Experts in Simulation Engineering
We are a pioneer company in the application of CAE and simulation solutions in a variety of industries since 2003
Extensive experience in simulation engineering
Based on an extensive background of more than 15 years, we deliver leading advanced simulation, engineering and consultancy FEA/CFD services around heat transfer and process equipment, non-conventional structures, high temperature piping or ducts systems and a wide range of equipment and structures
Our value proposal
Manufacturing cost savings (Lean Manufacturing)
Design and optimization
Saving materials and reducing weights
Definition of lightweight materials
Definition of high-strength materials
Definition of high durability materials
Safety & Reliability
Structural integrity analysis
and / or overturn
anticipation of failures
Evaluation of the useful or remaining life
Fitness For Service FFS Analysis (Aptitude to Service)
Root cause analysis (failure detection and evaluation)
Location and identification of critical points
Fatigue analysis and Creep analysis.
Mechanical analysis of the fracture
Definition of plan of corrective measures
Predictive and corrective maintenance.
Simulation with digital models (Digital Twin)
Time to market
Development of parameterizable designs
Development of modular designs
Implementation of agile systems and optimization of design rework
Some of our solutions
Finite Elements analysis
The finite element method (FEM) is a numerical technique used to perform finite element analysis (FEA) of any given physical phenomenon.
It is necessary to use mathematics to comprehensively understand and quantify any physical phenomena, such as structural or fluid behavior, thermal transport, wave propagation, and the growth of biological cells. Most of these processes are described using partial differential equations (PDEs). However, for a computer to solve these PDEs, numerical techniques have been developed over the last few decades and one of the most prominent today is the finite element method.
- Thermal / Structural Transient Analysis
- Dynamic Analysis (modal, harmonic, spectral, PSD, explicit, (…)
- Non-Linear Analysis
- Life Assessment, fatigue, and Creep Analysis
- Fracture mechanics simulation
- CHT – Conjugated Heat Transfer Analysis
- Welding process simulation and PWHT analysis
- Composite, gasket, and other nonmetallic materials
- Topology Optimization
- MBD – Multibody Dynamics
- APDL Programming – Customized Analysis Tools
Computational Fluid Dynamics
Computational Fluid Dynamics (CFD) is one of the branches of fluid mechanics that uses numerical methods and algorithms to solve and analyze fluid flow problems.
Computers are used to perform millions of calculations required to simulate the interaction of liquids and gases with complex engineering projected surfaces. Even with simplified equations and high-performance supercomputers, only approximate results can be achieved in many cases.
Continuous research, however, allows the incorporation of software that increases the calculation speed as well as decreases the margin of error, while allowing the analysis of increasingly complex situations such as transonic fluids and turbulent flows. The verification of the data obtained by CFD is usually carried out in wind tunnels or other physical scale models.
- Multi-phase Flows
- FSI – Flow-Structure Interaction
- Heat Transfer and Radiation
- Internal Flows Behavior
- Turbulence Modeling
Conjugated Heat Transfer
The Conjugate Heat Transfer (CHT) analysis type allows for the simulation of heat transfer between solid and fluid domains by exchanging thermal energy at the interfaces between them. Typical applications of this analysis type exist as, but are not limited to, the simulation of heat exchangers, cooling of electronic equipment, and general-purpose cooling and heating systems.
The CHT approach has an advantage over FE thermal analyses in that wall heat transfer coefficients and their local variations on surfaces are directly calculated within the model rather than based on simplified empirical calculations. The CHT approach therefore has benefits for those applications where heat transfer is either non-uniform or difficult to calculate empirically.
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