Integrating Multibody Simulations With SysML

2015 ◽  
Author(s):  
Johannes Gross ◽  
Rudranarayan Mukherjee
Keyword(s):  
Simulation Models ◽  
System Model ◽  
System Level ◽  
Modeling Language ◽  
Combine System ◽  
Physics Simulation ◽  
Import And Export ◽  
Definition Of ◽  
Multi Body ◽  
And Behavior

In this paper we will show an integration of a JPL-internal multi body simulation tool within the Systems Modeling Language (SysML) tool MagicDraw. The SysML provides the means to model requirements, functions, structure and behavior of a system. Integrating a multi body physics simulation with this language creates a seamless way to combine system level questions with the detailed design. The integration allows for the import and export of the simulation models as well as the definition of metrics on the simulation. The system model can be used to express the requirements, the tests that verify the satisfaction and the implementation of the system according to these requirements. Having all the different aspects in one central model reduces the thread of inconsistencies through reuse and linking of model elements. The SysML model allows for an easier creation of large models and the integration with other disciplines is already prepared.

A Model for Capturing Product Assembly Information

2005 ◽  
Vol 6 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Sudarsan Rachuri ◽  
Young-Hyun Han ◽  
Sebti Foufou ◽  
Shaw C. Feng ◽  
Utpal Roy ◽  
...  
Keyword(s):  
System Level ◽  
Assembly Model ◽  
Product Model ◽  
Collaborative Environment ◽  
Mechanical Assemblies ◽  
Proposed Model ◽  
Electromechanical Products ◽  
Definition Of ◽  
And Behavior ◽  
Product Assembly

The important issue of mechanical assemblies has been a subject of intense research over the past several years. Most electromechanical products are assemblies of several components, for various technical as well as economic reasons. This paper provides an object-oriented definition of an assembly model called the Open Assembly Model (OAM) and defines an extension to the NIST Core Product Model (NIST-CPM). The assembly model represents the function, form, and behavior of the assembly and defines both a system level conceptual model and associated hierarchical relationships. The model provides a way for tolerance representation and propagation, kinematics representation, and engineering analysis at the system level. The assembly model is open so as to enable plug-and-play with various applications, such as analysis (FEM, tolerance, assembly), process planning, and virtual assembly (using VR techniques). With the advent of the Internet more and more products are designed and manufactured globally in a distributed and collaborative environment. The class structure defined in OAM can be used by designers to collaborate in such an environment. The proposed model includes both assembly as a concept and assembly as a data structure. For the latter it uses STEP. The OAM together with CPM can be used to capture the assembly evolution from the conceptual to the detailed design stages. It is expected that the proposed OAM will enhance the assembly information content in the STEP standard. A case study example is discussed to explain the Usecase analysis of the assembly model.

An Integrated Framework to Simulate SysML Models Using DEVS Simulators

2013 ◽  
pp. 305-332
Author(s):  
G.-D. Kapos ◽  
V. Dalakas ◽  
M. Nikolaidou ◽  
D. Anagnostopoulos
Keyword(s):  
System Development ◽  
System Simulation ◽  
Simulation Models ◽  
System Model ◽  
Modeling Language ◽  
Development Life Cycle ◽  
Engineering Activity ◽  
Meta Modeling ◽  
Open Standards ◽  
Models Validation

System models validation is an important engineering activity of the system development life-cycle, usually performed via simulation. However, usability and effectiveness of many validation approaches are hindered by the fact that system simulation is not performed using a system model described by a standardized modeling language as SysML. This requires system simulation models to be recreated from scratch, burdening the engineer and introducing inconsistencies between system and validation models. In this chapter, the authors present how system engineers may effectively perform SysML system model validation utilizing the original SysML model and standards-based simulated related extensions. This is achieved by a framework that exploits MDA concepts and techniques, such as profiling, meta-modeling, and formal transformations. This way an open, standards-based, customizable approach for SysML models validation using DEVS simulators is formed. A simple battle system is used as an example throughout the chapter to facilitate the presentation of the proposed approach.

scholarly journals Towards Holistic System Models Including Domain-Specific Simulation Models Based on SysML

Systems ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 76
Author(s):  
Yizhe Zhang ◽  
Gregor Hoepfner ◽  
Joerg Berroth ◽  
Gerwin Pasch ◽  
Georg Jacobs
Keyword(s):  
Systems Engineering ◽  
System Modeling ◽  
Simulation Models ◽  
System Level ◽  
Modeling Language ◽  
Major Drawback ◽  
System Models ◽  
Domain Specific ◽  
Modeling Approach ◽  
Architecture Modeling

