-06-05 | 浙江宇视科技有限公司 | A kind of tire safety detection method and tire safety detecting system |
| CN106767434A (en) * | 2016-12-24 | 2017-05-31 | 安徽佳通乘用子午线轮胎有限公司 | A kind of rolling tire tyre surface sliding measuring system and tyre surface sliding measuring method |
| CN110462363A (en) * | 2017-03-28 | 2019-11-15 | 株式会社神户制钢所 | Tire testing method and tyre testing apparatus |
| CN107160951A (en) * | 2017-03-31 | 2017-09-15 | 安徽盛润机械科技有限公司 | Automatic tire pressure monitoring alarming processing system |
| CN109447959A (en) * | 2018-10-17 | 2019-03-08 | 东南大学 | Tire static load mark measurement method |
| CN111323244A (en) * | 2018-12-17 | 2020-06-23 | 住友橡胶工业株式会社 | Metal wire detection system and metal wire detection method for tire |
| CN113195268A (en) * | 2018-12-21 | 2021-07-30 | 普利司通美国轮胎运营有限责任公司 | Tire deflection sensing system |
| CN112082749A (en) * | 2020-09-23 | 2020-12-15 | 吉林德蕴电气集团股份有限公司 | Isolator monitoring devices |
| CN113858896A (en) * | 2021-09-28 | 2021-12-31 | 安徽佳通乘用子午线轮胎有限公司 | Method for calculating sinking amount and load of rolling tire based on image method |
| CN114199154A (en) * | 2021-11-19 | 2022-03-18 | 江苏大学 | System and method for measuring three-dimensional strain of tire in whole grounding process |
| CN116046243A (en) * | 2023-02-06 | 2023-05-02 | 广东粤港澳大湾区黄埔材料研究院 | Method and device for measuring vertical force of tire |
| CN116046243B (en) * | 2023-02-06 | 2023-12-01 | 广东粤港澳大湾区黄埔材料研究院 | Method and device for measuring vertical force of tire |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104677649B (en) | 2017-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104677649A (en) | Tire mechanical property intelligent detection device and detection method thereof | |
| CN102144144B9 (en) | Device and method for determining and adjusting the chassis geometry of a motor vehicle | |
| CN103308324B (en) | Intelligent comprehensive performance detection system for vehicle | |
| CN102770738B (en) | Method and system for the wheel alignment of vehicle | |
| HRP20171684T1 (en) | High volume vehicle inspection system and methods | |
| CN105606373B (en) | Passenger car parking performance testing device and its application on a kind of revolving drum test table | |
| DE602006008505D1 (en) | METHOD FOR CALCULATING FORCE AND MEASUREMENT OF THE FORCES ACTUATING ON THE SURFACE OF A TIRE AND DEVICE FOR CALCULATING THE FORCES | |
| KR101305258B1 (en) | Tire characteristics testing equipment | |
| WO2011118667A1 (en) | Measurement method and measurement device for ground properties of tyre | |
| CN103847639B (en) | Vehicle-mounted camera Dynamic Vehicle subordinate line calibration method | |
| CN104792548B (en) | A kind of three rotary drum detection means for being used to simulate the different straight road surfaces of attachment coefficient | |
| CN105092266B (en) | Tire neatly performance dynamic test experimental bed and experimental method | |
| KR101164423B1 (en) | active contact pressure measuring device of tire | |
| KR101091032B1 (en) | Measurging apparatus for dynamic wheel alignment | |
| CN201152817Y (en) | Apparatus for detecting braking efficiency by chassis dynamometer | |
| CN104631292B (en) | A kind of subgrade resilient modulus method of testing based on two rear axle inspection vehicles | |
| CN106840471B (en) | Integrated measurement system and method for vehicle stability and acting force in tire surface | |
| CN105258958A (en) | Tyre test force bearing platform | |
| CN205120383U (en) | Tire test atress platform | |
| CN107817117B (en) | Real-time measuring device and measuring method for mechanical properties of tire | |
| CN201152816Y (en) | Apparatus for high speed braking efficiency detection in drum type | |
| Higuchi et al. | Measurement of road friction coefficient using strain on tire sidewall | |
| Els et al. | Comparison of tire footprint measurement techniques | |
| JP6042844B2 (en) | Method and apparatus for measuring tire ground contact characteristics | |
| CN106153355B (en) | A kind of ramp abs braking testing stand |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Lu Dang Inventor after: Lin Ze Inventor after: Zhu Xiaolong Inventor after: Jiang Qiliang Inventor after: Jiang Hehe Inventor after: Ni Yuanyuan Inventor after: Pang Zhihua Inventor after: Liu Qianjin Inventor after: Liu Yan Inventor after: Zhang Yichi Inventor before: Zhu Xiaolong Inventor before: Lu Dang Inventor before: Jiang Qiliang Inventor before: Jiang Hehe Inventor before: Ni Yuanyuan |
|
| COR | Change of bibliographic data | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |