Bearing deformation of heavy-duty machine tool-foundation systems and deformation detection methods

Abstract

Because of the characteristics of heavy-duty machine tools such as large self-weight and heavy load, the working precision and service life of their lathe beds, columns, and other large structural parts are all directly influenced by the foundation. In view of the considerable influence of joint surfaces on system characteristics, this study involved obtaining joint surface parameter values from a microscopic perspective, deriving a static joint surface parameter model from Reynolds equation, adopting fractal theory to develop a bolted joint surface parameter model, and thus completing the embedding of joint surface parameters under uneven loads; a simulation model for a heavy-duty machine tool-foundation system was also devised considering the influence of joint surfaces. To identify the structural micro-deformation status of heavy-duty numerical control machine tool-foundation systems, the authors constructed a fiber grating technology-based experimental platform for detecting the deformation of structural parts, verified the correctness of the above simulation model via experiments, and proposed a method for detecting the deformation of heavy-duty machine tool-foundation systems using fiber grating technology. Based on the above simulation model, the influence of reinforced layer position, foundation outline specifications and soil properties around the foundation on the bearing deformation of heavy-duty machine tool-foundation systems were studied, and some guidelines on the construction of concrete foundations were formulated. This model and the related detection method laid a theoretical foundation for guiding the design and optimization of heavy-duty machine tool structure and foundation.

Keywords

Heavy-duty machine tool foundation joint surface fiber grating bearing deformation

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References

Patel

Siddharth

. Dynamic analysis of foundation supporting rotary machine. J Eng Res Appl 2015; 5: 34–45.

Krantsfel'd

. Criteria of the dynamic state of frame machine foundations. Soil Mech Found Eng 2010; 47: 8–11.

Krantsfel'd

. Implementation of building code “dynamically loaded machine foundations”. Soil Mech Found Eng 2013; 50: 128–130.

Ghosh

. FLAC-based numerical studies on dynamic interference of two nearby embed machine foundations. Geotech Geol Eng 2012; 30: 1161–1181.

Wang

Pan

Tzeng

et al.

Displacements and stresses due to a uniform vertical circular load in an inhomogeneous cross-anisotropic half-space. Int J Geomech 2006; 6: 1–10.

Reddy

Sharan

. The static and dynamic analysis of machine tools using dynamic matrix reduction technique. Int J Mach Tools Manuf 1987; 27: 105–112.

Atapin

. Calculation of the deformed state of the foundation of a heavy multipurpose machine tool. Sov Eng Res 1989; 9: 41–43.

Haldar

Babu

GLS

. Improvement of machine foundations using reinforcement. Proc Instn Civil Engrs 2009; 162: 199–204.

Chandrakaran

Nagaraj

Sridharan

. Dynamic response of latex modified concrete machine foundations. Mag Concr Res 1990; 42: 37–43.

10.

Tian

Cai

Liu

et al.

Bearing deformation of heavy-duty CNC machine tools & foundation system. J Beijing Univ Technol 2016; 42: 9–16. .

11.

Zhao

. Assembly errors analysis of linear axis of CNC machine tool considering component deformation. Int J Adv Manuf Technol 2015; 86: 1–9.

12.

Chen

Lin

. Geometric error compensation for multi-axis CNC machines based on differential transformation. Int J Adv Manuf Technol 2014; 71: 635–642.

13.

Lei

Sung

. NURBS-based fast geometric error compensation for CNC machine tools. Int J Mach Tools Manuf 2008; 48: 307–319.

14.

Kono

Matsubara

Yamaji

et al.

High-precision machining by measurement and compensation of motion error. Int J Mach Tools Manuf 2008; 48: 1103–1110.

15.

Majda

. Relation between kinematic straightness errors and angular errors of machine tool. Adv Manuf Sci Technol 2012; 36: 47–53.

16.

Aggogeri

Borboni

Faglia

et al.

A kinematic model to compensate the structural deformations in machine tools using fiber Bragg grating (FBG) sensors. Appl Sci 2016; 7: 114.

17.

Currie

Saafi

Tachtatzis

et al.

Structural integrity monitoring of onshore wind turbine concrete foundations. Renew Energy 2015; 83: 1131–1138.

18.

Jia S, Li B and Li K. Transformer substation foundation sedimentation monitoring method, involves fixing metal pole in concrete pile in transformer substation foundation, and fixing metal pole with main glass tube vertically equipped with open upper end. CN104596477-A, 2015.

19.

Ibrahim

Pettit

. Uncertainties and dynamic problems of bolted joints and other fasteners. J Sound Vib 2005; 279: 857–936.

20.

Tian

Liu

Cai

et al.

The contact mode of a joint interface based on improved deep neural networks and its application in vibration analysis. J Vibroeng 2016; 18: 1388–1405.

21.

Cai

Tian

Liu

et al.

Application of cloud computing to simulation of a heavy-duty machine tool. Int J Adv Manuf Technol 2016; 84: 291–303.