In the face of the rapid growth in the scale and complexity of multidisciplinary systems, being able to develop reliable systems under ever-faster changing and more individual market requirements is becoming more and more challenging. The Model-Based Systems Engineering (MBSE) approach has already been researched heavily, and started to be introduced for the management of complexity, maintaining consistency, and reducing development costs and the time-to-market. However, a major drawback of the current MBSE methodologies is the lack of capability to integrate with domain-specific simulation models to investigate design concepts in the early phases of the development process. In order to address this issue, we propose a holistic system modeling approach that allows system engineers to link descriptive system models with domain-specific simulation models. In this paper, the Systems Modeling Language (SysML) is used as the standard architecture modeling language. A system modeling approach in SysML based on the system’s functional architecture for system design and validation is defined. The approach was developed to integrate domain-specific models into the system model using a SysML modeler with the capability of running and reusing simulation tasks via the coupling of external tools, which helps to bridge the existing gap between models on the system level and detail level. The feasibility of the proposed approach will be evaluated based on the case study of a wind turbine (WT) system. The study shows that our approach has the potential to enable the consistent, parameter-based interlinkage of domain-specific models based on always-up-to-date data, and to assist engineers in making design decisions to meet the system requirements accurately and rapidly in different engineering fields.

Minority Presidents in a Coalitional World

2018 ◽  
Author(s):  
Paul Chaisty ◽  
Nic Cheeseman ◽  
Timothy J. Power
Keyword(s):  
Coalition Formation ◽  
Cost Minimization ◽  
Analytical Framework ◽  
System Level ◽  
Current State ◽  
Key Concepts ◽  
Definition Of

This chapter summarizes the main parameters of coalitional presidentialism and the key concepts, definitions, explanatory frameworks, indicators, and propositions. It summarizes our understanding of coalitional presidentialism; the distinction between coalition formation and maintenance; the definition of coalitions; the multidimensional understanding of coalition management (the ‘presidential toolbox’); and an analytical framework that emphasizes the motivation of presidents to achieve cost minimization under constraints determined by system-level, coalition-level, and conjunctural factors. It also summarizes our main empirical findings: (1) the characteristics of presidential tools, (2) the substantive patterns of their deployment, (3) the factors that shape the costs of using these tools, (4) the actual (observed) costs of using them, and (5) the potential for imperfect substitutability of these tools. Finally, it concludes with some reflections on the current state of the research on comparative presidentialism.

Modeling of a Direct Carbon Fuel Cell System

2010 ◽  
Vol 7 (5) ◽  
Author(s):  
K. Hemmes ◽  
M. Houwing ◽  
N. Woudstra
Keyword(s):  
Fuel Cells ◽  
Solid Oxide Fuel Cells ◽  
Exergy Analysis ◽  
Cell System ◽  
System Model ◽  
System Level ◽  
Molten Carbonate ◽  
Bench Scale ◽  
Direct Carbon Fuel Cell ◽  
Molten Carbonate Fuel Cells

Direct carbon fuel cells (DCFCs) have great thermodynamic advantages over other high temperature fuel cells such as molten carbonate fuel cells (MCFCs) and solid oxide fuel cells. They can have 100% fuel utilization, no Nernst loss (at the anode), and the CO2 produced at the anode is not mixed with other gases and is ready for re-use or sequestration. So far, only studies have been reported on cell development. In this paper, we study the performance of a CO2-producing DCFC system model. The theoretically predicted advantages that are confirmed on a bench scale are also confirmed on a system level, except for the production of pure CO2. Net system efficiencies of around 78% were found for the developed system. An exergy analysis of the system shows where the losses in the system occur. If the cathode of the DCFC must be operated as a standard MCFC cathode, the required CO2 at the cathode is the reason why a large part of the pure CO2 from the anode is recycled and mixed with the incoming air and cannot be used directly for sequestration. Bench scale studies should be performed to test the minimum amount of CO2 needed at the cathode. This might be lower than in a standard MCFC operation due to the pure CO2 at the anode side that enhances diffusion toward the cathode.

