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Dynamic performance test under complicated motion states for five-axis machine tools based on double ballbar

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Abstract

During five-axis CNC machining, the dynamic tracking error caused by imperfect servo dynamic performance is becoming the major factor affecting the accuracy during high-speed and high-precision manufacturing. The double ballbar (DBB) test is one of the commonly used dynamic performance tests, but existing DBB test methods do not have satisfactory test capability for the requirement of complex freeform surface machining. In this paper, on the basis of summarized of dynamic tracking error’s mechanism and characteristics, an improved dynamic performance test based on DBB, which is named the circle-8 test, is proposed. In this test, a provenly efficient RTCP test trajectory is used to rebuild the DBB test process, which includes complex movements of all the five motion axes. To exhibit the improvement of the circle-8 test, this test and the BK3 test of ISO standard, which is considered as a comparison, are conducted in a five-axis machine tool with a tilting rotary table. According to the simulation and experiment results, for common dynamic inaccuracy situations, the circle-8 test always has better sensitivity of dynamic performance test than BK3 test. The above-improved dynamic performance test can be applied to provide effective data for the research of modeling and error reduction of five-axis machine tools.

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References

  1. Andolfatto L, Lavernhe S, Mayer J (2011) Evaluation of servo, geometric and dynamic error sources on five-axis high-speed machine tool. Int J Mach Tools Manuf 51(10–11):787–796

    Google Scholar 

  2. Slamani M, Mayer R, Balazinski M, Zargarbashi SH, Engin S, Lartigue C (2010) Dynamic and geometric error assessment of an XYC axis subset on five-axis high-speed machine tools using programmed end point constraint measurements. Int J Adv Manuf Technol 50(9–12):1063–1073

    Google Scholar 

  3. Jia Z-y, Ma J-w, Song D-n, Wang F-j, Liu W (2018) A review of contouring-error reduction method in multi-axis CNC machining. Int J Mach Tools Manuf 125:34–54

    Google Scholar 

  4. Lei W-T, Wang W-C, Fang T-C (2014) Ballbar dynamic tests for rotary axes of five-axis CNC machine tools. Int J Mach Tools Manuf 82:29–41

    Google Scholar 

  5. Lin M-T, Wu S-K (2013) Modeling and analysis of servo dynamics errors on measuring paths of five-axis machine tools. Int J Mach Tools Manuf 66:1–14

    Google Scholar 

  6. Jiang Z, Ding J, Ding Q, Du L, Wang W (2018) An attempt of error tracing and compensation method of the linkage error of five-axis CNC Machine tool. In: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection

  7. Jiang Z, Ding J, Zhang J, Du L, Wang W (2018) Research on error tracing method of five-axis CNC machine tool linkage error. J Braz Soc Mech Sci Eng 40(4):209

    Google Scholar 

  8. Jia Z, Song D, Ma J, Gao Y (2017) Pre-compensation for continuous-path running trajectory error in high-speed machining of parts with varied curvature features. Chin J Mech Eng 30(1):37–45

    Google Scholar 

  9. Zhang D, Chen Y, Chen Y (2016) Iterative pre-compensation scheme of tracking error for contouring error reduction. Int J Adv Manuf Technol 87(9–12):3279–3288

    Google Scholar 

  10. Song D-n, Ma J-w, Jia Z-y, Gao Y-y (2017) Estimation and compensation for continuous-path running trajectory error in high-feed-speed machining. Int J Adv Manuf Technol 89(5–8):1495–1508

    Google Scholar 

  11. Zhang K, Yuen A, Altintas Y (2013) Pre-compensation of contour errors in five-axis CNC machine tools. Int J Mach Tools Manuf 74:1–11

    Google Scholar 

  12. Yang S, Ghasemi AH, Lu X, Okwudire CE (2015) Pre-compensation of servo contour errors using a model predictive control framework. Int J Mach Tools Manuf 98:50–60

    Google Scholar 

  13. Zhang L, Wu T, Huang F (2014) A coupling motional control method based on parametric predictive and variable universe fuzzy control for multi-axis CNC machine tools. Int J Adv Manuf Technol 74(5-8):1097–1114

