This study presents a comprehensive approach to the dynamic simulation and transient modeling of waste heat recovery (WHR) from gas turbine exhaust systems. The primary focus is on enhancing the efficiency and performance of gas turbines by capturing and utilizing the waste heat that would otherwise be lost. By developing a transient model, the study evaluates the dynamic behavior of the WHR system under varying operating conditions, providing insights into the thermal and fluid dynamic characteristics of the exhaust flow. Advanced simulation techniques are employed to optimize the design and operation of heat recovery units, such as heat exchangers and economizers. The results demonstrate significant potential for energy savings and emissions reduction, highlighting the importance of integrating WHR systems in gas turbine operations. This research contributes to the development of more sustainable and energy-efficient power generation technologies.

This study employs Finite Element Method (FEM) simulations to investigate chip formation dynamics and temperature distribution during machining processes. Understanding these phenomena is crucial for optimizing cutting parameters and enhancing machining efficiency and tool life. The FEM models consider factors such as tool geometry, material properties, and cutting conditions to simulate realistic chip formation and thermal behavior. Insights gained from this research contribute to advancing precision machining technologies.