Galerkin finite element method for incompressible thermofluid flows framed within the bond graph theory

Baliño, Jorge Luis

doi:10.1016/j.simpat.2007.11.002

Cited by 13 publications

(6 citation statements)

References 3 publications

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“…In [3], the sequential causal assignment procedure described in [11] was applied. Sources are chosen first, the required causality is assigned and the causal implications are extended through the graph as far as possible, using the constraint elements (in this case 0-junctions, 1-junctions and modulated resistances).…”

Section: Causality Assignmentmentioning

confidence: 99%

“…In [1] a theoretical development of a general BG approach for CFD was presented. Density, entropy per unit volume and velocity were used as discretized variables for Abstract In this paper, a bond graph methodology described in a previous contribution by Baliño 3) is used to model incompressible one-dimensional pipe flows with rigid walls. As the volumetric flow is independent of position, the balance equation corresponding to the inertial port can be simplified and readily integrated.…”

Section: Introductionmentioning

confidence: 99%

“…In [3] the methodology was applied to model multidimensional incompressible flows. The distinctive characteristic of these flows is the role of pressure, which does not behave as a state variable, but as a function that ensures that the resulting velocity field has divergence zero.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

True bond graph formulation for one-dimensional incompressible pipe flows: modeling and analytical benchmarks

Baliño

Pellegrini

2016

J Braz. Soc. Mech. Sci. Eng.

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Section: Causality Assignmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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True bond graph formulation for one-dimensional incompressible pipe flows: modeling and analytical benchmarks

Baliño

Pellegrini

2016

J Braz. Soc. Mech. Sci. Eng.

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“…For instance, reference [3] is about modeling of analogue circuits, reference [4] is about modeling of hydraulic system, references [5][6] are about the pseudo bond graph models of thermal system, references [7][8] introduce some bond graph modeling examples of thermal systems and references [9][10] are about the application of bond graph modeling method in multiple energy domains. All the above studies have illustrated that the bond graph modeling method is a very effective modeling tool.…”

Section: Introductionmentioning

confidence: 99%

A concise modeling methodology and its application in thermal system

Lu¹,

Chen²,

Zhang³

2015

Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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Abstract-The paper presents an interesting method for the derivation of transfer function from passive RCLnetworks (Resistance, Capacitance and Inductance) with a ladder structure. In this paper, circuit network modeling methodology is extended into thermal system. In order to apply directly the methodology to thermal system, firstly pseudo bond graph method, as an intermediary, is utilized to depict the model of thermal system, secondly the model is transformed into its equivalent circuit diagram, finally according to the methodology, the mathematical model in format of transfer function of thermal system can be rapidly obtained by observing circuit diagram alone. Through a modeling example of heat transfer in building envelope wall, it has been verified that the mathematical models obtained by circuit network modeling methodology and pseudo bond graph method are identical, but this methodology has the advantages of simplicity, convenience, rapidness and intuitiveness in manual derivation of transfer function of thermal system.

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“…A practical alternative to the classical modeling is the bond graph method, introduced by Paynter in 1961, and further developed in [ 4 ]. In the last period, there have been a lot of works on the subject of the theory and application of bond graphs for different kind of systems, such as electrical [ 5 ], mechanical, hydraulic, thermal, and chemical [ 6 – 8 ]. This method provides a uniform manner to describe the dynamical behavior for all types of physical systems.…”

Section: Introductionmentioning

confidence: 99%

Enzymatic Synthesis of Ampicillin: Nonlinear Modeling, Kinetics Estimation, and Adaptive Control

Roman

Selişteanu

2012

Journal of Biomedicine and Biotechnology

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Nowadays, the use of advanced control strategies in biotechnology is quite low. A main reason is the lack of quality of the data, and the fact that more sophisticated control strategies must be based on a model of the dynamics of bioprocesses. The nonlinearity of the bioprocesses and the absence of cheap and reliable instrumentation require an enhanced modeling effort and identification strategies for the kinetics. The present work approaches modeling and control strategies for the enzymatic synthesis of ampicillin that is carried out inside a fed-batch bioreactor. First, a nonlinear dynamical model of this bioprocess is obtained by using a novel modeling procedure for biotechnology: the bond graph methodology. Second, a high gain observer is designed for the estimation of the imprecisely known kinetics of the synthesis process. Third, by combining an exact linearizing control law with the on-line estimation kinetics algorithm, a nonlinear adaptive control law is designed. The case study discussed shows that a nonlinear feedback control strategy applied to the ampicillin synthesis bioprocess can cope with disturbances, noisy measurements, and parametric uncertainties. Numerical simulations performed with MATLAB environment are included in order to test the behavior and the performances of the proposed estimation and control strategies.

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Galerkin finite element method for incompressible thermofluid flows framed within the bond graph theory

Cited by 13 publications

References 3 publications

True bond graph formulation for one-dimensional incompressible pipe flows: modeling and analytical benchmarks

True bond graph formulation for one-dimensional incompressible pipe flows: modeling and analytical benchmarks

A concise modeling methodology and its application in thermal system

Enzymatic Synthesis of Ampicillin: Nonlinear Modeling, Kinetics Estimation, and Adaptive Control

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