Genetic Programming for Grinding Surface Roughness Modelling
Grinding process is commonly selected for finishing operation because grinding has high accuracy and surface finish with a relatively high material removal rate. One of the most common issues in grinding process planning is to determine grinding condition for required surface roughness. This paper presents a feasibility study on grinding surface roughness modelling using genetic programming (GP) method. It has successfully demonstrated that GP could provide reliable prediction and has advantages over other established methods in terms of dealing with missing data during modelling process.
The purpose of this paper is to present some results of the experiments of type simulation embedded in optimization (on model type Systems Dynamics). They allow, not only, the so called, direct optimization, but extended sensitivity analysis of parameters and structures too. Authors have used languages Cosmic and Cosmos to support the learning process in (about) modelled dynamical system.