Cutting force prediction when green machining of thin-walled ti-6al-4v under dry and mql-cutting using response surface methodology and artificial neural networks-algorithm

• Main Authors: Yanis, M., Mohruni, A. S., Sharif, S., Yani, I., Suzen, Z., Ahmad, Z. A.
• Format: Conference or Workshop Item
• Published: 2019
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/89739/; https://dx.doi.org/10.1063/1.5118035

Thin-walled parts most frequently used to decrease the weight of different design part of the aviation industry. Ti6Al4V is highly applied in thin-walled because it possesses several promising inherent characteristics like high strength maintained at elevated temperature, low density, high creep etc...