Towards Automated Evaluation of Vehicle Dynamics in System-Level Designs

2012 ◽  
Author(s):  
Zsolt Lattmann ◽  
Adam Nagel ◽  
Jason Scott ◽  
Kevin Smyth ◽  
Chris vanBuskirk ◽  
...  
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Test Bench ◽  
Simulation Models ◽  
Mobility Model ◽  
System Level ◽  
Bond Graphs ◽  
Automated Evaluation ◽  
Design Alternatives ◽  
Automatic Composition

We describe the use of the Cyber-Physical Modeling Language (CyPhyML) to support trade studies and integration activities in system-level vehicle designs. CyPhyML captures parameterized component behavior using acausal models (i.e. hybrid bond graphs and Modelica) to enable automatic composition and synthesis of simulation models for significant vehicle subsystems. Generated simulations allow us to compare performance between different design alternatives. System behavior and evaluation are specified independently from specifications for design-space alternatives. Test bench models in CyPhyML are given in terms of generic assemblies over the entire design space, so performance can be evaluated for any selected design instance once automated design space exploration is complete. Generated Simulink models are also integrated into a mobility model for interactive 3-D simulation.

Hider: A Methodology for Early-Stage Exploration of Design Space

1996 ◽  
Author(s):  
Sudhakar Y. Reddy
Keyword(s):  
Design Space ◽  
Optimization Problems ◽  
Early Stage ◽  
Simulation Models ◽  
Design Tool ◽  
System Level ◽  
Complex Simulation ◽  
Machine Learning Approach ◽  
Detailed Simulation ◽  
And Performance

Abstract This paper describes HIDER, a methodology that enables detailed simulation models to be used during the early stages of system design. HIDER uses a machine learning approach to form abstract models from the detailed models. The abstract models are used for multiple-objective optimization to obtain sets of non-dominated designs. The tradeoffs between design and performance attributes in the non-dominated sets are used to interactively refine the design space. A prototype design tool has been developed to assist the designer in easily forming abstract models, flexibly defining optimization problems, and interactively exploring and refining the design space. To demonstrate the practical applicability of this approach, the paper presents results from the application of HIDER to the system-level design of a wheel loader. In this demonstration, complex simulation models for cycle time evaluation and stability analysis are used together for early-stage exploration of design space.

Implementation of a Fuel Cell System Model Into Building Energy Simulation Software IDA-ICE

2006 ◽  
Vol 4 (4) ◽  
pp. 511-515 ◽  
Author(s):  
Teemu Vesanen ◽  
Krzysztof Klobut ◽  
Jari Shemeikka
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Building Energy ◽  
Cell System ◽  
System Model ◽  
System Level ◽  
Fuel Cell System ◽  
Cell Systems ◽  
Level Model ◽  
System Level Model

Due to constantly increasing electricity consumption, networks are becoming overloaded and unstable. Decentralization of power generation using small-scale local cogeneration plants becomes an interesting option to improve economy and energy reliability of buildings in terms of both electricity and heat. It is expected that stationary applications in buildings will be one of the most important fields for fuel cell systems. In northern countries, like Finland, efficient utilization of heat from fuel cells is feasible. Even though the development of some fuel cell systems has already progressed to a field trial stage, relatively little is known about the interaction of fuel cells with building energy systems during a dynamic operation. This issue could be addressed using simulation techniques, but there has been a lack of adequate simulation models. International cooperation under IEA/ECBCS/Annex 42 aims at filling this gap, and the study presented in this paper is part of this effort. Our objective was to provide the means for studying the interaction between a building and a fuel cell system by incorporating a realistic fuel cell model into a building energy simulation. A two-part model for a solid-oxide fuel cell system has been developed. One part is a simplified model of the fuel cell itself. The other part is a system level model, in which a control volume boundary is assumed around a fuel cell power module and the interior of it is regarded as a “black box.” The system level model has been developed based on a specification defined within Annex 42. The cell model (programed in a spreadsheet) provides a link between inputs and outputs of the black box in the system model. This approach allows easy modifications whenever needed. The system level model has been incorporated into the building simulation tool IDA-ICE (Indoor Climate and Energy) using the neutral model format language. The first phase of model implementation has been completed. In the next phase, model validation will continue. The final goal is to create a comprehensive but flexible model, which could serve as a reliable tool to simulate the operation of different fuel cell systems in different buildings.

Agents in bioinformatics

2005 ◽  
Vol 20 (2) ◽  
pp. 117-125 ◽  
Author(s):  
MICHAEL LUCK ◽  
EMANUELA MERELLI
Keyword(s):  
Data Analysis ◽  
Simulation Models ◽  
Biological Data ◽  
System Modelling ◽  
Agent Based Simulation ◽  
Huge Amount ◽  
Agent Based ◽  
Information Agents ◽  
New Knowledge ◽  
Definition Of

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarize and reflect on the presentations and discussions.

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