Adaptive Profile Gear Grinding Boosts Productivity of this Operation on the CNC Machine Tools

Abstract

The paper is devoted to solving an important scientific and technical problem of increasing the productivity of defect-free profile gear grinding on CNC machines through computer subsystems of grinding operation automated design, monitoring, and grinding diagnostics. The corresponding methodology and theoretical preconditions for these computer subsystems developments are provided to solve the following scientific problem. Despite of the increase in the productivity of gear grinding on CNC machines, a number of attendant factors have appeared that limit the gear grinding productivity: the time of the grinding stock measuring in the tooth spaces which is comparable with the time of gear grinding, the lack of methods for accounting the information about the grinding stock, etc. In this connection, the objective of the paper is to indicate the ways of increasing the productivity of the profile defect-free gear grinding on CNC machines. For this purpose, a set of purposeful methods and means of innovative adaptive gear grinding technology has been developed. For example, a method for restoring information about the grinding stock is proposed with a limited number of measurements to ensure, for example, that the feed can be switched from accelerated one to working and vice versa. Mathematical models have been developed to convert the grinding stock uncertainty into the deterministic value of the grinding wheel retraction from the workpiece, etc.