CN102288115A - Method for precisely measuring roller geometric dimension on line - Google Patents

Method for precisely measuring roller geometric dimension on line Download PDF

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CN102288115A
CN102288115A CN 201110192649 CN201110192649A CN102288115A CN 102288115 A CN102288115 A CN 102288115A CN 201110192649 CN201110192649 CN 201110192649 CN 201110192649 A CN201110192649 A CN 201110192649A CN 102288115 A CN102288115 A CN 102288115A
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roller
cloud data
point cloud
radius
geometric dimension
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CN102288115B (en
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赵显富
王新志
曹爽
孙景领
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Suzhou Xiao Qi Mdt Infotech Ltd
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Nanjing University of Information Science and Technology
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Abstract

The invention provides a method for precisely measuring roller geometric dimension on line to solve the problems of low efficiency and slightly low precision of the conventional method for measuring the roller geometric dimension. The method for precisely measuring the roller geometric dimension on line is high in measurement precision and is suitable for industrial high-speed online detection. Two three-dimensional laser scanners which are arranged opposite to each other are used for acquiring point cloud data of rollers to be measured; and a computer data processing system processes the point cloud data so as to judge whether the geometric dimension of the rollers is qualified or not according to acquired geometric parameters of the rollers and error requirements.

Description

Precise online detection method for geometric dimension of roller
The technical field is as follows:
the invention belongs to the technical field of measuring technical devices, and relates to a high-speed online measuring method for the geometric dimension of a roller.
Background art:
the bearing is a very important mechanical part with wide application in the mechanical industry, and has large production batch and high precision requirement. At present, most bearing manufacturers in China still rely on mechanical and optical measuring instruments in the aspect of detecting the dimensional accuracy of a bearing roller, the means is backward, and the random sampling detection method relying on manpower has low detection efficiency and low accuracy and is easy to cause human errors; with the development of modern manufacturing industry, the traditional detection technology can not meet the requirement. The method aims to meet the characteristics of large production batch, strict quality requirement and heavy detection task in the bearing manufacturing industry, and the requirements of automatic assembly line operation and realization of a product zero rejection rate detection target.
The geometric parameters of the roller are important basis for judging whether the geometric dimension of the roller is qualified, and mainly comprise the following steps: radius at a section of the roller at a certain height, radius error corresponding to a certain point on the circumference of the section. At present, the detection of the geometric dimension of the roller is still basically in a manual or contact detection mode at home, and a micrometer or a differential transformer type sensor is mostly adopted for contact measurement. The traditional manual measurement method has strong dependence on operators, high labor intensity of workers and low efficiency, and more importantly, the product precision cannot be effectively guaranteed, and a lot of artificial errors can be generated, so that the detection requirements of large-batch, fast-paced and high-precision products are difficult to meet. As the processing equipment of the roller in China is generally low in precision and poor in consistency, the precision of the roller is mostly divided by detection equipment, and the quality and the yield of the bearing product in China are severely restricted. The research on the non-contact high-precision high-speed detection of the outer diameter of the bearing roller is still in the blank stage.
The processing and detecting mode of the foreign bearing roller is different from that of the bearing factory in China. The machining precision of a forging bed for machining the rolling body abroad and a cylindrical grinding machine is generally higher than that of China, so that the machined roller can better ensure the precision and consistency. But the price is very expensive and can not be accepted by most domestic mechanical manufacturing enterprises. The precision of the roller can be regularly monitored, the product quality can be well controlled by adopting a sampling inspection mode, and the sampling inspection test equipment also adopts a contact type measurement mode. Large-scale application and real-time online detection on a production field cannot be realized, and the backward state of the detection means cannot be changed essentially.
The invention content is as follows:
the invention aims to solve the problems of low efficiency and low precision of the conventional roller geometric dimension measuring method, provides a high-speed online detection method for the geometric dimension of a roller, has high measuring precision, and is suitable for industrial high-speed online detection.
The purpose of the invention is realized by the following measures:
1) selecting two high-precision three-dimensional laser scanners;
2) the two three-dimensional laser scanners are oppositely arranged;
3) setting a target:
4) the three-dimensional laser scanner scans the roller on the scanning platform to obtain point cloud data of the roller under any coordinate system, wherein the form of the point cloud data is (
Figure 2011101926494100002DEST_PATH_IMAGE001
Figure 2011101926494100002DEST_PATH_IMAGE002
