Results 101 to 110 of about 6,212 (300)

A Design Methodology for the Prediction of Squeeze Film Stiffness and Damping Characteristics in Hybrid Journal Bearings under Pulsatile Load Conditions.

, 2010
A theoretical investigation into the prediction and measurement of squeeze film stiffness and damping for double hole entry hybrid journal bearings has been undertaken together with a review of previous work to identify critical bearing parameters ...
Weston, Bill, Kinnear, D., Padgett, C., Mishra, Rakesh   +3 more
core  

Investigation of a complete squeeze-film damping model for MEMS devices. [PDF]

Microsyst Nanoeng, 2021
Lu Q, Fang W, Wang C, Bai J, Yao Y, Chen J, Xu X, Huang W.   +7 more
europepmc   +1 more source

Eccentric Operation of the Squeeze-Film Damper

, 1978
The squeeze-film damper, undergoing a whirl orbit as may be caused by rotor unbalance, resists eccentricity of the whirl orbit with a static stiffness which is proportional to the dynamic force carried by the squeeze-film.
Jorgen Tonnesen, Coda H. T. Pan
core   +1 more source

Design And Application Of Squeeze Film Dampers In Rotating Machinery. [PDF]

, 1996
Tutorialpg. 169-188There are common misconceptions and occasional misapplications associated with squeeze film dampers. The authors have worked for more than 25 years researching, experimenting, and applying this subject matter to all types of ...
Andres, Luis San, Zeidan, Fouad Y., Vance, John M.   +2 more
core   +1 more source

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

Advanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li, Nilanka M. Keppetipola, Yu Wang, Gwenaëlle Rousse, Romain Dugas, Anatolii V. Morozov, Artem M. Abakumov, Héloïse Pages, Mouna Ben Yahia, Marie‐Liesse Doublet, Ozlem Sel, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

Stochastic reynolds equation for magnetohydrodynamics micropolar fluid and surface roughness in squeeze-film lubrication characteristics of rough parallel rectangular plates

Partial Differential Equations in Applied Mathematics
This study presents a comprehensive theoretical investigation into the influence of surface roughness, magnetohydrodynamics (MHD), and micropolar fluid dynamics on the squeeze film behavior between two wide, parallel rectangular plates.
B.S. Asha, H.M. Shivakumar, B.N. Hanumagowda, Jagadish V. Tawade, Barno Abdullaeva, Manish Gupta, Murali Gundagani, Taoufik Saidani, Nadia Batool   +8 more
doaj   +1 more source

Linear squeeze film with constant rotational speed

, 2008
Squeeze-film action in lubrication is present in many mechanical components, such as bearings, squeeze-film dampers, piston pins, and piston rings, as well as in natural and artificial joints.
Khonsari, M. M., Jang, J. Y.
core   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan, Aaron B. Naden, Paul A. Connor, A. Robert Armstrong, John T. S. Irvine   +4 more
wiley   +1 more source

Dynamic Behavior of an Inherently Compensated Air Squeeze Film Damper

, 1975
Experimental values of damping and stiffness were determined for an externally pressurized, inherently compensated, compressible squeeze-film damper up to excitation frequencies of 36,000 cycles/min.
R. E. Cunningham
core   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source