The natural convection in an inclined porous square cavity is investigated numerically. The left wall is assumed to have spatial sinusoidal temperature variations about a constant mean value, while the right wall is cooled. The horizontal walls are considered adiabatic. A finite difference method is used to solve numerically the nondimensional governing equations. The effects of the inclination angle of the cavity, the amplitude and wave numbers of the heated sidewall temperature variation on the natural convection in the cavity are studied. The maximum average Nusselt number occurs at different wave number. It also found that the inclination could influence the Nusselt number.
Transient natural convection in a square cavity filled with a porous medium is studied numerically. The cavity is assumed heated from one vertical wall and cooled at the top, while the other walls are kept adiabatic. The governing equations are solved numerically by a finite difference method. The effects of Rayleigh number on the initial transient state up to the steady state are investigated for Rayleigh number ranging from 10 to2×102. The evolutions of flow patterns and temperature distributions were presented for Rayleigh numbers,Ra=102and103. It is observed that the time taken to reach the steady state is longer for low Rayleigh number and shorter for high Rayleigh number.
's spread has altered the learning process at all educational levels, resulting in the proliferation of virtual classrooms throughout the world. The purpose of this study is to determine lecturer satisfaction with Microsoft Teams' use in online learning during the COVID-19 pandemic. This way, we can implement the necessary improvements to ensure that students and lecturers are satisfied with their use of Microsoft Teams. Thirty-four lecturers from UiTM Cawangan Negeri Sembilan (UiTMNCS) participated in the study. Five criteria were used consisting of: Basic Microsoft Teams Functions, Discussion, Assessments, Features, and Attendance Form. Data were collected via questionnaires and then distributed to respondents via Google forms. All calculations were performed using the SPSS Statistics 26 software. The findings indicated that Basic Microsoft Teams Functions is the most effective criterion, while Assessments and Attendance Form is the least effective. The sub-criteria rating with the highest score is Creating a TEAM is simple and straightforward, and the lowest score indicates that Microsoft Teams works well even with slow internet. Chi-square test for independent variable shows there is no relationship between gender, residential area, faculties and teaching experience of UiTMCNS lecturers with sub criteria functions in Basic Functions of Microsoft Teams, Discussion, Assessments, Features and Attendance Form. Further research will be proposed to improve the attendance system by integrating it with the Microsoft team's attendance sheet.
In this paper, the Newell-Whitehead-Segel (NWS) equation is solved using the integral iterative method (IIM) to determine the accuracy and effectiveness of the method. Comparison of results obtained by IIM with the exact solution and other existing results obtained by other methods such as new iterative method (NIM), Adomian decomposition method (ADM) and Laplace Adomian decomposition method (LADM) revealed the accuracy and effectiveness of the method. The approximation results obtained by IIM is comparable with the others. IIM is reliable and easier in solving the nonlinear problems since this method is simple, straightforward and does not require calculating multiple integral and demand less computational work.
Newell-Whitehead-Segel (NWS) equation is a nonlinear partial differential equation used in modeling various phenomena arising in fluid mechanics. In recent years, various methods have been used to solve the NWS equation such as Adomian Decomposition method (ADM), Homotopy Perturbation method (HPM), New Iterative method (NIM), Laplace Adomian Decomposition method (LADM) and Reduced Differential Transform method (RDTM). In this study, the NWS equation is solved approximately using the Semi Analytical Iterative method (SAIM) to determine the accuracy and effectiveness of this method. Comparisons of the results obtained by SAIM with the exact solution and other existing results obtained by other methods such as ADM, LADM, NIM and RDTM reveal the accuracy and effectiveness of the method. The solution obtained by SAIM is close to the exact solution and the error function is close to zero compared to the other methods mentioned above. The results have been executed using Maple 17. For future use, SAIM is accurate, reliable, and easier in solving the nonlinear problems since this method is simple, straightforward, and derivative free and does not require calculating multiple integrals and demands less computational work.
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