Bond-Graph Based Simulation of Thermodynamic Models

Author(s):  
Forbes T. Brown

Conventional bond graphs are incompetent to handle thermodynamic systems with flowing fluid and phase change, such as heat engines and refrigeration cycles. Sophisticated bond-graph software for purposes of simulation is widely available for the systems addressable by conventional bond graphs, but heretofore there was no bond-graph software that could simulate the thermodynamic systems of concern. The author has previously published descriptions of a compatible extension to conventional bond graphs, which accommodates these systems through the use of what are known as convection bonds. Simulation of these models required ad hoc writing of the differential equations, however, a difficult task. The present brief announces the availability of software, based on a combination of convection and conventional bond graphs, which considerably expedites the simulation of thermodynamic and hybrid systems. The software is written in MATLAB® and is freely downloadable from the internet. It allows modeling and simulation to be carried out with a minimum knowledge of thermodynamics. Data characterizing the thermodynamic properties of 35 different pure substances and wet air are accessed as needed.

1988 ◽  
Vol 110 (2) ◽  
pp. 182-188 ◽  
Author(s):  
J. J. Beaman ◽  
P. C. Breedveld

In this paper it is shown that open systems, in which matter can enter and leave, are not incompatible with bond graph topology, as commonly reported. Effective modeling of these systems requires that attention be paid to the convective coupling between systems and environment which exchange matter. The convection models proposed in this work do not require the use of active bonds (other than modulation signals), controlled sources, ad hoc elements, or any other special bond graph artifacts.


1978 ◽  
Vol 100 (3) ◽  
pp. 165-169 ◽  
Author(s):  
Dean Karnopp

Bond graphs have been shown to be useful in the modeling of a wide variety of physical dynamic systems, but open systems in which energy is transported across boundaries with mass flow have never been modeled as elegantly as fixed mass systems and their analogs. In this paper a bond graph, building block approach is outlined which allows most of the conceptual and practical advantages of normal bond graph techniques to be retained for systems in which thermal energy transported by a flowing fluid is important. Practical applications include the dynamic modeling of heating and cooling systems involving air and water. The method allows the imposition of a constant causal scheme independent upon the direction of fluid flow. The result is a pseudo bond graph since the use of temperature and heat flow as effort and flow means that the product of effort and flow is not power as in normal bond graphs.


SIMULATION ◽  
2018 ◽  
Vol 94 (9) ◽  
pp. 783-795 ◽  
Author(s):  
Noé Villa-Villaseñor ◽  
J Jesús Rico-Melgoza

A systematic method for constructing models in the complementarity framework from a bond graph is proposed. Bond graphs with and without storage elements in derivative causality are considered. The proposed method allows the study of switching systems represented by a bond graph model of fixed causality. The proposed methodology allows the complementarity framework to be exploited in different engineering areas by using bond graphs. The idea of representing a unidirectional switch with a model that is essentially the same as a diode is presented. By employing a similar representation for diodes and switches, the modeling and simulation of power switching converters are simplified and become more intuitive. Two application examples are shown. A non-inverting buck-boost converter and a zeta converter with an element in derivative causality are simulated.


Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Phuoc Duc Nguyen ◽  
Lok-won Kim

People nowadays are entering an era of rapid evolution due to the generation of massive amounts of data. Such information is produced with an enormous contribution from the use of billions of sensing devices equipped with in situ signal processing and communication capabilities which form wireless sensor networks (WSNs). As the number of small devices connected to the Internet is higher than 50 billion, the Internet of Things (IoT) devices focus on sensing accuracy, communication efficiency, and low power consumption because IoT device deployment is mainly for correct information acquisition, remote node accessing, and longer-term operation with lower battery changing requirements. Thus, recently, there have been rich activities for original research in these domains. Various sensors used by processing devices can be heterogeneous or homogeneous. Since the devices are primarily expected to operate independently in an autonomous manner, the abilities of connection, communication, and ambient energy scavenging play significant roles, especially in a large-scale deployment. This paper classifies wireless sensor nodes into two major categories based the types of the sensor array (heterogeneous/homogeneous). It also emphasizes on the utilization of ad hoc networking and energy harvesting mechanisms as a fundamental cornerstone to building a self-governing, sustainable, and perpetually-operated sensor system. We review systems representative of each category and depict trends in system development.


2011 ◽  
Vol 2 (1) ◽  
pp. 58-79 ◽  
Author(s):  
Jin Liu

This paper examines the emergence of the representation of dialect with Chinese characters (fangyan wenzihua) on the Internet. The online dialect writing is primarily identified as a subject of Internet language and youth language study. The CMC discourse as a hybrid register mixing spoken and written language features facilitates the written use of oral dialect on the Internet. Deviating from the standard Chinese writing system, the Internet-savvy youth transcribe their native dialects on an ad hoc basis, which celebrates multiplicity, creativity, individuality and resists uniformity, standardization, and institutionalization. Taking the SHN website (www.shanghaining.com) as a case study, the paper discusses how the written Shanghai Wu words are explored to mark a distinct visual style and to articulate a distinct local youth identity. Furthermore, this paper examines the dominant strategy of phonetic borrowing in dialect transcription on the Internet. It is argued that diachronically, the youth’s phonocentric obsession tapped into the May Fourth tradition of the baihua vernacular movement that was heavily influenced by the European logocentrism; and synchronically, the celebration of dialect sound on the Internet echoes the contemporary soundscape of local dialects formed in the mass media in recent years.


1975 ◽  
Vol 97 (2) ◽  
pp. 184-188 ◽  
Author(s):  
A. S. Perelson

The lack of arbitrariness in the choice of bond graph sign conventions is established. It is shown that an unoriented bond graph may have no unique meaning and that with certain choices of orientation a bond graph may not correspond to any lumped parameter system constructed from the same set of elements. Network interpretations of these two facts are given. Defining a bond graph as an oriented object leads to the consideration of equivalence classes of oriented bond graphs which represent the same system. It is also shown that only changes in the orientation of bonds connecting 0-junctions and 1-junctions can lead to changes in the observable properties of a bond graph model.


2021 ◽  
Author(s):  
Peter Cudmore ◽  
Michael Pan ◽  
Peter J. Gawthrop ◽  
Edmund J. Crampin

AbstractLike all physical systems, biological systems are constrained by the laws of physics. However, mathematical models of biochemistry frequently neglect the conservation of energy, leading to unrealistic behaviour. Energy-based models that are consistent with conservation of mass, charge and energy have the potential to aid the understanding of complex interactions between biological components, and are becoming easier to develop with recent advances in experimental measurements and databases. In this paper, we motivate the use of bond graphs (a modelling tool from engineering) for energy-based modelling and introduce, BondGraphTools, a Python library for constructing and analysing bond graph models. We use examples from biochemistry to illustrate how BondGraphTools can be used to automate model construction in systems biology while maintaining consistency with the laws of physics.


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