Mobatec provides mathematical modelling and simulation services using its Mobatec Modeller software. Mobatec Modeller allows users to build complex models through a graphical interface without programming by writing equations that are solved automatically. It is useful for applications like design, optimization, and operator training in industries like chemical engineering. Mobatec Modeller handles large sets of equations and can be used for steady state or dynamic simulations.
The Functional Mockup Interface: FMI overview
Modelica: a very brief overview
A Real-World Example: Active Grill Shutter Controls
Vehicle Thermal Management with Modelica
Continuous Validation of System Requirements
- Intermediate results from ITEA3 MODRIO project
Iterative Controller Development Using Modelica
Conclusions
[OFW 14] Prediction of Flow Characteristics by Applying Machine Learning of S...Geon-Hong Kim
This is presented at OFW 14 (OpenFOAM Workshop) in 2019.
It demonstrates an idea to combine the ML to CFD.
A geometry is parameterized by employing the cut-cell method of the IBM (Immersed Boundary Method) and it has been used as an input to the ML framework. CFD is conducted to predict the drag coefficient of an object and it is used as the target of the ML process.
The Functional Mockup Interface: FMI overview
Modelica: a very brief overview
A Real-World Example: Active Grill Shutter Controls
Vehicle Thermal Management with Modelica
Continuous Validation of System Requirements
- Intermediate results from ITEA3 MODRIO project
Iterative Controller Development Using Modelica
Conclusions
[OFW 14] Prediction of Flow Characteristics by Applying Machine Learning of S...Geon-Hong Kim
This is presented at OFW 14 (OpenFOAM Workshop) in 2019.
It demonstrates an idea to combine the ML to CFD.
A geometry is parameterized by employing the cut-cell method of the IBM (Immersed Boundary Method) and it has been used as an input to the ML framework. CFD is conducted to predict the drag coefficient of an object and it is used as the target of the ML process.
Using Modelica and FMI to evaluate requirements compliance early in system d...Modelon
AGENDA
- The Functional Mockup Interface: FMI
- A Real-World Example: Active Grill Shutter Controls
- Vehicle Thermal Management with Modelica
- Continuous Validation of System Requirements
- Intermediate results from ITEA3 MODRIO project
- Iterative Controller Development Using Rational Rhapsody & Dymola
- Conclusions
Summer Training 2015 at Alternate Hydro Energy CenterKhusro Kamaluddin
This is the presentation i gave to "Defend" my Summer Training at AHEC IIT Roorkee During Summer 2015. I gave this presentation in my college during my final year. Indeed the most lengthy i ever gave .
FEATool Multiphysics Matlab FEM and CFD Toolbox - v1.6 Quickstart GuideFEATool Multiphysics
FEATool Multiphysics v1.6 Quickstart Guide
FEATool Multiphysics is a fully integrated and easy to use Matlab Multiphysics PDE and FEM Finite Element Analysis simulation toolbox, featuring built-in support for heat transfer, computational fluid dynamics CFD, chemical and reaction engineering, and structural mechanics modeling and simulation.
Visit https://www.featool.com for more information.
The Powerpoint presentation discusses about the Introduction to CFD and its Applications in various fields as an Introductory topic for Mechanical Engg. Students in General.
IncQuery-D: Distributed Incremental Model Queries over the Cloud: Engineerin...Daniel Varro
In model-driven software engineering (MDE), model queries are core technologies of many tool and transformation-specific challenges such as design rule validation, model synchronization, view maintenance, simulation and many more. As software models are rapidly increasing in size and complexity, traditional MDE tools frequently face scalability issues that decrease productivity of engineers and increase development costs. Incremental graph queries offer a graph pattern based language for capturing queries. Furthermore, the result set of a query is cached and incrementally maintained upon model changes to provide instantaneous query response time. In this talk, first a brief overview is given on the EMF-IncQuery framework (which is an official Eclipse subproject). Then we discuss how to incorporate incremental queries over a distributed cloud infrastructure (to scale up from a single-node tool to a cluster of nodes) deployed over popular database back-ends (such as Cassandra. 4store, Neo4J, etc). We present our first benchmarking experiments with IncQuery-D to highlight that distributed incremental model queries can perform significantly better than the native query technologies of the underlying database back-end, especially, for complex queries.
Choosing the right process improvement tool for your project.
Learn how an experienced engineer decides when simulation is the right tool for his projects,
and when it isn't.
