Pimpunchat, Busayamas

Preferred name

Alternative Name

Pimpunchat, B.

Main Affiliation

School of Science

busayamas.pi@kmitl.ac.th

Now showing 1 - 10 of 20

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Water quality analysis for the depletion of dissolved oxygen due to exponentially increasing form of pollution sources
(2020-01-01)
Manitcharoen, N.
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Pimpunchat, B.
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Sattayatham, P.
Analyzing and improving mathematical models for water quality investigation are imperative for water quality issues around the world. This study is aimed at presenting the 1D unsteady state regarding analytical and numerical solutions of dissolved oxygen (DO) concentration in a river, in which the increase of pollution from a source is considered as an exponential term. Laplace transformation was utilized to obtain analytical solutions, while the finite difference technique was selected for numerical solutions. The results show that the rate of pollutant addition along the river (q) and the arbitrary constants of an exponentially increasing pollution source term (λ) affected inversely, while the initial concentration Xi affected directly, DO in the river. These solutions and simulations can be enabled for testing in various scenarios in terms of the behavior of oxygen depletion in polluted rivers.
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More accurate simulation for insurance data based on a modified SVM polynomial method
(2023-06-01)
Nurhidayat, Irfan
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Pimpunchat, Busayamas
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Klomsungcharoen, Wiriyabhorn
This study aims to present the modified SVM polynomial method in order to evaluate insurance data. The research methodology discusses classical and modified SVM polynomial methods by R programming, and uses performance profiles to create the most preferable methods. It offers a new algorithm called an accurate evaluating algorithm as the way to construct the modified SVM polynomial method. The classical SVM polynomial method is also represented as the main idea in finding the modified polynomial SVM method. Model Performance Evaluation (MPE), Receiver Operating Characteristics (ROCs) Curve, Area Under Curve (AUC), partial AUC (pAUC), smoothing, confidence intervals, and thresholds are further named an accurate evaluating algorithm, employed to build the modified SVM polynomial method. The research paper also presents the best performance profiles based on the computing time and the number of iterations of both classical and modified SVM polynomial methods. Performance profiles show numerical comparisons based on both methods involving insurance data also displayed in this paper. It can be concluded that applying an accurate evaluating algorithm on the modified SVM polynomial method will improve the data accuracy up to 86% via computing time and iterations compared to the classical SVM polynomial method, which is only 79%. This accurate evaluating algorithm can be applied to various large-sized data by utilizing R programming with changing any suitable kernels for that data. This vital discovery will offer solutions for faster and more accurate data analysis that can benefit researchers, the private sector, or governments struggling with data.
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Building resilience for sustainability of MSMEs post COVID-19 outbreak: An Indian handicraft industry outlook
(2023-02-01)
Agarwal, Vernika
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Mathiyazhagan, K.
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Malhotra, Snigdha
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Pimpunchat, Busayamas
The handicraft business constitutes concept selling rather than mere product selling, which is highly dependent on demand. Handicrafts' Micro Small and Medium Enterprises (MSMEs) have an expanding market in developed countries. The impact of the pandemic on this industry is severe due to the industry's informal nature and seasonal demand. The survival and resilience of these handicraft MSMEs face many challenges in the post-COVID-19 outbreak. The focus of the present study is to understand and analyze the key challenges for building resilience in handicraft MSMEs by scrutinizing the existing literature and interactions with stakeholders. EFA and the Grey DEMATEL approach are used to analyze the challenges for the adoption of resilience. EFA is used to categorize the challenges into various dimensions. The study has divided the challenges for the inclusion of resilience into survivable, sustainable, and viable categories using EFA to plan for short- and long-term business growth. Grey DEMATEL is being utilized for understanding these contextual relationships for each resilience dimension. Grey systems theory is a methodology that enables the incorporation of improbability and vagueness into the analysis. Findings of the study revealed the influencing challenges for each of the dimensions such as competition from machine-made products, insufficient government support and incentives for export, and inefficient managerial concern and response to internationalization as the prominent challenges. The results of this study illustrate the causal relationships amongst the identified resilience challenges to the various stakeholders. These findings offer practical insights for the government to allocate resources and impose measures to ensure resilience, as well as understanding the cause-effect relationship. Managerial implications and Policy insights for building the resilience of handicraft MSMEs are discussed in detail.
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Analytical and Numerical Solutions of Pollution Concentration with Uniformly and Exponentially Increasing Forms of Sources
(2020-01-01)
Manitcharoen, N.
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Pimpunchat, B.
