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A turning simulation environment for geometric error estimation of thin-walled parts

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Abstract

Machining of thin-walled parts is a key process in many industries such as aviation and marine and power engineering. During such machining operation, very aggressive cutting conditions such as large feed rate, higher cutting speed, and large depth of cut are used to achieve higher material removal rate. During machining, thin-walled workpiece faces significant elastic deformation due to higher cutting forces leading to dimensional and geometric inaccuracy to the component. The present research work aims to develop a multi-step and multi-level turning simulation environment for estimation of various geometric errors such as straightness, circularity, and cylindricity of thin-walled part. In the proposed simulation environment, various modules such as process geometry, cutting force, tool deflection, and surface error generation have been developed in MATLAB©. On the other end, the modules such as part geometry, workpiece deflection, and material removal are made using finite element analysis technique in APDL environment of the ANSYS© commercial software. The estimated 3D turned surface and concerned geometric errors can be obtained as outcomes of the simulation environment without conducting expensive actual machining operation for varying cutting conditions. In order to estimate geometric errors accurately, the combined effect of tangential and radial force components are equally important to take care of geometrical shape change and peripheral thinning of thin-wall parts. The proposed simulation environment can be used as a convenient and cost-effective tool for process planners and machining practitioners for adopting a suitable error compensation strategy. Machining experiments are performed further to conform the validity of simulation environment by comparing the predicted results to their measured counterparts.

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Data availability

The datasets used or analyzed during the current study are available from the corresponding author on reasonable request. Most of the datasets are provided in this paper.

Abbreviations

\({ER}_{(i,j)}\) :

Radial error at ith feed station and jth incremental rotational position of job

\({R}_{(i,j)}\) :

Actual radius at ith feed station and jth incremental rotational position

\({\theta }_{(i,j)}\) :

Angular position of the cylinder

\({R}_{d}\) :

Desired radius of the turned job

\(i\) :

Index for feed station

\(j\) :

Index for incremental rotational position

\(n\) :

Finite number of feed station

\({R}_{od}\) :

Outer radius of hollow cylinder

\({R}_{id}\) :

Inner radius of hollow cylinder

\(L\) :

Length of hollow cylinder from fixed end

\(d\) :

Nominal depth of cut

\(f\) :

Nominal feed per revolution

\({f}_{r}\) :

Nominal feed rate

\(N\) :

Spindle RPM

\({\delta }_{wx}\) :

Workpiece deflection component X direction

\({\delta }_{tx}\) :

Tool deflection component in X direction

\({\delta }_{wy}\) :

Workpiece deflection component Y direction

\({\delta }_{ty}\) :

Tool deflection component in Y direction

\({\delta }_{ex}\) :

Effective deflection component in X direction

\({\delta }_{ey}\) :

Effective deflection component in Y direction

\({F}_{x}\) :

Normal force component

\({F}_{y}\) :

Tangential force component

\({F}_{z}\) :

Feed force component

\({F}_{T}\) :

Thrust force component

\({K}_{c}\) :

Cutting force constant for tangential force

\({K}_{f}\) :

Cutting force constant for feed force

\({K}_{C}\) :

Specific cutting force constant for tangential force

\({K}_{F}\) :

Specific cutting force constant for tangential force

\(p\) :

Constant used in power function

\(q\) :

Constant used in power function

\({K}_{tx}\) :

Tool stiffness along X direction

\({K}_{ty}\) :

Tool stiffness along Y direction

\(E\) :

Young’s modulus

\({I}_{zz}\) :

Moment of inertia about Z axis

\(B\) :

Width of tool

\(H\) :

Height of tool

\({N}_{1}\) :

Number of radial sections

\({N}_{2}\) :

Total number of job revolution

\({N}_{T}\) :

Total number of discrete points

\(\Delta \theta\) :

Angular step

\({S}_{t}E\) :

Straightness error

\({C}_{r}E\) :

Circularity error

\({C}_{y}E\) :

Cylindricity error

ER-1 :

The predicted radial error considering the effect of tangential and radial forces

ER-2 :

The predicted radial error considering the effect of radial force only

References

  1. Herranz S, Campa FJ, Lopez de Lacalle LN, Rivero A, Lamikiz A, Ukar E, Sanchez JA, Bravo U (2003) The milling of airframe components with low rigidity: a general approach to avoid static and dynamic problems. IMechE, Part B: J Eng Manuf 219:789–801

    Article  Google Scholar 

  2. Michalowska MZ, Kuczmaszewski J, Legutko S (2020) Techniques for thin-walled element milling with respect to minimizing post-machining deformations. Materials 13:4723

    Article  Google Scholar 

  3. Meadows JD (2009) Geometric dimensioning and tolerancing - applications, analysis & measurement. James D. Meadows & Associates. Inc., Hendersonville

