CompuToolAble is capable to use valuable information from the cloud to develop models.


Here we demonstrate the use of the cloud for creating models

    CompuToolAble does not start from scratch. We are able to use valuable modeling information from the cloud, i.e. papers, reports, files, etc. published by dedicated scientists and engineers in specific domains.


CompuToolAble's model


Demonstration of using the Cloud

Seismic Vibration (scale [m])

Using papers and reports

From the paper of Michelis et al. (2012) we were able to reconstruct the 3D model in Comsol for simulating seismic vibration of a real (test) building. This demonstrates our ability to create computational tools from formulas, i.e. CompuToolAble. The movie (8 MB) shows the movement and induced stresses of the construction at an earth quake event of 20 seconds.

Microactuator control (scale [um])

Using models

CompuToolAble used the (mph)file of an existing Comsol model: Joule heating of a Microactuator to integrate it into SimuLink. The model itself is a fully coupled electric-heating-mechanical 3D problem. An on/off switch in SimuLink controls the voltage of the actuator. The (4 GB) movie shows the (scaled) movement and stresses of the actuator controlled by SimuLink.

Solar collector performance (scale [Mm])

Using (large) data sets

CompuToolAble used the (large) data sets of the recent past and future climate in Europe for a new application. The data sets include over 100 years of hourly based values of external climate parameters at 500 locations spread over Europe. We built a State-Space model of a solar collector and simulated the performance with local climates as input. The model was developed in Matlab from scratch. The movie shows the heat production [W] of the solar collector over Europe during 5 days.


Find out what's already available for your industry

    Look for your industry in the left column and click some papers at the right to see for yourself.




Inspirational CompuTools from the cloud

The Automotive Industry

Vijayakumar et al. (2011) primarily intended to design an accelerometer for air bag deployment applications in automobile industries. Loos et al. (2010) present a 3D-model for the simulation of safety fuses coupling the current flow caused by an electrical potential with the heat distribution. Shi et al. (2014) provide a CFD simulation of a honeycomb adsorption bed for an automotive cooling system. McDonald (2012) presents the simulation of a basic electric vehicle motor-drive system that is used to investigate power flow during both motoring and regeneration. Mathworks (1998) show the use of Simulink and Stateflow in Automotive Applications such as Engine Model, Anti-Lock Braking System, Clutch Engagement, Suspension System and Hydraulic Systems.

AgriFood Industry

Methlouthi et al. (2010) simulate the behavior of the electric field inside a microwave applicator with conveyor belt system. Kumar et al. (2012) simulate coupled heat and mass transfer during convective drying of fruit considering variable material properties. ElGamal et al. (2013) predict the convective heat and mass transfer coefficients in the rice bed , and correlations were developed for the convective heat and mass transfer coefficients as a function of drying air flow rate. Miettinen et al. (2007) simulates fault diagnostics with three agricultural implements , two drills and one sprayer. Guzmán et al. (2005) presents a virtual lab for teaching greenhouse climatic control.

Bio-Medical Technology

Talarico et al. (2014) provide a model, based on the physiological structure of the fingertip, to simulate the interaction between fingertip and a flat plate while in contact. Jimenez-Lozano et al. (2012) present a mathematical model for selective non-invasive, non-ablative RF heating of cutaneous and subcutaneous tissue (with detailed fiber septa structures) including their thermo-elastic response. Anupma et al. (2009) study microwave interstitial tumor ablation, a new modality for treatment of liver cancer. Germann et al. (2012) are currently studying mechanistic models for the development of limbs, lungs, kidneys, and bone regarding organogenesis. NASIŁOWSKI et al (2014) simulated a finger exoskeleton using MATLAB/Simulink regarding a paralyzed and not fully functional part of human body that can be supported by the properly designed exoskeleton system with motoric abilities.

Built Environment

Bianchi Janetti et al. (2012) present a time-dependent wall model, consisting of several homogeneous domains regarding the simulation of heat and moisture transfer representing an essential resource in designing energy efficient buildings. Fernandes et al. (2014) provide a wind flow model of urban area surrounding a wind turbine. Crompton et al. (2010) simulated the acoustic responses of rooms, regarding the design, location and materials of the panels to be optimized to provide a room in which an even energy response occurs over the full audio spectrum. Gaal et al. (2014) created a model, using the transport data of Budapest, in which the effects of different production factors can be estimated and the public transport performance can be forecasted. Ahlman et al. (2012) provide a model for simulation of substance flows in urban sewer systems consisting of stormwater module, sanitary wastewater module and a wastewater treatment plant with nitrogen reduction.

Chemical Industry

Dixon et al. (2014) modeled packed bed reactors : hydrogen production by the steam reforming of methane and glycerol. Bogdanov et al. (2011) present direct pore-scale modeling of two-phase flow through natural media, a valuable tool for both fundamental porous medium and applied petroleum and environmental applications. Marcello et al. (2008) presents a preliminary analysis of the coupled thermo-hydrodynamics and neutronics of circulating nuclear fuel systems like the thermal Molten Salt Reactor (MSR), one of the "Generation IV International Forum" concepts. Cultura et al. (2014) show a dynamic mathematical model of a proton exchange membrane (PEM) fuel cell. Peacock (2002) developed a library of model blocks describing sugar industry operations, focusing on the diffuser extraction and boiling house operations.

