本文選題：對(duì)流換熱系數(shù) + 主軸溫度��； 參考：《儀器儀表學(xué)報(bào)》2015年12期

【摘要】：機(jī)床主軸溫度場(chǎng)分析是一種減少主軸熱誤差、提高主軸精度及其穩(wěn)定性的重要方法。作為熱分析邊界條件中關(guān)鍵參數(shù)的對(duì)流換熱系數(shù),其值大小反映了主軸零部件表面與空氣對(duì)流換熱的強(qiáng)度,對(duì)主軸有限元溫度場(chǎng)分析結(jié)果的影響最為明顯。以170CP06-DM機(jī)械主軸為研究對(duì)象,深入研究主軸對(duì)流換熱系數(shù)的影響因素,提出一種基于人工蜂群優(yōu)化算法的機(jī)床主軸換熱系數(shù)優(yōu)化算法。實(shí)驗(yàn)表明,提出的蜂群算法能夠根據(jù)環(huán)境溫度和轉(zhuǎn)速而自動(dòng)尋找優(yōu)化的主軸換熱系數(shù)。與傳統(tǒng)的經(jīng)驗(yàn)確定對(duì)流換熱系數(shù)方法相比,主軸前軸承處的計(jì)算最大誤差、平均誤差、均方差分別提高了大約4.54℃、2.87℃、1.65℃,主軸后軸承處的計(jì)算最大誤差、平均誤差、均方差分別提高了大約7.12℃、3.49℃、2.41℃。
[Abstract]:The temperature field analysis of machine tool spindle is an important method to reduce the thermal error of spindle and improve the accuracy and stability of spindle. The convection heat transfer coefficient, which is the key parameter in the boundary condition of thermal analysis, reflects the intensity of convection heat transfer between the surface of spindle parts and air, and has the most obvious influence on the temperature field analysis results of spindle finite element method. Taking the 170CP06-DM mechanical spindle as the research object, the factors influencing the convection heat transfer coefficient of the spindle are studied in depth, and an optimization algorithm of the spindle heat transfer coefficient of machine tool based on artificial bee colony optimization algorithm is proposed. The experimental results show that the proposed algorithm can automatically find the optimized heat transfer coefficient of the spindle according to the ambient temperature and rotation speed. Compared with the traditional method of determining convection heat transfer coefficient, the maximum error, mean error and mean deviation of the front bearing are increased by about 4.54 鈩，

本文編號(hào)：2088116