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智能滚齿机刀具、夹具及工件识别与匹配系统的设计

esign of the identification and matching system of cutting tools, fixtures and workpieces for a smart hobbing machine

中文摘要英文摘要

为解决智能滚齿加工中刀具、夹具及工件的误用问题,本文提出了一种刀具、夹具及工件与任务配套检验的方法,并基于该方法设计了智能滚齿机刀具、夹具及工件识别与匹配系统(IMS-CFW)。通过需求分析建立了系统总体架构,并对其中的关键技术进行了研究,包括激光标刻二维条码识别技术和无线射频识别(RFID)技术相结合的刀具、夹具及工件识别方法;针对在机识别时存在的加工干涉和易碰撞等问题,提出了基于模糊自整定PID算法的夹具RFID读写头移动定位控制方法和基于RFID设备读取时间的刀杆轴和夹具轴的转动控制方法;以及刀具、夹具、工件与任务的匹配检验技术。最后,开发了识别与匹配系统,并通过案例验证了该系统能有效缩短加工准备时间和解决刀具、夹具及工件的误用问题,从而提高生产效率和加工质量,具有实际推广价值。

o solve the problem of misusing cutting tools, fixtures and workpieces in the machining process of a smart hobbing machine, a method to check the matching of cutting tool, fixture and workpiece to a machining task is proposed in this paper. Based on this method, the identification and matching system of cutting tools, fixtures and workpieces (IMS-CFW) for a smart hobbing machine is constructed. The framework of IMS-CFW is established according to practical requirements and the key technologies are studied. An identification method based on laser-marked 2D barcode and radio frequency identification (RFID) is adopted for creating electronic tags. To solve the interference and collision problems in reading electronic information automatically, here are proposed a positioning control method of RFID read-write head reading the fixture information based on fuzzy self-tuning PID algorithm and a rotating control method of cutter bar's or fixture's axis based on the time of RFID device reading information. A matching and verification technique is also proposed to use cutting tools, fixtures and workpieces correctly with a certain machining task. Finally, an IMS-CFW for a smart hobbing machine is developed. The machining experiments show that the system can solve the misuse problem, reduce preparation time and improve machining efficiency, which is practically worthy of industrial promotion.

廖磊、王淇英、张泽璇、鄢萍、周强、白雪

自动化技术、自动化技术设备机械制造工艺机电一体化

刀具识别RFID匹配检验技术模糊自整定PID算法

cutting tools identificationRFIDmatching and verification techniquefuzzyself-tuning PID algorithm

廖磊,王淇英,张泽璇,鄢萍,周强,白雪.智能滚齿机刀具、夹具及工件识别与匹配系统的设计[EB/OL].(2017-02-24)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201702-160.点此复制

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