Abstract Data‐driven emulation of storm surges has emerged as a valuable tool for supporting regional coastal risk assessment. Surrogate models for such applications are developed using data sets of surge predictions for synthetic storms across a large number of locations, corresponding to the nodes of the utilized numerical model used. Recent work has
P. Toofani Movaghar +3 more
wiley +1 more source
Novel Framework for Quality Control in Vibration Monitoring of CNC Machining. [PDF]
Apostolou G +6 more
europepmc +1 more source
Unravelling friction anisotropy by atomic force microscopy
Abstract Friction plays a crucial role in both natural phenomena, from the flow of blood cells to earthquakes, and technological applications, from car engines to wind turbines. One of the most fundamental aspects of tribology is friction anisotropy, that is, the dependence of the friction force vector on the direction of sliding.
Clodomiro Cafolla, Marcello Campione
wiley +1 more source
Dimensional Characterization and Hybrid Manufacturing of Copper Parts Obtained by Atomic Diffusion Additive Manufacturing, and CNC Machining. [PDF]
Monzón E, Bordón P, Paz R, Monzón M.
europepmc +1 more source
A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations. [PDF]
Yurtkuran H +4 more
europepmc +1 more source
Reduction of noise pollution in CNC wood milling through multi-parameter optimization using response surface methodology. [PDF]
Souri S, Rabiei F.
europepmc +1 more source
An innovative canned cycle for helical milling cylindrical holes with adjustable pitch, radius, and turns. [PDF]
Omirou S +3 more
europepmc +1 more source
A practical optimization method for enhancing drilling efficiency in panel furniture manufacture. [PDF]
Wang G, Xiong X, Fu S, Zhang M, Yang L.
europepmc +1 more source
Machining Micro-Error Compensation Methods for External Turning Tool Wear of CNC Machines. [PDF]
Zhang H, Lu T, Xia Z, Zhang Z, Zhu J.
europepmc +1 more source
Sol-gel and co-precipitation synthesized hybrid nanofluids for enhanced CNC turning of AISI 4340 steel: an experimental and machine learning approach. [PDF]
Efa DA +4 more
europepmc +1 more source

