Numerical Studies on the Effectiveness of Optimization Algorithms to Identify the Parameters of Machine Tool Hybrid Body Structural Component Model

Designing machine tools is an extremely complicated process, requiring thorough knowledge from the constructors in terms of statics, dynamics, contact mechanics, etc. Therefore, it is necessary to support this process by analyzing their models. However, only on the basis of experimentally identified models, reliable information about the object can be obtained. Presented paper contains numerical studies of the efficiency of optimization algorithms to identify parameters of FEM models. Numerical studies were carried out for the FEM model of the hybrid machine tool body structural component, consisting of steel and polymer concrete. In order to identify the parameters of the model, an interface was developed to enable data exchange between the FEM preprocessor of the Nastran FX and Matlab to cooperate. Numerical studies were then conducted using a developed identification algorithm based on accelerance functions, developed on the basis of reduced order FEM model and introduced correction parameters.