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A novel general mathematical model for machining globoid screw rotor surfaces using a disk-type cutting tool

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Abstract

Workpieces with a globoid shape have been used extensively in industry. However, its hourglass shape increases machining difficulty and requires exact accuracy during manufacturing. The issues could be remedied using a different manufacturing procedure to minimize machining difficulties. As a result, our research developed a way to reduce machining challenges. The novelty of the study is the general mathematical model for machining the globoid screw rotor surface. The machining process on both flank surfaces of the workpiece is conducted simultaneously using a disk-type cutting tool. Analytical and virtual cutting simulations on globoid screw rotor surface machining are investigated. The machine setting and the coordinate system are proposed. A mathematical model for the surface of the tool and workpiece is presented. The generation of the workpiece surface on the offered machine is investigated. The machining process simulation of the globoid screw rotor surface by the disk-type cutting tool is performed. The numerical solution of cutting points and the normal deviation of the globoid rotor surface are solved. Sensitivity analysis, additional movements, cutting tool assembly error, and the numerical solution for machine-axis settings using the Levenberg–Marquardt algorithm are conducted. Virtual cutting simulation is presented using VERICUT. Verification of mathematical modeling is performed. The hourglass worm and the roller-gear cam are taken as numerical examples. Results from the machining examples are presented to verify the advantages of manufacturing the globoid rotor surfaces in the proposed method.

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All data generated or analyzed during this study are included in the manuscript.

References

  1. Andrianto M, Wu YR, Arifin A (2022) A novel manufacturing method for double-enveloping worms using a whirl-machining process. Mech Mach Theory 179:105099. https://doi.org/10.1016/j.mechmachtheory.2022.105099

    Article  Google Scholar 

  2. Radzevich SP (2018) Theory of gearing kinematics, geometry, and synthesis, second edition: revised and expanded edn. Taylor & Francis Group, LLC

    Book  Google Scholar 

  3. Zhou W, Tang J, Chen H, Shao W, Zhao B (2019) Modeling of tooth surface topography in continuous generating grinding based on measured topography of grinding worm. Mech Mach Theory 131:189–203. https://doi.org/10.1016/j.mechmachtheory.2018.10.001

    Article  Google Scholar 

  4. Wang Y, Chen Y, Zhou G, Lv Q, Zhang Z, Tang W, Liu Y (2016) Roughness model for tooth surfaces of spiral bevel gears under grinding. Mech Mach Theory 104:17–30. https://doi.org/10.1016/j.mechmachtheory.2016.05.016

    Article  Google Scholar 

  5. Yang YC, Wu YR, Tsai TM (2022) An analytical method to control and predict grinding textures on modified gear tooth flanks in CNC generating gear grinding. Mech Mach Theory 177:105023. https://doi.org/10.1016/j.mechmachtheory.2022.105023

    Article  Google Scholar 

  6. Simon VV (2023) Grinding of hypoid gears by applying generating and Waguri motions. Mech Mach Theory 179:105100. https://doi.org/10.1016/j.mechmachtheory.2022.105100

    Article  Google Scholar 

  7. Beaucamp A, Kirsch B, Zhu W (2022) Advances in grinding tools and abrasives. CIRP Ann 71:623–646. https://doi.org/10.1016/j.cirp.2022.05.003

    Article  Google Scholar 

  8. Nair R, Paul L (2022) Advancements in abrasive electrical discharge grinding (AEDG): a review. Mater Today 72:2897–2903. https://doi.org/10.1016/j.matpr.2022.07.413

    Article  Google Scholar 

  9. Wei L, Liang JW, Gui L, Bo W, Alsoufi MS, Elsheikh A, Ibrahim AMM (2022) Analysis of large edge breakage of WC-Co cemented carbide tool blades emerging in precision grinding process. J Mater Res Technol 19:3916–3929. https://doi.org/10.1016/j.jmrt.2022.06.103

    Article  Google Scholar 

  10. Pervez MR, Ahamed MH, Ahmed MA, Takrim SM, Dario P (2022) Autonomous grinding algorithms with future prospect towards SMART manufacturing: a comparative survey. J Manuf Syst 62:164–185. https://doi.org/10.1016/j.jmsy.2021.11.009

    Article  Google Scholar 

  11. Denkena B, Schindler A, Woiwode S (2016) Calculation method of the contact area in flank machining for continuous generating grinding. Appl Math Model 40:7138–7146. https://doi.org/10.1016/j.apm.2016.02.030

