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A novel modelling method of geometric errors for precision assembly

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Abstract

Geometric errors are inevitably observable on machining parts and have huge influences on the assembly quality and precision of mechanical system. The modelling of geometric errors is the key issue for the prediction of their effects on the assembly quality. Although various approaches for the representation and analysis of geometric errors have been proposed, most of them only consider orientation and position deviations but do not consider form errors. However, in mechanical system, since the non-uniform distribution of the altitudes of form errors on parts surface inevitably leads to non-uniform contact states, further causing the local surface deformations and non-uniform stresses on contact surfaces, even very small form errors propagate and accumulate through assembly parts and lead to malfunction as well as decreased assembly accuracy stability. The paper proposes a method for the representation of geometric errors based on Non-Uniform Rational B-Splines (NURBS) surface, which can consider form errors and characterize the altitude distribution of geometric errors on the machined surface. Machining Characteristic Model (MCM), representing the distribution characteristics of geometric errors on the surfaces machined under the same machining process, is established by averaging a number of surface models of geometric errors. The developed mathematical models of geometric errors can be implemented in COMPUTER-AIDED DESIGN (CAD) system so that a method to integrate geometric errors in CAD model is presented. The resulting solid model (i.e. REALISTIC GEOMETRIC SOLID MODEL) is the representation of parts geometry considering geometric errors. Realistic assembly model is established through the relative positioning of REALISTIC GEOMETRIC SOLID MODELS, which realizes the consideration of parts geometric errors in the virtual modelling of mechanical assembly. The efficiency and feasibility of the proposed methods are verified in the experimental study.

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References

  1. ASME (2009) Y14. 5-2009 Dimensioning and tolerancing. ASME, New York

    Google Scholar 

  2. ISO 1101: (2004) Geometrical product specifications (GPS)-geometrical tolerancing-tolerancing of form, orientation, location and run-out

  3. Bourdet P, Mathieu L, Lartigue C et al (1996) The concept of the SMALL DISPLACEMENT TORSOR in metrology. Ser Adv Math Appl Sci 40:110–122

    Google Scholar 

  4. Wirtz A (1991) Vectorial tolerancing for quality control and functional analysis in design. In: 2th CIRP international seminar on CAT. p. 77–84

  5. Gao J, Chase KW, Magleby SP (1998) Generalized 3-D tolerance analysis of mechanical assemblies with small kinematic adjustments. IIE Trans 30(4):367–377

    Google Scholar 

  6. Homri L, Teissandier D, Ballu A (2015) Tolerance analysis by polytopes: taking into account degrees of freedom with cap half-spaces. Comput Aided Des 62:112–130

    Article  Google Scholar 

  7. Davidson JK, Shah JJ (2003) Using tolerance-maps to represent material condition on both a feature and a datum[C]//The 8th international CIRP seminar on computer aided tolerancing: 92–101

  8. Giordano M, Samper S, Petit J P (2007) Tolerance analysis and synthesis by means of deviation domains, axi-symmetric cases. Models for computer aided tolerancing in design and manufacturing. Springer Netherlands: 85–94

  9. Ameta G, Serge S, Giordano M (2011) Comparison of spatial math models for tolerance analysis: tolerance-maps, deviation domain, and TTRS. J Comput Inf Sci Eng 11(2):021004

    Article  Google Scholar 

  10. Hong YS, Chang TC (2002) A comprehensive review of tolerancing research. Int J Prod Res 40(11):2425–2459

    Article  MATH  Google Scholar 

  11. Grandjean J, Ledoux Y, Samper S (2013) On the role of form defects in assemblies subject to local deformations and mechanical loads. Int J Adv Manuf Technol 65(9–12):1769–1778

    Article  Google Scholar 

  12. Huang W, Ceglarek D (2002) Mode-based decomposition of part form error by discrete-cosine-transform with implementation to assembly and stamping system with compliant parts. CIRP Ann Manuf Technol 51(1):21–26

    Article  Google Scholar 

  13. Raja J, Radhakrishnan V (1977) Analysis and synthesis of surface profiles using Fourier series. Int J Mach Tool Des Res 17(4):245–251

    Article  Google Scholar 

  14. Samper S, Adragna PA, Favreliere H et al (2009) Modeling of 2D and 3D assemblies taking into account form errors of plane surfaces. J Comput Inf Sci Eng 9(4):041005

    Article  Google Scholar 

  15. Srinivasan RS, Wood KL (1995) Geometric tolerancing in mechanical design using fractal-based parameters. J Mech Des 117(1):203–206

