Skip to main content
Log in

Modeling and Optimization of Specific Cutting Energy Required for Cutting Napier Grass Using RSM

  • ORIGINAL CONTRIBUTION
  • Published:
Journal of The Institution of Engineers (India): Series A Aims and scope Submit manuscript

Abstract

The amount of energy required to harvest Napier grass and the quality of the cut depend on the blade angles. Hence, it is crucial to analyses the impact of different cutting blade angles, including the bevel angle, shear angle, and approach angle, on both the specific cutting energy (SCE) and cutting index (CI) of Napier grass. Therefore, to achieve minimum specific cutting energy (SCE) and cutting index (CI), the optimization of blade angles was carried out. The study employed a pendulum-type impact testing apparatus to investigate the impact of operational parameters of the cutting blade on the SCE and CI for Napier grass. In addition, the current study utilized the response surface method for analysis and optimization purposes. The optimum operational parameters were found to be bevel angle of 15°, shear angle of 20.74°, and approach angle of 30°, which predict the minimum SCE of 19.84 kJ m−2 and CI of 1.89. The performance of the pendulum testing machine was validated by setting optimum conditions. It was found that the SCE was 20.20 kJ m−2 along with CI of 2. This result shows that the validated results are closer to predicted result. In future research, it is crucial to evaluate the cutting element’s performance in the Napier grass harvester under the aforementioned conditions. Additionally, a thorough investigation into the influence of the cutter’s peripheral velocity and the prime mover’s forward speed on the SCE requirements of grass is essential.

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

Similar content being viewed by others

References

  1. S.S. Kadam, A. Kumar, M. Arif, Int. J. Curr. Microbiol. App. Sci. 6, 4778 (2017)

    Article  Google Scholar 

  2. N.R. Sarker, M.A. Habib, D. Yeasmin, F. Tabassum, R.A. Mohammed, Am. J. Plant Sci. 12, 914 (2021)

    Article  CAS  Google Scholar 

  3. I. Mohammed, Y. Abakr, F. Kazi, S. Yusup, I. Alshareef, S. Chin, Energies 8, 3403 (2015)

    Article  CAS  Google Scholar 

  4. D. Takara, S.K. Khanal, Bioresour. Technol. 188, 103 (2015)

    Article  CAS  PubMed  Google Scholar 

  5. A. Kumar, B. Sahoo, A.K. Panda, S. Tanuja, D.A Shivaji, P. Samal, S.K. Nayak, D.N. Sadangi, ICAR - Central Institute for Women in Agriculture, Bhubaneswar, Odisha, accessed on December (2023)

  6. D. Desrial, Ridha, IOP Conference series: earth and environmental science 542, 012035 (2020).

  7. M. Qiu, Y. Meng, Y. Li, X. Shen, Biosys. Eng. 206, 135 (2021)

    Article  CAS  Google Scholar 

  8. B. Jyoti, K. Karthirvel, Agricultural Mechanization in Asia, Africa and Latin America, 52, 15 (2021)

  9. S. Ma, P.A. Scharf, Q. Zhang, M. Karkee, J. Tong, L. Yu, Trans. ASABE 59, 813 (2016)

    Article  Google Scholar 

  10. C.-C. Lien, H.-W. Liu, Appl. Eng. Agric. 31, 5 (2015)

    Google Scholar 

  11. S. Kroes, H. Harris, EurAgEng (1996)

  12. R.V. Powar, V.V. Aware, P.U. Shahare, J. Food Sci. Technol. 56, 3481 (2019)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. R. Powar, V. Aware, P. Shahare, J. Food Sci. Technol. 56, 3272 (2019)

    Article  PubMed  PubMed Central  Google Scholar 

  14. R. Abatabae, G. Kiani, Pak. J. Biol. Sci. 1, 1532 (2007)

  15. O. Ghahraei, M.H. Khoshtaghaza, B. Ahmad, J Centr. Europ. Agric. 9, 7 (2008)

  16. R. Powar, V. Aware, P. Chavan, A.K. Jaiswal, J. Food Process Eng 46(10), e14146 (2022)

    Article  Google Scholar 

  17. R.V. Powar, V.V. Aware, A.A. Deogirikar, S. B. Patil, in Transforming coastal zone for sustainable food and income security. ed. by T.D. Lama, D. Burman, U.K. Mandal, S.K. Sarangi, H.S. Sen (Springer International Publishing, Cham, 2022), pp.1071–1083

    Chapter  Google Scholar 

Download references

Acknowledgements

The corresponding author acknowledges the Dr. D. Y. Patil College of Agricultural Engineering and Technology, Talsande, India, for encouraging and supporting for this study.

Funding

The author(s) received no financial support for the research and publication of this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. V. Powar.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Powar, R.V., Belanekar, N.N., Chamakale, S.V. et al. Modeling and Optimization of Specific Cutting Energy Required for Cutting Napier Grass Using RSM. J. Inst. Eng. India Ser. A 105, 167–175 (2024). https://doi.org/10.1007/s40030-024-00780-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40030-024-00780-x

Keywords

Navigation