Rapid sorting and inspecting system for plastic gears in production site

Jia-yi ZHOU; Hao-xuan NAN; Rui LI; Ai-jun TONG

doi:10.37188/OPE.20202809.2017

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Rapid sorting and inspecting system for plastic gears in production site

Micro/Nano Technology and Fine Mechanics | 更新时间：2020-09-28

- Rapid sorting and inspecting system for plastic gears in production site
- Optics and Precision Engineering Vol. 28, Issue 9, Pages: 2017-2026(2020)
- 作者机构：
  
  1.北京工业大学机械工程与应用电子技术学院北京市精密测控技术与仪器工程技术研究中心, 北京 100124
  2.东莞市星火齿轮有限公司, 广东东莞 523723
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20202809.2017
  CLC： TH132.41
- Received：02 January 2020，
  
  Revised：13 March 2020，
  
  Accepted：13 March 2020，
  
  Published：25 September 2020
- 稿件说明：
移动端阅览
Jia-yi ZHOU, Hao-xuan NAN, Rui LI, et al. Rapid sorting and inspecting system for plastic gears in production site[J]. Optics and precision engineering, 2020, 28(9): 2017-2026.
DOI：

Jia-yi ZHOU, Hao-xuan NAN, Rui LI, et al. Rapid sorting and inspecting system for plastic gears in production site[J]. Optics and precision engineering, 2020, 28(9): 2017-2026. DOI： 10.37188/OPE.20202809.2017.

摘要

注塑齿轮生产效率高、批量大，而传统的人工检测效率低、精度差，为确保产品质量和生产效率，研发了一种面向生产现场的注塑齿轮快速分选检测系统。该系统耦合在生产线上，利用传送带上料、玻璃转盘传送、气动装置分选；利用工业相机采集被测齿轮图像，采用机器视觉的方法测量齿顶圆直径、中孔直径、同心度等基本参数，并与其公差范围进行对比，判断产品质量；通过图像分割、边缘提取、特征提取、缺陷判别等方法，对缺齿、黑点、披锋等表面缺陷进行检测；最后，该系统根据检测结果进行良次品分选，具有快速、在线、自动化、非接触等特点。试验结果表明，该系统测量重复性≤0.005 mm，检测速度大于150个/min，缺陷判别及分选功能准确无误，且长时间运行稳定。该系统可以满足注塑齿轮生产现场大批量、高效率、高可靠的分选检测需求。

Abstract

The production efficiency of plastic gears is high

and their batches are large; while the traditional manual inspection is low and the accuracy is poor. To ensure product quality and production efficiency

a rapid sorting and inspection system for plastic gears was developed. The system was combined with a production line and used a conveyor belt for loading

a glass rotary for transmission

and a pneumatic device for sorting. Plastic gear images were captured using an industrial camera

and basic parameters such as the tip diameter

the hole diameter

and the concentricity were measured by a machine vision method; the tolerance ranges were compared

in order to judge the product quality. By using algorithms such as image segmentation

edge extraction

feature extraction

and defect identification

surface defects such as missing teeth

black spots

and burr were inspected. Finally

the system separated good and defective products according to the test results. The system could carry out fast

online

automatic

and non-contact separation and inspection. The test results showed that the measurement repeatability of the system was less than 0.005 mm

the inspection speed was greater than 150 piece/min

the defect identification and sorting functions were accurate

and the system could run stably for a long time. Hence

the proposed system can meet the requirements of large-scale

high-efficiency

and high-reliability sorting and inspection at a plastic gear production site.

关键词

Keywords

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