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@article{172360,
        author = {Amruta Damodar Ghorpade and Pooja Kulkarni and Kedar Kolhapure},
        title = {Parametric Study on the Influence of Feed Rate and Cutting Speed on Surface Roughness and Residual Stresses},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3003-3008},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172360},
        abstract = {This study investigates the optimization of CNC milling parameters to enhance surface quality and minimize environmental impact. The primary focus is on the effects of cutting speed and feed rate on surface roughness (Ra) and sustainability, specifically in terms of energy consumption, tool wear, and material waste. Using Design of Experiments (DoE) and Response Surface Methodology (RSM), optimal machining conditions are identified for achieving superior surface finishes while minimizing energy usage and waste generation. The results demonstrate that higher cutting speeds generally improve surface roughness, while higher feed rates lead to rougher surfaces. Additionally, the study highlights the importance of balancing machining parameters to reduce environmental impact without compromising product quality. Practical recommendations for industry implementation are provided, emphasizing energy-efficient and sustainable CNC milling practices. Future research directions include exploring tool geometry, machine learning applications, and long-term sustainability analyses.},
        keywords = {CNC Milling, Surface Roughness, Response Surface Methodology (RSM), Sustainable Manufacturing, Optimization Parameters},
        month = {January},
        }