A study determining the optimal machining conditions for a 40,000 rpm ultra high speed spindle system

被引：6

作者：

Park, Seong Jin ^{[2
]}

Kim, Dong Hyeon ^{[1
]}

Lee, Choon Man ^{[1
]}

机构：

[1] Changwon Natl Univ, Dept Mech Design & Mfg Engn, Changwon Si 641773, Gyeongsangnam D, South Korea

[2] Daewon Kong Co Ltd, Res Inst, Seoul 100095, South Korea

来源：

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY | 2012年 / 36卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

Machine tool; Ultra-high-speed spindle; Optimal machining conditions; Fractional factorial design; FRACTIONAL FACTORIAL-DESIGNS; RESPONSE-SURFACE METHOD; CUTTING CONDITIONS; TAGUCHI METHOD; OPTIMIZATION; ROUGHNESS; PREDICTION; SELECTION; ERROR; MODEL;

D O I：

10.1016/j.precisioneng.2012.02.003

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This report describes an investigation for deriving optimum machining conditions for a milling process using a 40,000 rpm (DmN 2.4 million) ultra-high-speed spindle system. A two-step design of experiments is proposed to obtain the optimum machining conditions. A two-level fractional factorial design method is used to obtain some factors that affect the machining conditions in the spindle system. Then, a central composite circumscribed method, which is one of the response surface methods, is used to obtain optimal machining conditions for the spindle. Several finished milling experiments are carried out by varying the rotational speed, feed rate, depth of cut, interval of lubricating oil application, air pressure, and so on. The surface roughness, cutting force, and cutting temperature are measured, and the effects of the machining conditions are analyzed using a regression analysis method. Based on the experimental results and regression analyses, optimal machining conditions and estimation equations are obtained to improve the machinability in milling processes with the spindle. (c) 2012 Elsevier Inc. All rights reserved.

引用

页码：451 / 457

页数：7

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