Published Paper Details:

The current research focuses on investigating various adjustable factors that impact the outcomes, such as the magnitude of vibrations. The ability to predict vibrations between the tool and workpiece is crucial for machine tool users to select optimal cutting parameters, such as depth of cut and spindle rotation, in order to minimize vibrations. Machining is a complex process where several parameters can negatively affect the desired outcome. Among them, cutting tool vibrations play a significant role in influencing dimensional precision of machined components and the lifespan of cutting tools. Cutting tool vibrations primarily occur due to cutting parameters such as cutting speed, depth of cut, and tool feed rate. In this study, cutting tool vibrations are managed in a lathe machine by utilizing a tool holder supported with and without a damping pad. The vibration signals of the cutting tool are controlled and analyzed using FFT (Fast Fourier Transform) analysis. To predict and validate the results, the Taguchi method, experimental studies, and data analysis are conducted to confirm the effectiveness of the proposed damping system. Additionally, a regression analysis is employed to develop the most suitable equation for predicting the expected response value based on given predictor values.