共查询到18条相似文献,搜索用时 115 毫秒
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以HMC500主轴系统的特有结构为研究对象,建立主轴系统的温度场模型。实验结果表明,主轴系统热变形与温度有较好的对应关系,主轴发热量增大引起主轴变形增大,而主轴轴承的摩擦生热是主轴系统热量产生的重要原因,主轴系统的最高温升位于前轴承内圈处。进一步仿真计算主轴系统的热变形,通过对主轴箱体散热凹面的优化设计,可有效降低主轴系统温升,使主轴系统的热变形达到最小,从而使关键部位变形小于10 μm,满足机床的设计要求。在优化后的主轴箱系统上布置温度传感器和位移传感器,在8 000 r/min转速下进行实时测量,将实验结果与ANSYS的模拟结果进行对比,验证了优化结构的可行性与可靠性。 相似文献
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基于材料热特性的轴承预紧力自调节设计方法 总被引:3,自引:0,他引:3
采用滚动轴承支承的机床主轴在转速上升过程中摩擦发热产生温度变化,引起轴承预紧力变化限制了机床转速。提出材料热特性轴承预紧力自动调节方法,该方法是根据温度变化时金属材料受热伸长的特性,通过分析机床主轴转速上升时摩擦功率损耗产生的热量,建立主轴温度场模型。采用有限元计算主轴工作温升引起的热变形,按照两种金属材料受热伸长的差值,建立温差与位移关系的数学模型,并求解应用双金属材料结构设计参数。仿真计算结果表明,通过使用轴承预紧力自调节方法,可以有效地扩大机床转速范围,应用在加工中心的主轴上,主轴最高转速由2.5 kr/min 提高到了3 kr/min,取得了明显的效果。 相似文献
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为研究数控机床热变形规律,实现数控机床误差在机实时补偿,进行数控机床主轴热变形理论及试验分析,结果表明,数控机床主轴热变形与主轴温变在距热源约1/3位置存在近似线性关系,即主轴热变形存在伪滞后现象,这一结果为数控机床测温点优化布置及热误差鲁棒建模提供理论依据。为验证机床热变形伪滞后现象,对VM850加工中心主轴热漂移误差在机实时检测并建模,通过自主研发数控机床误差在线实时补偿系统对主轴热漂移误差进行实时补偿,经补偿,机床主轴热漂移误差减少90%以上,有效提高了数控机床主轴精度。 相似文献
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龙门数控机床主轴热误差及其改善措施 总被引:3,自引:0,他引:3
依据ISO和ASME标准建立龙门数控(Numerical control,NC)机床热误差测试条件,通过主轴恒转速和变转速热误差试验分析主轴箱温度场分布及其对主轴热误差的影响趋势。建立龙门机床误差元素模型,分析影响机床各坐标轴加工精度的主轴热误差分量。研究发现,主轴热误差和主轴箱温度存在单调对应关系,温度对主轴轴向的热伸长误差的影响要远大于主轴径向的热漂移误差,但温度变化相对各坐标变形存在热延迟和热惯性等特性。对主轴径向精度影响最大的热误差分量是由机床生热产生的同方向的偏移误差和与之垂直的偏转误差;对轴向精度影响最大的则是轴向的偏移误差。针对热误差特点和分布规律,提出结构优化、热平衡、误差补偿建模等3种减小热误差的措施,并对其各自优点进行了分析。 相似文献
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Baomin Wang Xuesong Mei Zaixin Wu Fei Zhu 《The International Journal of Advanced Manufacturing Technology》2015,78(5-8):1141-1146
This paper proposes a new modeling methodology to predict thermal error in motorized spindles. The dynamic model predicts thermal errors that are caused by deformation in the motorized spindle structure due to heat flow from internal sources. These thermally induced errors become more serious and dominate the total error when it comes to high speed and high precision. If these thermal errors can be predicted, they can be compensated in real time. In this paper, a new thermal errors model (ARX model) is presented which capitalizes on the notion that the motorized spindle thermoelastic system has very complicated dynamics. Furthermore, the selection principle of temperature key points, which are indispensable for building a robust thermal error model, is provided using the thermal error sensitivity technology. At last, an experiment on the thermal error in a motorized spindle is conducted to verify the effectiveness of the ARX model, the experimental results show that above 80 % of axial thermal errors are predicted for a variety of motorized spindle cycles and the dynamic model has good accuracy and robustness. 相似文献
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Shuanggang Huang Pingfa Feng Chao Xu Yuan Ma Jian Ye Kai Zhou 《The International Journal of Advanced Manufacturing Technology》2018,97(5-8):1733-1743
Thermal error modeling of the spindle plays an important role in predicting thermal deformation and improving machining precision. Even though the modeling method using temperature as the input variable is widely applied, it is less effective due to severe loss of thermal information and pseudo-hysteresis between temperature and thermal deformation. This paper presents a novel modeling method considering heat quantity as the input variable with theoretical analysis and experimental validation. Firstly, the change of thermal state of a metal part being heated is discussed to reveal the essence of the relationship between heat, thermal deformation and temperature, and the theoretical basis of the modeling method proposed in this paper is elaborated. Subsequently, the relationship between thermal deformation and heat quantity is further studied through modeling the thermal deformations of stretching bar and bending beam using heat quantity as the independent variable, and the stretching model is verified based on finite element method. Then, the thermal error models of the spindle are developed with the heat elastic mechanics theory and the lumped heat capacity method. In succession, the parameter identification of thermal error models is carried out experimentally using the least square method. The average fitting accuracy of these models is up to 91.3%, which verifies the good accuracy and robustness of the models. In addition, these models are of good prediction capability. The proposed modeling method deepens the research of thermal errors and will help to promote the application of relevant research results in the actual production. 相似文献
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Modified Elman network for thermal deformation compensation modeling in machine tools 总被引:7,自引:7,他引:0
Zhiyong Yang Minglu Sun Weiqian Li Wenyong Liang 《The International Journal of Advanced Manufacturing Technology》2011,54(5-8):669-676
Thermal deformation is one of the most significant causes of machining errors in machine tools. One effective method is to build a compensation system to offset the thermal errors. Therefore, an accurate model is the key part of the compensation system. This study proposed a modified Elman network (EN) to improve the prediction accuracy of the compensation model in machine tools. And the improved EN can be regarded as a feed-forward neural network with feedback from hidden layer and output layer as an additional set of inputs. The structure of this network determines its dynamic characteristic with memory function. On the other hand, thermal deformation of the spindle contributes the largest part of total thermal errors in precision machining. Then a precise finite element model of machine tool spindle was established. And a new method for calculating the heat transfer convection coefficient on the surface of the spindle was proposed in this paper. The improved EN was used to map the nonlinear relationship between temperature field and thermal errors of the spindle. At last, a verification experiment was implemented on a CNC center and some satisfying results were achieved. 相似文献
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针对CMK系列小型数控车床运行过程中普遍存在的主轴"翘头"问题,试图通过热变形分析与实验辨识相结合的方法找出上述问题的成因,并给出相应的优化方案,因此,建立了基于有限元法的机床热态特性分析模型来解析整机温度场,同时,通过热应力耦合分析预测了机床各部分的热变形以及主轴的热倾斜,随后,利用红外热成像仪测量、验证了整机温度分布,通过特别设计的六个测点三个方向的热变形实验辨识了主轴系统的热倾斜特性,最后,以降低主轴热倾斜角为目标,给出了提升机床热态性能的两种方案,热优化设计和采用人造花岗岩床身。 相似文献