Keyword search (4,163 papers available)

"Optimization" Keyword-tagged Publications:

Title Authors PubMed ID
1 Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search Alicia Estefania Antonio Figueroa 41751647
CONCORDIA
2 Optimizing Mixtures of Metal-Organic Frameworks for Robust and Bespoke Passive Atmospheric Water Harvesting Harriman C; Ke Q; Vlugt TJH; Howarth AJ; Simon CM; 41427123
CHEMBIOCHEM
3 A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction Zhang Y; Lahmiri S; 41294965
JMSB
4 Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm Lahmiri S; Tadj C; Gargour C; 41294952
ENCS
5 Robust and Compact Electrostatic Comb Drive Arrays for High-Performance Monolithic Silicon Photonics Fasihanifard M; Packirisamy M; 41156349
ENCS
6 Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks Cheng M; He S; Pan Y; Lin M; Zhu WP; 40942666
ENCS
7 Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites Ramezani G; Silva IO; Stiharu I; Ven TGMV; Nerguizian V; 40283268
ENCS
8 What can optimized cost distances based on genetic distances offer? A simulation study on the use and misuse of ResistanceGA Daniel A; Savary P; FoltĂȘte JC; Vuidel G; Faivre B; Garnier S; Khimoun A; 39417711
BIOLOGY
9 Topology optimization of adaptive sandwich plates with magnetorheological core layer for improved vibration attenuation Zare M; Sedaghati R; 39398530
ENCS
10 Discovery and preclinical development of a therapeutically active nanobody-based chimeric antigen receptor targeting human CD22 McComb S; Arbabi-Ghahroudi M; Hay KA; Keller BA; Faulkes S; Rutherford M; Nguyen T; Shepherd A; Wu C; Marcil A; Aubry A; Hussack G; Pinto DM; Ryan S; Raphael S; van Faassen H; Zafer A; Zhu Q; Maclean S; Chattopadhyay A; Gurnani K; Gilbert R; Gadoury C; Iqbal U; Fatehi D; Jezierski A; Huang J; Pon RA; Sigrist M; Holt RA; Nelson BH; Atkins H; Kekre N; Yung E; Webb J; Nielsen JS; Weeratna RD; 38596311
BIOLOGY
11 Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints Roshanfar M; Dargahi J; Hooshiar A; 38275456
ENCS
12 Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography Md Ashikuzzaman 38159299
ENCS
13 Lactate's behavioral switch in the brain: An in-silico model Soltanzadeh M; Blanchard S; Soucy JP; Benali H; 37865309
PERFORM
14 Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration Ge B; Najar F; Bouguila N; 37754943
ENCS
15 Design optimization and experimental evaluation of a large capacity magnetorheological damper with annular and radial fluid gaps Abdalaziz M; Sedaghati R; Vatandoost H; 37521729
ENCS
16 Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada Shafiee Roudbari E; Fatemi Ghomi SMT; Eicker U; 36747987
ENCS
17 Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications Delavari MM; Ocampo I; Stiharu I; 36557445
ENCS
18 A flexible robust model for blood supply chain network design problem Khalilpourazari S; Hashemi Doulabi H; 35474752
ENCS
19 A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; 35372638
ENCS
20 A multiobjective model for the green capacitated location-routing problem considering drivers' satisfaction and time window with uncertain demand Alamatsaz K; Ahmadi A; Mirzapour Al-E-Hashem SMJ; 34415526
ENCS
21 Optimization of the Electrospun Niobium-Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology Fatile BO; Pugh M; Medraj M; 34201513
ENCS
22 A robust optimization model for tactical capacity planning in an outpatient setting Aslani N; Kuzgunkaya O; Vidyarthi N; Terekhov D; 33215335
ENCS
23 Multidisciplinary Design Optimization of a Novel Sandwich Beam-Based Adaptive Tuned Vibration Absorber Featuring Magnetorheological Elastomer. Asadi Khanouki M, Sedaghati R, Hemmatian M 32422988
ENCS
24 Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. Lazli L, Boukadoum M, Ait Mohamed O 31652635
ENCS
25 Mining Enzyme Diversity of Transcriptome Libraries through DNA Synthesis for Benzylisoquinoline Alkaloid Pathway Optimization in Yeast. Narcross L, Bourgeois L, Fossati E, Burton E, Martin VJ 27442619
BIOLOGY
26 Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations. Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C 30107210
PERFORM

 

Title:Design optimization and experimental evaluation of a large capacity magnetorheological damper with annular and radial fluid gaps
Authors:Abdalaziz MSedaghati RVatandoost H
Link:https://pubmed.ncbi.nlm.nih.gov/37521729/
DOI:10.1177/1045389X221151075
Publication:Journal of intelligent material systems and structures
Keywords:Magnetorheological damperbypass MR valvedesign optimizationperformance evaluation
PMID:37521729 Category: Date Added:2023-07-31
Dept Affiliation: ENCS

Description:

This paper presents an optimal design of a large-capacity Magnetorheological (MR) damper suitable for off-road vehicle applications. The damper includes an MR fluid bypass valve with both annular and radial gaps to generate a large damping force and dynamic range. An analytical model of the proposed damper is formulated based on the Bingham plastic model of MR fluids. To establish a relationship between the applied current and magnetic flux density in the MR fluid active regions, an analytical magnetic circuit is formulated and further compared with a magnetic finite element model. The MR valve geometrical parameters are subsequently optimized to maximize the damper dynamic range under specific volume and magnetic field constraints. The optimized MR valve can theoretically generate off-state and on-state damping forces of 1.1 and 7.41 kN, respectively at 12.5 mm/s damper piston velocity. The proposed damper has been also designed to allow a large piston stroke of 180 mm. The proof-of-concept of the optimally designed MR damper was subsequently fabricated and experimentally characterized to investigate its performance and validate the models. The results show that the proposed MR damper is able to provide large damping forces with a high dynamic range under different excitation conditions.





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