锻压技术

同步器齿套锻件漏工序检测系统

英文标题：Missing procedure detection system on synchronizer gear sleeve forgings

作者：黄飞宏李兴成王凯

分类号：TP29

出版年,卷(期):页码：2023,48(7):202-211

摘要：

同步器齿套锻件尺寸小，在加工过程中容易出现漏倒角、漏沟槽、漏铣齿等现象,需要人工检测出漏工序产品。传统的人眼识别困难且识别效率低、劳动强度大、产品成本高。设计了一套基于机器视觉的同步器齿套锻件漏工序检测系统。通过视觉检测装置，将原输送线上所拍摄的工件图像导入计算机，采用模板匹配法检测出漏工序产品，并将不合格产品进行分拣。实验结果表明：同步器齿套锻件漏工序检测系统的检测精度达到90%以上，检测机构总速度达到20 s左右。该系统能够代替人工完成对同步器齿套锻件漏工序的检测并分拣，提高了识别效率。

The size of synchronizer gear sleeve forgings is small, and it is prone to have the phenomenon of missing chamfering, missing grooves, missing milling teeth,etc during the machining process, so it is necessary to manually detect the missing procedure products. However, the traditional human eye recognition is difficult and the recognition efficiency is low, the labor intensity is high, and the product cost is high. Therefore, a missing procedure detection system for the synchronizer gear sleeve forgings based on machine vision was designed, and through the visual detection device, the workpiece image captured on the original conveying line was imported into the computer. Then, the missing procedure products were detected by the template matching method, and the unqualified products were sorted. The experimental results show that the detection accuracy of the missing procedure detection system on the synchronizer gear sleeve forgings reaches more than 90%, and the total speed of the detection mechanism reaches about 20 s per piece. Thus, the system can replace the manual work to finish the detection and sorting of the missing procedure for the synchronizer gear sleeve forgings, and improve the identification efficiency.

基金项目：

国家自然科学基金资助项目（51905235）；江苏省自然科学基金资助项目（BK20191037）；江苏理工学院研究生实践创新计划（XSJCX21_25）

作者简介：黄飞宏（1998-），男，硕士研究生 E-mail：936784552@qq.com 通信作者：李兴成（1968-），男，博士，教授 E-mail：sgylxc@163.com

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