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The Self-Ironing Machine is an innovative solution designed to revolutionize fabric ironing on a small scale, catering to the increasing demand for portable and user-friendly ironing devices. It integrates intelligent features to enhance versatility, including a compact design housing essential elements such as a heating plate, a heating roller, and a temperature identification sensor, alongside specialized buttons for different fabric types. The project's objective was to develop a portable self-ironing machine that simplifies the ironing process while maintaining effectiveness.The machine utilizes a heating plate for precise heating and a weighted roller for consistent pressure application, ensuring optimal results. A standout feature is the integration of a temperature identification sensor, enabling customized ironing treatments tailored to specific fabric requirements. This streamlines the process and reduces the risk of damage to delicate fabrics. User interaction is intuitive with dedicated buttons catering to various fabric needs.Rigorous testing has demonstrated the machine's outstanding performance across different fabric types, highlighting its accuracy and adaptability. In conclusion, the Portable Self-Ironing Machine represents a significant advancement in fabric ironing technology. Its compact and efficient design, coupled with intelligent features, offers an enhanced user experience. With its ability to deliver precise and tailored ironing treatments, this machine stands as a game-changer in the realm of portable fabric care, addressing the needs of modern lifestyles and paving the way for future innovations in the field.

This study presents an innovative visualization tool for the analysis of the mixed convection in a lid-driven air filled cubical cavity heated from below. The total energy of the flow in the cavity isvisualized based on the energy stream functions or energy streamlines. Also the heat transfer enhancement in the cavity is presented with an analogy between conduction and convection, namely, the field synergy principle. Flow is assumed to be driven by the vertical temperature gradient and by the top lid of the cavity, which is assumed to slide on its own plane at a uniform speed. The top and bottom walls are assumed to be isothermal and all other walls are thermally insulated. Non dimensional governing equations of this problem are solved by using the finite volume method. Established open source CFD package OpenFOAM is utilized to investigate the flow with respect to the control parameters arising in the system. The nonlinear terms arising in the governing equations are discretized with the NVD schemes. The convection differencing schemes namely, UPWIND, QUICK, SUPERBEE and SFCD discussed and are used to simulate the flow using MPI code. It is observed that the computational cost for all the differencing schemes get reduced tremendously when the MPI code is implemented. Also SFCD scheme gave the Nuseelt number values close to those available in the literature. Extensive numerical flow visualization is conducted for the Reynolds number (Re = 100, 400, 1000) and the Richardson number (Ri = 0.001, 1, 10), which categorize the free and forced convective flow, respectively. It is observed that for a fixed value of Re, as Ri increases, the average Nusselt number (Nu¯), decreases. This shows that the natural convection starts to prevail with an increasing of Ri. But, for a fixed Ri, as Re increases (Nu¯) increases and the forced convection mode becomes dominant, leading to a chaotic flow. Plots demonstrating the influences of Re and Ri in termsof the contours of the fluid streamlines, isotherms, vortex corelines, and field synergy principle. The synergy angle of buoyant-aiding flow is high while the buoyant-opposing flow is significantly less than that of forced convection flow.

In the present research work, the effects of thermal and induced magnetic fields on the natural convective rotating fluid flow past the vertical cylinder are presented. The numerical solution of the unsteady field variables is obtained by solving the governing non-dimensional non-linear equations. The effects of the Prandtl, Taylor and Chandrasekhar numbers on the induced magnetic field, average momentum and heat transfer coefficients are presented graphically. The field synergy/ coordination principleis discussed to understand the enhancement of convective heat transfer. Increasing values of synergy co–insides with the increasing rate of heat transfer.