    Book  Google Scholar 

  4. ISO 1101:2017 (2017) Geometrical product specification (GPS)-Geometrical tolerancing- tolerances of form, orientation, location and runout. Geneva, Switzerland. https://www.iso.org/standard/66777.html

  5. Mackerle J (1999) Finite element analysis and simulation of machining: a bibliography (1976–1996). J Mater Process Technol 86(1–3):17–44

    Article  Google Scholar 

  6. Cheung E, Yuan W, Hua M (1999) Physical simulation of the deflection in turning of thin disk-shaped workpieces. Int J Adv Manuf Technol 15:863–868

    Article  Google Scholar 

  7. Li X (2001) Real time prediction of workpiece errors for a CNC turning center, Part 1. Measurement and identification. Int J Adv Manuf Technol 17:649–653

    Article  Google Scholar 

  8. Li X (2001) Real time prediction of workpiece errors for a CNC turning center, Part 4 Cutting forced induced errors. Int J Adv Manuf Technol 17:665–669

    Article  Google Scholar 

  9. Carrino L, Giorleo G, Polini W, Prisco U (2002) Dimensional errors in longitudinal turning based on the unified generalized mechanics of cutting approach. Part I: Three dimensional theory. Int J Mach Tools Manuf 42:1509–1515

    Article  Google Scholar 

  10. Carrino L, Giorleo G, Polini W, Prisco U (2002) Dimensional errors in longitudinal turning based on the unified generalized mechanics of cutting approach. Part II: Machining process analysis and dimensional error estimate. Int J Mach Tools Manuf 42:1517–1525

    Article  Google Scholar 

  11. Mayer JRR, Phan AV, Cloutier G (2000) Prediction of diameter errors in bar turning: a computationally effective model. Appl Math Model 24:943–956

    Article  Google Scholar 

  12. Phan AV, Baron L, Mayer JRR, Cloutier G (2003) Finite element and experimental studies of diametral errors in cantilever bar turning. Appl Math Model 27:221–232

    Article  Google Scholar 

  13. Qiang LZ (2000) Finite difference calculations of the deformations of the multi-diameter workpieces during turning. J Mater Process Technol 98(3):310–316

    Article  Google Scholar 

  14. Kaymakci M, Kilic ZM, Altintas Y (2012) Unified cutting force model for turning, boring, drilling and milling operations. Int J Mach Tools Manuf 54–55:34–45

    Article  Google Scholar 

  15. Penghao R, Aimin W, Long W, Dongxia L (2018) Simulation analysis of turning deformation of rotational thin-walled parts based on cutting force model. 2018 IEEE 9th Int Conf Mech Intell Manuf Technol ICMIMT 2018 2018-January:21–25. https://doi.org/10.1109/ICMIMT.2018.8340414

  16. Bera TC, Manikandan H, Bansal A, Nema D (2018) A method to determine cutting force coefficients in turning using mechanistic approach. Int J Mater Mech Manuf 6(2):99–103

    Google Scholar 

  17. Polini W, Prisco U (2003) The estimation of the diametric error in bar turning: a comparison among three cutting force models. Int J Adv Manuf Technol 22:465–474

    Article  Google Scholar 

  18. Benardos PG, Mosialos S, Vosniakos GC (2006) Prediction of workpiece elastic deflections under cutting forces in turning. Robot Comput Integr Manuf 22:505–514

    Article  Google Scholar 

  19. Malluck JA, Melkote SN (2004) Modeling of deformation of ring shaped workpieces due to chucking and cutting forces. ASME J Manuf Sci Eng 126:141–147

    Article  Google Scholar 

  20. Beekhuis B, Brinksmeier E, Garbrecht M, Solter J (2009) Improving the shape quality of bearing rings in soft turning by using a fast tool servo. Prod Eng Res Devel 3:69–474

    Article  Google Scholar 

  21. Beekhuis B, Stoebener D, Brinksmeier E (2012) Adapted non-circular soft turning of bearing rings-impacted of process machine interactions on compensation potentials. Procedia CIRP 1:540–545

    Article  Google Scholar 

  22. Stöbener D, Beekhuis B (2013) Application of an in situ measuring system for the compensation of wall thickness variations during turning of thin-walled rings. CIRP Ann - Manuf Technol 62:511–514. https://doi.org/10.1016/j.cirp.2013.03.129

  23. Heisel U, Kang C (2011) Model based form error compensation in the turning of thin-walled cylindrical parts. Prod Eng Res Devel 5(2):151–158

    Article  Google Scholar 

  24. Schindler S, Zimmermann M, Aurich JC, Steinmann P (2013) Modeling deformations of the workpiece and removal of material when turning. Procedia CIRP 8:39–44

