Results 231 to 240 of about 5,151,847 (295)

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Application of NMPC in the processing of Wolter-I grazing incident mirrors. [PDF]

Sci Rep
Ding S, Yao S, Sun L, Li J, Zhou H.
europepmc   +1 more source

Sustainable Approach for Improving Tool Life and Surface Quality During Diamond Cutting of Ultra-Low-Expansion Glass Using Laser Assistance. [PDF]

Micromachines (Basel)
Zhang H, Zhu S, Chen X, Lin C.
europepmc   +1 more source

Intelligent prediction and optimization of nanofluid-assisted turning using hybrid generative deep learning. [PDF]

Sci Rep
Sahu NK, Raju RA, Patel R, Jaiswal A.
europepmc   +1 more source

Study on the Machining Characteristics of SiCp/Al Under Pulsed Laser-Ultrasonic Vibration-Assisted Composite Turning. [PDF]

Micromachines (Basel)
Du G, Gu Y, Fu B, Wang X, Han L, Zhao J, Yu B, Wu M.   +7 more
europepmc   +1 more source

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm. [PDF]

Sci Rep
Bai W.
europepmc   +1 more source

Carbon Nanotube Fiber Electrode Prepared by Charge Dynamic Regulation for Nano Electrochemical Machining. [PDF]

Small
Meng L, Ai Z, Yi P, Li Y, Yang Y, Li H, Li Y.   +6 more
europepmc   +1 more source

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Evolutionary support center machine

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
Support vector machines (SVMs) are powerful tools in machine learning community, but it is not easy to select suitable parameters for them. And, very often SVMs show slow speeds in test phase due to their large number of support vectors. To remedy SVMs deficiencies, we propose a novel SVM-like method, which is called evolutionary support center machine
Zhiyong Lin, Zhifeng Hao, Xiaowei Yang 0003   +2 more
openaire   +2 more sources