人性化端銑刀與鑽頭研磨資料庫系統開發

The study of humanistic end-mill and drill database system for 5-axis tool grinding

陳麒翔(Chi-Hsiang Chen)

指導教授 ： 李炳寅

國立虎尾科技大學/工程學院/機械與機電工程研究所/碩士(2008年)

摘要

由於現代切削技術之快速發展，對於各種類型之高精度刀具要求相當地迫切需要，而刀具之刀刃研磨是刀具製造最後且最重要的過程，也是決定刀具幾何形狀、切削性能、刀刃磨耗與壽命之關鍵。目前主流的刀具研磨CAD/CAM軟體大部份採用模組化介面，然而，由於它並非是一種開放式的架構，所以不適合設計者去開發新的刀具。因此本論文將應用鼎維公司所生產的CNC五軸工具磨床，並配合開放式刀具開發CAM系統，規劃與分析端銑刀、鉸刀與鑽頭的研磨製程，建立此三種切削刀具的資料庫系統，依據刀具之特徵合計共有4802筆資料建立於關聯式資料庫中。並且分析研磨性能與進退刀研磨製程以運用在刀具設計以及刀具離隙面粗糙度的預測上。在資料庫系統的搜尋部分，利用SQL語法撰寫搜尋刀具的演算法，並以C++ Builder語言程式來開發系統的人機介面。由實驗結果顯示，對於刀具整體加工時間的效率可以提升2~10%；對於表面粗糙度的預測系統而言，其預測誤差值皆低於7%。此外，系統穩定度測試結果顯示，在各種刀具的搜尋模式下，皆能正確的搜尋與開啟刀具資料。因此，本論文所成功開發的人性化資料庫系統相當具有彈性與便利性，可以較為容易開發新刀具，而整體加工時間也可以改善並提升產品生產力。

關鍵字

研磨製程 ； 關聯式資料庫 ； 表面粗糙度 ； 搜尋系統

並列摘要

Due to the rapid development of cutting technology in recent years, various types of sophisticated cutting tools are required in the market. The grinding for cutting edges of tools is known as the most important and the final procedure of manufacturing. It is also a critical issue for determining geometry shapes, cutting performance, wear on the cutting edge, and tool life. The mainstream of CAD/CAM software for tool grinding is the modular-based interface. However, it is not suitable for designers to develop new cutting tools owing to it is not an open structure. This thesis aims at using a five-axis CNC tool grinder and open-based software to plan and analyze the grinding processes for end-mills, reamers, and drills. We also establish the database system for these three kinds of tools. A total of 4802 data were established in the relational database according to the characteristics of tools (e.g. types, diameter, radius, etc). The efficiency of the performance of grinding, and the grinding processes of approach and retract was analyzed for tool design and the prediction of the surface roughness of relief faces. For the searching system of the tool database, the SQL syntax was utilized to write the searching algorithms, and the human machine interfaces of the system were developed by C++ Builder. The experimental results show that the efficiency is improved approximately up to 2~10% by the overall machining time, and the error is lower than 7% for the surface roughness prediction system. Furthermore, for the stability testing result of the system, the tool searching system can find out the correct tool data for these three cutting tools. Therefore, the proposed system shows that it is flexible and convenient for one to design new cutting tools, and the overall machining time can be saved to improve the company productivity.

並列關鍵字

Grinding process ； Relational database ； Surface roughness ； Searching system

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