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An accurate characterization method to tracing the geometric defect of the machined surface for complex five-axis machine tools

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Abstract

Geometric error is the main error that affects the machining accuracy of complex five-axis machine tool. Therefore, tracing analysis of error influence for a complex machine tool has been carried out based on an S-shaped workpiece in this study. A method of judging the error parameters which is the biggest influence on machining errors is established. In this method, the machining error of S-shaped workpiece and shaping motions of complex machine tool are comprehensively considered. Cubic B-splines surface has been applied to characterization of the curved surface. The actual position of tool center can be deduced by projecting the B-splines surface in its normal direction. The mapping relationship between the actual tool position and the actual machining curve has established. The machining errors generation model has established. The error expression equation has been deduced. Those five key parameters that have great influence on machining errors are determined according to the contribution which have been computed using the sensitivity and measured values of error parameters. Experimental results show that the error of each point is not more than ±1.5 μm by comparing the five error parameters and all parameters under the action of at the same time. The biggest errors which influence on the machining errors are \( {\varepsilon}_{yC_1} \), δ z (B), ε y (C 1), ε x (C 1), and \( {\varepsilon}_{x_1{C}_1} \).

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References

  1. Lin Y, Shen Y (2003) Modeling of five-axis machine tool metrology models using the matrix summation approach. Int J Adv Manuf Technol 21(4):243–248

    Article  Google Scholar 

  2. Ahn K-G, Min B-K, Pasek ZJ (2006) Modeling and compensation of geometric rrrors in simultaneous cutting using a multi-spindle machine tool. Int J Adv Manuf Technol 29(9–10):929–939

    Article  Google Scholar 

  3. Suh SH, Lee ES, Jung SY (1998) Error modelling and measurement for the rotary table of five-axis machine tools. Int J Adv Manuf Technol 14(9):656–663

    Article  Google Scholar 

  4. Hong S, Shin Y, Lee H (1997) An efficient method for identification of motion error sources from circular test results in NC machines. Int J Mach Tools Manuf 37:327–340

    Article  Google Scholar 

  5. Kim D-S, Chang I-C, Kim S-W (2002) Microscopic topographical analysis of tool vibration effects on diamond turned optical surfaces. Precision Engineering 26:168–174

    Article  Google Scholar 

  6. Jung J-H, Choi J-P, Lee S-J (2006) Machining accuracy enhancement by compensating for volumetric errors of a machine tool and on-machine measurement. J Mater Process Technol 174:56–66

    Article  Google Scholar 

  7. Gao W, Tano M, Araki T (2007) Measurement and compensation of error motions of a diamond turning machine. Precis Eng 313:10–316

    Google Scholar 

  8. Gao W, Aoki J, Ju BF (2007) Surface profile measurement of a sinusoidal grid using an atomic force microscope on a diamond turning machine. Precis Eng 31:304–309

    Article  Google Scholar 

  9. Barman S, Sen R (2010) Enhancement of accuracy of multi-axis machine tools through error measurement and compensation of errors using laser interferometry technique. J Metrol Soc India 25:79–87

    Google Scholar 

  10. Wang JD, Guo JJ (2012) Research on volumetric error compensation for NC machine tool based on laser tracker measurement. Sci China Technol Sci 55:3000–3009

    Article  Google Scholar 

  11. Barman S, Sen R (2012) Performance evaluation of multi-axis CNC machine tools by interferometry principle using laser calibration system. J Inst Eng 93:151–155

    Google Scholar 

  12. Chen GS, Mei XS, Li HL (2013) Geometric error modeling and compensation for large-scale grinding machine tools with multi-axes. Int J Adv Manuf Technol 69:2583–2592

    Article  Google Scholar 

  13. Li DX, Zhang JF, Zhang YL, Feng PF (2014) Modeling, identification and compensation for geometric errors of laser annealing table. J Central South Univ 21:904–911

    Article  Google Scholar 

  14. Ibaraki S, Sawada M, Matsubara A (2010) Machining tests to identify kinematic errors on five-axis machine tools. Precis Eng 34:387–398

    Article  Google Scholar 

  15. Lee K-I, Yang S-H (2013) Measurement and verification of position-independent geometric errors of a five-axis machine tool using a double ball-bar. Int J Mach Tools Manuf 70:45–52

    Article  Google Scholar 

  16. Chen JX, Lin SW, Bing WH (2014) Geometric error measurement and identification for rotary table of multi-axis machine tool using double ball bar. Int J Mach Tools Manuf 77:47–55

    Article  Google Scholar 

  17. Liu SJ, Watanabe K, Chen X (2009) Profile measurement of a wide-area resist surface using a multi-ball cantilever system. Precis Eng 33:50–55

    Article  Google Scholar 

  18. Veeco (2006) Instruments Forms Process Equipment Group. III-VS Review

  19. Adamczak S, Orzechowski T, Stanczyk TL (2007) The infrared measurement of form deviations of machine parts in motion. Measurement 40:28–35

    Article  Google Scholar 

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Correspondence to Dongju Chen.

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Chen, D., Wang, H., Pan, R. et al. An accurate characterization method to tracing the geometric defect of the machined surface for complex five-axis machine tools. Int J Adv Manuf Technol 93, 3395–3408 (2017). https://doi.org/10.1007/s00170-017-0718-y

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  • DOI: https://doi.org/10.1007/s00170-017-0718-y

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