Measurement of ultrasonic assisted grinding temperature based on fiber Bragg grating (FBG) sensor

ORIGINAL ARTICLE
  • 97 Downloads

Abstract

While carbon fiber reinforced polymer (CFRP) is processed by utilizing the ultrasonic vibration assisted grinding (UVAG) method, grinding heat is always one of the key factors affecting the surface quality of workpieces due to its special structure and physical properties. The relationship between the grinding temperature and parameters for grinding CFRP was primarily studied here, and the advantage (reducing grinding heat) of UVAG was verified in comparison with that of the conventional grinding. The grinding temperature was simulated first by using the FE model and then a fiber Bragg grating (FBG) sensor was utilized to measure the grinding temperature and verify the corresponding simulation results. The analysis results indicate that the UVAG temperature is far below the conventional grinding temperature which is remarkably influenced by the grinding depth; moreover, spindle speed and feed rate have similar effects on the grinding temperature. At last, we find FBG sensors are a kind of excellent temperature measurement devices for the UVAG method. Our research results have reference significance to how to achieve good grinding surface quality.

Keywords

Fiber Bragg grating (FBG) sensor Carbon fiber reinforced polymer (CFRP) Ultrasonic vibration assisted grinding (UVAG) Temperature 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Liu SL, Chen T, Wu CQ (2017) Rotary ultrasonic grinding of carbon fiber reinforced plastic (CFRP): a study on cutting force model. Int J Adv Manuf Techol 89(1):847–856CrossRefGoogle Scholar
  2. 2.
    Liu J, Chen G, Ji C, Qin X, Li H, Ren C (2014) An investigation of workpiece temperature variation of helical milling for carbon fiber reinforce plastics(CFRP). Int J Mach Tools Manuf 86:89–103CrossRefGoogle Scholar
  3. 3.
    Wang X, Zhou M, Gan GK, Ngoi B (2002) Theoretical and experimental studies of ultraprecision machining of brittle materials with ultrasonic vibration. Int J Adv Manuf Technol 20(2):99–102CrossRefGoogle Scholar
  4. 4.
    Varghess B, Malkin S (1998) Experimental investigation of methods to enhance stock removal for super finishing. Ann CIRP 47(1):231–234CrossRefGoogle Scholar
  5. 5.
    Yang XH, Han JC (2007) Experimental study on ultrasonic vibration grinding of brittle optical materials. Opt Tech 33(1):67–69Google Scholar
  6. 6.
    Rowe WB, Black SCE, Mills B, Morgan MN, Qi HS (1997) Grinding temperatures and energy partitioning. Proc Math Phy Eng Sci 453:1083–1104CrossRefGoogle Scholar
  7. 7.
    Deng ZH, Liu T, Liao LP, Liu W, Wan LL, Peng KL (2016) Experimental investigation on temperature in camshaft high speed grinding. China Mech Eng 27(20):2717–2722Google Scholar
  8. 8.
    Lv CF, Wu XY, Zheng JM (2016) Exploring 3D analytical modeling of grinding temperature. Mech Sci Technol Aerosp Eng 35(6):918–923Google Scholar
  9. 9.
    Huang SL (2008) A comparative study of thermocouple and infrared temperature detections. Lighting China 7:60–60Google Scholar
  10. 10.
    Zhang DK, Li CH, Jia DZ, Zhang YB (2015) Grinding temperature field modeling with heat analysis and experimental verification. Manuf Technol Mach Tool 4:82–87Google Scholar
  11. 11.
    Costa VAF, Sousa ACM (2003) Modeling of flow and thermokinetics during the cure of thick laminated composites. Int J Therm Sci 42(1):15–22CrossRefGoogle Scholar
  12. 12.
    Zhou YF, Liang DK, Zeng J, Liu HY, Sun XM (2011) Research on relative humidity sensor based on distributed optical fiber Bragg grating coated with polyimide moisture sensitive film. J Optoelectronics Laser 22(11):1597–1601Google Scholar
  13. 13.
    Kus A, Isik Y, Cakir MC, Coskun S, Ozdemir K (2015) Thermocouple and infrared sensor-based measurement of temperature distribution in mental cutting. Sensors 15(1):1274CrossRefGoogle Scholar
  14. 14.
    Wang KJ, Liu X, Li H, Wang LY (2016) Experimental study on ultrasonic vibration assisted micro-grinding temperature field. Sci Technol Eng 16(29):54–58Google Scholar
  15. 15.