Consumer Electronics

Garcia-Polanco et al. (2013) present a Multiphysics approach of the performance of a domestic oven. Maaspuro et al. (2012) investigated an experimental LED light composed of a multi-chip LED module, a LED driver and an efficient heatsink. Zeineldin (2008) modeled the Process of Drying Stationary Objects inside a Tumble Dryer. Bahani et al. (2013) simulated new types of HV power supply with several magnetrons. Bolat (2007) modeled the real time temperature control of ovens using different kinds of auto-tuning PID (Proportional-Integral-Derivative) method

Design and Creative Industry

Bisceglia et al. (2013) present a theoretical model describing the transport phenomena involved in food cooking. Jaisree Meenaa Pria et al. (2013) simulate of cantilever based sensors for smart textile , emerging as a new area of exploration by the healthcare industry. Kou et al. (2011) provide a data driven process for estimating nonlinear materials used for 3D printing. Frydrysiak et al. (2007) present a mathematical description and model of textronic clothing with textile heater. This kind of textile composite can be used in special outfits or casual clothing. Balderud et al. (2002) provide an application of predictive control to a toy helicopter.


Elbahr et al. (2014) present a model for energy harvesting from environmental vibration nowadays is feasible because of natural oscillations like that caused by air or liquid flow and by exhalation or the heartbeat of a human body. Fontenault et al. (2012) simulate a PV/T panel consisting of monocrystalline silicon PV cells that were bound with a silicone thermal paste to an aluminum reservoir through which coolant water flowed. Siegel et al. (2010) study the possibility of using COMSOL Multiphysics® for solving large scale fuel cell stack models Neuman (2011) developed power plant and boiler models for operator training simulators. Bogaraj et al. (2012) developed of MatLab/SimuLink models for PV and wind systems and review on control strategies for hybrid energy systems.

Instruments and Sensor Technology

Mishra et al. (2015) present a sensitivity analysis of MEMS based piezoresistive sensor using Comsol Multiphysics. Mohamad et al. (2012) provide a model for portable electrical capacitance tomography system using simulation by Comsol Multiphysics. Selvin et al. (2011) investigate the design and performance of a piezoresistive surface micromachined circular diaphragm based pressure sensor utilizing Single walled Carbon nanotubes (SWNT). Odon (2010) modelled and simulated a pyroelectric detector using MatLab/SimuLink. Grigorie et al. (2014) provide a MatLab/SimuLink based model of a strap-down inertial navigation system regarding errors due to the inertial sensors.

Mechatronics Industry

Schlanbusch et al.(2014) present the design and validation of a MEMS thermal micro actuator using SOI technology. Routley et al. (2014) two- and three-dimensional optical simulations for determining optimal conditions for near-field scanning optical lithography. Pilat (2011) present a study on automatic rotor construction for the levitated flywheel energy storage system dedicated to operate in the levitation mode. Rone et al. (2011) describe the analysis of a novel microdroplet generator’s integrated sensing capability using finite element simulation. Mihalache et al. (2011) simulated a stepper motor with variable reluctance by MatLab-Simulink

Metallurgical and High-tech Material Industry

Schlanbusch et al. (2014) investigated the electrical scale-up of a generic metallurgical process for primary metal production. van den Ende et al. (2013) simulated the stress distribution in ultra-thin chips at very high curvatures is evaluated, using a modified fourpoint bending method. Radice et al. (2012) have developed a working model for the evolution of a laser induced hole in an isotropic polymeric material. Kumar et al. (2013) evaluates the performance of cascaded PID controller designs for the temperature control of an industrial heating furnace. Goj et al. (2012) present the design of a biaxial nanoprobe which operates in semi-contact mode due to resonant motion in two dimensions.

Packaging Industry

Castellano et al. (2012) study an innovative technology regarding water bottling using PET for reduction of the packaging costs and more environmental sustainability. Fournier et al. (2014) simulate thermomechanical effects of the packaging molding process on the chip in integrated circuits. Barrios et al. (2013) present a model for predicting oxygen, carbon dioxide and temperature evolution inside modified atmosphere packages of strawberries during storage in fluctuating temperature conditions. Calangi (2014) investigates the design of a control system for packing the 6-bar 24-cable tensegrity ball bot. Mystkowski et al. (2014) presents a PLC-based robust monitoring model for the labelling machine, which reduces waste of labels and bottles and optimizes the algorithm for recognizing defective labels

Water Technology

Whitmore et al. (2012) present a Comsol model for groundwater flow and contaminant transport in two-dimensional geometries with heterogeneities. Jeng et al. (2010) provide an integrated model for ocean waves propagating over a submerged coastal structure, based on Comsol Multiphysics. Gunasekaran et al. (2012) simulate an activated sludge granule falling in water using COMSOL Multiphysics with free flow and the sludge motion. Ani et al. (2015) developed a numerical and an analytical model in order to predict the transport of pollutants in the Romanian Somes River. Bowen et al. (2014) present a stormwater runoff model based on the Soil Conservation Service method and a water quality model for use in teaching and research.


Benilov et al. (2012) investigate why bubbles do sink in Guinness. Fanti et al. (2012) perform a numerical simulation of a human body subjected to electrostatic fields for study of the Turin shroud body image.


All documents on this page were freely accessible and downloadable during July 2015. CompuToolAble is not overseeing, involved with, or responsible for these files.


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