    Article  Google Scholar 

  12. Santander JLG (2015) Analytic solution for maximum temperature during cut in and cut out in surface dry grinding. Appl Math Model 40:2356–2367. https://doi.org/10.1016/j.apm.2015.09.031

    Article  Google Scholar 

  13. Shiau TN, Huang KH, Wang FC, Chen KH, Kuo CP (2010) Dynamic response of a rotating ball screw subject to a moving regenerative force in grinding. Appl Math Model 34:1721–1731. https://doi.org/10.1016/j.apm.2009.09.018

    Article  Google Scholar 

  14. Stepien P (2009) A probabilistic model of the grinding process. Appl Math Model 33:3863–3884. https://doi.org/10.1016/j.apm.2009.01.005

    Article  Google Scholar 

  15. Skuratov DL, Ratis YL, Selezneva IA, Perez J, Cordoba PF, Urchueguıa JF (2007) Mathematical modelling and analytical solution for workpiece temperature in grinding. Appl Math Model 31:1039–1047. https://doi.org/10.1016/j.apm.2006.03.023

    Article  Google Scholar 

  16. Wu YR, Hsu WH (2014) A general mathematical model for continuous generating machining of screw rotors with worm-shaped tools. Appl Math Model 38:28–37. https://doi.org/10.1016/j.apm.2013.05.056

    Article  Google Scholar 

  17. Bartkowska D, Bartkowski R, Swadźba DP, Miklaszewski A (2018) Microstructure, chemical composition, wear, and corrosion resistance of FeB–Fe2B–Fe3B surface layers produced on Vanadis-6 steel using CO2 laser. Int J Adv Manuf Technol 95:1763–1776. https://doi.org/10.1007/s00170-017-1304-z

    Article  Google Scholar 

  18. Bartkowski D, Bartkowska A, Popławski M, Przestacki D (2020) Microstructure, microhardness, corrosion and wear resistance of B, Si and B-Si coatings produced on C45 steel using laser processing. Metals 10:792. https://doi.org/10.3390/met10060792

    Article  Google Scholar 

  19. Bendoumia A, Makuchb N, Chegrounea R, Kulkab M, Keddama M, Dziarskib P, Przestacki D (2020) The effect of temperature distribution and cooling rate on microstructure and microhardness of laser re-melted and laser-borided carbon steels with various carbon concentrations. Surf Coat Technol 387:125541. https://doi.org/10.1016/j.surfcoat.2020.125541

    Article  Google Scholar 

  20. Sika R, Rogalewicz M, Popielarski P, Czarnecka-Komorowska D, Przestacki D, Gawdzinska K, Szymanski P (2020) Decision support system in the field of defects assessment in the metal matrix composites castings. Materials 13:3552. https://doi.org/10.3390/ma13163552

    Article  Google Scholar 

  21. Kukliński M, Bartkowska A, Przestacki D (2018) Microstructure and selected properties of Monel 400 alloy after laser heat treatment and laser boriding using diode laser. Int J Adv Manuf Technol 98:3005–3017. https://doi.org/10.1007/s00170-018-2343-9

    Article  Google Scholar 

  22. Zhou R, Zhao N, Li W, Li R, Guo G, Guo H (2019) A grinding method of face gear mating with a conical spur involute pinion. Mech Mach Theory 141:226–244. https://doi.org/10.1016/j.mechmachtheory.2019.07.013

    Article  Google Scholar 

  23. Guo H, Zhang S, Wu T, Zhao N (2021) An approximate design method of grinding worm with variable meshing angle and grinding experiments of face gear. Mech Mach Theory 166:104461. https://doi.org/10.1016/j.mechmachtheory.2021.104461

    Article  Google Scholar 

  24. Wang Y, Chu X, Huang Y, Su G, Liu D (2019) Surface residual stress distribution for face gear under grinding with a long-radius disk wheel. Int J Mech Sci 159:260–266. https://doi.org/10.1016/j.ijmecsci.2019.06.004

    Article  Google Scholar 

  25. Wang Y, Liu Y, Chu X, He Y, Zhang W (2017) Calculation model for surface roughness of face gears by disc wheel grinding. Int J Mach Tools Manuf 123:76–88. https://doi.org/10.1016/j.ijmachtools.2017.08.002

    Article  Google Scholar 

  26. Litvin FL, Fuentes A (2004) Gear Geometry and Applied Theory, 2nd edn. Cambridge University Press, Cambridge, UK

    Book  Google Scholar 

  27. Shih YP, Sun ZH, Wu FC (2018) A disk tool cutting method for bevel gear manufacture on a five-axis machine. Int J Adv Manuf Technol 94:855–865. https://doi.org/10.1007/s00170-017-0918-5