5) Matching the point cloud data of the two scanners according to the set target;
6) according to the detection condition, extracting point cloud data of the bottom of the roller, wherein the coordinate of the point cloud data is (
Figure 2011101926494100002DEST_PATH_IMAGE003
Figure 2011101926494100002DEST_PATH_IMAGE004
,() On the same circle, the equation is:
Figure 2011101926494100002DEST_PATH_IMAGE006
whereinIs the radius of the circle, and the radius of the circle,
Figure 2011101926494100002DEST_PATH_IMAGE008
is a point (
Figure 858807DEST_PATH_IMAGE005
) The central angle of the position is determined according to
Figure 775947DEST_PATH_IMAGE005
) Solution to the problem
Figure 555684DEST_PATH_IMAGE007
The specific solving method comprises the following steps:
the following equation:
Figure 2011101926494100002DEST_PATH_IMAGE009
wherein,
Figure 2011101926494100002DEST_PATH_IMAGE010
Figure 2011101926494100002DEST_PATH_IMAGE011
the designed value of the radius of the circle;
Figure 2011101926494100002DEST_PATH_IMAGE013
is a point () The initial value of the central angle of the position is defined as positive clockwise from the X-axis direction,
Figure 2011101926494100002DEST_PATH_IMAGE015
wherein:
Figure DEST_PATH_IMAGE016
Figure 2011101926494100002DEST_PATH_IMAGE017
Figure DEST_PATH_IMAGE018
Figure 2011101926494100002DEST_PATH_IMAGE019
Figure DEST_PATH_IMAGE020
wherein
Figure DEST_PATH_IMAGE021
Representation matrix
Figure DEST_PATH_IMAGE022
The transpose operation of (1).
Solving the equation to obtain
Figure 952217DEST_PATH_IMAGE007
Optimum value of (2)
Figure DEST_PATH_IMAGE023
At this time, the process of the present invention,the error between the actual radius value and the designed radius value of the roller is obtained;
7) according to
Figure DEST_PATH_IMAGE026
Figure 964559DEST_PATH_IMAGE004
The following can be obtained:
Figure DEST_PATH_IMAGE027
Figure DEST_PATH_IMAGE028
wherein:
Figure DEST_PATH_IMAGE029
indicates a point on a certain height plane (corresponding to point:)
Figure DEST_PATH_IMAGE030
) Radius error of (2 [ ], ] [, ]]Indicating a summation.
According to
Figure DEST_PATH_IMAGE031
Figure DEST_PATH_IMAGE032
Figure DEST_PATH_IMAGE033
And judging whether the bottom size of the roller is qualified or not according to the error requirement.
8) For any height surfaceThe detection of the geometric dimension of the roller can extract the point cloud data of the roller on the height surface
Figure DEST_PATH_IMAGE035
Judging the height surface of the roller according to the error requirement
Figure 293910DEST_PATH_IMAGE034
And if the geometric dimension is qualified, the specific algorithm is the same as that in step 6.
Compared with the prior art, the invention has the following advantages:
1. high speed on-line detection
The existing detection method mainly adopts a sampling detection mode, has low efficiency and can not meet the requirement of piece detection.
According to the detection method, each product is detected for only 10s, 6 products can be detected in one minute, 360 products can be detected in one hour, uninterrupted detection can be realized in 24 hours in one day, and 8640 products can be detected in one day. Therefore, the detection efficiency is high.
2. The precision of the invention can reach 0.02mm at most. Which is generally not achieved with the prior art.
Description of the drawings:
FIG. 1 is a schematic view of a data acquisition portion of the apparatus of the present invention.
Fig. 2 is a schematic diagram of the established rectangular coordinate system.
In the figure: 1 is three-dimensional laser scanner, 2 is three-dimensional laser scanner, 3 is the roller that detects, 4-is the mark target, and 5 is the mark target.
The specific implementation mode is as follows:
the method can realize the online detection of the bearing roller production line.
As shown in fig. 1 and 2, the online detection of the cylindrical roller is realized. The invention can also realize the measurement of the tapered roller.
Three-dimensional laser scanners useful in the present invention can employ: foreign brands such as come card, topotecan and Tianbao, national brands such as Shenzhen Shanhua luck technology Limited, and scanners produced by Beijing Bo Wei Hengxin technology development Limited can be used. The specific model is determined according to the detection precision requirement.
In FIG. 1, a precision inspection system for measuring roller geometry may include a scanning system and a computer data processing system; the scanning system consists of a scanning platform and two oppositely arranged three-dimensional laser scanners and is used for acquiring point cloud data of the roller to be detected; the computer data processing system consists of a data acquisition module and a data processing module and is used for processing point cloud data and judging whether the geometric dimension of the roller is qualified or not.
The detection steps of the invention are briefly described as follows:
step 1: the roller 3 to be detected is transmitted into the scanning platform;
step 2: setting a target 4 and a target 5;
step 3, scanning the roller 3 to be detected by the three-dimensional laser scanner 1 and the three-dimensional laser scanner 2 to obtain point cloud data of the roller to be detected;
step 4, the point cloud data of the roller 3 to be detected, which is obtained by the scanning system, is transmitted into a computer data processing system;
and 5, processing the point cloud data by a data processing module of the computer data processing system (specificallyProcessed according to the previous 6), a certain height surface of the roller to be detected is obtained
Figure 492810DEST_PATH_IMAGE034
And comparing the relevant geometric parameters with the design values of the geometric parameters on the height surface of the roller to be detected, and judging whether the geometric dimension of the roller is qualified according to the error requirement.

