Određivanje efikasnog ulja za energetsku opremu korišćenjem analize višekriterijumskog odlučivanja

Ključne reči: nanofluidi, energetska oprema, siva relaciona analiza, optimizacija verovatnoće, biljno ulje, dielektrično svojstvo, izolaciono svojstvo

Sažetak


Uvod/cilj: Nekoliko studija iz oblasti razvoja nanofluida za energetsku opremu propustilo je da utvrdi koje ulje je najbolje među uljima proizvedenim za primenu u pogonskoj opremi. Zato ova studija predstavlja analizu višekriterijumskog odlučivanja za određivanje  najboljeg ulja pogodnog za energetsku opremu.

Metode: Siva relaciona analiza i tehnika višekriterijumske optimizacije zasnovana na verovatnoći korišćene su za optimizaciju. Analizirani si dielektrična snaga, dielektrični gubitak, viskoznost i tačka paljenja, kao karakteristike višestrukog učinka  različitih ulja, nakon čega su različita ulja rangirana na osnovu svojih performansi.

Rezultati: Zanimljivo je da su siva relaciona analiza i višekriterijumska optimizacija zasnovana na verovatnoći utvrdile da je kombinacija ulja biljke jatropa i nim nanofluida najbolja za energetsku opremu, kao i da je bolja od konvencionalnog mineralnog ulja. Tehnika višekriterijumske optimizacije zasnovana na verovatnoći rangira jatropa nanofluid ispred mineralnog ulja, ali ne i tehnika sive relacione analize. Takođe, minerano ulje i obični jatropa nanofluidi su na kompetitivnom nivou, što znači da jatropa nanofluid može da bude efikasniji od mineralnog ulja ako se poradi na njemu.

Zaključak: Dve tehnike su utvrdile da se postižu bolje performanse energetske opreme kada se ulje biljke jatropa pomeša sa nim uljem i nano česticama nego kada se koristi mineralno ulje. Bilo bi preporučljivo da se dalje analize vrše u oblasti direktne primene jatropa i nim nanofluida za energetsku opremu radi boljeg razumevanja funkcionisanja pogonske opreme i poređenja  sa slučajevima kada se koristi konvencionalno mineralno ulje.

Reference

Abdelmalik, A.A. 2015. Analysis of thermally aged insulation paper in a natural ester-based dielectric fluid. IEEE Transactions on Dielectrics and Electrical Insulation, 22(5), pp.2408-2414. Available at: https://doi.org/10.1109/TDEI.2014.004824

Abifarin, J.K. 2021. Taguchi grey relational analysis on the mechanical properties of natural hydroxyapatite: effect of sintering parameters. The International Journal of Advanced Manufacturing Technology, 117, pp.49-57. Available at: https://doi.org/10.1007/s00170-021-07288-9

Abifarin, J.K., Fidelis, F.B., Abdulrahim, M.Y., Oyedeji, E.O., Nkwuo, T. & Prakash, C. 2022a. Response Surface Grey Relational Analysis On The Manufacturing of High Grade Biomedical Ti-13Zr-13Nb. The International Journal of Advanced Manufacturing Technology, under review. Available at: https://doi.org/10.21203/rs.3.rs-1225030/v1

Abifarin, J.K., Obada, D.O., Dauda, E.T. & Oyedeji, E.O. 2021. Taguchi Grey Relational Optimization of the Multi-mechanical Characteristics of Kaolin Reinforced Hydroxyapatite: Effect of Fabrication Parameters. International Journal of Grey Systems, 1(2), pp.20-32. Available at: https://doi.org/10.52812/ijgs.30

Abifarin, J.K. & Ofodu, J.C. 2022. Modeling and Grey Relational Multi-response Optimization of Chemical Additives and Engine Parameters on Performance Efficiency of Diesel Engine. International Journal of Grey Systems, in press. Available at: https://doi.org/10.52812/ijgs.33

Abifarin, J.K., Prakash, C. & Singh, S. 2022b. Optimization and significance of fabrication parameters on the mechanical properties of 3D printed chitosan/PLA scaffold. Materials Today: Proceedings, 50(5), pp. 2018-2025. Available at: https://doi.org/10.1016/j.matpr.2021.09.386

Abifarin, J.K., Suleiman, M.U., Abifarin, E.A., Fidelis, F.B., Oyelakin, O.K., Jacob, D.I. & Abdulrahim, M.Y. 2022c. Fabrication of mechanically enhanced hydroxyapatite scaffold with the assistance of numerical analysis. The International Journal of Advanced Manufacturing Technology, 118, pp.3331-3344. Available at: https://doi.org/10.1007/s00170-021-08184-y

Awodi, E., Ishiaku, U.S., Yakubu, M.K. & Abifarin, J.K. 2021. Experimentally Predicted Optimum Processing Parameters Assisted by Numerical Analysis on the Multi-physicomechanical Characteristics of Coir Fiber Reinforced Recycled High Density Polyethylene Composites. Research Square, posted. Available at: https://doi.org/10.21203/rs.3.rs-591200/v1

Fofana, I. 2013. 50 years in the development of insulating liquids. IEEE Electrical Insulation Magazine, 29(5), pp.13-25. Available at: https://doi.org/10.1109/MEI.2013.6585853

