Engine cylinder cover milling surface quality prediction method based on mechanism and data driving

The invention relates to an engine cylinder cover milling surface quality prediction method based on mechanism and data driving, and belongs to the technical field of automatic prediction. Comprising the following steps: determining key evaluation indexes and influence factors of the milling surface quality of the cylinder cover; process parameters and surface roughness values are collected, a milling force and thermal mechanism model based on a semi-analytical method and a heat source method is built in combination with the cylinder cover milling mechanical state, state variable data are obtained, and the state variable data are stored in a historical database after being preprocessed; a surface roughness prediction model for optimizing the SVR based on an ADE algorithm is constructed, process parameters and mechanism model output state variable data are used as data driving model input, a surface roughness value is used as output, and historical data training is utilized to obtain an SVR optimal parameter c