With the evolution of process improvement software, it can be difficult to decide the right tool for the job. Using something too powerful and complex can be a lengthy and unnecessary process, but underestimating the depth of analysis required and choosing something too simplistic early in a project can result in repeated work later.
From Model-based to Model and Simulation-based Systems ArchitecturesObeo
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...dbpublications
Multivariable systems exhibit complex dynamics because of the interactions between input variables and output variables. In this paper an approach to design auto tuned decentralized PI controller using ideal decoupler and adaptive techniques for controlling a class of multivariable process with a transmission zero. By using decoupler, the MIMO system is transformed into two SISO systems. The controller parameters were adjusted using the Model Reference Adaptive reference Control. In recent process industries, PID and MRAC are the two widely accepted control strategies, where PID is used at regulatory level control and MRAC at supervisory level control. In this project, LabVIEW is used to simulate the PID with Decoupler and MRAC separately and analyze their performance based on steady state error tracking and overshoot.
Using Modelica and FMI to evaluate requirements compliance early in system d...Modelon
AGENDA
- The Functional Mockup Interface: FMI
- A Real-World Example: Active Grill Shutter Controls
- Vehicle Thermal Management with Modelica
- Continuous Validation of System Requirements
- Intermediate results from ITEA3 MODRIO project
- Iterative Controller Development Using Rational Rhapsody & Dymola
- Conclusions
Summer Training 2015 at Alternate Hydro Energy CenterKhusro Kamaluddin
This is the presentation i gave to "Defend" my Summer Training at AHEC IIT Roorkee During Summer 2015. I gave this presentation in my college during my final year. Indeed the most lengthy i ever gave .
FEATool Multiphysics Matlab FEM and CFD Toolbox - v1.6 Quickstart GuideFEATool Multiphysics
FEATool Multiphysics v1.6 Quickstart Guide
FEATool Multiphysics is a fully integrated and easy to use Matlab Multiphysics PDE and FEM Finite Element Analysis simulation toolbox, featuring built-in support for heat transfer, computational fluid dynamics CFD, chemical and reaction engineering, and structural mechanics modeling and simulation.
Visit https://www.featool.com for more information.
The Powerpoint presentation discusses about the Introduction to CFD and its Applications in various fields as an Introductory topic for Mechanical Engg. Students in General.
IncQuery-D: Distributed Incremental Model Queries over the Cloud: Engineerin...Daniel Varro
In model-driven software engineering (MDE), model queries are core technologies of many tool and transformation-specific challenges such as design rule validation, model synchronization, view maintenance, simulation and many more. As software models are rapidly increasing in size and complexity, traditional MDE tools frequently face scalability issues that decrease productivity of engineers and increase development costs. Incremental graph queries offer a graph pattern based language for capturing queries. Furthermore, the result set of a query is cached and incrementally maintained upon model changes to provide instantaneous query response time. In this talk, first a brief overview is given on the EMF-IncQuery framework (which is an official Eclipse subproject). Then we discuss how to incorporate incremental queries over a distributed cloud infrastructure (to scale up from a single-node tool to a cluster of nodes) deployed over popular database back-ends (such as Cassandra. 4store, Neo4J, etc). We present our first benchmarking experiments with IncQuery-D to highlight that distributed incremental model queries can perform significantly better than the native query technologies of the underlying database back-end, especially, for complex queries.
Choosing the right process improvement tool for your project.
Learn how an experienced engineer decides when simulation is the right tool for his projects,
and when it isn't.
With the evolution of process improvement software, it can be difficult to decide the right tool for the job. Using something too powerful and complex can be a lengthy and unnecessary process, but underestimating the depth of analysis required and choosing something too simplistic early in a project can result in repeated work later.
From Model-based to Model and Simulation-based Systems ArchitecturesObeo
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...dbpublications
Multivariable systems exhibit complex dynamics because of the interactions between input variables and output variables. In this paper an approach to design auto tuned decentralized PI controller using ideal decoupler and adaptive techniques for controlling a class of multivariable process with a transmission zero. By using decoupler, the MIMO system is transformed into two SISO systems. The controller parameters were adjusted using the Model Reference Adaptive reference Control. In recent process industries, PID and MRAC are the two widely accepted control strategies, where PID is used at regulatory level control and MRAC at supervisory level control. In this project, LabVIEW is used to simulate the PID with Decoupler and MRAC separately and analyze their performance based on steady state error tracking and overshoot.
