Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining

• Main Authors: Maher, I., Eltaib, M.E.H., Sarhan, A.A.D., El-Zahry, R.M.
• Format: Article
• Language: English
• Published: Springer Verlag 2015
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.um.edu.my/13815/1/Cutting_force-based_adaptive_neuro-fuzzy_approach_for.pdf; http://eprints.um.edu.my/13815/; http://link.springer.com/article/10.1007/s00170-014-6379-1
• Institution: Universiti Malaya

End milling is one of the most common metal removal operations encountered in industrial processes. Product quality is a critical issue as it plays a vital role in how products perform and is also a factor with great influence on manufacturing cost. Surface roughness usually serves as an indicator o...