    Google Scholar 

  14. Yang J, Altintas Y (2015) A generalized on-line estimation and control of five-axis contouring errors of CNC machine tools. Int J Mach Tools Manuf 88:9–23

    Google Scholar 

  15. Yang J, Zhang H-T, Ding H (2017) Contouring error control of the tool center point function for five-axis machine tools based on model predictive control. Int J Adv Manuf Technol 88(9–12):2909–2919

    Google Scholar 

  16. Wu J, Xiong Z, Ding H (2015) Integral design of contour error model and control for biaxial system. Int J Mach Tools Manuf 89:159–169

    Google Scholar 

  17. Zhong G, Shao Z, Deng H, Ren J (2017) Precise position synchronous control for multi-axis servo systems. IEEE Trans Ind Electron 64(5):3707–3717

    Google Scholar 

  18. Zhang J, Ding J, Li Q, Jiang Z, Ding Q, Du L, Wang W (2019) A new contouring error estimation for the high form accuracy of a multi-axis CNC machine tool. Int J Adv Manuf Technol 101(5–8):1403–1421

    Google Scholar 

  19. Erkorkmaz K, Altintas Y (2001) High speed CNC system design. Part I: Jerk limited trajectory generation and quintic spline interpolation. Int J Mach Tool Manu 41(9):1323–1345

    Google Scholar 

  20. Lee AC, Lin M-T, Pan Y-R, Lin W-Y (2011) The feedrate scheduling of NURBS interpolator for CNC machine tools. Comput Aided Des 43(6):612–628

    Google Scholar 

  21. Dong J, Wang T, Li B, Ding Y (2014) Smooth feedrate planning for continuous short line tool path with contour error constraint. Int J Mach Tool Manu 76:1–12

    Google Scholar 

  22. Lin MT, Tsai MS, Yau HT (2007) Development of a dynamics-based NURBS interpolator with real-time look-ahead algorithm. Int J Mach Tool Manu 47(15):2246–2262

    Google Scholar 

  23. Calleja A, Bo P, González H, Bartoň M, de Lacalle LNL (2018) Highly accurate 5-axis flank CNC machining with conical tools. Int J Adv Manuf Technol 97(5-8):1605–1615

    Google Scholar 

  24. Bo P, Bartoň M, Pottmann H (2017) Automatic fitting of conical envelopes to free-form surfaces for flank CNC machining. Comput Aided Des 91:84–94

    Google Scholar 

  25. Bo P, Bartoň M, Plakhotnik D, Pottmann H (2016) Towards efficient 5-axis flank CNC machining of free-form surfaces via fitting envelopes of surfaces of revolution. Comput Aided Des 79:1–11

    Google Scholar 

  26. NAS979 (1969) Uniform cutting test-NAS series. metal cutting equipment. NAS, USA

    Google Scholar 

  27. Wang W, Jiang Z, Li Q, Tao W (2015) A new test part to identify performance of five-axis machine tool-Part II validation of S part. Int J Adv Manuf Technol 79(5-8):739–756

    Google Scholar 

  28. Wang W, Jiang Z, Tao W, Zhuang W (2015) A new test part to identify performance of five-axis machine tool—part I: geometrical and kinematic characteristics of S part. Int J Adv Manuf Technol 79(5–8):729–738

    Google Scholar 

  29. Song Z, Cui Y (2011) S-shape detection test piece and a detection method for detecting the precision of the numerical control milling machine. US Patent US8061052B2

  30. ISO 10791 (2020) Test conditions for machining centers-part 7: accuracy of finished test pieces

  31. Weikert S (2004) R-test, a new device for accuracy measurements on five axis machine tools. CIRP Ann 53(1):429–432

    Google Scholar 

  32. Jywe W, Hsu T-H, Liu C-H (2012) Non-bar, an optical calibration system for five-axis CNC machine tools. Int J Mach Tools Manuf 59:16–23

    Google Scholar 

  33. Hong C, Ibaraki S (2013) Non-contact R-test with laser displacement sensors for error calibration of five-axis machine tools. Precis Eng 37(1):159–171