The study of pollution movement is an important basis for solving water quality problems, which is of vital importance in almost every country. This research proposes the motion of flowing pollution by using a mathematical model in one-dimensional advection-dispersion equation which includes terms of decay and enlargement process. We are assuming an added pollutant sources along the river in two cases: uniformly and exponentially increasing terms. The unsteady state analytical solutions are obtained by using the Laplace transformation, and the finite difference technique is utilized for numerical solutions. Solutions are compared by relative error values. The result appears acceptable between the analytical and numerical solutions. Varying the value of the rate of pollutant addition along the river (q) and the arbitrary constant of exponential pollution source term (λ) is displayed to explain the behavior of the incremental concentration. It is shown that the concentration increases as q and λ increase, and the exponentially increasing pollution source is a suitable model for the behavior of incremental pollution along the river. The results are presented and discussed graphically. This work can be applied to other physical situations described by advection-dispersion phenomena which are affected by the increase of those source concentrations.
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Suction-Enhanced Nanofluid Flow with Vibration Thermophoresis and Brownian Motion Considerations: A Peristaltic Study
(2026-01-01)
Govindan, Vediyappan
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Lakshmi, R.
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Vijayakumar, P.
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Pimpunchat, Busayamas
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Althobaiti, Maha M.
Purpose: In recent years, nanofluids have been widely used in energy technologies and have already shown significant promise in the thermal amplification of numerous manufacturing industries. Due to its numerous applications in the operation of mineral oils, water, solar energy, and microelectronics, the study of nanofluid is becoming a significant area of research. For this reason, the present framework looks into how suction and injection affect the properties of the nanofluid flow. This article has addressed the role of the slip effect, another significant physical component in the flow analysis. Methods: The mathematical analysis in this paper was conducted using low Reynolds number and long wavelength approximations. Analytical equations for temperature profile, velocity, pressure rate nanoparticles, and stream function are developed. Pressure gradient, velocity, frictional force, and other physical properties are combined to generate a graphic representation. Results: Brownian motion features and thermophoresis serve as examples of the extraordinary properties of nanofluid. In many operating systems with higher temperature gradients, thermophoresis is relevant to mass transport processes. The influence of thermophoresis and Brownian motion factors on flow characteristics was demonstrated using graphs. The profile of temperature rises with an increase in the thermophoresis parameter. The volume fraction of nanoparticle profiles decreases with an increase in thermophoresis factors. Conclusion: Numerous industrial and biological applications, blood pumps in heart and lung machines, including the movement of hygienic fluids, the transfer of caustic fluids where it is forbidden for the fluid to come into touch with equipment parts, call for this type of study. Medical procedures like oxygenation and hemodialysis can benefit from this research as well.
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Analytical analysis of the magnetic field, heat generation and absorption, viscous dissipation on couple stress casson hybrid nano fluid over a nonlinear stretching surface
(2022-12-01)
Hameed, Nabila
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Noeiaghdam, Samad
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Khan, Waris
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Pimpunchat, Busayamas
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Fernandez-Gamiz, Unai
The aim of this research paper is to study two-dimension flow of Casson hybrid nanofluid along with magnetic field, heat generation and absorption, and viscous dissipation on a nonlinear extending surface. The primary goal of this study is to improve the heat transfer relationship, which is in high demand in the manufacturing and engineering industries. The outputs of this study will be used to reduce the energy consumption in industry and other engineering fields,for example, the achievement of energy is not enough, but also to adjust the consumptions of energy and this is possible only to approve the development heat transmission liquids to mechanism the expenditures of energy and to improvement. The described similarity transformation is used to convert the non-dimensionless form of the nonlinear partial differential equation to the dimensionless form of the nonlinear ordinary differential equation. An approximate analytical method is used to solve the derived dimensionless form of nonlinear ordinary differential equations, one for velocity and the other for temperature. Graphs are used to highlight the most relevant results acquired from velocity and temperature. Tables are used to describe the skin friction coefficient and the Nusselt number.
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Numerical computing of Soret and linear radiative effects on MHD Casson fluid flow toward a vertical surface through a porous medium: Finite element analysis
(2022-11-20)
Alrehili, Mohammed F.
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Shankar Goud, B.
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Dharmendar Reddy, Y.
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Mishra, S. R.
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Lashin, Maha M.A.
In this work, we investigate the time-dependent MHD free convection of Casson fluid across a vertical semi-infinite plate fitted inside a permeable medium, along with viscous dissipation, radiation absorption, and Soret effect by using several non-dimensional variables. The characteristics of a variety of elements influencing the flow phenomenon are examined using the Casson fluid model. The governing dimensional partial differential equations are transformed into an ordinary differential equation set by introducing the similarity variables. The reduced model is numerically solved via the Galerkin finite element method. The non-dimensional equations with suitable boundary conditions can be mathematically simplified using the efficient Galerkin finite element approach. The restrictions are shown numerically and graphically, and their effects on temperature, velocity, species concentration, and rate coefficients are all shown. This study is to present the influence of radiation absorption along with viscous dissipation on the heat transfer phenomenon. For different flow parameter estimations, graphs are generated for various flow profiles as well as skin friction coefficients. The Nusselt (Nu) and Sherwood (Sh) quantities are also demonstrated via graphs.
