大型齿轮磨损智能检测仿真分析与研究

发布时间：2018-11-28 11:53

【摘要】：本论文针对当前大型齿轮的制造费用较高、检测设备费用较昂贵等提出了一种新的大齿轮磨损的检测方法。该论文的研究方法是首先推导出渐开线直齿轮的测量坐标方程，将整个坐标系统一。通过有限元软件分析出齿轮的最大受力位置和最大的变形位置，找出齿轮最容易磨损的位置，然后在Solidworks软件中重建齿轮模型。将磨损区域等分，在齿轮的磨损区域计算出压力角的变化范围，将各个压力角的值带入到推导出的渐开线方程。将计算出的数据和检测到的数据导入到VB程序中，，通过VB程序实现差值的运算。最后将得出的差值导入到Matlab软件中，得出齿轮磨损的二维磨损曲线和三维磨损曲面，为后续的智能补焊做出了数据依据。这种方法在理论上简单易行，但是在实现过程中的两个重点分别是检测时候的定位选取以及传感器的选择。在齿轮检测定位的时候本论文从数学角度出发，根据数控机床工作台的工作原理设计出了齿轮磨损检测的定位机构；在传感器的选择上，考虑到传感器的体积和传感器的检测精度，该论文选择了体积较小的激光传感器，同时该激光传感器被携带在设计出的检测机构上以实现数据的采集。该论文共采集了两组数据，第一组数据是32组，第二组数据是63组。这两组数据的采集是为了检验一下在最后的误差计算中采集点的数量和计算误差的关系，通过最后的两组数据误差值来说明该种方法的可行性。
[Abstract]:In this paper, a new method for detecting the wear of large gears is proposed in view of the high cost of manufacturing and the high cost of detecting equipment. The research method of this paper is to derive the measuring coordinate equation of involute spur gear and unify the whole coordinate system. The maximum force position and the maximum deformation position of gear are analyzed by finite element software, and the position of gear wear is found out, and then the gear model is reconstructed in Solidworks software. The range of pressure angle is calculated in the wear region of gear, and the value of each pressure angle is brought into the involute equation. The calculated data and the detected data are imported into the VB program, and the difference operation is realized by the VB program. Finally, the difference value is imported into Matlab software, and the wear curve and 3D wear surface of gear wear are obtained, which makes the data basis for the subsequent intelligent repair welding. This method is simple and feasible in theory, but in the process of implementation, the two emphases are the location selection of detection time and the selection of sensor. From the point of view of mathematics, according to the working principle of the worktable of NC machine tool, the gear wear detection positioning mechanism is designed in this paper. In the selection of the sensor, considering the volume of the sensor and the detection accuracy of the sensor, the laser sensor with small volume is selected in this paper. At the same time, the laser sensor is carried on the designed detection mechanism to achieve data acquisition. In this paper, two groups of data were collected, the first group was 32 groups and the second group was 63 groups. The purpose of these two groups of data acquisition is to test the relationship between the number of points collected in the final error calculation and the calculation error. The feasibility of this method is illustrated by the last two sets of data error values.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH132.41;TH117.1

【共引文献】