التفاصيل البيبلوغرافية
العنوان: |
Method of inclined hole axis adjustment based on geometric optimization and minimum zone theory |
المؤلفون: |
Zhang, He, Yan, Shixiong, Wang, Li, Sun, Chenghui, Cui, Jiwen |
المساهمون: |
National Natural Science Foundation of China |
المصدر: |
Measurement Science and Technology ; volume 35, issue 6, page 065021 ; ISSN 0957-0233 1361-6501 |
بيانات النشر: |
IOP Publishing |
سنة النشر: |
2024 |
الوصف: |
The machining accuracy of the axis position and spatial angle of the array microholes with high aspect ratio on the components of the high-end equipment manufacturing industry will directly affect the performance of the whole machine. A method of tilt hole axis adjustment is proposed in this paper. It utilizes geometric optimization and minimum zone theory to measure the position and spatial angle of the hole axis. This addresses the slight angle error that occurs after correcting the inclined hole axis using visual techniques. Based on the minimum zone criterion for the cylindricity error, the evaluation model is re-established through the inner and the outer loop and spatial projection, which includes roundness evaluation of the projection curve by an improved particle swarm optimization (PSO) algorithm and elliptic fitting by a geometric parameter method, so as to obtain the optimal solution of the axis vector and spatial angle. Experimental comparison with the theory above shows that the precision of the method proposed is better than that of the least squares method and the traditional PSO algorithm based on the minimum zone criterion. The research results indicate that the precision of the tilt angle is better than 0.03°, and simultaneously the rotation angle is better than 0.1° in the range of 1°. This experiment verifies the effectiveness and accuracy of the proposed method. |
نوع الوثيقة: |
article in journal/newspaper |
اللغة: |
unknown |
DOI: |
10.1088/1361-6501/ad330a |
DOI: |
10.1088/1361-6501/ad330a/pdf |
الإتاحة: |
https://doi.org/10.1088/1361-6501/ad330aTest |
حقوق: |
https://iopscience.iop.org/page/copyrightTest ; https://iopscience.iop.org/info/page/text-and-data-miningTest |
رقم الانضمام: |
edsbas.E74B4026 |
قاعدة البيانات: |
BASE |