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Published on: September 23, 2018
A Computational Approach for the Calculation of Temperature Distribution in Casting-Mould Heterogeneous System with
Xiankang Luo1, Muhammad Nadeem1, Muhammad Imran Asjad2
1Faculty of Science, Yibin University, Yibin 644000, China.
This study introduces the Yang transform homotopy perturbation method (YT-HPM) for solving complex casting-mould systems. The novel YT-HPM offers an efficient approximate solution for fractional-order differential equations in heterogeneous systems.
Area of Science:
- Applied Mathematics
- Fractal Calculus
- Nonlinear Dynamics
Background:
- Casting-mould systems involve complex heterogeneous interactions.
- Integer and fractional-order partial differential equations describe these systems.
- Approximate solutions are crucial for analyzing complex physical phenomena.
Purpose of the Study:
- To investigate an approximate solution for casting-mould heterogeneous systems using the Caputo derivative.
- To apply the Yang transform homotopy perturbation method (YT-HPM) for temperature distribution analysis.
- To demonstrate the efficacy of YT-HPM for fractional-order differential equations.
Main Methods:
- The Yang transform homotopy perturbation method (YT-HPM) is employed.
- This method combines the Yang transform (YT) and the homotopy perturbation method (HPM) with He's polynomials.
- The approach is applied to solve fractional-order partial differential equations.
Main Results:
- The YT-HPM provides an effective approximate solution for the temperature distribution in casting-mould heterogeneous systems.
- The method successfully handles both integer and fractional-order differential equations within the system.
- Demonstrated superiority through illustrative examples, showing minimal computational effort.
Conclusions:
- The YT-HPM is a powerful and robust technique for nonlinear problems in fractal calculus.
- This method offers a significant advancement in the functional studies of heterogeneous systems.
- The approach minimizes computational complexity without requiring restrictive assumptions.
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