Skip to main content
Log in

Cylindricity Error Measurement and Evaluation Based on Step Acceleration Algorithm in Crankshaft Measuring Machine

  • Original Paper
  • Published:
MAPAN Aims and scope Submit manuscript

Abstract

In the process of developing the vertical crankshaft comprehensive measuring instrument, owing to the problems of complex calculation and low efficiency of the existing crankshaft main journal cylindricity evaluation algorithm, a cylindricity error optimization algorithm based on step acceleration is proposed. As per the requirement of a measuring device of crankshaft, a mathematical model for evaluating cylindricity error is also proposed, and the cylindricity error in crankshaft journal with minimum assessment requirement is calculated by the step acceleration based optimization algorithm. Then, a certain type of engine crankshaft is taken as an object for detecting the main journal cylindricity error using the proposed new algorithm on the platform of a vertical crankshaft comprehensive measuring machine, and the measurement uncertainty analysis is performed. Compared to Talyrond290, the detection error of the measurement results is found to be within 0.5 um. In comparison with the geometric hexagon cylinder optimization algorithm, the results of the proposed methodology are found to be highly consistent and the computation time is reduced by 27.8%. Therefore, the proposed algorithm is practical.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Q. Chen, X.H. Tao, J.S. Lu and X.J. Wang, Cylindricity error measuring and evaluating for engine cylinder bore in manufacturing procedure. Adv. Mater. Sci. Eng., 2016 (2016) 4212905.

    Google Scholar 

  2. International Organization for Standardization. Geometrical product specification (GPS)–geometrical tolerancing–tolerances of form, orientation, location and run-out. ISO 1101, 2017

  3. K. Stepien, In situ measurement of cylindricity-problems and solutions. Prec. Eng., 38 (2014) 697–701.

    Article  Google Scholar 

  4. G. Moona, M. Jewariya and R. Sharma, Relevance of dimensional metrology in manufacturing industries. MAPAN-J. Metrol. Soc. India, 34 (2019) 97–104.

    Google Scholar 

  5. V.K. Pathak and A.K. Singh, Effective form error assessment using improved particle swarm optimization. MAPAN-J. Metrol. Soc. India, 32 (2017) 279–292.

    Google Scholar 

  6. K. Carr and P. Ferreir, Verification of form tolerances, PartII: cylindricity and straightness of a median line. Process. Technol., 17 (1995) 144–156.

    Google Scholar 

  7. S.Y. Chou and C.W. Sun, Assessing cylindricity for oblique cylindrical features. Int J Mach Tools & Manufact, 40 (2000) 327–341.

    Article  Google Scholar 

  8. H.Y. Lai, W.Y. Jywe and C.K. Chen, Precision modeling of form errors for cylindricity evaluation using genetic algorithms. J. Int. Soc. Precis. Eng. Nanotechnol., 24 (2000) 310–319.

    Google Scholar 

  9. Keun Lee, Sohyung Cho and Shihab Asfour, Web-based algorithm for cylindricity evaluation using support vector machine learning. Comput & Indust Eng, 60 (2011) 228–235.

    Article  Google Scholar 

  10. Zhao Yibing, Xu. Wen Xiulan and Youxiong., Cylindricity error inspection and evaluation based on CMM and QPA. China Mech. Eng., 26 (2015) 2432–2436.

    Google Scholar 

  11. Wen Xiu-lan, SONG Ai-guo cylindricity error evaluation based on an improved genetic algorithm. Acta Metrologica. Sinica., 25 (2004) 115–118.

    Google Scholar 

  12. Bei Guangxia, Lou Peihuang et al., Cylindricity error evaluation based on genetic algorithms. J. ShanDong Univ. Eng Sci., 38 (2008) 33.

    Google Scholar 

  13. Zhang Chunyang, Lei Xianqing, Li. Jishun and Duan Mingde, Method for roundness error evaluation based on geometry optimization. J. Mech. Eng., 46 (2010) 8–12 ((in Chinese)).

    Article  Google Scholar 

  14. X.L. Wen, Y.B. Zhao and D.X. Wang, Adaptive Monte Carlo and GUM methods for the evaluation of measurement uncertainty of cylindricity error. Precis. Eng., 37 (2013) 856–864.

    Article  Google Scholar 

  15. L.M. Zhu and H. Ding, Application of kinematic geometry to computational metrology distance function based hierarchical algorithms for cylindricity evaluation. Int. J. Mach. Tools Manuf, 43 (2003) 203–215.

    Article  Google Scholar 

  16. X.Q. Lei, H.W. Song, Y.J. Xue, J.H. Li, J. Zhou and M.D. Duan, Method for cylindricity error evaluation using geometry optimization searching algorithm. Measurement, 44 (2011) 1556–1563.

    Article  ADS  Google Scholar 

  17. Hui-Hui. Tian, Ya-Xiao. Wang and Hong-Xi. Wang, Effect of eccentricity on roundness measurement accuracy for cylindrical components with large radius. MAPAN J. Metrol. Soc. India, 35 (2020) 317–322.

    Google Scholar 

  18. Peili Yin, Jianhua Wang and Lu. Chunxia, Measuring software test verification for complex workpieces based on virtual gear measuring. Instrument. Measurement Sci. Rev., 17 (2017) 197–207.

    Article  ADS  Google Scholar 

  19. Zhang Xuechang, Liang Tao and Xu. Zhang, Wang Ying Ying, Yang Renmin. Research on Automobile Crankshaft Roundness and Cylindricity Errors Evaluation Mathematical Model Based on the Error Conversion, J Mech Eng., 56 (2016) 92–97.

    Google Scholar 

  20. ISO/IEC GUIDE 98–3. Uncertainty of measurement-Part 3: Guide to the expression of uncertainty in measurement, 2008.

  21. JB/T 6727-2000 Reciprocating internal combustion engines-Specifications for crankshaft-Part 3.7: Main dimension and Geometrical tolerance of crankshaft, 2000. (in Chinese).

  22. GB/T 1958-2017 Geometrical Product Specifications(GPS)-Geometrical tolerance-Verification-Part IX: Measurement uncetainty, 2017. (in Chinese).

  23. GB/T 1184-1996 Geometrical tolerancing-Geometrical tolerance for features without Individual tolerance indications-Appendix B: Individual tolerance indications, 1996. (in Chinese).

Download references

Acknowledgements

The authors would like to thank the Managing Editor and the anonymous reviewers for their pertinent comments on this paper.

Author information

Authors and Affiliations

Authors

Contributions

The author contributions are as follows: Ya-Xiao Wang was in charge of the whole trial and wrote the manuscript; Hong-xi Wang and Hui-hui Tian assisted with sampling and laboratory analyses.

Corresponding author

Correspondence to Ya-Xiao Wang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, YX., Wang, HX. & Tian, HH. Cylindricity Error Measurement and Evaluation Based on Step Acceleration Algorithm in Crankshaft Measuring Machine. MAPAN 37, 823–832 (2022). https://doi.org/10.1007/s12647-022-00556-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12647-022-00556-3

Keywords

Navigation