The non-roundness error of the processing of bearing inner and outer rings has a vital impact on the performance and service life of the bearing. Accurate measurement technology and effective correction process are the key to ensure the high-quality operation of the bearing.
First of all, there are various non-roundness error measurement technologies. Traditional measurement methods include mechanical comparison method, which uses tools such as micrometer and dial indicator to determine the non-roundness by measuring the diameter difference at different angles. However, this method is inefficient and has limited accuracy. With the development of science and technology, optical measurement technology has been widely used, such as laser interferometer, which can measure the microscopic morphology of the surface of the processing of bearing inner and outer rings with extremely high accuracy, and accurately calculate the non-roundness error value through the change of interference fringes of reflected light. In addition, pneumatic measuring instrument is also one of the commonly used means. It detects the shape of the processing of bearing inner and outer rings based on the relationship between gas flow and gap size. It has the advantages of fast measurement speed and non-contact measurement, and can quickly obtain non-roundness data without damaging the workpiece surface.
Secondly, in terms of correction process, select the appropriate method according to the size of the non-roundness error and the specific requirements of the bearing. For smaller non-roundness errors, grinding process can be used for correction. By precisely controlling the rotation speed, feed rate and grinding depth of the grinding wheel, the high points of the processing of bearing inner and outer rings are ground, the non-circularity error is gradually reduced, and the surface tends to be round. During the grinding process, it is necessary to monitor the shape changes of the workpiece in real time so as to adjust the grinding parameters in time. For larger non-circularity errors, it may be necessary to perform rough turning first to remove most of the excess, and then perform fine grinding. For example, when manufacturing large processing of bearing inner and outer rings, if the non-circularity error of the blank is large, first use a CNC lathe for turning to efficiently reduce the error amount, and then use a high-precision grinder for final precision finishing to ensure that the roundness of the processing of bearing inner and outer rings meets strict standards.
Furthermore, modern advanced correction processes also include the use of CNC technology and adaptive control. The CNC machining center can automatically generate a correction program based on the measured non-circularity error data, accurately control the tool path and processing parameters, and realize an automated correction process. Adaptive control technology can sense the shape changes of the workpiece in real time during the machining process, automatically adjust the machining parameters, and ensure the stability and accuracy of the correction process. For example, when the grinding amount changes due to local hardness changes during grinding, the adaptive control system can adjust the grinding wheel feed speed in time to ensure that the non-roundness correction of the entire processing of bearing inner and outer rings is uniform and consistent.
Finally, both the measurement technology and the correction process require strict quality control and verification. After measurement, the data should be analyzed and processed to ensure the accuracy and reliability of the measurement results. After the correction is completed, it is necessary to measure again to verify whether the non-roundness error meets the design requirements. Only through precise measurement and effective correction can the high quality of the processing of bearing inner and outer rings be guaranteed, thereby improving the operating performance and reliability of the entire bearing in mechanical equipment, reducing equipment failures and maintenance costs, and improving production efficiency and product quality.
