Research On Error Modeling And Compensation Of General Axisymmetric Body Measuring Instrument

As a kind of important mechanical parts,rotational parts has an important position in the field of mechanical manufacturing,such as the cylinder liner of the automobile engine.With the rapid development of modern manufacturing industry,manual measurement method is difficult to keep up with the production rate of the rotational parts,and gradually being replaced by the special measuring equipment.Coordinate Measuring Machine(CCM),as a kind of universal and high measuring system,is widely used in the measurement of the rotational parts.The dynamic error caused by the deformation of body and the deflection of the air bearing guide joint couldn't be ignored as the measurement efficiency and accuracy are improved.Separate compensation of geometric error has been very difficult to meet the requirements of measurement accuracy,the global error of measure machine should be analyzed and compensated.In this paper,the error source was analyzed based on the special structure of General Axisymmetric Body Measuring Instrument(GABMI)and the theory of the error analysis.The error modeling and compensation was deeply studied.The main work and contents of this paper are as follows:1)Studied the geometric error of the measuring instrument.The pseudo-rigid-body model of GABMI was established,and the error calibration of GABMI was completed by laser interferometer.2)Studied the dynamic characteristics of GABMI.The mechanical analysis and simulation of GABMI was set up to determine additional errors caused by the inertia force.The dynamic error of GABMI was measured by laser interferometer,and the influence of the measurement condition on the dynamic error was studied.The dynamic error compensation method based on fuzzy neural network was proposed.3)Studied the error of the touch-trigger probe,and deeply analyzed the force of the probe in the detection process.The functional diameter of the probe was introduced to describe the probe error.On the basis of the static error compensation,the dynamic error was compensated by using the fuzzy neural network.