Integer and non-integer order study of the GO-W/GO-EG nanofluids flow by means of Marangoni convection

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Gul T., Anwar H., Khan M.A., Khan I., Kumam P.

ผู้เผยแพร่: MDPI AG

ปีที่เผยแพร่ (ค.ศ.): 2019

Volume number: 11

Issue number: 5

นอก: 2073-8994

eISSN: 2073-8994

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066299365&doi=10.3390%2fsym11050640&partnerID=40&md5=c66fbf1c64731e4f0a51ba9230a74876

ภาษา: English-Great Britain (EN-GB)

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บทคัดย่อ

Characteristically, most fluids are not linear in their natural deeds and therefore fractional order models are very appropriate to handle these kinds of marvels. In this article, we studied the base solvents of water and ethylene glycol for the stable dispersion of graphene oxide to prepare graphene oxide-water (GO-W) and graphene oxide-ethylene glycol (GO-EG) nanofluids. The stable dispersion of the graphene oxide in the water and ethylene glycol was taken from the experimental results. The combined efforts of the classical and fractional order models were imposed and compared under the effect of the Marangoni convection. The numerical method for the non-integer derivative that was used in this research is known as a predictor corrector technique of the Adams-Bashforth-Moulton method (Fractional Differential Equation-12) or shortly (FDE-12). The impact of the modeled parameters were analyzed and compared for both GO-W and GO-EG nanofluids. The diverse effects of the parameters were observed through a fractional model rather than the traditional approach. Furthermore, it was observed that GO-EG nanofluids are more efficient due to their high thermal properties compared with GO-W nanofluids. ฉ 2019 by the authors.

คำสำคัญ

FDE-12 numerical method, GO-W/GO-EG nanofluids, Integer and non-integer order derivatives