Skip to main content
Log in

A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage

  • Published:
Journal of Thermal Analysis and Calorimetry Aims and scope Submit manuscript

Abstract

Grinding is known as the most widely used method of forming borosilicate optical glass (BK7). Due to the brittle nature of the BK7 glass, the predominant mechanism of material removal will be fracture. So, the surface under grinding will have surface (surface roughness) and subsurface damage. These damages will cause a decrease in mechanical resistance and performance. Modeling of surface and subsurface damages due to the grinding process using cup grinding tool has not been subjected in recent investigations. To do this, the surface roughness effects are investigated by changes in grinding parameters such as cutting speed, feed rate, cutting depth and table speed. Moreover, based on the experiments, the relationship between surface roughness and grinding parameters is simulated and the average error was 5.77%. In the second phase of the experiments, angular polishing method is used and subsurface morphologies are investigated by SEM and the depths of these damages are measured. Experimental results are compared with that of the Li theoretical model. Based on the results, the experimental and theoretical results have well consistency. In the end, based on the Li model, a new model based on the relationship between subsurface damage and grinding parameters is conducted.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Blaineau P, André D, Laheurte R, Darnis P, Darbois N, Cahuc O, Neauport J. Subsurface mechanical damage during bound abrasive grinding of fused silica glass. Appl Surf Sci. 2015;353:764–73.

    Article  CAS  Google Scholar 

  2. Bach H, Neuroth N. The properties of optical glass. Dordrecht: Springer; 1998.

    Book  Google Scholar 

  3. Pratap A, Patra K, Dyakonov AA. On-machine texturing of PCD micro-tools for dry micro-slot grinding of BK7 glass. Precis Eng. 2019;55:491–502.

    Article  Google Scholar 

  4. Esmaeilzare A, Rahimi A, Rezaei SM. Investigation of subsurface damages and surface roughness in grinding process of Zerodur® glass–ceramic. Appl Surf Sci. 2014;313:67–75.

    Article  CAS  Google Scholar 

  5. Dong Z, Cheng H. Developing a trend prediction model of subsurface damage for fixed-abrasive grinding of optics by cup wheels. Appl Opt. 2016;55(32):7404–74012.

    Article  Google Scholar 

  6. Li HN, Yu TB, Da ZhuL, Wang WS. Evaluation of grinding-induced subsurface damage in optical glass BK7. J Mater Process Technol. 2016;229:785–94.

    Article  CAS  Google Scholar 

  7. Jiang C, Cheng J, Wu T. Theoretical model of brittle material removal fraction related to surface roughness and subsurface damage depth of optical glass during precision grinding. Precis Eng. 2017;49:21–7.

    Article  Google Scholar 

  8. Malkin S, Guo C. Grinding technology: theory and application of machining with abrasives. New York: McGraw-Hill; 2008.

    Google Scholar 

  9. Lambropoulos JC, Fang T, Funkenbusch PD, Jacobs SD, Cumbo MJ, Golini D. Surface micro roughness of optical glasses under deterministic micro grinding. Appl Opt. 1996;35:4448–62.

    Article  CAS  Google Scholar 

  10. Li S, Wang Z, Wu Y. Relationship between subsurface damage and surface roughness of optical materials in grinding and lapping processes. J Mater Process Technol. 2008;205:34–41.

    Article  CAS  Google Scholar 

  11. Suratwala T, Wong L, Miller P, Feit MD, Menapace J, Steele R, Davis P, Walmer D. Sub-surface mechanical damage distributions during grinding of fused silica. J Non-Cryst Solids. 2006;352:5601–17.

    Article  CAS  Google Scholar 

  12. Yao Z, Gu W, Li K. Relationship between surface roughness and subsurface crack depth during grinding of optical glass BK7. J Mater Process Technol. 2012;212:969–76.

    Article  CAS  Google Scholar 

  13. Agawal S, Rao PV. Experimental investigation of surface/subsurface damage formation and material removal mechanisms in SiC grinding. Int J Mach Tools Manuf. 2008;48:698–710.

    Article  Google Scholar 

  14. Perveen A, Rahman M, Wong YS. Analysis of surface and subsurface damage of micro-ground BK7 glass using on machine fabricated PCD micro-tool. Int J Abras Technol. 2012;5:72–92.

