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Neural Network Modeling for Face Milling Operation

International Journal of Vehicle Structures and Systems, 2019
Milling 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
openaire   +1 more source

Influence of Steel Hardness in Face-Milling

Journal of Fluids Engineering, 1949
Abstract 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
openaire   +1 more source

Monitoring Face Milling Using Fuzzy Logic

1992
Cutting 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.
openaire   +1 more source

Navigating financial toxicity in patients with cancer: A multidisciplinary management approach

Ca-A Cancer Journal for Clinicians, 2022
Grace Li Smith   +2 more
exaly  

Improving the effectiveness of face milling

Chemical and Petroleum Engineering, 1985
V. A. Sletkov   +3 more
openaire   +1 more source

The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances

ACM Computing Surveys, 2022
Hang Du, Hailin Shi, Dan Zeng
exaly  

Exceptionally Robust Face‐Sharing Motifs Enable Efficient and Durable Water Oxidation

Advanced Materials, 2021
Zhiwei Hu, Wei Zhou, zongping shao
exaly  

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