Circularly-Towed Lumped Mass Cable Model Validation from Experimental Data

The paper presents a dynamic model of a dual clutch lever-based electromechanical actuator. Bond graph modeling technique is used to describe the clutch actuator dynamics. The model is parameterized and thoroughly validated based on the experimental data collected by using a test rig. The model validation results are used for the purpose of analysis of the actuator behavior under typical operating modes.

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Coupled heat and mass transfer modelling in convective drying of biomass at particle-level: Model validation with experimental data

Renewable Energy ◽

10.1016/j.renene.2019.10.123 ◽

2020 ◽

Vol 149 ◽

pp. 1290-1299 ◽

Cited By ~ 2

Author(s):

Gabriele A. Nagata ◽

Thiago V. Costa ◽

Maisa T.B. Perazzini ◽

Hugo Perazzini

Keyword(s):

Experimental Data ◽

Mass Transfer ◽

Heat And Mass Transfer ◽

Model Validation ◽

Convective Drying ◽

Particle Level ◽

Level Model ◽

Transfer Modelling

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Assessment of pulsatile wall shear stress in compliant arteries: Numerical model, validation and experimental data

10.1109/iembs.2009.5333648 ◽

2009 ◽

Author(s):

F.P. Salvucci ◽

C.A. Perazzo ◽

J.G. Barra ◽

R.L. Armentano

Keyword(s):

Experimental Data ◽

Shear Stress ◽

Numerical Model ◽

Wall Shear Stress ◽

Model Validation ◽

Wall Shear

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A novel parabolic trough solar collector model – Validation with experimental data and comparison to Engineering Equation Solver (EES)

Energy Conversion and Management ◽

10.1016/j.enconman.2015.09.045 ◽

2015 ◽

Vol 106 ◽

pp. 268-281 ◽

Cited By ~ 83

Author(s):

Omar Behar ◽

Abdallah Khellaf ◽

Kamal Mohammedi

Keyword(s):

Experimental Data ◽

Model Validation ◽

Solar Collector ◽

Parabolic Trough ◽

Parabolic Trough Solar Collector

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A dispersion based model for anaerobic digestion of solid cattle wastes in a stratified thermophilic accumulation system

Water Science & Technology ◽

10.2166/wst.2005.0517 ◽

2005 ◽

Vol 52 (1-2) ◽

pp. 195-202 ◽

Cited By ~ 1

Author(s):

H.M. El-Mashad ◽

W.K.P. van Loon ◽

G. Zeeman ◽

G.P.A. Bot ◽

G. Lettinga

Keyword(s):

Experimental Data ◽

Anaerobic Digestion ◽

Aspect Ratio ◽

Dynamic Model ◽

Model Validation ◽

Methane Production ◽

System Performance ◽

Aspect Ratios ◽

Accumulation System ◽

Good Agreement

A dynamic model has been developed to describe the anaerobic digestion of solid cattle waste in an accumulation system (AC). To calibrate the model an experiment was carried out at a lab-scale AC at 50 °C. The predicted methane production shows a very good agreement (i.e. R2=0.998) with the experimental data. However less agreement is evident for the intermediates. After model validation the model was applied to study the effect of different aspect ratios on the system performance. An optimum aspect ratio of 2–3 could be determined.

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Thermal model validation of an electric-driven smart window through experimental data and evaluation of the impact on a case study

Building and Environment ◽

10.1016/j.buildenv.2020.107134 ◽

2020 ◽

Vol 181 ◽

pp. 107134 ◽

Cited By ~ 1

Author(s):

Giovanni Ciampi ◽

Michelangelo Scorpio ◽

Yorgos Spanodimitriou ◽

Antonio Rosato ◽

Sergio Sibilio

Keyword(s):

Experimental Data ◽

Model Validation ◽

Thermal Model ◽

Smart Window ◽

The Impact

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Parametric Study Based on a Phenomenological Model to Investigate the Effect of Post Fuel Injection on HDDI Diesel Engine Performance and Emissions-Model Validation Using Experimental Data

10.4271/2008-01-0641 ◽

2008 ◽

Cited By ~ 11

Author(s):

D. T. Hountalas ◽

V. T. Lamaris ◽

E. G. Pariotis ◽

H. Ofner

Keyword(s):

Experimental Data ◽

Diesel Engine ◽

Model Validation ◽

Phenomenological Model ◽

Parametric Study ◽

Fuel Injection ◽

Engine Performance ◽

Performance And Emissions ◽

Engine Performance And Emissions

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Model Validation: Model Parameter and Measurement Uncertainty

Journal of Heat Transfer ◽

10.1115/1.2164849 ◽

2005 ◽

Vol 128 (4) ◽

pp. 339-351 ◽

Cited By ~ 29

Author(s):

Richard G. Hills

Keyword(s):

Experimental Data ◽

Sensitivity Analysis ◽

Monte Carlo ◽

Monte Carlo Method ◽

Model Validation ◽

Full Range ◽

Correlated Data ◽

Model Parameter ◽

Test Models ◽

Model Parameter Uncertainty

Our increased dependence on complex models for engineering design, coupled with our decreased dependence on experimental observation, leads to the question: How does one know that a model is valid? As models become more complex (i.e., multiphysics models), the ability to test models over the full range of possible applications becomes more difficult. This difficulty is compounded by the uncertainty that is invariably present in the experimental data used to test the model; the uncertainties in the parameters that are incorporated into the model; and the uncertainties in the model structure itself. Here, the issues associated with model validation are discussed and methodology is presented to incorporate measurement and model parameter uncertainty in a metric for model validation through a weighted r2 norm. The methodology is based on first-order sensitivity analysis coupled with the use of statistical models for uncertainty. The result of this methodology is compared to results obtained from the more computationally expensive Monte Carlo method. The methodology was demonstrated for the nonlinear Burgers’ equation, the convective-dispersive equation, and for conduction heat transfer with contact resistance. Simulated experimental data was used for the first two cases, and true experimental data was used for the third. The results from the sensitivity analysis approach compared well with those for the Monte Carlo method. The results show that the metric presented can discriminate between valid and invalid models. The metric has the advantage that it can be applied to multivariate, correlated data.

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