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Jörg R. Riccius and Evgeny B. Zametaev
A numerical turbine-blade fatigue-life analysis method is suggested. This method comprises a stationary thermal 3D finite element (FE) analysis of the hot run for the combined high-cycle fatigue (HCF) and creep analysis, and a follow-on (one-way coupled)...
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Sergey N. Grigoriev, Marina A. Volosova, Sergey V. Fedorov, Mars S. Migranov, Mikhail Mosyanov, Andrey Gusev and Anna A. Okunkova
The main purpose of this paper was to study the efficiency of using diamond-like carbon (DLC) coatings based on a-C:H:Si with a pre-formed CrAlSiN sublayer to increase the cutting ability of ball end mills made of KFM-39 cemented carbide at a speed of 15...
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Md Ehsan Asgar, Ajay Kumar Singh Singholi
Pág. 294 - 312
In today?s competitive modern manufacturing sectors, there is a vital need of utter precision and rigorous processing using various manufacturing approaches that directly influences the cost and processing duration of mechanized materials in addition to ...
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Mengxiong Zhao, Tieying Wu, Zhenhua Zhao, Lulu Liu, Gang Luo and Wei Chen
Ultrasonic resonance fatigue test method at 20 kHz related to the very high cycle fatigue (VHCF) aims to accelerate a time-consuming experiment. In this paper, an ultrasonic fatigue device with a data acquisition system was improved for monitoring and re...
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Unai Ulibarri, Lander Galdos, Eneko Sáenz de Argandoña and Joseba Mendiguren
The aeronautical industry is moving from high-capacity large-airplane construction to low-capacity small-airplane construction. With the change in the production volume, there is a need for more efficient manufacturing processes, such as stamping/deep dr...
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Matija Hribersek, Lucijano Berus, Franci Pusavec and Simon Klancnik
Implementation of a machine learning procedure to model the temperature drop in the cryogenic cooling of Inconel 718. Machine learning is performed by an adaptive neuro-fuzzy inference system (ANFIS). Based on a representative set of cryogenic cooling ex...
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Magdalena Cortina, Jon Iñaki Arrizubieta, Eneko Ukar and Aitzol Lamikiz
Hybrid manufacturing processes that combine additive and machining operations are gaining relevance in modern industry thanks to the capability of building complex parts with minimal material and, many times, with process time reduction. Besides, as the ...
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Hamid Tebassi, Mohamed Athmane Yallese, Ikhlas Meddour, Francois Girardin, Tarek Mabrouki
Pág. 1 - 11
This paper is an attempt to compare artificial neural networks and response surface methodology for modeling surface roughness and cutting force in terms of better coefficient of determination (R2), lower root mean square error (RMSE) and model predictiv...
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