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Application of cloud computing to simulation of a heavy-duty machine tool.

Authors :
Cai, Ligang
Tian, Yang
Liu, Zhifeng
Cheng, Qiang
Xu, Jingjing
Ning, Yue
Source :
International Journal of Advanced Manufacturing Technology. Apr2016, Vol. 84 Issue 1-4, p291-303. 13p. 1 Color Photograph, 5 Diagrams, 3 Charts, 7 Graphs.
Publication Year :
2016

Abstract

Working accuracy and service life of large structural parts such as lathe beds, columns, etc. of a heavy-duty machine tool with large self-weight is directly influenced by the foundation-soil system. Therefore, simulation of the interaction of the heavy-duty machine tool and its foundation-soil system is a key technological requirement from a manufacturing perspective. However, owing to the size of the structural parts of most heavy-duty machine tools, and the complex and oversized structure of their foundation-soil system, typical simulation environments fail to meet the computational requirements. With an aim to carry out simulations and meet the computational demand for the interaction of heavy-duty machine tools and their foundation-soil system; a constitutive model with a transversely isotropic composite material (the reinforced concrete foundation) was developed to reduce computation load. Then, based on fractal theory, equations for calculating stiffness of the joint surface and damping matrix were deduced to overcome common technical difficulty facing the heavy-duty machine tool industry. Meanwhile, establishing a finite element model (FEM) framework in a cloud-computing environment, rapid solution of the FE model for heavy-duty machine tool foundation-soil system interactions was realized. Finally, a comparison of experimental results can be used to validate accuracy of the analysis. Furthermore, cloud-computing simulation of a heavy-duty machine tool foundation-soil system was used to evaluate efficacy of different types of isolation trenches. The results provide a basis for the construction of the foundations of a heavy-duty machine tool and the selection of an optimisation scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
84
Issue :
1-4
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
114605794
Full Text :
https://doi.org/10.1007/s00170-015-7916-2