中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2015年
8期
1078-1084
,共7页
苗恩铭%高增汉%党连春%苗继超
苗恩銘%高增漢%黨連春%苗繼超
묘은명%고증한%당련춘%묘계초
数控机床%热误差%温度敏感点%实际切削
數控機床%熱誤差%溫度敏感點%實際切削
수공궤상%열오차%온도민감점%실제절삭
CNC machine tool%thermal error%temperature-sensitive point%actual cutting
对数控机床在主轴空转和实切状态下的热误差特性进行了比对分析。利用模糊聚类和 F 统计量确定了最佳的分类及分类阈值，根据温度与热误差之间的灰色关联度确定出温度敏感点，进而建立补偿模型。对实验结果的分析表明，温度敏感点在两种状态下是动态变化的，不同状态下的补偿模型并不通用；实际生产中的热误差补偿应优选实切状态下的热误差模型。
對數控機床在主軸空轉和實切狀態下的熱誤差特性進行瞭比對分析。利用模糊聚類和 F 統計量確定瞭最佳的分類及分類閾值，根據溫度與熱誤差之間的灰色關聯度確定齣溫度敏感點，進而建立補償模型。對實驗結果的分析錶明，溫度敏感點在兩種狀態下是動態變化的，不同狀態下的補償模型併不通用；實際生產中的熱誤差補償應優選實切狀態下的熱誤差模型。
대수공궤상재주축공전화실절상태하적열오차특성진행료비대분석。이용모호취류화 F 통계량학정료최가적분류급분류역치，근거온도여열오차지간적회색관련도학정출온도민감점，진이건립보상모형。대실험결과적분석표명，온도민감점재량충상태하시동태변화적，불동상태하적보상모형병불통용；실제생산중적열오차보상응우선실절상태하적열오차모형。
Thermal errors of CNC machines were different under actual cutting and spindle idling. The methods of fuzzy clustering and F statistics were used to classify temperature variables,as well as to confirm the best threshold.Then the temperature sensitive points were selected according to grey correlation among temperature variables and thermal errors.At last,a model among temperature sen-sitive points and thermal errors was built.The results show that temperature sensitive points will be changed under two situations,the model under different situations can not be used mutually-interchan-ging.The model under actual cutting should be used prior during actual production.
