Machine Tool Assembly Quality Inspection Based on Signal Sampling of Feed Shaft

Considering the nonlinear relationship of the joint surface between parts in machine tool assembly, a finite element analysis method based on assembly relationship is proposed. By this method, a finite element model is set up. Based on the analysis of experimental data, the result is close to the actual working conditions, which proves that this analysis method based on the machine tool assemble relationship is feasible and reliable

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The Modeling and Prediction of Gravity Deformation in Precision Machine Tool Assembly

Volume 2A: Advanced Manufacturing ◽

10.1115/imece2013-63441 ◽

2013 ◽

Cited By ~ 1

Author(s):

Junkang Guo ◽

Jun Hong ◽

Xiaopan Wu ◽

Mengxi Wang ◽

Yan Feng

Keyword(s):

Machine Tool ◽

State Space ◽

State Space Model ◽

Variation Theory ◽

Assembly Process ◽

Motion Error ◽

Space Model ◽

Precision Machine ◽

Variation Propagation ◽

Tool Assembly

The variation propagation in mechanical assembly is an important topic in several research fields, such as computer aided tolerancing (CAT) and product quality control. Mathematical models and analysis methods have been developed to solve this practical problem. Tolerance analysis which is based on the rigid hypothesis can be used to simulate the mass manufacturing and assembly. The state space model and stream of variation theory are mainly applied in flexible part assembly. However, in precision machine tool assembly, both tolerance design and process planning critically impact the accuracy performance, mainly because of the fact that the gravity deformation, including the part deformation and the variation in the joint of two connecting parts, cannot be ignored in variation propagation analysis. In this paper, based on the new generation GPS (Geometrical Product Specification and Verification) standards, the verification and modeling of key characteristics variation due to gravity deformation of single part and adjacent parts are discussed. The accurate evaluation of position and orientation variation taking into account form errors and gravity deformation can be solved from this model by FEM. A mathematical model considering rail error, stiffness of bearings is introduced to simulate the motion error in gravity effect. Based on this work to more accurately calculate the variation propagation considering gravity impact, a state space model describing the assembly process of machine tools is proposed. Then, in any assembly process, the final accuracy can be predicted to find out whether the accuracy is out of design requirement. The validity of this method is verified by a simulation of the assembly of a precision horizontal machining center.

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Systematic review of research relating to heavy-duty machine tool foundation systems

Advances in Mechanical Engineering ◽

10.1177/1687814018806106 ◽

2019 ◽

Vol 11 (1) ◽

pp. 168781401880610 ◽

Cited By ~ 1

Author(s):

Yang Tian ◽

Zhifeng Liu ◽

Xinpeng Xu ◽

Guang Wang ◽

Qiwei Li ◽

...

Keyword(s):

Systematic Review ◽

Machine Tool ◽

Influencing Factors ◽

Vibration Isolation ◽

Relevant Literature ◽

Quality Inspection ◽

Heavy Duty ◽

Operating Life ◽

Heavy Machine

The quality of heavy-duty machine tool foundations can drastically affect the operating life and working precision of the tool, and the high cost of manufacture has drawn a lot of attention. This article summarized the research status of the relevant literature on the characteristics, vibration isolation, foundation optimization, and quality inspection of heavy-duty machine tool-foundation system, induced the influencing laws of the influencing factors of the system, reviewed the highlights and achievements in the research of heavy machine tool-foundation system at present, and put forward some problems and development directions existing in the research of heavy machine tool-foundation system. It lays a foundation for realizing the judgment of the concrete foundation quality and improving the processing precision and the maintenance of the heavy machine tool.

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