Results 271 to 280 of about 9,576,015 (339)

Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations

IEEE Transactions on Automation Science and Engineering, 2021
Energy-efficient machining has become imperative for energy conservation, emission reduction, and cost saving of manufacturing sectors. Optimal machining parameter decision is regarded as an effective way to achieve energy efficient turning. For flexible
Qinge Xiao   +3 more
semanticscholar   +1 more source

Influence of Machining Parameters on Machinability of Inconel 718—A Review

Advanced Engineering Materials, 2022
Ni‐based superalloy Inconel 718 is renowned owing to its admirable physical and mechanical properties at higher temperatures. Various industries including aerospace and automobile are using this superalloy in gas turbines and other components. Meanwhile,
Ghulam Mustafa   +4 more
semanticscholar   +1 more source

(Machine) learning parameter regions

Journal of Econometrics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Montiel Olea, José Luis, Nesbit, James
openaire   +2 more sources

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