Manufacturing Technology 2024, 24(2):197-206

Carbide Twist Drill Spiral Groove Abrasive Flow Polishing and Abrasive Flow Analysis

Tian Ji ORCID...1, Lintao Lu ORCID...2, Boming Ren ORCID...3, Guihong Bian ORCID...4, Shengli Huang ORCID...5

This paper carries out the simulation of abrasive flow for twist drill spiral grooves and the experimental study of abrasive flow polishing. The flow of abrasive in spiral groove in abrasive flow polishing twist drill was analyzed by CFD using FLUENT software. Different inlet speeds and abrasive concentrations were used as parameters for simulation calculations to obtain the state parameters of dynamic pressure and abrasive velocity in the flow channel, and to analyse their effects on the abrasive flow in the spiral groove. The analysis results show that the dynamic pressure in the twist drill spiral groove increases with the increase of inlet speed, and becomes smaller as the abrasive flows along the spiral surface. Under the condition of different abrasive concentrations, the velocity of abrasive decreases with the increase of abrasive concentration. Under the same abrasive concentration condition, the abrasive velocity decreases gradually from inlet to outlet. For actual processing, the abrasive concentration can be selected between 50-60%. Based on the simulation analysis results, the parameters of abrasive flow polishing process were set, the orthogonal test method was adopted, and the test data were analysed by the polar analysis method the results showed that the priority order of the influencing factors of spiral groove polishing was: abrasive type > inlet speed > polishing time. Using SiC abrasive, inlet speed 0.5 m.s-1, polishing time30 min, the surface roughness of the spiral groove of cemented carbide twist drill after polishing is the minimum, reaching Ra0.189, which is far less than the design requirements.

Keywords: Twist Drill Spiral Groove, CFD Analysis, AFM Polishing
Grants and funding:

The authors are very grateful to the Province Education Department Science and Technology Foundation of Liaoning (under grant No.JYTMS20230397) for its financial support for this project