    Article  Google Scholar 

  25. Toubhans B, Lorong P, Viprey F, Fromentin G, Karaouni H (2021) A versatile approach, considering tool wear, to simulate undercut error when turning thin-walled workpiece. Int J Adv Manuf Technol 115:1919–1929

    Article  Google Scholar 

  26. Toubhans B, Viprey F, Fromentin G, Karaouni H (2019) Prediction of form error during face turning on flexible Inconel 718 workpiece. Procedia CIRP 82:290–295

    Article  Google Scholar 

  27. Zhang B, Zhao C, Xu D, Wen B (2019) Simulation analysis and experimental verification of 2D shape and position error on-line detection for turning workpiece. Measurement 146:827–837

    Article  Google Scholar 

  28. Kilic B, Aguirre-Cruz JA, Raman S (2007) Inspection of the cylindrical surface feature after turning using coordinate metrology. Int J Mach Tools Manuf 47(12–13):1893–1903

    Article  Google Scholar 

  29. Lee JC, Shimizu Y, Gao W, Oh J, Park CH (2014) Precision evaluation of surface form error of a large scale roll workpiece on a drum roll lathe. Precis Eng 38:839–848

    Article  Google Scholar 

  30. Zheng P, Liu D, Zhao F, Zhang L (2019) An efficient method for minimum zone cylindricity error evaluation using kinematic geometry optimization algorithm. Measurement 135:886–895

    Article  Google Scholar 

  31. Shawky AM, Elbestawi MA (1996) In-process evaluation of workpiece geometrical tolerances in bar turning. Int J Mach Tools Manuf 36:33–46

    Article  Google Scholar 

  32. Estrems M, Arizmendi M, Zabaleta AZ, Gil A (2015) Numerical method to calculate the deformation of thin rings during turning operation and its influence on the roundness tolerance. Procedia Engineering 132:872–879

    Article  Google Scholar 

  33. Shunmugam MS (1986) On assessment of geometric errors. Int J Prod Res 24:413–425

    Article  Google Scholar 

  34. Namboothiri VNN, Shunmugam MS (1998) Function-oriented form evaluation of engineering surfaces. Precis Eng 22:98–109

    Article  Google Scholar 

  35. Samuel GL, Shunmugam MS (2003) Evaluation of circularity and sphericity from coordinate measurement data. J Mater Process Technol 139:90–95

    Article  Google Scholar 

  36. Cheng K (2009) Machining dynamics, fundamentals, applications and practices. Springer-Verlog London Limited, London

    Book  Google Scholar 

  37. Altintas Y (2012) Manufacturing Automation: metal cutting mechanics, machine tool vibrations and CNC design. Cambridge University Press, New York

    Google Scholar 

  38. Croppi L (2019) Modeling and optimization of turning process for thin-walled parts and slender tools. Dissertation, Universita Degli Studi di Firenze, Firenze

  39. Manikandan H (2020) Investigations on characterization of surface errors in turning of thin-walled components. Dissertation, Birla Institute of Technology and Science, Pilani

  40. Markopoulos P, Davim JP (2018) Advanced machining processes-innovative modeling techniques. CRC Press, Taylor & Francis Group, Florida

    Google Scholar 

  41. Boothroyd G, Knight WA (1989) Fundamentals of machining and machine tools. Marcel Dekker Inc, New York, USA

    Google Scholar 

  42. Davim JP (2008) Machining fundamentals and recent advances. Springer-Verlag London Limited, London, UK

    Google Scholar 

  43. Stephenson DA, Agapiou JS (2016) Metal cutting theory and practice. CRC Press Taylor & Francis Group, UK

    Book  Google Scholar 

  44. Zuo X, Zhang C, Li H, Wu X, Zhou X (2018) Error analysis and compensation in machining thin-walled workpieces based on the inverse reconstruction model. Int J Adv Manuf Technol 95:2369–2377

    Article  Google Scholar 

  45. Lee SW, Nestler A (2012) Virtual workpiece: workpiece representation for material removal process. Int J Adv Manuf Technol 58:443–463

    Article  Google Scholar 

Download references

Funding

This work is funded by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India (Project No: SB/FTP/ETA-03/2013).

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Contributions

Hareendran Manikandan: original draft writing, investigation, performing experimentation, validation, resources, software. Tufan Chandra Bera: conceptualization, investigation, methodology, formal analysis, reviewing, supervision.

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Correspondence to Tufan Chandra Bera.

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Manikandan, H., Bera, T.C. A turning simulation environment for geometric error estimation of thin-walled parts. Int J Adv Manuf Technol 119, 789–809 (2022). https://doi.org/10.1007/s00170-021-08298-3

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