Analysis of a Mathematical Model for Drilling System With Reverse Air Circulation by Using the ANN-BHCS Technique

Ahmad, Ashfaq; Sulaiman, Muhammad; Bakar, Maharani A.; Miftahuddin,

doi:10.1109/access.2021.3107405

IEEE Access

2021

DOI: 10.1109/access.2021.3107405

|View full text |Cite

Analysis of a Mathematical Model for Drilling System With Reverse Air Circulation by Using the ANN-BHCS Technique

Ashfaq Ahmad

Muhammad Sulaiman

Maharani A. Bakar

et al.

Abstract: The authors acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2023

Publication Types

Select...

Article6

Relationship

Self Cite2

Independent4

Authors

Journals

Cited by 7 publications

(1 citation statement)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In numerical solvers, the stochastic solvers are more efficient and attractive to be implemented as an alternative choice due to the robustness, simplicity of the concept, reliability and easy operation for nonlinear systems based on integer and fractional-order differential equations [38][39][40][41][42][43][44][45][46][47][48][49][50][51]. Numerical stochastic approaches based on soft computing techniques became valuable because of consistency in convergence and accuracy.…”

mentioning

confidence: 99%

Falkner–Skan Flow with Stream-Wise Pressure Gradient and Transfer of Mass over a Dynamic Wall

Khan

Sulaiman

Romero

et al. 2021

Entropy

Self Cite

View full text Add to dashboard Cite

In this work, an important model in fluid dynamics is analyzed by a new hybrid neurocomputing algorithm. We have considered the Falkner–Skan (FS) with the stream-wise pressure gradient transfer of mass over a dynamic wall. To analyze the boundary flow of the FS model, we have utilized the global search characteristic of a recently developed heuristic, the Sine Cosine Algorithm (SCA), and the local search characteristic of Sequential Quadratic Programming (SQP). Artificial neural network (ANN) architecture is utilized to construct a series solution of the mathematical model. We have called our technique the ANN-SCA-SQP algorithm. The dynamic of the FS system is observed by varying stream-wise pressure gradient mass transfer and dynamic wall. To validate the effectiveness of ANN-SCA-SQP algorithm, our solutions are compared with state-of-the-art reference solutions. We have repeated a hundred experiments to establish the robustness of our approach. Our experimental outcome validates the superiority of the ANN-SCA-SQP algorithm.

show abstract

mentioning

confidence: 99%

Falkner–Skan Flow with Stream-Wise Pressure Gradient and Transfer of Mass over a Dynamic Wall

Khan

Sulaiman

Romero

et al. 2021

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

Solving partial differential equations with hybridized physic-informed neural network and optimization approach: Incorporating genetic algorithms and L-BFGS for improved accuracy

Pratama

Abo-Alsabeh

Bakar

et al. 2023

Alexandria Engineering Journal

View full text Add to dashboard Cite

Physical restriction neural networks with restarting strategy for solving mathematical model of thermal heat equation for early diagnose breast cancer

Pratama

Bakar

Ibrahim

et al. 2023

Results in Applied Mathematics

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

334 Leonard St

Brooklyn, NY 11211

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Analysis of a Mathematical Model for Drilling System With Reverse Air Circulation by Using the ANN-BHCS Technique

Abstract: The authors acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT.

Cited by 7 publications

References 72 publications

Falkner–Skan Flow with Stream-Wise Pressure Gradient and Transfer of Mass over a Dynamic Wall

Falkner–Skan Flow with Stream-Wise Pressure Gradient and Transfer of Mass over a Dynamic Wall

Solving partial differential equations with hybridized physic-informed neural network and optimization approach: Incorporating genetic algorithms and L-BFGS for improved accuracy

Physical restriction neural networks with restarting strategy for solving mathematical model of thermal heat equation for early diagnose breast cancer

Contact Info

Product

Resources

About