Numerical and experimental validation of the breadboard model of a novel hexapod platform for high-performance micro-vibration mitigation

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 3

Author(s):

Florin Pop

Keyword(s):

Monte Carlo ◽

Big Data ◽

Numerical Methods ◽

High Performance ◽

Data Science ◽

Experimental Validation ◽

High Energy Physics ◽

High Energy ◽

Performance Computing ◽

Energy Physics

Modern physics is based on both theoretical analysis and experimental validation. Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models. Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization. High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. This paper presents existing computational methods for high energy physics (HEP) analyzed from two perspectives: numerical methods and high performance computing. The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities.

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Computational and experimental validation of free radical scavenging properties of high‐performance thin‐layer chromatography quantified phenyl myristate in Homalium nepalense

Journal of Separation Science ◽

10.1002/jssc.201901178 ◽

2020 ◽

Vol 43 (8) ◽

pp. 1566-1575

Author(s):

Satish Kanhar ◽

Partha Pratim Roy ◽

Atish Kumar Sahoo

Keyword(s):

Free Radical ◽

Thin Layer ◽

Thin Layer Chromatography ◽

High Performance ◽

Experimental Validation ◽

Radical Scavenging ◽

Free Radical Scavenging ◽

Radical Scavenging Properties ◽

Layer Chromatography

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A hybrid model of magnetorheological dampers based on generalized hysteretic biviscous operators

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x18781051 ◽

2018 ◽

Vol 29 (14) ◽

pp. 2979-2985 ◽

Cited By ~ 5

Author(s):

Xinlong Zhao ◽

Shuangjiang Wu ◽

Haipeng Pan

Keyword(s):

Particle Swarm Optimization ◽

Hybrid Model ◽

High Performance ◽

Parametric Models ◽

Magnetorheological Damper ◽

Magnetorheological Dampers ◽

Swarm Optimization ◽

Vibration Mitigation ◽

Modified Particle Swarm Optimization ◽

Control Devices

Magnetorheological dampers are promising vibration control devices that are widely used for vibration mitigation applications. However, due to the inherent hysteresis of magnetorheological dampers, achieving high performance is a challenging issue because it requires the development of models that can accurately describe the unique characteristics of this hysteresis. In this article, first, a generalized hysteretic biviscous operator is proposed to roughly describe the hysteretic property. Then, the superposition of the weighted generalized hysteretic biviscous operators is performed to model the magnetorheological damper, and modified particle swarm optimization is utilized to regulate the weights. This methodology provides the hybrid model with the advantages of both parametric and non-parametric models. Moreover, the model has a rather simple architecture and can be easily determined. The experimental results demonstrate the feasibility of the proposed method.

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Numerical Simulation and Experimental Validation of the Cladding Material Distribution of Hybrid Semi-Finished Products Produced by Deposition Welding and Cross-Wedge Rolling

Metals ◽

10.3390/met10101336 ◽

2020 ◽

Vol 10 (10) ◽

pp. 1336

Author(s):

Jens Kruse ◽

Maximilian Mildebrath ◽

Laura Budde ◽

Timm Coors ◽

Mohamad Yusuf Faqiri ◽

...

Keyword(s):

High Performance ◽

Experimental Validation ◽

Ball Bearing ◽

Major Influence ◽

Cross Wedge Rolling ◽

Element Analysis ◽

Welding Seam ◽

Rolling Contacts ◽

Tailored Forming ◽

Cladding Material

The service life of rolling contacts is dependent on many factors. The choice of materials in particular has a major influence on when, for example, a ball bearing may fail. Within an exemplary process chain for the production of hybrid high-performance components through tailored forming, hybrid solid components made of at least two different steel alloys are investigated. The aim is to create parts that have improved properties compared to monolithic parts of the same geometry. In order to achieve this, several materials are joined prior to a forming operation. In this work, hybrid shafts created by either plasma (PTA) or laser metal deposition (LMD-W) welding are formed via cross-wedge rolling (CWR) to investigate the resulting thickness of the material deposited in the area of the bearing seat. Additionally, finite element analysis (FEA) simulations of the CWR process are compared with experimental CWR results to validate the coating thickness estimation done via simulation. This allows for more accurate predictions of the cladding material geometry after CWR, and the desired welding seam geometry can be selected by calculating the cladding thickness via CWR simulation.

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