DYNA JOURNAL ENGINEERING

Key words:

crossbeam of machine tool, the orthogonal experimental method, grey relational analysis, Multi-objective optimization design, Finite Element Analysis (FEA), Structural Optimization, Modal Analysis, Static Analysis, Machine Tool Design, Lightweight Design, Machining Accuracy, Natural Frequency, Stress Analysis, Computer-Aided Engineering (CAE).

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

During the use of DVT series machine tools, the static and dynamic characteristics of the beam will directly affect the machining performance of the machine tool. In order to effectively improve the machining accuracy of DVT series machine tools, it is first necessary to establish a variety of three-dimensional models of beams, and use finite element analysis methods to perform static analysis and modal analysis. Using the quality of the beam, the maximum stress deformation, the maximum equivalent stress and the 1st order natural frequency as the evaluation indicators, 25 groups of schemes were determined based on the orthogonal experimental method for comparison. Through the detailed analysis results of the static and dynamic characteristics of the beam, the specific position of the beam's deformation after being stressed is determined. The simulation data of the orthogonal experimental method is processed and analyzed by grey relational analysis method. The above optimization design results show that the quality of the beam is reduced by 1251.7Kg, and the weight reduction effect is more obvious; the maximum stress is reduced by 0.7354MPa, the Deformation variable is reduced by 0.50µm, and the 1st order natural frequency is increased by 15.29Hz. The above research further optimizes the beam structure, and on this basis, gives the verification and comparison data of the static and dynamic characteristics of the optimized beam. This provides a new design idea for the optimal design of DVT series machine tools.

Key words
crossbeam of machine tool;the orthogonal experimental method;grey relational analysis;Multi-objective optimization design