Manufacturing Technology 2024, 24(1):73-82 | DOI: 10.21062/mft.2024.004

Parameter Optimization Study of Ultra-High Speed Cutting by DOE Method

Dongya Li ORCID..., Yichen Jiang ORCID..., Shuang Wang ORCID..., Yifan Wu ORCID...
Applied Technology College of Soochow University, Suzhou 215000, China

With the increasing demand for high-quality flange, there is a greater need for high-quality and high-speed machining technology. Aiming at the difficulty of surface roughness in meeting design requirements and poor machining stability of 7075 aluminum alloy, the classical Design of Experiments (DOE) method is employed to optimize the machining parameters and identify eight pertinent factors. By selecting the feed rate and cutting speed as the two significant factors, a  mathematical model of roughness is derived, and the theoretically optimal machining parameters are determined. According to corresponding experimental results, the roughness, the parallelism of the two end faces of the flange, and machining efficiency, in order to further validate the accuracy of the model. The final processing parameters are 0.07 mm.r-1 feed rate and 1100 m.min-1 cutting speed, which provide a reference for actual production.

Keywords: Ultra-precision, DOE, Flange, Processing, Optimization study

Received: August 5, 2023; Revised: November 16, 2023; Accepted: January 2, 2024; Prepublished online: January 24, 2024; Published: February 23, 2024  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Li D, Jiang Y, Wang S, Wu Y. Parameter Optimization Study of Ultra-High Speed Cutting by DOE Method. Manufacturing Technology. 2024;24(1):73-82. doi: 10.21062/mft.2024.004.
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. LIANG, L. L.(2018).Discussion on flange machining process and tooling design. Modern Salt and Chemical Industry, vol. 45, no. 1, pp. 66-67.
    2. CHEN, W. Q.(2019). Research on the method of ultra-mirror surface grinding and polishing based on creative machining. Manufacturing Technology & Machine Tool, no. 6, pp. 46-51.
    3. AKRAM,S.,JAFFERY, S. H. I.,KHAN, M.,FAHAD, M.,MUBASHAR, A.,ALI, L. (2018). Numerical and experimental investigation of Johnson-Cook material models for aluminum (Al 6061-T6) alloy using or-thogonal machining approach. Advances in Mechanical Engineering, vol. 10, no. 9, pp. 1-14. https://doi.org/10.1177/1687814018797794 Go to original source...
    4. ZHAO,L. L.,FAN, S. H.,LV, Q. W.,XU, W. H. (2021). Application of Design of Experiment Based on Minitab/TURN5DOE in Quality Management. Machine Tool & Hydraulics, vol. 49, no. 13, pp. 25-28.
    5. HAZIR,E.,ERDINLER, E. S.,KOC, K. H. (2018). Optimization of CNC cutting parameters using design of experiment (DOE) and desirability function. Journal of Forestry Research, vol. 29, no. 5, pp. 1423-1434. https://doi.org/10.1007/s11676-017-0555-8 Go to original source...
    6. XIAO,C. J.,ZHU, L. Y.,LI, J.,LI, Z. X. (2016). Preparation and Cutting Research of Single Crystal Diamond Tool for Cutting Magnesium-Aluminum Alloy. Tool Engineering, vol. 50, no. 6, pp. 51-55.
    7. HAN,J. G.,JIAO, Z. Q.(2017). Study on Heat Treatment Process and Microstructure Properties of 7075 Aluminum Alloy. Foundry Technology, vol. 38, no. 12, pp. 2854-2857. DOI:10.16410/j.issn1000-8365.2017.12.017 Go to original source...
    8. LIU,L.,CAO, C., LV,Q. Y. (2022). Analysis and Optimization of Forming Precision of Axial Fan Blade Based on DOE and RSM. Materials Reports, vol. 36, no. 22, pp. 262-266.
    9. HU,K. Y.,LI, H. B.,YIN, X. Y.,WANG, L. G. (2023). Optimization of Injection Process Parameters for Outer Cover of Glove Box Based on DOE and SNR. Plastics, vol. 52, No. 3, pp. 98-102.
    10. TAN,L. Y.,LU, Y.,LIU, Q.,ZHANG, Z. B.(2022). The performance analysis and optimization of steel-aluminum hybrid motorcycle frame based on HS-DOE method. Modern Manufacturing Engineering, no. 1, pp. 61-66+90.
    11. BOLIBRUCHOVÁ, D., KURIİ, M., & MATEJKA, M. (2019). Effect of Zr on selected properties and porosity of AlSi9Cu1Mg alloy for the purpose of production of high-precision castings. Manufacturing Technology, vol. 19, no. 4, pp. 552-558. DOI: 10.21062/ujep/333.2019/a/1213-2489/MT/19/4/552 Go to original source...
    12. HAN,Z. Q.,ZUO, X. D.,ZHOU, Y. J.,LIU, S. Z.,JIN, M. J. (2022). Calculation of Impact Coefficient of Long-span Curved Continuous Rigid Frame Bridge Based on Principal Component-stepwise Regression. Journal of Highway and Transportation Research and Development, vol. 39, no. 1, pp. 72-80. Go to original source...
    13. MA, C.G., QI, S.Y., LI, S., XU, H.Y., HE, X.L.(2014). Melting purification process and refining effect of 5083 Al-Mg alloy. Transactions of Nonferrous Metals Society of China, vol. 24, no. 5, pp. 1346-1351. Go to original source...
    14. XIONG,R. L.,LIU, X. B.,XIONG, Z. W.,ZHANG, S. J.,ZHAO, L. (2020). Experimental study on surface morphology of ultra-precision turning. Manufacturing Technology & Machine Tool, no. 7, pp. 72-75.
    15. LI,G.,YAO, Y., CHEN,X. W.,SHEN, L. J. (2023). Optimization for locomotive yaw damper's layouts and parameters based on full factor DOE. Journal of Central South University (Science and Technology), vol. 54, no. 5, pp. 2074-2084. https://dx.doi.org/10.11817/j.issn.1672-7207.2023.05.038 Go to original source...
    16. ZHANG, H., CHEN, H., & HU, L. (2022). Research on Grinding Parameters of Parts with Same Clamping Mode and Different Sizes. Manufacturing Technology, vol. 22, no. 3, pp. 377-383.DOI: 10.21062/mft.2022.035 Go to original source...
    17. LI,Q.,BAI, Z. D.,ZHAO, S. H.,DAI, D. K.,XING, H. F. (2019). Performance evaluation of the Allan variance method for ring laser gyroscope noise analyses. Journal of Tsinghua University (Science and Technology), vol. 59, no. 11, pp. 887-894.
    18. SCHULZE,V.,AUTENRIETH, H.,DEUCHERT, M.,WEULE, H. (2010). Investigation of surface near residual stress states after micro-cutting by finite element simulation. CIRP Annals-Manufacturing Technolo-gy, vol. 59, no. 1, pp. 117-120. https://doi.org/10.1016/j.cirp.2010.03.064 Go to original source...
    19. WANG,H. L.,WANG, S. J. (2023). Finite Element Simulation and Experimental Study of Aluminum Al-loy 6061 in Ultra-Precision Machining. Machinery Design & Manufacture, no. 7, pp. 147-150.
    20. HAZIR, E., ERDINLER, E. S., & KOC, K. H. (2018). Optimization of CNC cutting parameters using design of experiment (DOE) and desirability function. Journal of Forestry Research, vol. 29, pp. 1424-1434. 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