銑削智能控制系統

The Design of Intelligent Control for Milling

羅尉軒(Wei-Xuan Luo)

指導教授 ： 蔡循恒

國立屏東科技大學/工學院/生物機電工程系所/碩士(2014年)

https://doi.org/10.6346/NPUST.2014.00196

摘要

摘要
本研究旨在建立銑削加工監控技術，透過自行組裝加工機臺並進行銑削加工控制，同時建立其即時監控系統。本研究主要進行加工機臺硬體組裝及線路配置，搭配可程式邏輯控制器結合三軸平臺及加工主軸進行切削加工之機臺控制，運用動力計擷取加工過程之動力訊號，並設計其人機控制介面，進行數據資料管理分析，能有效進行識別刀具磨耗情形。本機臺具有加工參數監測的功能，能透過網路通訊方式與現場人機操作介面進行連線，提供操作者獲取即時加工數據的管道，藉此建立即時監測系統。本研究平臺實驗目前先行以端銑刀進行銑削加工一平面，並擷取加工過程中各軸向受力，經由分析訊號變化判斷刀具使用磨耗情形，並透過分析結果調控加工條件，實驗最後透過量測刀具之磨耗量進行比較，探討目前建立此系統平臺功能之可行性。

關鍵字

銑削加工 ； 動力訊號 ； 識別刀具磨耗

並列摘要

Abstract
This study aims to create the milling process monitoring technology, through self-assembly processing and milling machine control, set up a real-time monitoring system. This study is mainly processing machine hardware assembly and wiring configuration, combined with a programmable logic controller platform and three-axis machining spindle with machine control ,and getting data to process force signals by using dynamometer, and to design a human machine interface by data management and analysis, then would be Identifying the tool wear effectively. This machine has been accomplished the function of monitoring and data acquisition, human machine interface could not only directly to connect to site by networking, but also to monitor remote parameters of force signals system and data acquisition, and construct the online monitoring system. Currently leading the experimental platform to end mill for milling a plane ,and getting data in machining each of axial forces. Through using of the analyzing the signal variation to tool wear situation ,and regulation of under the analysis results by machining conditions. Finally, through the experimental comparison of the amount of the tool wear, and investigate the feasibility of the platform capabilities of currently system.

並列關鍵字

Milling Process ； Force Signals ； Identifying Tool Wear

參考文獻

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