Article Info
Abstract
This paper delves into the intricate thermal dynamics of machining processes, focusing on the interplay of cutting speed, tool material, and cooling methods. Utilizing a combination of Temperature Field Reconstruction (TFR) method, Thermally Assisted Machining (TAM), finite element analysis, and statistical modeling, the research provides a comprehensive understanding of temperature distribution during precision machining. The study reveals the direct correlation between cutting speed and elevated temperatures, emphasizing the critical role of this parameter in thermal dynamics. Advanced coatings on tools exhibit superior heat dissipation capabilities, contributing to prolonged tool life. The assessment of cooling methods highlights the effectiveness of cryogenic cooling and Minimum Quantity Lubrication (MQL), offering practical insights for temperature control strategies. Statistical analyses and predictive modeling quantitatively express the relationships between cutting parameters and temperature distribution, providing valuable tools for informed decision-making in machining processes. The findings contribute both theoretically and practically to the optimization of precision machining, guiding tool material selection and cooling strategy decisions. The research lays the groundwork for future investigations into simultaneous optimization of multiple factors and extends the study to encompass advanced machining technologies.