Remote grinding database management system of user-foundation-process-knowledge progressive structure and efficient low-consumption intelligent grinding method

Abstract

The invention discloses a remote grinding database management system of a user-foundation-process-knowledge progressive structure and an efficient low-consumption intelligent grinding method, and belongs to the field of intelligent manufacturing. The invention provides a grinding process knowledge acquisition and intelligent regulation and control processing method based on a monitoring power signal in a grinding process, aiming at solving the problem of automatic searching of a flexible optimal processing scheme urgently needing to be solved by a data-driven intelligent grinding technology. According to the method, efficient management of users, foundations, processes and knowledge data of the whole grinding industry chain is integrated, remote control from an automatic production monitoring system to a workshop and one-to-N network resource sharing can be achieved, the intelligent and flexible production capacity of grinding machining is enhanced, and the core competitiveness of grinding machining products is improved.

Description

technical field [0001] The invention relates to a remote grinding database management system with a user-basic-process-knowledge progressive structure and an intelligent grinding method with high efficiency and low consumption, especially a real-time adjustment of grinding wheel dressing strategy and grinding process based on the monitoring data of the grinding process. An intelligent processing method for process parameters belongs to the field of intelligent manufacturing. Background technique [0002] Grinding technology is one of the most widely used processing methods in the field of precision and ultra-precision machining, accounting for about 70%. However, due to the uneven wear of a large number of irregular abrasive particles on the surface of the abrasive tool, the large negative rake angle and the arc radius of the cutting edge in the contact between the abrasive tool and the workpiece surface, the material removal mechanism in the grinding process is relatively c...

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Problems solved by technology

Although the development of the cutting database can provide reference for the establishment of the grinding database, there are still the following problems in the current research and development of the cutting and grinding database: (1) The existing grinding database is basically based on the statistics and management of production and processing experience. Although some cutting databases carry out reasoning and calculation of cutting process knowledge through cutting force simulation data or user-optimized experience optimization models, the simulation model or empirical optimization model cannot truly reflect the dynamic changes of the actual machining process. Moreover, based on machining process experience and simulation The data management system cannot flexibly optimize the grinding process according to the dynamic changes in the grinding process, resulting in high energy consumption, low efficiency, and frequent grinding burns; (2) Realize user data, equipment data, process Dynamic data and process knowledge data management, with a large amount of data information and diverse structures. If the data is not classified, it cannot be processed uniformly, and application and later update and maintenance are difficult; (3) the existing processing database is based on local data management, which cannot realize process Remote control of data resources and network resource sharing service

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