Javed, S.A. & Liu, S. 2019. Bidirectional Absolute GRA/GIA Model for Uncertain Systems: Application in Project Management. IEEE Access, 7, pp.60885-60896. Available at: https://doi.org/10.1109/ACCESS.2019.2904632

Javed, S.A., Liu, S., Mahmoudi, A. & Nawaz, M. 2019. Patients' satisfaction and public and private sectors' health care service quality in Pakistan: Application of grey decision analysis approaches. The International journal of Health Planning and Management, 34(1), pp.e168-e182. Available at: https://doi.org/10.1002/hpm.2629

Javed, S.A., Zhu, B. & Liu, S. 2020. Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model. Journal of Cleaner Production, 276(art.ID:123997). Available at: https://doi.org/10.1016/j.jclepro.2020.123997

Kung, C.Y. & Wen, K.L. 2007. Applying grey relational analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance—a case study of venture capital enterprises in Taiwan. Decision support systems, 43(3), pp.842-852. Available at: https://doi.org/10.1016/j.dss.2006.12.012

Mahmoudi, A., Liu, S., Javed, S.A. & Abbasi, M. 2019. A novel method for solving linear programming with grey parameters. Journal of Intelligent & Fuzzy Systems, 36(1), pp.161-172. Available at: https://doi.org/10.3233/JIFS-181071

Mansour, D.E.A., Atiya, E.G., Khattab, R.M. & Azmy, A.M. 2012. Effect of titania nanoparticles on the dielectric properties of transformer oil-based nanofluids. In: 2012 annual report conference on electrical insulation and dielectric phenomena, Montreal, QC, Canada, pp.295-298, October 14-17.  Available at: https://doi.org/10.1109/CEIDP.2012.6378779

Ofodu, J.C. & Abifarin, J.K. 2022. Employment of probability - based multi-response optimization in high voltage thermofluids. Vojnotehnički glasnik/Military Technical Courier, 70(2), pp.393-408. Available at: https://doi.org/10.5937/vojtehg70-35764

Oparanti, S.O., Abdelmalik, A.A., Khaleed, A.A., Abifarin, J.K., Suleiman, M.U. & Oteikwu, V.E. 2022. Synthesis and characterization of cooling biodegradable nanofluids from non-edible oil for high voltage application. Materials Chemistry and Physics, 277(art.ID:125485). Available at: https://doi.org/10.1016/j.matchemphys.2021.125485

Oparanti, S.O., Khaleed, A.A., & Abdelmalik, A.A. 2021a. Nanofluid from Palm Kernel Oil for High Voltage Insulation. Materials Chemistry and Physics, 259(art.ID:123961). Available at: https://doi.org/10.1016/j.matchemphys.2020.123961

Oparanti, S.O., Khaleed, A.A. & Abdelmalik, A.A. 2021b. AC breakdown analysis of synthesized nanofluids for oil-filled transformer insulation. The International Journal of Advanced Manufacturing Technology, 117(5), pp.1395-1403. Available at: https://doi.org/10.1007/s00170-021-07631-0

Oparanti, S.O., Khaleed, A.A., Abdelmalik, A.A. & Chalashkanov, N.M. 2020. Dielectric characterization of palm kernel oil ester-based insulating nanofluid. In: 2020 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), East Rutherford, NJ, USA, pp.211-214, October 18-30. Available at: https://doi.org/10.1109/CEIDP49254.2020.9437477

Rajab, A., Sulaeman, A., Sudirham, S. & Suwarno. 2011. A Comparison of Dielectric Properties of Palm Oil with Mineral and Synthetic Types Insulating Liquid under Temperature Variation. ITB Journal of Engineering Science, 43(3), pp.191-208. Available at: https://doi.org/10.5614/itbj.eng.sci.2011.43.3.3

Shafi, W.K., Raina, A. & Ul Haq, M.I. 2018. Friction and wear characteristics of vegetable oils using nanoparticles for sustainable lubrication. Tribology - Materials, Surfaces & Interfaces, 12(1), pp.27-43. Available at: https://doi.org/10.1080/17515831.2018.1435343

Tambuwal, F.R., Oparanti, S.O., Abdulkadir, I., Sadiq, U. & Abdelmalik, A.A. 2022. Investigative study on the AC and DC breakdown voltage of nanofluid from Jatropha–Neem oil mixture for use in oil-filled power equipment. The International Journal of Advanced Manufacturing Technology, pp.1-9. Available at: https://doi.org/10.1007/s00170-021-08447-8

Tosun, N. 2006. Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28(5), pp.450-455. Available at: https://doi.org/10.1007/s00170-004-2386-y

Tzeng, C-J., Lin, Y-H., Yang, Y-K. & Jeng, M-C. 2009. Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis. Journal of Materials Processing Technology, 209(6), pp.2753-2759. Available at: https://doi.org/10.1016/j.jmatprotec.2008.06.046

Zheng, M. 2022. Application of probability-based multi-objective optimization in material engineering. Vojnotehnički glasnik/Military Technical Courier, 70(1), pp.1-12. Available at: https://doi.org/10.5937/vojtehg70-35366

Zheng, M.,  Wang, Y. & Teng, H. 2021. A New" Intersection" Method for Multi-Objective Optimization in Material Selection. Tehnički glasnik, 15(4), pp.562-568. Available at: https://doi.org/10.31803/tg-20210901142449

Objavljeno
2022/03/19
Rubrika
Originalni naučni radovi