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Application of Computer Aided Design and Numerical Control Technology in Error Analysis of Numerical Control Machine Tools

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1385))

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Abstract

With the continuous development and application of digital technology, CNC machine tools have become the main production equipment in the manufacturing industry. CNC machine tools are developed on the basis of the theory of CNC technology, but it is necessary to design the system with some computer-aided design to achieve automatic management. This paper analyzes the computer aided technology and numerical control technology applied in the numerical control machine tool error analysis of the practical application of, and by using multiple regression analysis method for the computation of the efficiency and quality of application of computer aided technology and numerical control technology of CNC machine tool error analysis on the efficiency and quality of data with 15% and 45% respectively than traditional CNC machine analysis, proves that computer aided technology and numerical control technology for numerical control machine tool error analysis plays an important role.

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References

  1. Pugh, C.M., Law, K.E., Cohen, E.R., et al.: Use of error management theory to quantify and characterize residents’ error recovery strategies. Am. J. Surg. 219(2) (2020)

    Google Scholar 

  2. Peadon, R.R., Hurley, J., Hutchinson, M.: Hierarchy and medical error: speaking up when witnessing an error. Saf. Sci. 125, 104648 (2020)

    Google Scholar 

  3. Kumar, P., Gupta, S., Gunda, Y.R.: Estimation of human error rate in underground coal mines through retrospective analysis of mining accident reports and some error reduction strategies. Saf. Sci. 123, 104555 (2020)

    Google Scholar 

  4. Kévin, C., Xavier, B., Laurent, B., et al.: Data informativity for the open-loop identification of MIMO systems in the prediction error framework. Automatica 117, 109000 (2020)

    Google Scholar 

  5. Guo, W., Jin, F.-F.: Adaptive error feedback regulator design for 1 D heat equation. Automatica 113(C), 108810 (2020)

    Google Scholar 

  6. Vázquez, V.C., Gómez-Salgado, J.: El error de no planificar las emergencias en salud pública. Gaceta Sanitaria 34(4) (2020)

    Google Scholar 

  7. Gao, W., Weng, L., Zhang, J., et al.: An improved machine tool volumetric error compensation method based on linear and squareness error correction method. Int. J. Adv. Manuf. Technol. 106(11), 4731–4744 (2020)

    Google Scholar 

  8. Schmidt, C., Baessler, B., Nakhostin, D., et al.: Dual-energy CT-based iodine quantification in liver tumors – impact of scan-, patient-, and position-related factors. Acad. Radiol. 33 (2020)

    Google Scholar 

  9. Ramezani, A., Nazari, T., Rabiee, A., et al.: Human error probability quantification for NPP post-accident analysis using Cognitive-Based THERP method. Progress Nuclear Energy 123, 103281 (2020)

    Google Scholar 

  10. Tan, R.Z., Markus, C., Loh, T.P.: Relationship between biological variation and delta check rules performance. Clin. Biochem. 80, 42–47 (2020)

    Google Scholar 

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Acknowledgments

This research is supported by the Provincial (Key) Natural Science Research Project of Anhui Colleges (KJ2019A0844), Domestic visiting research projects for excellent young backbone teachers of Anhui Colleges (gxgnfx2020116).

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Correspondence to Jun Wang .

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Wang, J. (2021). Application of Computer Aided Design and Numerical Control Technology in Error Analysis of Numerical Control Machine Tools. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1385. Springer, Cham. https://doi.org/10.1007/978-3-030-74814-2_24

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