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Neural Network Modeling for Face Milling Operation
International Journal of Vehicle Structures and Systems, 2019Milling operation is one of the important manufacturing processes in production industry. Study and analysis of milling process parameters such as spindle speed, feed rate and depth of cut are important for process planning engineers. The responses are temperature, surface roughness, machining time, feed force, thrust force and cutting force.
B. Sureshkumar +3 more
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Influence of Steel Hardness in Face-Milling
Journal of Fluids Engineering, 1949Abstract Face-milling tests are reported on seven different kinds of steels for power consumption and tool life at hardnesses of approximately 200, 300, and 400 Bhn. At any given hardness power requirements varied but little, but differences in tool life were considerably greater.
J. B. Armitage, A. O. Schmidt
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Monitoring Face Milling Using Fuzzy Logic
1992Cutting process monitoring is mainly aimed at preventing undesirable damage to the machining system components caused by the failure of cutting tools. Additionally in order to optimize adaptive control, tool wear and the changes in the process should continuously be sensed.
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Navigating financial toxicity in patients with cancer: A multidisciplinary management approach
Ca-A Cancer Journal for Clinicians, 2022Grace Li Smith +2 more
exaly
Improving the effectiveness of face milling
Chemical and Petroleum Engineering, 1985V. A. Sletkov +3 more
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The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
ACM Computing Surveys, 2022Hang Du, Hailin Shi, Dan Zeng
exaly
Face‐to‐Face Growth of Wafer‐Scale 2D Semiconducting MOF Films on Dielectric Substrates
Advanced Materials, 2021Youxing Liu, Jianyi Chen, Yunqi Liu
exaly
Exceptionally Robust Face‐Sharing Motifs Enable Efficient and Durable Water Oxidation
Advanced Materials, 2021Zhiwei Hu, Wei Zhou, zongping shao
exaly