Received: October 19, 2023; Revised: April 17, 2024; Accepted: April 19, 2024; Prepublished online: April 19, 2024; Published: April 30, 2024  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Ji T, Lu L, Ren B, Bian G, Huang S. Carbide Twist Drill Spiral Groove Abrasive Flow Polishing and Abrasive Flow Analysis. Manufacturing Technology. 2024;24(2):197-206.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. SHEN, Y., BAI, H.Q. (2018). Study on cutting performance of different truncated twist drill. Journal of Shaanxi University of Technology (Natural Science Edition), Vol. 34, No. 4, pp. 7-11+22.
    2. MENG, Y., YAO, J.W. (2022). Spiral Flute Internal Cooling Hole Processing Technology of Drill with Indexable Inserts. Tool Engineering, Vol. 56, No. 7, pp. 119-121. Doi:10.3969/j.issn.1000-7008.2022.07.024 Go to original source...
    3. WANG, Y.Q., HE, Z., YAO, B., YOU, M.L., XU, A.Q. (2020). Calculation of Grinding Profile of Com-plicated Spiral Groove Surface of Twist Drill by Sectional Form Grinding. Tool Engineering, Vol. 54, No. 2, pp. 29-33. Doi:10.3969/j. issn.1000-7008.2020.02.007 Go to original source...
    4. SHEN, Y., BAI, H.Q., WANG, P. (2018). The 3D modeling studies of standards twist drill. Modern Manufacturing Engineering, No. 3, pp. 120-124. Doi:10.16731/j.cnki.1671-3133.2018.03.022 Go to original source...
    5. YU, Y.M., LI, F. (2014). Development of active copying polishing machine for metal grooved drum spiral groove. Manufacturing Technology & Machine Tool, No. 7, pp. 98-101.
    6. WAN, S., ANG, Y. J., SATO, T., & LIM, G. C. (2014). Process modeling and CFD simulation of two-way abrasive flow machining. The International Journal of Advanced Manufacturing Technology, Vol. 71, pp. 1077-1086. Doi: 10.1007/s00170-013-5550-4 Go to original source...
    7. UHLMANN, E., SCHMIEDEL, C., & WENDLER, J. (2015). CFD simulation of the abrasive flow machining process. Procedia CIRP, Vol. 31, pp. 209-214. Doi:10.1016/j.procir.2015.03.091 Go to original source...
    8. WEI, L.L., LI, J.Y., LI, D.N., ZHOU, L.B. (2017). Study on Numerical Simulation of Helical Gear with Solid Liquid Two Phase Abrasive Flow. Journal of Changchun University of Science and Technology (Natural Science Edition), Vol. 40, No. 3, pp. 54-58.
    9. JAIN, V. K., KUMAR, R., DIXIT, P. M., & SIDPARA, A. (2009). Investigations into abrasive flow finishing of complex workpieces using FEM. Wear, Vol. 267, No. 1-4, pp. 71-80. Doi:10.1016/j.wear.2008.11.005 Go to original source...
    10. FU, Y., GAO, H., YAN, Q., WANG, X., & WANG, X. (2020). Rheological characterisation of abrasive media and finishing behaviours in abrasive flow machining. The International Journal of Advanced Manufacturing Technology, Vol. 107, pp. 3569-3580. Doi:10.1007/s00170-020-05288-9 Go to original source...
    11. WEI, H., PENG, C., GAO, H., WANG, X., & WANG, X. (2019). On establishment and validation of a new predictive model for material removal in abrasive flow machining. International Journal of Machine Tools and Manufacture, Vol. 138, pp. 66-79. Doi:10.1016/j.ijmachtools.2018.12.003 Go to original source...
    12. FENG, Z.B., ZHANG, B.Q. (2017). Simulation and Analysis of Flow Field in the Inner Wall of Grinding and Polishing Stainless Steel Elbow. Mechanical Engineer, No. 5, pp. 25-27.
    13. YIN, H.C., LIU, X., ZAI, Z.D., MU, L. (2021). Numerical Simulation of Abrasive Flow Machining in Multi-angle Elbows. China Mechanical Engineering, Vol. 32, No. 11, pp. 1299-1306. Doi:10.3936/j.issn.1004-132X.2021.11.005 Go to original source...
    14. LU, H. (2020). Numerical Simulation and Experimental Study on Large Eddy of S-Bend Pipe. Changchun University of Science and Technology. Doi:10.26977/d.cnki.gccgc.2020.000752 Go to original source...
    15. ZHANG, M.L., SHEN, Y.M. (2007). Application of 3-D RNG k-ε turbulence model of meandering river. Journal of Hydroelectric Engineering, No. 5, pp. 86-91.
    16. JAIN, V. K., & ADSUL, S. G. (2000). Experimental investigations into abrasive flow machining (AFM). International Journal of Machine Tools & Manufacture, Vol. 40, No. 7, pp. 1003-1021. https://doi.org/10.1016/S0890-6955(99)00114-5 Go to original source...
    17. PAPROCKI, M., WYGODA, M., WYCZESANY, P., BAZAN, P. (2021). Symptoms of wear HSS cutting tools in different wear stages. Manufacturing Technology, Vol. 21, No. 3, pp. 387-397. Doi: 10.21062/mft.2021.047 Go to original source...
    18. ZHANG, L., WU, S.J., LI, J.Y., ZHANG, X.M., YIN, Y.L. (2016). The Abrasive Flow Polishing Re-search of Servo Valve Core in the Physical Coupling Field of Solid-liquid Two-phase. Journal of Changchun University of Science and Technology (Natural Science Edition), Vol. 39, No. 4, pp. 87-89+96.
    19. TANG, L.B., WEN, D.H., KONG, F.Z., YUAN, Q.L. (2023). Research on Wall Effect of Abrasive Flow Machining. China Mechanical Engineering, Vol. 34, No. 9, pp. 1077-1085. Doi:10.3969/j.issn.1004-132X.2023.09.008 Go to original source...
    20. LIU, Y., LI, J.Y., SU, N.N., ZHU, X. (2021). Numerical Simulation and Experimental Optimization of Abrasive Flow Polishing Elbow. Machinery Design & Manufacture, No. 7, pp. 137-140. Doi:10.19356/j.cnki.1001-3997.2021.07.033 Go to original source...
    21. «AVODOVÁ, M., D®UPON, M., VARGOVÁ, M., STANÈEKOVÁ, D., KRILEK, J. (2024). Observations of the Amount of Wear and the Microstructure of Hardfacing Layers after the Test of Resistance to Abrasive Wear. Manufacturing Technology, Vol. 24, No. 1, pp. 131-140. Doi: 10.21062/mft.2024.003 Go to original source...
    22. XU, Z.A., WANG, T.B., LI, C.Y., BAO, L.Y., MA, Q.M., MIAO, Y.N. (2002). Brief Introduction to the Orthogonal Test Design. Journal of Library and Information Science, No. 5, pp. 148-150.
    23. PANG, C.M., HUANG, H. (2018). Optimal design of testing scheme and data analysis. Southeast University Press.
    24. KAMMINANA, R., KAMBAGOWNI, V.S. (2022). Multi-Response Optimization of Friction Stir Welding of AA2050 Using Response Surface Methodology Coupled with Grey Relational Analysis and Principal Component Analysis. Manufacturing Technology, Vol. 22, No. 2, pp. 156-167. Doi: 10.21062/mft.2022.016 Go to original source...

    This is an open access article distributed under the terms of the Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content