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

Content Provider	Springer Nature Link
Author	Cai, Ligang Tian, Yang Liu, Zhifeng Cheng, Qiang Xu, Jingjing Ning, Yue
Copyright Year	2015
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.
Starting Page	291
Ending Page	303
Page Count	13
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	84
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-10-08
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Heavy-duty machine tool Foundation Soil Cloud computing Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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