Results 41 to 50 of about 2,009,459 (332)

Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network [PDF]

, 2020
In this paper, an artificial neural network is implemented for the sake of predicting the thermal conductivity ratio of TiO2-Al2O3/water nanofluid. TiO2-Al2O3/water in the role of an innovative type of nanofluid was synthesized by the sol–gel method. The
Ahmadi, Mohammad Hossein, Ghazvini, Mahyar, Khadang, Amirhosein, Maddah, Heydar, Mosavi, Amirhosein, Nabipour, Narjes, Sadeghzadeh, Milad   +6 more
core   +2 more sources

Efficient Thermal Error Models of Machine Tools

, 2020
ISBN:978-3-907234-09 ...
openaire   +3 more sources

Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable

Journal of Harbin University of Science and Technology, 2019
In order to measure the thermal error of the spindle in the actual cutting process of CNC machine tools and optimize the output of the thermal error model, a method of measuring the thermal error of the spindle of machine tools by using the thermal test ...
LIU Xianli, SONG Houwang, WU Shi, YUE Caixu, Steven Y.Liang, LI Rongyi   +5 more
doaj   +1 more source

Stereolithography Cure Process Modeling Using Acrylate Resin [PDF]

, 2004
In this paper, a complex stereolithography (SL) cure process model is presented that incorporates transient thermal and chemical effects which influence final part shape and properties.
Henderson, Clifford L., Muzzy, John, Rosen, David W., Tang, Yanyan   +3 more
core   +1 more source

Thermal error modeling of servo axis based on optimized LSSVM with gray wolf optimizer algorithm

Case Studies in Thermal Engineering
Thermal error of a CNC machine tool has a serious effect on its machining accuracy. In order to reduce the thermal error, establishing an accurate and robust thermal error model is necessary.
Yang Li, Yue Yang, Jiaqi Wang, Fusheng Liang   +3 more
doaj   +1 more source

A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools

Applied Sciences, 2017
A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed.
Fengchun Li, Tiemin Li, Haitong Wang, Yao Jiang   +3 more
doaj   +1 more source

Determination of Core Losses Using an Inverse Modeling Technique

IEEE Access, 2022
This paper presents an inverse thermal modeling technique to determine the core losses from the temperature rise inside the transformer core. For this purpose, initially, a customized printed circuit board (PCB) with thermal sensors is used to measure ...
Osaruyi Osemwinyen, Ahmed Hemeida, Floran Martin, Ismet Tuna Gurbuz, Payam Shams Ghahfarokhi, Anouar Belahcen   +5 more
doaj   +1 more source

Geometric Error Modeling of a Super-size Floor Type Boring Machine [PDF]

, 2012
Volumetric error analysis of a super-size floor type boring machine is conducted through geometric error modeling of the machine tool. Thermal deformation errors of the joint and shape elements are included in the model.
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core  

Multi-mode states in decoy-based quantum key distribution protocols

, 2009
Every security analysis of quantum key distribution (QKD) relies on a faithful modeling of the employed quantum states. Many photon sources, like for instance a parametric down conversion (PDC) source, require a multi-mode description, but are usually ...
Helwig, Wolfram, Mauerer, Wolfgang, Silberhorn, Christine   +2 more
core   +1 more source

The role of histone modifications in transcription regulation upon DNA damage

FEBS Letters, EarlyView.
This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley   +1 more source