    Article  Google Scholar 

  28. Pham TT, Ko SL (2010) A manufacturing model of an end mill using a five-axis CNC grinding machine. Int J Adv Manuf Technol 48:461–472. https://doi.org/10.1007/s00170-009-2318-y

    Article  Google Scholar 

  29. Liu Z, Lu H, Wang S, Yu G (2018) Digitization modeling and CNC machining for cone-generated double-enveloping worm drive. Int J Adv Manuf Technol 95:3393–3412. https://doi.org/10.1007/s00170-017-1404-9

    Article  Google Scholar 

  30. Arifn A, Wu YR, Andrianto M (2022) Prediction model for rapidly generating rotor profile and surface cutting marks by insert-cutting trajectory (ICT) method in screw rotor milling. Int J Adv Manuf Technol 123:4137–4152. https://doi.org/10.1007/s00170-022-10378-x

    Article  Google Scholar 

  31. Lu YA, Wang CY, Zhou L (2019) Geometric deviation evaluation for a five-axis flank milling tool path using the tool swept envelope. Int J Adv Manuf Technol 105:1811–1821. https://doi.org/10.1007/s00170-019-04397-4

    Article  Google Scholar 

  32. Li G (2017) A new algorithm to solve the grinding wheel profile for end mill groove machining. Int J Adv Manuf Technol 90:775–784. https://doi.org/10.1007/s00170-016-9408-4

    Article  Google Scholar 

  33. Andrianto M, Wu YR, Arifn A (2023) Mathematical modeling on a novel manufacturing method for roller-gear cams using a whirl-machining process. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-023-10990-5

  34. Lu H, Liu Z, Wang S (2014) Digitization modeling and CNC machining for enveloping surface parts. Int J Adv Manuf Technol 73:209–227. https://doi.org/10.1007/s00170-014-5777-8

    Article  Google Scholar 

  35. Tran VQ, Wu YR (2020) A novel method for closed-loop topology modification of helical gears using internal-meshing gear honing. Mech Mach Theory 145:103691. https://doi.org/10.1016/j.mechmachtheory.2019.103691

    Article  Google Scholar 

  36. Wang Y, Hou L, Lan Z, Zhu C (2017) Precision milling method for face-gear by disk cutter. Int J Adv Manuf Technol 89:1545–1558. https://doi.org/10.1007/s00170-016-9189-9

    Article  Google Scholar 

  37. Abbas AT (2004) A general algorithm for profiling and dressing grinding wheels when using a grinding spindle on a CNC lathe. Int J Prod Res 42(18):3995–4008. https://doi.org/10.1080/00207540410001688374

    Article  Google Scholar 

  38. Yang M, Kim C (1992) A CAD/CAM system for spatial cams. Int J Prod Res 30(12):2797–2811. https://doi.org/10.1080/00207549208948191

    Article  Google Scholar 

  39. Singh N, Sushil (1990) A physical system theory framework for modelling manufacturing systems. Int J Prod Res 28(6):1067–1082. https://doi.org/10.1080/00207549008942776

    Article  Google Scholar 

  40. Wu MF, Chen HY, Chang TC, Wu CF (2019) Quality evaluation of internal cylindrical grinding process with multiple quality characteristics for gear products. Int J Prod Res. https://doi.org/10.1080/00207543.2019.1567951

  41. Lee RS, Lee JN (2002) New method of tool orientation determination by enveloping element for five-axis machining of spatial cam. Int J Prod Res 40(10):2379–2398. https://doi.org/10.1080/00207540210134498

    Article  Google Scholar 

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Funding

The authors express sincere gratitude to the National Science and Technology Council (NSTC) in Taiwan (R.O.C.) for its financial support under project number: 111-2221-E-008-076-MY2.

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Moeso Andrianto constructed the research design, accomplished the analytical simulation, conducted the virtual simulation, and composed the manuscript (main contributor); Yu-Ren Wu earned the funding and directed the research implementation, whereas Achmad Arifin supervised the analytical and virtual simulation. All authors worked concurrently to proofread and structure the submission.

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Correspondence to Yu-Ren Wu.

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Andrianto, M., Wu, YR. & Arifin, A. A novel general mathematical model for machining globoid screw rotor surfaces using a disk-type cutting tool. Int J Adv Manuf Technol 130, 4769–4789 (2024). https://doi.org/10.1007/s00170-024-13000-4

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