Advertisement

Tool path modeling and error sensitivity analysis of crankshaft pin CNC grinding

  • 155 Accesses

  • 5 Citations

Abstract

A tool path generation model with parametric four-bar mechanism was established, and the kinematic geometric coordinate data (tool path) were obtained for crankshaft pin computer numerical control (CNC) grinding. The model was based on the envelope principle; the tool path coordinates were generated by solving a special connecting rod curve. The kinematic performance indexes of crankshaft pin CNC grinding comprise the displacement, velocity, acceleration, jerk in x and y directions, and constant angular speed coefficient. Because of the changes in the parameters, three typical submodels were investigated. It was concluded that the two-axis crankshaft grinding is a special case of in-line slider-crank model. Moreover, a constant angular velocity grinding was achieved using the parallelogram model only. A region was established for the parameters, where the three typical submodels showed the best performance. Finally, the error sensitivity analysis based on the motion error model was carried out using numerical simulation. The results indicate that the three motion errors satisfy the principle of linear superposition, the additional y-axis can be used as error compensation, and the accuracy of rotating spindle C is the most important factor for the high precision of crankshaft pin.

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

Access options

Buy single article

Instant unlimited access to the full article PDF.

US$ 39.95

Price includes VAT for USA

Subscribe to journal

Immediate online access to all issues from 2019. Subscription will auto renew annually.

US$ 199

This is the net price. Taxes to be calculated in checkout.

References

  1. 1.

    Tönshoff TK, Friemuth T, Becker JC (2000) Continuous path controlled grinding of crankshaft. Abrasives Mag: 25–29

  2. 2.

    Hitchiner M, Webster J (2001) Recent advances in camshaft and crankshaft grinding. Abrasive Mag: 7–12

  3. 3.

    Krajnik P, Drazumeric R, Badger J (2013) Optimization of peripheral cylindrical grinding via an adaptable constant-temperature process. CIRP Ann-Manuf Technol 62:347–350

  4. 4.

    Drazumeric R, Badger J, Krajnik P (2014) Geometric, kinematical and thermal analyses of cylindrical grinding. J Mater Process Technol 214:818–827

  5. 5.

    Walsh A, Baliga B, Hodgson P (2004) A study of the crankshaft pin grinding forces. Key Eng Mater 257–258:75–80

  6. 6.

    Liu YJ, Fan JW, Miao W (2013) Soft compensation for CNC crankshaft grinding machine tool. Adv Mech Eng. doi:10.1155/2013/254709

  7. 7.

    Huan J, Ma WM (2010) Method for graphically evaluating the workpiece’s contour error in non-circular grinding process. Int J Adv Manuf Technol 46:117–121

  8. 8.

    Cha KC, Wang N, Liao JY (2013) Stability analysis for the crankshaft grinding machine subjected to a variable-position worktable. Int J Adv Manuf Technol 67:501–516

  9. 9.

    Oliveira JFG, Silva EJ, Guo C, Hashimoto F (2009) Industrial challenges in grinding. CIRP Ann Manuf Technol 58:663–680

  10. 10.

    Oliveira JFG, Silva EJ, Gomes JJF, Klocke F, Friedrich D (2005) Analysis of grinding strategies applied to crankshaft manufacturing. Ann CIRP 54(1):269–272

  11. 11.

    Comley P, Walton I, Jin T, Stephenson DJ (2006) A high material removal rate grinding process for the production of automotive crankshafts. Ann CIRP 55(1):347–350

  12. 12.

    Denkena B, Gümmer O (2013) Active tailstock for precise alignment of precision forged crankshafts. Procedia CIRP 12:121–126

  13. 13.

    Wang SL, Lin B, Zhang XF, Liang JM, Wang Y (2015) A novel tool path generation algorithm for plane envelope grinding convex surface based on constant scallop height method. Int J Adv Manuf Technol 78:1087–1099

  14. 14.

    Fujiwara T, Tsukamoto S, Miyagawa M (2005) Analysis of the grinding mechanism with wheel head oscillating type CNC crankshaft pin grinder. Key Eng Mater 291–292:163–168

Download references

Author information

Correspondence to Weifeng Wei or Guangpeng Zhang.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Fig. 14
figure14

(JPEG 2414 kb)

Fig. 15
figure15

(JPEG 1981 kb)

Fig. 16
figure16

(JPEG 3895 kb)

Fig. 17
figure17

(JPEG 4053 kb)

Fig. 18
figure18

(JPEG 3837 kb)

Fig. 19
figure19

(JPEG 2278 kb)

Fig. 20
figure20

(JPEG 2075 kb)

Fig. 21
figure21

(JPEG 4394 kb)

Fig. 22
figure22

(JPEG 2678 kb)

Fig. 23
figure23

(JPEG 2293 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

(AVI 20840 kb)

ESM 1

(FIG 40 kb)

ESM 2

(FIG 36 kb)

ESM 3

(FIG 40 kb)

ESM 4

(FIG 34 kb)

ESM 5

(FIG 35 kb)

ESM 6

(FIG 584 kb)

ESM 7

(AVI 20840 kb)

ESM 8

(AVI 20840 kb)

ESM 9

(AVI 20840 kb)

ESM 10

(AVI 20840 kb)

ESM 11

(AVI 20840 kb)

ESM 12

(AVI 20840 kb)

ESM 13

(AVI 20840 kb)

ESM 14

(AVI 20840 kb)

ESM 15

(AVI 20840 kb)

ESM 16

(AVI 20840 kb)

ESM 17

(AVI 20840 kb)

ESM 18

(AVI 20840 kb)

ESM 19

(AVI 20840 kb)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wei, W., Zhang, G. Tool path modeling and error sensitivity analysis of crankshaft pin CNC grinding. Int J Adv Manuf Technol 86, 2485–2502 (2016) doi:10.1007/s00170-015-8253-1

Download citation

Keywords

  • Crankshaft pin CNC grinding
  • Tool path generation
  • Four-bar mechanism model
  • Error sensitivity analysis
  • CAD/CAM