    Google Scholar 

  34. Ding J, Zhou Z, Liu F, Du L, Wang W, Jiang Z, Song Z, Jiang J, Huang Z, Deng M (2015) Five-axis machine tool cutter posture and cutter tip position error synchronous detection mechanism. In: Europe Patent EP3238875B1

  35. Zhong L, Bi Q, Huang N, Wang Y (2018) Dynamic accuracy evaluation for five-axis machine tools using S trajectory deviation based on R-test measurement. Int J Mach Tools Manuf 125:20–33

    Google Scholar 

  36. Jiang Z, Ding J, Zhang J, Ding Q, Li Q, Du L, Wang W (2019) Research on detection of the linkage performance for five-axis CNC machine tools based on RTCP trajectories combination. Int J Adv Manuf Technol 100(1–4):941–962

    Google Scholar 

  37. Ding Q, Wang W, Jiang Z, Zhang J, Du L (2019) Comparison of the generating method and detecting ability of RTCP trajectories for five-axis CNC machine tool. J Mech Eng 55(20):116–127 (in Chinese)

    Google Scholar 

  38. Bryan J (1982) A simple method for testing measuring machines and machine tools. Part 2: construction details. Precis Eng 4(3):125–138

    Google Scholar 

  39. Bryan J (1982) A simple method for testing measuring machines and machine tools part 1: principles and applications. Precis Eng 4(2):61–69

    Google Scholar 

  40. Lei W, Sung M, Liu W, Chuang Y (2007) Double ballbar test for the rotary axes of five-axis CNC machine tools. Int J Mach Tools Manuf 47(2):273–285

    Google Scholar 

  41. Lei W, Paung I, Yu C-C (2009) Total ballbar dynamic tests for five-axis CNC machine tools. Int J Mach Tools Manuf 49(6):488–499

    Google Scholar 

  42. Le Flohic J, Paccot F, Bouton N, Chanal H (2018) Model-based method for feed drive tuning applied to serial machine tool. Int J Adv Manuf Technol 95(1–4):735–745

    Google Scholar 

  43. ISO 10791 (2009) Test conditions for machining centers-part 6: accuracy of feeds, speeds and interpolations

  44. Kato N, Sato R, Tsutsumi M (2012) 3D circular interpolation motion equivalent to cone-frustum cutting in five-axis machining centers and its sensitivity analysis. Procedia Cirp 1 (none)

  45. Kato N, Tsutsumi M, Sato R (2013) Analysis of circular trajectory equivalent to cone-frustum milling in five-axis machining centers using motion simulator. Int J Mach Tool Manu 64:1–11

    Google Scholar 

  46. Kato N, Tsutsumi M, Tsuchihashi Y, Sato R, Ihara Y (2013) Sensitivity analysis in ball bar measurement of three-dimensional circular movement equivalent to cone-frustum cutting in five-axis machining centers. J Adv Mech Des Syst Manuf 7(3):317–332

    Google Scholar 

  47. Tsutsumi M, Yumiza D, Utsumi K, Sato R (2007) Evaluation of synchronous motion in five-axis machining centers with a tilting rotary table. J Adv Mech Des Syst Manuf 1(1):24–35

    Google Scholar 

  48. Tsai CY, Lin PD (2009) The mathematical models of the basic entities of multi-axis serial orthogonal machine tools using a modified Denavit–Hartenberg notation. Int J Adv Manuf Technol 42(9–10):1016–1024

    Google Scholar 

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Funding

This work was supported by the (04) National Science and Technology Major Projects of China (Grant No. 2017ZX04002001-002).

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Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Qicheng Ding, Wei Wang, Li Du, Jiexiong Ding & Jing Zhang

  2. Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Liping Wang

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  1. Qicheng Ding
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  2. Wei Wang
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  3. Li Du
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  4. Jiexiong Ding
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Correspondence to Jiexiong Ding.

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Ding, Q., Wang, W., Du, L. et al. Dynamic performance test under complicated motion states for five-axis machine tools based on double ballbar. Int J Adv Manuf Technol 111, 765–783 (2020). https://doi.org/10.1007/s00170-020-06101-3

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  • DOI: https://doi.org/10.1007/s00170-020-06101-3

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