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In-Process Monitoring of Nickel-Based Super Alloy Grinding Using the Acoustic Emission Method

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Abstract

One of the most prevalent problems in grinding nickel-based super alloys is grinding wheel loading phenomenon which is the chip accumulation in free inter granular spaces between grains or micro-clogging on active vertices of abrasive grains. This research work studies the efficiency of acoustic emission signals in order to measure the grinding performance accompanied by wheel loading. Nickel based super alloy has been used as a work piece and experiments were carried out on different levels of wheel speed (vs), depths of wheel engagement (a) and work feed speeds (vf). The results showed that evaluation of acoustic emission parameter as well as root mean square of acoustic emission energy (AERMS) and acoustic emission amplitude are the appropriate tests to predict grinding performance.

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REFERENCES

  1. Adibi, H., Rezaei, S., and Sarhan, A.A., Grinding wheel loading evaluation using digital image Processing, J. Manuf. Sci. Eng., 2014, vol. 136, no. 1, p. 011012.

    Article  Google Scholar 

  2. Tamang, S.K. and Chandrasekaran, M., Integrated optimization methodology for intelligent machining of inconel 825 and its shop-floor application, J. Braz. Soc. Mech. Sci. Eng., 2016, https://doi.org/10.1007/s40430-016-0570-2

    Article  Google Scholar 

  3. Adibi, H., Rezaei, S.M., and Sarhan, A.A., Investigation on using high-pressure fluid jet in grinding process for less wheel loaded areas, Int. J. Adv. Manuf. Technol., 2014, vol. 70, no. 9, pp. 2233–2240.

    Article  Google Scholar 

  4. Li, Q., Xu, J., Su, H., and Lei, W., Fabrication and performance of monolayer brazed CBN wheel for high-speed grinding of superalloy, Int. J. Adv. Manuf. Technol., 2015, vol. 80, no. 5, pp. 1173–1180.

    Article  Google Scholar 

  5. Zhao, Z., Fu, Y., Xu, J., and Zhang, Z., Behavior and quantitative characterization of CBN wheel wear in high-speed grinding of nickel-based superalloy, Int. J. Adv. Manuf. Technol., https://doi.org/10.1007/s00170-016-8686-1

    Article  Google Scholar 

  6. Herzenstiel, P., Aurich, J. C., Cbn-grinding wheel with a defined grain pattern—extensive numerical and experimental studies, J. Mach. Sci. Technol., 2010, vol. 14, no. 3, pp. 301–322.

    Article  CAS  Google Scholar 

  7. Gift, F.C., Misiolek, W.Z., and Force, E., Mechanics of loading for electroplated cubic boron nitride (CBN) wheels during grinding of a nickel-based superalloy in water-based lubricating fluids, J. Tribol., 2004, vol. 126, no. 4, pp. 795–801.

    Article  CAS  Google Scholar 

  8. Sakamoto, H., Shimizu, S., and Kato, D., Evaluation of loading behaviour of grinding wheel based on working surface topography, Seimitsu Kogaku Kaishi, 1998, vol. 64, no. 9, pp. 1320–1324.

    Google Scholar 

  9. Srivastava, A., Ram, K.S., and Lal, G., A new technique for evaluating wheel loading, Int. J. Mach. Tool Des. Res., 1985, vol. 25, no. 1, pp. 33–38.

    Article  Google Scholar 

  10. Kim, S. and Ahn, J.H., Decision of dressing interval and depth by the direct measurement of the grinding wheel surface, J. Mater. Process. Technol., 1999, vol. 88, no. 1, pp. 190–194.

    Article  Google Scholar 

  11. Moia, D.F.G., Thomazella, I. H., Aguiar, P.R., Bianchi, E.C., Martins, C.H.R., and Marchi, M., Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks, J. Braz. Soc. Mech. Sci. Eng., 2015, vol. 37, no. 2, pp. 627–640.

    Article  CAS  Google Scholar 

  12. Dornfeld, D. and Gao Cai, H., An investigation of grinding and wheel loading using acoustic emission, J. Manuf. Sci. Eng., 1984, vol. 106, no. 1. https://doi.org/10.1115/1.3185907

    Article  Google Scholar 

  13. Griffin, J.M. and Torres, F., Dynamic precision control in single-grit scratch tests using acoustic emission signals, Int. J. Adv. Manuf. Technol., 2015, vol. 81, no. 5, pp. 935–953.

    Article  Google Scholar 

  14. Zhang, D., Bi, G., Sun, Z., and Guo, Y., Online monitoring of precision optics grinding using acoustic emission based on support vector machine, Int. J. Adv. Manuf. Technol., 2015, vol. 80, no. 5, pp. 761–774.

    Article  Google Scholar 

  15. Mokbel, A.A. and Maksoud, T., Monitoring of the condition of diamond grinding wheels using acoustic emission technique, J. Mater. Process. Technol., 2000, vol. 101, no. 1, pp. 292–297.

    Article  Google Scholar 

  16. Karpuschewski, B., Wehmeier, M., and Inasaki, I., Grinding monitoring system based on power and acoustic emission sensors, CIRP Ann. Manuf. Technol., 2000, vol. 49, no. 1, pp. 235–240.

    Article  Google Scholar 

  17. Malkin, S. and Anderson, R., Thermal aspects of grinding: part 1—energy partition, J. Eng. Ind., 1974, vol. 96, no. 4, pp. 1177–1183.

    Article  Google Scholar 

  18. Cai, H.G., An investigation of grinding and wheel loading using acoustic emission, J. Eng. Ind., 1984, vol. 106, p. 28.

    Article  Google Scholar 

  19. Krishnaiah, K. and Shahabudeen, P., Applied design of experiments and taguchi methods, J. Eng Ind., New Delhi: PHI Learn. Private Ltd., 2012.

    Google Scholar 

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Correspondence to Hamed Adibi, Amir Sorati Ashtiani or Abdolreza Rahimi.

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Hamed Adibi, Ashtiani, A.S. & Rahimi, A. In-Process Monitoring of Nickel-Based Super Alloy Grinding Using the Acoustic Emission Method. Russ J Nondestruct Test 55, 909–917 (2019). https://doi.org/10.1134/S1061830919120027

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  • DOI: https://doi.org/10.1134/S1061830919120027

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