    Article  CAS  Google Scholar 

  15. Zhu D, Yan S, Li B. Single-grit modeling and simulation of crack initiation and propagation in SiC grinding using maximum undeformed chip thickness. Comput Mater Sci. 2014;92:13–21.

    Article  CAS  Google Scholar 

  16. Duan N, Yu Y, Wang W, Xu X. SPH and FE coupled 3D simulation of monocrystal SiC scratching by single diamond grit. Int J Refract Met Hard Mater. 2017;64:279–93.

    Article  CAS  Google Scholar 

  17. Lawn BR, Evans AG, Marshall DB. Elastic/plastic indentation damage in ceramics: the median/radial crack system. J Am Ceram Soc. 1980;63(9–10):574–81.

    Article  CAS  Google Scholar 

  18. Tonnellier X. Precision grinding for rapid manufacturing of large optics. PhD thesis, Cranfield University; 2009.

  19. Davim JP, Jackson MJ. Nano and micromachining. New York: Wiley; 2009.

    Book  Google Scholar 

  20. Mahmoud T, Tamaki J, Yan J. Three-dimensional shape modeling of diamond abrasive grains measured by a scanning laser microscope. Key Eng Mater. 2003;238:131–6.

    Article  Google Scholar 

  21. Zhao Q, Chen J, Huan H, Fang X. Grinding damage of BK7 using copper-resin bond coarse-grained diamond wheel. J Precis Eng Manuf. 2011;12(1):5–13.

    Article  CAS  Google Scholar 

  22. Chen J, Fang Q, Li P. Effect of grinding wheel spindle vibration on surface roughness and Subsurface damage in brittle material grinding. Int J Mach Tools Manuf. 2015;91:12–23.

    Article  Google Scholar 

  23. Zheng Y, Shadloo MS, Nasiri H, Maleki A, Karimipour A, Tlili I. Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations. Renew Energy. 2020.

  24. Komeilibirjandi A, Raffiee AH, Maleki A, Nazari MA, Shadloo MS. Thermal conductivity prediction of nanofluids containing CuO nanoparticles by using correlation and artificial neural network. J Therm Anal Calorim. 2020;139(4):2679–89.

    Article  CAS  Google Scholar 

  25. He W, Namar MM, Li Z, Maleki A, Tlili I, Shadloo MS. Thermodynamic analysis of a solar-driven high-temperature steam electrolyzer for clean hydrogen production. Appl Therm Eng. 2020;115152.

  26. Wang N, Maleki A, AlhuyiNazari M, Tlili I, SafdariShadloo M. Thermal conductivity modeling of nanofluids contain MgO particles by employing different approaches. Symmetry. 2020;12(2):206.

    Article  CAS  Google Scholar 

  27. IrandoostShahrestani M, Maleki A, SafdariShadloo M, Tlili I. Numerical investigation of forced convective heat transfer and performance evaluation criterion of Al2O3/water nanofluid flow inside an axisymmetric microchannel. Symmetry. 2020;12(1):120.

    Article  CAS  Google Scholar 

  28. Ahmadi B, Golneshan AA, Arasteh H, Karimipour A, Bach QV. Energy and exergy analysis and optimization of a gas turbine cycle coupled by a bottoming organic Rankine cycle. J Therm Anal Calorim. 2019;1–16.

  29. Wu H, Beni MH, Moradi I, Karimipour A, Kalbasi R, Rostami S. Heat transfer analysis of energy and exergy improvement in water-tube boiler in steam generation process. J Therm Anal Calorim. 2019;1–9.

  30. Peng Y, Zahedidastjerdi A, Abdollahi A, Amindoust A, Bahrami M, Karimipour A, Goodarzi M. Investigation of energy performance in a U-shaped evacuated solar tube collector using oxide added nanoparticles through the emitter, absorber and transmittal environments via discrete ordinates radiation method. J Therm Anal Calorim. 2020;139(4):2623–31.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The first and fourth authors acknowledge the support provided by Youth Education Research Programme of Fujian (JAT170932), Youth Education Research Programme of Fujian (JAT191216) and Science and Technology Project of Fujian Polytechnic of Information Technology (Y18102).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Quang-Vu Bach.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

He, J., Barahimi, V., Farahnakian, M. et al. A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage. J Therm Anal Calorim 144, 1949–1957 (2021). https://doi.org/10.1007/s10973-020-09660-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10973-020-09660-5

Keywords

Navigation