PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 7, 2026Scientific Reports0 citationsOpen Access

Semi-analytical investigation of nonlinear time-fractional fluid behavior with -Caputo memory

MAM. Mossa Al-sawalhaSNSaima NoorHYHumaira Yasmin

Key Points

  • This research focuses on investigating nonlinear time-fractional fluid behavior using $9$-Caputo derivatives.
  • Developed q-Homotopy ZZ Transform Method (q-HZZTM) and ZZ Transform Variational Iteration Method (ZZ-VIM).
  • Validated accuracy of solutions with numerical tables compared to exact solutions for different fractional orders.
  • Analyzed the response behavior and fractional-order effects graphically.
  • Both q-HZZTM and ZZ-VIM achieved fast convergence and consistency with exact solutions for classical cases.
  • The methods demonstrated stability for fractional-order cases, indicating their efficiency.
  • The proposed framework offers high accuracy and flexibility in analyzing nonlinear fractional fluid models.

Abstract

This paper examines two nonlinear time-fractional Navier-Stokes (NS) systems, in the context of the ϕ-Caputo fractional derivative that offers a generalized and versatile form of the memory and hereditary influence in fluid motion. In order to achieve the semi-analytical approximate solutions, two semi-analytical methods are designed and constructed, including the q-Homotopy ZZ Transform Method (q-HZZTM) and the ZZ Transform Variational Iteration Method (ZZ-VIM). The proposed strategies take the benefits of the ZZ transform, homotopy and variational iteration structures to deal with strong nonlinearities. Numerical tables are used to check and validate the accuracy and convergence of the obtained solutions against the exact solutions for various fractional orders. Moreover, the graphical illustrations are provided to examine the response behavior and the effects of the fractional-order parameter. It is found that both q-HZZTM and ZZ-VIM converge fast and are quite consistent with the exact solutions in the classical case and are stable in the case of fractional-order. The suggested framework is highly efficient, accurate, and flexible, and it is a potent analysis of nonlinear fractional fluid models emerging in applied science and engineering.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Al-sawalha et al. (2026) studied this question.

synapsesocial.com/papers/69fc2b608b49bacb8b34789chttps://doi.org/10.1038/s41598-026-48193-z
Ask AI
Helpful
Bookmark
Share
View Full Paper