Skip to main content
SpringerLink
Log in

A novel installation parameter optimization design method of forming tool for screw rotor

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Characterized by a complex contour profile involving arc, cycloid, and involute, the screw rotor is usually manufactured by a forming tool. The finished surface quality and efficiency of the screw rotor are determined by the cutting performance of the forming tool. However, the machining performance of the forming tool is closely related to the structure shape of cutting edge, which is then determined by the installation parameters of the forming tool. Therefore, to make the cutting performance of forming tool controllable, it is essential to investigate the relationship between the cutting performance of the forming tool and its installation parameters at the design stage. In this paper, a novel installation parameter optimization design method of forming tool for screw rotor is presented. A parametric optimization program is designed to finalize the range of installation parameters satisfying the spatial meshing relation and machining equipment parameters. The profile characteristics of forming tool under different center distances and mounting angles have been investigated. For validation, several screw rotors were ground in experiments and the resulted profile errors were analyzed. The results show that the cost of precision grinding of screw rotor can be significantly reduced, without compromise of machining quality. As such, the proposed design method could serve as a promising platform to facilitate screw rotor manufacture.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Availability of data and material

The authors confirm that the data supporting the findings of this study are available within the article.

References

  1. Kovacevic A, Stosic N, Mujic E, Smith IK (2007) CFD integrated design of screw compressors. Eng Appl Comput Fluid Mech 1:96–108

    Google Scholar 

  2. Litvin FL, Fuentes A (2004) Gear geometry and applied theory. Cambridge University Press, New York

    Book  Google Scholar 

  3. Wu X (2009) Theory of gearing. Xi'an Jiaotong University Press, Xi’an

  4. Tang Q, Zhang Y, Jiang Z, Yan D (2015) Design method for screw form cutter based on tooth profile composed of discrete points. J Mech Des 137(8):085002

    Article  Google Scholar 

  5. Wu YR, Fong ZH, Zhang ZX (2010) Simulation of a cylindrical form grinding process by the radial-ray shooting (RRS) method. Mech Mach Theory 45(2):261–272

    Article  Google Scholar 

  6. Li G (2017) A new algorithm to solve the grinding wheel profile for end mill groove machining. Int J Adv Manuf Technol 90(1–4):775–784

    Article  Google Scholar 

  7. Hoang MT, Wu YR, Tran VQ (2020) A general mathematical model for screw-rotor honing using an internal-meshing honing machine. Mech Mach Theory 154:104038

    Article  Google Scholar 

  8. Bizzarri M, Bartoň M (2021) Manufacturing of screw rotors via 5-axis double-flank cnc machining. Comput Aided Des 132:102960

    Article  MathSciNet  Google Scholar 

  9. Stosic N (2006) Evaluating errors in screw rotor machining by tool to rotor transformation. Proc Inst Mech Eng Part B J Eng Manuf 220:1589–1596

    Article  Google Scholar 

  10. Stosic N (2006) A geometric approach to calculating tool wear in screw rotor machining. Int J Mach Tools Manuf 46:1961–1965

    Article  Google Scholar 

  11. Tao L, Wang Y, He Y, Feng H, Ou Y, Wang X (2016) A numerical method for evaluating effects of installation errors of grinding wheel on rotor profile in screw rotor grinding. Proc Inst Mech Eng Part B J Eng Manuf 230:1381–1398

    Article  Google Scholar 

  12. Zhao Y, Zhao S, Wei W, Hou H (2017) Precision grinding of screw rotors using CNC method. Int J Adv Manuf Technol 89(9–12):2967–2979

    Article  Google Scholar 

  13. Hoang MT, Wu YR (2021) Error compensation method for milling single-threaded screw rotors with end mill tools. Mech Mach Theory 157:104170

    Article  Google Scholar 

  14. Xiang S, Li H, Deng M, Yang J (2018) Geometric error analysis and compensation for multi-axis spiral bevel gears milling machine. Mech Mach Theory 121:59–74

    Article  Google Scholar 

  15. Ding H, Tang J, Zhong J (2016) Accurate nonlinear modeling and computing of grinding machine settings modification considering spatial geometric errors for hypoid gears. Mech Mach Theory 99:155–175

    Article  Google Scholar 

  16. Shih YP, Chen SD (2012) A flank correction methodology for a five-axis CNC gear profile grinding machine. Mech Mach Theory 47:31–45

    Article  Google Scholar 

  17. Liu Z, Tang Q, Liu N, Song J (2019) A profile error compensation method in precision grinding of screw rotors. Int J Adv Manuf Technol 100(9–12):2557–2567

    Article  Google Scholar 

  18. Zhang ZX, Fong ZH (2015) A novel tilt form grinding method for the rotor of dry vacuum pump. Mech Mach Theory 90:47–58

    Article  Google Scholar 

  19. Deng D, Shu P (1982) Rotary Compressor. China Machine Press Beijing

  20. Chiang C, Fong Z (2010) Design of form milling cutters with multiple inserts for screw rotors. Mech Mach Theory 45:1613–1627

    Article  Google Scholar 

Download references

Funding

This work was financially supported by the National Key Research and Development Program of China (grant number 2018YFB1701203), the Doctoral Funding of Chongqing University of Chongqing Technology and Business University (grant number 1956029), the opening project of the international joint research center for healthcare in service of China-Canada equipment system (grant number KFJJ2019061), scientific research project of Chongqing Technology and Business University (no. 2152015), and key research platform research team project of Chongqing Technology and Business University (No.ZDPTTD201918).

Author information

Authors and Affiliations

  1. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, 400067, People’s Republic of China

    Zongmin Liu

  2. School of Mechanical Engineering, Chongqing Technology and Business University, Chongqing, 400067, People’s Republic of China

    Zongmin Liu & Jirui Wang

  3. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, People’s Republic of China

    Qian Tang

  4. Virtual Manufacturing Group, Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre, CleanTech Two, 3 Cleantech Loop, #01-01, Singapore, 637143, Singapore

    Ning Liu

  5. Chongqing Innovation Center of Industrial Big-Data Co. Ltd., National Engineering Laboratory for Industrial Big-data Application Technology, Chongqing, 400707, People’s Republic of China

    Zongmin Liu & Bin Xing

Authors
  1. Zongmin Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jirui Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qian Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ning Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bin Xing
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All authors contributed to the study conception and design. Zongmin Liu performed the data analyses and wrote the manuscript. Jirui Wang performed the experiment. Ning Liu contributed significantly to analysis and manuscript preparation. Qian Tang and Bin Xing helped perform the analysis with constructive discussions. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Ning Liu or Bin Xing.

Ethics declarations

Ethics approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

The manuscript is approved by all the authors for publication.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Fig. 13
figure 13figure 13figure 13

The results of the experiments. a Center distance 176.500 mm, mounting angle 43.171°. b Center distance 176.500 mm, mounting angle 44.171°. c Center distance 176.500 mm, mounting angle 45.171°. d Center distance 176.500 mm, mounting angle 46.171°. e Center distance 136.500 mm, mounting angle 46.171°. f Center distance 156.500 mm, mounting angle 46.171°

Full size image

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Z., Wang, J., Tang, Q. et al. A novel installation parameter optimization design method of forming tool for screw rotor. Int J Adv Manuf Technol 120, 7325–7340 (2022). https://doi.org/10.1007/s00170-022-09246-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-022-09246-5

Keywords

Search

Navigation