MODELING AND OPTIMIZATION OF GRINDING PROCESSES

The paper describes different methods for modelling and optimization o f grinding processes. First the process and product quality characteri zing quantities have to be measured. Afterwards different model types, e.g. physical-empirical basic grinding models as well as empirical pr ocess models based on neural networks, fuzzy set theory and standard m ultiple regression methods, are discussed for an off-line process conc eptualization and optimization using a genetic algorithm. The assessme nt of grinding process :results, which build the individuals in the ge netic algorithm's population, is carried out using a target tree metho d. The methods presented are integrated into an existing grinding info rmation system, which is part of a three control loop system for quali ty assurance.