    Article  Google Scholar 

  16. Lee NKS, Yu G, Joneja A et al (2006) The modeling and analysis of a butting assembly in the presence of workpiece surface roughness and part dimensional error. Int J Adv Manuf Technol 31(5–6):528–538

    Article  Google Scholar 

  17. Franciosa P, Gerbino S, Patalano S (2011) Simulation of variational compliant assemblies with shape errors based on morphing mesh approach. Int J Adv Manuf Technol 53(1–4):47–61

    Article  Google Scholar 

  18. Zhang T, Zhang Z, Jin X et al (2016) An innovative method of modeling plane geometric form errors for precision assembly. Proc Inst Mech Eng B J Eng Manuf 230(6):1087–1096

    Article  Google Scholar 

  19. Del Castillo E (2011) Statistical shape analysis of manufacturing data. Geometric Tolerances. Springer, London, pp 215–234

    Google Scholar 

  20. Zuo F, Zhang Z, Jin X et al (2010) State space model based theory of assembly variation propagation modeling. Mechatronics and Automation (ICMA), 2010 International Conference on. IEEE: 589–594

  21. Prieto F, Redarce T, Boulanger P et al (2001) Tolerance control with high resolution 3D measurements. 3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on. IEEE: 339–346

  22. Rajamohan G, Shunmugam MS, Samuel GL (2007) Sampling strategies for verification of freeform profiles using coordinate measuring machines, 9th International Symposium on Measurement and Quality Control: 135–140

  23. Pawlus P (2007) Digitisation of surface topography measurement results. Measurement 40(6):672–686

    Article  Google Scholar 

  24. Boryczko A (2010) Distribution of roughness and waviness components of turned surface profiles. Metrol Meas Syst 17(4):611–620

    Article  Google Scholar 

  25. Piegl L, Tiller W (2012) The NURBS book. Springer Science & Business Media

  26. Jung HB, Kim K (2000) A new parameterisation method for NURBS surface interpolation. Int J Adv Manuf Technol 16(11):784–790

    Article  Google Scholar 

  27. Wise S (2011) Cross-validation as a means of investigating DEM interpolation error[J]. Comput Geosci 37(8):978–991

    Article  Google Scholar 

  28. Yau HT, Menq CH (1996) A unified least-squares approach to the evaluation of geometric errors using discrete measurement data. Int J Mach Tools Manuf 36(11):1269–1290

    Article  Google Scholar 

  29. Requicha A, Chan S (1986) Representation of geometric features, tolerances, and attributes in solid modelers based on constructive geometry. IEEE J Robot Autom 2(3):156–166

    Article  Google Scholar 

  30. Yu YC, Liu CR, Kashyap RL (1986) A variational solid model for mechanical parts. Integrat Intell Manuf:237–245

  31. Teck TB, Kumar AS, Subramanian V (2001) A CAD integrated analysis of flatness in a form tolerance zone[J]. Comput Aided Des 33(12):853–865

    Article  Google Scholar 

  32. Louhichi B, Tlija M, Benamara A et al (2015) An algorithm for CAD tolerancing integration: generation of assembly configurations according to dimensional and geometrical tolerances. Comput Aided Des 62:259–274

    Article  Google Scholar 

  33. Desrochers A, Clément A (1994) A dimensioning and tolerancing assistance model for CAD/CAM systems. Int J Adv Manuf Technol 9(6):352–361

    Article  Google Scholar 

  34. Chacón JM, Bellido JC, Donoso A (2014) Integration of topology optimized designs into CAD/CAM via an IGES translator. Struct Multidiscip Optim 50(6):1115–1125

    Article  Google Scholar 

  35. Lin AC, Lin SY, Cheng SB (1997) Extraction of manufacturing features from a feature-based design model. Int J Prod Res 35(12):3249–3288

    Article  MATH  Google Scholar 

  36. Low K L. Linear least-squares optimization for point-to-plane icp surface registration. Chapel Hill, University of North Carolina, 2004, 4

  37. da Costa DD, Pedrini H, Bazan O (2009) Direct milling of polymethylmethacrylate for cranioplasty applications. Int J Adv Manuf Technol 45(3–4):318–325

    Article  Google Scholar 

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Correspondence to Zhongqing Zhang.

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Zhang, Z., Zhang, Z., Jin, X. et al. A novel modelling method of geometric errors for precision assembly. Int J Adv Manuf Technol 94, 1139–1160 (2018). https://doi.org/10.1007/s00170-017-0936-3

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