Design Method of Axial Clearance Adjustment Gasket for Mass Production Components Based on Big Data Application

With the in-depth development of Internet information technology, the advent of the big data era is changing the development situation in all fields of our society. In order to ensure that the axial assembly clearance of mass production parts meets the technical requirements and at the same time improve the assembly efficiency, shorten the production cycle and reduce the production cost, this paper, under the guidance of the general principle of magnifying the manufacturing tolerance of parts and reducing the difficulty of machining, takes the axial clearance requirement of a rolling bearing of a reducer as the specific research object, and in accordance with the effectiveness analysis of big data and the application of assembly dimension chain theory and probability theory, analyzes and calculates the error distribution range and distribution law. On this basis, the axial clearance adjustment gasket is designed comprehensively and systematically according to three different design ideas, and the application characteristics of the three design methods are analyzed and compared in detail. The research shows that under the condition of mass production combined with big data, the system design of adjusting gasket can be brought into the process of part design, which can make the gap adjustment method more diversified. At the same time, it can also give more scientific and reasonable guidance to adjust the gasket reserve, so as to change the assembly work from passive to active, and realize the improvement of assembly quality and benefit.