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Brownian motion effects and thermophoresis on heat transmission mechanism of hybrid nano liquid flow over a stretched wedge surface
(2025-06-01)
Swami, Sharanayya
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Biradar, Suresh
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Tawade, Jagadish V.
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Govindan, Vediyappan
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Byeon, Haewon
The current study observes the impact of thermophoresis, Brownian motion, and magnetic fields on the flow and heat transfer properties of a hybrid nanofluid containing Al<inf>2</inf>O<inf>3</inf>, CuO, and ethylene glycol over a wedge-shaped surface undergoing horizontal stretching. The study addresses the critical need to enhance energy transfer and thermal management systems, which have significant technical and industrial applications. To model the problem, flow equations were transformed into ordinary differential equations using similarity transformations and solved numerically via the Runge-Kutta-Fehlberg method. The results reveal that the wedge angle and magnetic field strength are crucial factors influencing the flow and thermal behavior. Specifically, increasing the wedge angle enhances the Nusselt number but reduces the thermal and diffusion profiles. The suction and injection of the fluid significantly impact the local heat transfer rates and boundary layer thickness. Additionally, the Buongiorno slip parameter reduces the rate of energy transfer while amplifying thermal distributions. The thermophoresis parameter was found to influence both concentration and thermal boundary layers. A comparative analysis between Newtonian and non-Newtonian fluids showed that hybrid nanofluids improve mass and energy transfer rates in both cases, with enhanced effects observed in non-Newtonian fluids. The study's novelty lies in its comprehensive exploration of magneto-flow dynamics and hybrid nanofluid behavior in the context of wedge geometries and external magnetic fields. The findings extend previous research by offering quantitative insights into how key parameters like wedge angles, thermophoresis, and Brownian motion affect heat and mass transfer processes, providing a robust framework for optimizing hybrid nanofluid applications in engineering and industrial systems. The results align well with existing literature, validating the study's contributions to the field.
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Numerical simulation of unsteady MHD bio-convective flow with Cattaneo-Christov heat flux over a stretching surface
(2025-04-01)
Shalini, Chinnam A.A.E.
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Ganteda, Charankumar
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Reddy, G. V.Ramana
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Maheswari, B. Uma
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Kokila, G.
The study explores the properties of mass and heat transfer in a time-dependent, unsteady magnetohydrodynamic (MHD) flow over a permeable, radiative, and expanded surface, incorporating bio-convection, nanoparticle suspension, and gyrotactic bacteria dynamics. The model considers the effects of emission, speed slip, and bio-thermal convection in the fluid system. The Cattaneo-Christov heat flux model is employed to account for the finite speed of thermal diffusion, and the fourth-order Runge-Kutta method with the shooting technique is utilized for numerical solutions. Additionally, the study investigates the influence of mass suction, heat source, and aligned magnetic field on the boundary layer. The local concentration of mobile microorganisms decreases as the stretching parameter and bio-convection Schmidt both improve. The concentration φ(η) gets stronger, and when Sc values increase, it decreases. The concentration of microorganism h(η) is strengthened by increasing angle β, but it is diminished by increasing Pe,Sb and Sc, respectively.Even if the rate of temperature transmission (Nu) is maximal for positive values of A relative to negative values, the friction drags (C<inf>f</inf>) are more powerful for negative values of A than for positive values of A.
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Effects of mass transfer and MHD Casson nanofluid heat transfer on thermophoresis at stagnation point
(2025-05-01)
Seethamahalakshmi, V.
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Venkata Kalyani, U.
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Padma, A.
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Nagalakshmi, P. S.S.
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Ramana Reddy, G. V.
This study seeks to analyse the magnetohydrodynamic (MHD) flow of a nanofluid, focussing on heat and mass transfer in nano liquids over a stretchable surface near a stagnation point, while considering changeable thermal conductivity. The thermal behavior of the suspended nanoparticles is found to be significantly affected by Brownian motion. The influence of the chemical responses well as the continuous inner warmth source or washbasin are in addition taken into account. The governing equations are changed into a system of coupled ordinary differential equations utilising an appropriate similarity transformation. The computational software PYTHON is employed to address the boundary value problem (BVP) utilising the shooting method. The numerical results are supported by the online PYTHON software function bvp4c. The numerical results are derived by varying the values of the physical parameters associated with the flow problem. The results are presented in graphical and tabular formats. As the thermal energy of the liquid increases, the thermophoresis values trend upward, while the Nb values show a downward trajectory. Also, we found that the response rate encourages a reduction in the thermal boundary layer's thickness.

Pimpunchat, Busayamas

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