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A Sphericity Evaluation Method Based on Spatial Orientation Shrinkage and Improved Cuckoo Search Algorithm

A technology of cuckoo search and space orientation, which is applied in the field of sphericity evaluation based on space directional contraction and improved cuckoo search algorithm, can solve the problems of high efficiency and high precision of sphericity calculation and long time-consuming process of sphericity error evaluation , complex implementation process and other issues, to achieve the effect of good global optimization performance, fast solution to difficult problems, and small amount of calculation

Active Publication Date: 2020-02-07
HARBIN INST OF TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the implementation process of these two sphericity error evaluation methods is complicated, the amount of calculation is large, and the sphericity error evaluation process takes a long time
[0006] The common problem existing in the above-mentioned prior art is that it cannot meet the requirements of high efficiency and high precision of sphericity calculation at the same time

Method used

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  • A Sphericity Evaluation Method Based on Spatial Orientation Shrinkage and Improved Cuckoo Search Algorithm
  • A Sphericity Evaluation Method Based on Spatial Orientation Shrinkage and Improved Cuckoo Search Algorithm
  • A Sphericity Evaluation Method Based on Spatial Orientation Shrinkage and Improved Cuckoo Search Algorithm

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Embodiment Construction

[0038] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] Step 1) Read the measurement data of all sampling points, and use a set of measurement data in Document 2 as the experimental data, see Table 1:

[0040] Table 1 Measuring point coordinates (unit: mm)

[0041]

[0042] Step 2) Calculate the least square center of the sphere (a 0 , b 0 , c 0 ), least squares spherical radius R 0 and the least squares sphericity S ph0 ; Among them, the least square center of the sphere (a 0 , b 0 , c 0 ) and the least squares spherical radius R 0 It is obtained by solving the following equation:

[0043]

[0044] Least squares sphericity S ph0 It is obtained by the following formula:

[0045]

[0046] The calculated least square sphere center is (0.004059, 0.003270, 0.003458), and the least square sphericity is 0.009089mm.

[0047] Step 3) Determine the search range: take the least square cent...

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Abstract

The invention discloses a sphericity evaluation method based on spatial directional contraction and an improved cuckoo search algorithm, which belongs to the technical field of precision measurement and instruments. In the method, firstly, the least square spherical center and the least square sphericity are calculated based on measured data; then, three straight lines parallel to a coordinate axis are made through the least square spherical center, points are taken at an interval of 1 / 8 of the least square sphericity on the obtained straight lines, the sphericity corresponding to each point is calculated, three points with the minimum corresponding sphericity on each straight line are found out, and the distribution range of initial solutions for spatial directional contraction is obtained; a set of initial solutions are randomly determined in the range, the improved cuckoo search algorithm is used to update the search position, an improved step size control factor is used to update the search path, and repeated iteration is carried out; and at the end of the iteration, a global optimal position and the corresponding sphericity are outputted as the evaluation result for the sphericity error. The method realizes sphericity error evaluation with high precision and high efficiency considered.

Description

technical field [0001] The invention belongs to the technical field of precision measurement and instruments, in particular to a sphericity evaluation method based on space orientation contraction and an improved cuckoo search algorithm. Background technique [0002] Ultra-precision machining technology has become the key technology of national defense industry and precision equipment manufacturing industry, and is also one of the important development directions of modern manufacturing industry. With the development of precision machining technology, the application range of high-precision spherical components is becoming wider and wider, and the precision requirements for spherical workpieces are also increasing. For spherical workpieces, the sphericity error is usually used as an important technical indicator of its processing quality. Therefore, the calculation method of sphericity error has very important theoretical significance and application value. [0003] Patent...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/11
CPCG01B21/20
Inventor 黄景志姜琳谭久彬
Owner HARBIN INST OF TECH
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