2. Mobatec ModellerMobatec Specialisation
Mathematical modelling of all kind of physical and/or chemical processes
Modelling activities for purpose of:
Knowledge base Chemical Engineering
Design Analysis Safety
Optimisation Control Real time
training simulation
3. Why Mobatec Modeller
• Increased complexity of models requires better tooling.
• Mobatec Modeller provides assistance in model buiding and reduces
“low-level” modelling errors.
• Increased model knowledge transfer and maintainability.
• Mobatec Modeller models are easy to understand, even without
having to “design and build” them.
Mobatec Modeller
• Use Mobatec to build your modelling infrastructure, get to know
your process and get the most out of it!
• A dynamic simulation will greatly shorten startup time and
significantly reduce the risk of maloperations.
• Mobatec simulations are easier to adapt, modify and integrate into
the process operator world.
• Models are built in up to 2-4 times shorter time and they cost less.
7. Mobatec provides:
Simulation tools & services
Real time operator training
Control systems testing
Mobatec Modeller Modelling consultancy
and assistance
Operator Training
Systems
Model building
Training
Education
State of the art
dynamic modelling
environment
Mobatec Modeller
8. Simulation tools & services
1. Advanced Modelling Platform
3. Expert Consulting Services
2. Models & Equations Libraries
Mobatec Model Care & Model Based Innovation Services
Library models & Equations from library
Mobatec Modeller
9. Mobatec expertise
Reactor Modelling
• Homogeneous systems
• Heterogeneous systems
Distillation (Reactive)
Stripping
Heat and Mass Transfer
• Vapour/Liquid interface
• Transfer from bulk fluid to particles
• Pore diffusion
• Adsorption on catalyst surface
• Multi-phase interactions
• Evaporation
Polymers
Crystallisation
Thermodynamics
Numerical Mathematics
Software Development of Modelling Tools
• Solver for large sets of differential and algebraic
equations
• Modelling Environment
• Parameter Estimation
• Data Reconciliation
Mobatec Modeller
11. Mobatec Modeller
Free Demo
The free demo-version of Mobatec Modeller includes Examples and
Learning Modules.
Go to www.mobatec.nl and download it for free!
12. Approaches towards Modelling
Flow-Sheeters:
Equation Oriented:
Black-box models
Low flexibility
Sequential calculation - Recycle problems
Good only for rough estimates
No knowledge on the models needed
White box models
High flexibility – low transparency
No Recycle problems
Knowledge on the models needed
Good for High-Fidelity simulations
Programming skills needed
Mobatec Modeller
13. The MM approach
Equation and System based
Mobatec Modeller
What is the
missing link ?
Equation Oriented
Flow Sheeter!
Mobatec Modeller
14. Mobatec Modeller is:
Equation and System
based White box models (knowledge of models needed)
Flexible high transparency
No Recycle problems
High-Fidelity simulations
Programming skills NOT needed
Assistance on Initialization
Assistance on “DOF”
Equations written (almost as on paper!) and added to
the systems by the user
Code generated by Mobatec Modeller (automatically)
Mobatec Modeller
16. Mobatec Modeller approach
Equation and system based
Dynamic or
Steady State
Mass & Energy balances
for free (generated by MM)
No programming needed
(MM generates the code)
High flexibility when
incorporating existing
user models
Assistance with
initialization
Equations physical
topology
Easy to understand
Library of
models & equations
Easy extendable libraries
for predefined units
Assistance with
DOF of systems
Mobatec Modeller
17. Mobatec Modeller approach
User’s perspective
Equation oriented flow-sheeter
Custom equation based modelling and “drag-&-drop”
flow-sheeting
No programing skills needed:
Mobatec Modeller generates the code by itself
Manual model initialization:
Ensures a good starting calculation point
Equation physical topology:
High model transparency and maintainability, making
any model very easy to understand
Mobatec Modeller
18. Mobatec Modeller solutions
Technology prospective
Differential & Algebraic Equation (DAEs) solution engine solves models with
hundreds of thousands of equations simultaneously
Modelling purposes
Design Analysis Safety
Optimisation Control Real time
training simulation
Mobatec Modeller
19. Contact us
Mobatec BV
Mobatec Modeller
Poelsnep 2
6026 BZ Maarheeze
The Netherlands
www.mobatec.nl
info@mobatec.nl
+31 (0)624771097
Interested in learning more?