Claims (3)

1. A precise online detection method for geometric dimension of a roller comprises the following steps:
1) selecting two high-precision three-dimensional laser scanners;
2) the two three-dimensional laser scanners are oppositely arranged;
3) setting a target:
4) the three-dimensional laser scanner scans the roller on the scanning platform to obtain point cloud data of the roller under any coordinate system, wherein the form of the point cloud data is (
Figure 142672DEST_PATH_IMAGE001
Figure 33268DEST_PATH_IMAGE002
5) Matching the point cloud data of the two scanners according to the set target;
6) according to the detection condition, extracting point cloud data of the bottom of the roller, wherein the coordinate of the point cloud data is (
Figure 830323DEST_PATH_IMAGE003
Figure 439158DEST_PATH_IMAGE004
,(
Figure 612651DEST_PATH_IMAGE005
) On the same circle, the equation is:
Figure 685649DEST_PATH_IMAGE006
wherein
Figure 653605DEST_PATH_IMAGE007
Is the radius of the circle, and the radius of the circle,
Figure 749737DEST_PATH_IMAGE008
is a point (
Figure 461341DEST_PATH_IMAGE005
) The central angle of the position is determined according to
Figure 388846DEST_PATH_IMAGE005
) Solution to the problem
Figure 527703DEST_PATH_IMAGE007
The specific solving method comprises the following steps:
the following equation:
wherein,
Figure 360847DEST_PATH_IMAGE010
Figure 718196DEST_PATH_IMAGE012
the designed value of the radius of the circle;
is a point (
Figure 842327DEST_PATH_IMAGE005
) The initial value of the central angle of the position is defined as positive clockwise from the X-axis direction,
Figure 744424DEST_PATH_IMAGE014
Figure 225084DEST_PATH_IMAGE015
wherein:
Figure 517525DEST_PATH_IMAGE016
Figure 374622DEST_PATH_IMAGE017
Figure 134155DEST_PATH_IMAGE018
Figure 785717DEST_PATH_IMAGE019
Figure 831033DEST_PATH_IMAGE020
wherein
Figure 226242DEST_PATH_IMAGE021
Representation matrixThe transposition operation of (1);
solving the equation to obtainOptimum value of (2)
Figure 192427DEST_PATH_IMAGE023
At this time, the process of the present invention,
Figure 453644DEST_PATH_IMAGE024
the error between the actual radius value and the designed radius value of the roller is obtained.
2. A method for precision on-line inspection of roller geometry according to claim 1, further comprising the steps of:
according to
Figure 115887DEST_PATH_IMAGE026
Figure 932533DEST_PATH_IMAGE004
The following can be obtained:
Figure 669545DEST_PATH_IMAGE027
wherein:
Figure 622774DEST_PATH_IMAGE029
indicates a point on a certain height plane (corresponding to point:)
Figure 661138DEST_PATH_IMAGE030
) Radius error of (2 [ ], ] [, ]]Represents a summation;
according to
Figure 201840DEST_PATH_IMAGE031
Figure 845311DEST_PATH_IMAGE032
And judging whether the bottom size of the roller is qualified or not according to the error requirement.
3. A method for precision on-line inspection of roller geometry according to claim 1, further comprising the steps of:
for any height surface
Figure 971716DEST_PATH_IMAGE035
Detecting the geometric size of the roller, and extracting the height surfacePoint cloud data of upper roller (b)
Figure 50531DEST_PATH_IMAGE036
Figure 548508DEST_PATH_IMAGE038
Judging the height surface of the roller according to the error requirement
Figure DEST_PATH_IMAGE039
And if the geometric dimension is qualified, the specific algorithm is the same as that in step 6.
CN 201110192649 2011-07-11 2011-07-11 Method for precisely measuring roller geometric dimension on line Expired - Fee Related CN102288115B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103886593A (en) * 2014-03-07 2014-06-25 华侨大学 Method for detecting hook face circular hole based on three-dimensional point cloud
CN108458659A (en) * 2018-05-03 2018-08-28 华中科技大学无锡研究院 A kind of blade contactless detection device and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4510866A (en) * 1981-12-17 1985-04-16 Tokyo Shibaura Denki Kabushiki Kaisha Apparatus for measuring the area of image portion of image-bearing member
WO1992022784A1 (en) * 1991-06-13 1992-12-23 Prüftechnik Dieter Busch AG Process and device for determining the centre-line of a cuvrature
CN1566900A (en) * 2003-06-11 2005-01-19 北京航空航天大学 Vision measuring method for spaced round geometrical parameters
CN101261115A (en) * 2008-04-24 2008-09-10 吉林大学 Spatial circular geometric parameter binocular stereo vision measurement method
CN101799275A (en) * 2010-03-23 2010-08-11 上海理工大学 Ultra-precision online measuring method of diameter of bearing ball

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4510866A (en) * 1981-12-17 1985-04-16 Tokyo Shibaura Denki Kabushiki Kaisha Apparatus for measuring the area of image portion of image-bearing member
WO1992022784A1 (en) * 1991-06-13 1992-12-23 Prüftechnik Dieter Busch AG Process and device for determining the centre-line of a cuvrature
CN1566900A (en) * 2003-06-11 2005-01-19 北京航空航天大学 Vision measuring method for spaced round geometrical parameters
CN101261115A (en) * 2008-04-24 2008-09-10 吉林大学 Spatial circular geometric parameter binocular stereo vision measurement method
CN101799275A (en) * 2010-03-23 2010-08-11 上海理工大学 Ultra-precision online measuring method of diameter of bearing ball

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103886593A (en) * 2014-03-07 2014-06-25 华侨大学 Method for detecting hook face circular hole based on three-dimensional point cloud
CN103886593B (en) * 2014-03-07 2016-08-17 华侨大学 A kind of based on three-dimensional point cloud curved surface circular hole detection method
CN108458659A (en) * 2018-05-03 2018-08-28 华中科技大学无锡研究院 A kind of blade contactless detection device and method

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Address after: No. 162 Renmin South Road, Chengxiang Town, Suzhou City, Jiangsu, Taicang

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