    Takeshi Y, Takayuki O, Hiroyuki S (2013) Temperature measurement of cutting tool and machined surface layer in milling of CFRP. Int J Mach Tools Manuf 70:63–69CrossRefGoogle Scholar
  16. 16.
    Huang J, Zhou Z, Liu M, Zhang E, Chen M (2015) Real-time measurement of field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors. Mechatronics 31:16–21CrossRefGoogle Scholar
  17. 17.
    Xu GQ, Xiong DY (2013) Applications of Bragg grating sensing technology in engineering. Chin Opt 6(3):306–317MathSciNetGoogle Scholar
  18. 18.
    Liu SH, Chen T, Li RY, Fang L (2016) Research on the influence of adhesive stick effect on the performance of substrate fiber Bragg grating temperature sensor. J Optoelectronics·Laser 27(7):42–48Google Scholar
  19. 19.
    Fan D (2006) Experimental study of sense characteristic based on metalized package fiber Bragg grating. Chin J Sensors Actuators 19(4):1234–1237Google Scholar
  20. 20.
    Zhu DD, Li WX, Li ZQ, Wang JJ (2008) A distributed fiber Bragg grating system for simultaneous measurement of the strain and temperature. Acta Metrologica Sinica 29(1):29–32Google Scholar
  21. 21.
    Lee CL, Lee RK, Kao YM (2006) Design of multichannel DWDM fiber Bragg grating filters by Lagrange multiplier constrained optimization. Opt Express 14(23):11002–11011CrossRefGoogle Scholar
  22. 22.
    Guan B, Liu Z, Kai G, Ge C, Dong X (1999) Temperature sensor based on fiber Bragg grating. J Sens Technol 15(2):90–93Google Scholar
  23. 23.
    Zhan YG, Cai HW, Xiang SQ, Qu GH, Wang XZ (2005) Study on high resolution fiber Bragg grating temperature sensor. Chin J Lasers 32(1):83–86Google Scholar
  24. 24.
    Chang TY, Jia L, Sui QM (2008) High temperature experimental study on Cu-plating fiber bragger grating. J Optoelectronics·Laser 19(2):187–190Google Scholar
  25. 25.
    Wang XL, Zhang JH, Ren SF, Duan CY, Dong CJ (2006) Simulation of grinding temperature field based on the application of MATLAB and VB. J Wuhan Univ Technol 28(11):111–113Google Scholar
  26. 26.
    Rowe WB, Qi HS, Morgan MN, Zheng HW (1993) The effect of deformation on the contact area in grinding. Ann CIRP 42(1):409–412CrossRefGoogle Scholar
  27. 27.
    Cuo C, Wu Y, Varghese V, Malkin S (1999) Temperature and energy partition for grinding with vitrified CBN wheels. Ann CIRP 48(1):247CrossRefGoogle Scholar
  28. 28.
    Luo JF, Yin HW, Li WY, Xu ZJ, Shao ZZ, Xu XJ, Chang SL (2015) Numerical and experimental study on the heat transfer properties of the composite paraffin/expanded graphite phase change material. Int J Heat Mass Transf 84:237–244CrossRefGoogle Scholar
  29. 29.
    Zhang DM, Meng C (2009) Finite simulation of grinding temperature field. Tool Technol 43(11):33–36Google Scholar
  30. 30.
    Cui JH, Mu YC (2005) ANSYS in the application of computer simulation for the CBN grinding wheel grinding temperature. Precis Manuf Autom 161(1):38–40Google Scholar
  31. 31.
    Liu L (2006) The application of ANSYS in the grinding workpiece temperature simulation. Mech Electr Eng Technol 35(10):26–49Google Scholar
  32. 32.
    Liu SL, Chen T, Wei YX, Wu CQ (2015) Research progress on machining of carbon fiber reinforced plastic. Composites Machining 14(81):81–86Google Scholar
  33. 33.
    Liu JW, Baek DK, Ko TJ (2014) Chipping minimization in drilling ceramic materials with rotary ultrasonic machining. Int J Adv Manuf Technol 72:1527–1535CrossRefGoogle Scholar
  34. 34.
    Hao LD, Zhang X, Liu L (2007) Analysis method of results in orthogonal design in scientific. Acat Editologica 19(5):340–341Google Scholar
  35. 35.
    Xu ZA, Wang TB, Li CY, Bao LY, Ma QM, Miao YL (2002) Brief introduction to the orthogonal test design. Tech-Inf Dev Econ 12(5):48–50Google Scholar
  36. 36.
    Bemporad A, Morira R, Ricker NL (2005) Model predictive control toolbox-for use with MATLAB. Cnrs France 13(3–4):309–329Google Scholar

Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  • Tao Chen
    • 1
  • Mengli Ye
    • 1
  • Shuliang Liu
    • 1
  • Shenling Tian
    • 1
  1. 1.School of Mechanical and Electronic EngineeringWuhan University of TechnologyWuhanChina

Personalised recommendations