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Elsyca V-PIMS
A revolution in digital PIMS combining Pipeline Corrosion Integrity Management System (PIMS) and computational modeling capabilities
Elsyca IRIS
Deep analysis of AC threats and design and engineering of efficient mitigation systems
Elsyca CatPro
Graphical simulation platform for cathodic protection and DC stray current analysis of pipeline networks
Elsyca CPManager
3D CAD-based software simulation platform for the design and analysis of cathodic protection installations
Elsyca ACTA
Unique engineering service offering accurate, disambiguated, and tailored risk ranking report of pipeline networks
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Elsyca PlatingManager
Leverage a digital twin of your plating line to predict plating performance and increase manufacturing capacity
Elsyca CuBE
Avoid signal integrity problems during the design phase using an upfront, accurate and easy DFM test
Elsyca PCBBalance
The world’s only PCB DFM software that applies automated and optimized copper balancing to your PCB design and panel layout.
Elsyca PCBPlate
State-of-the-art graphical simulation platform for enhancing the plating performance of your PCB panel and pattern plating processes.
Elsyca ECoatMaster
CAD independent software platform for the simulation of the automotive electrocoating process of a body-in-white (BIW).
Elsyca EPOS
Simulate the performances of electropolishing processes based on a virtual mock-up of the electropolishing cell.
Elsyca AnodizingManager
State-of-the-art graphical simulation platform for analyzing the production performance and quality of anodizing processes.
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Elsyca CorrosionMaster
CorrosionMaster identifies corrosion hot spots and predicts corrosion rates, enabling engineers to look at alternative material combinations and/or coating systems, or investigate corrosion-mitigating measures.
Elsyca LeakageMaster
Improve vehicles interior acoustic comfort by performing upfront virtual smoke tests.
Elsyca MeshingMaster
Automatically creates meshes for a variety of applications such as acoustics, CFD, thermal analysis, etc
Elsyca XPlorer
Interactive simulation results viewer for Finite Elements results

Work piece anodizing

For work piece anodising, Elsyca performed simulations to study the effect of both on the resulting oxide layer.

Work piece anodizing

It is generally known that the combined effect of the current density distribution and temperature control (heat removal through forced convection) will determine the oxide layer thickness and properties. For work piece anodising, Elsyca performed simulations to study the effect of both on the resulting oxide layer.

The geometry of the anodising cell under consideration in this example is given in the figure below. The work piece is positioned a-symmetrical in the flow channel.

In a first step, the fluid flow corresponding with a Reynolds number of 400 is computed. A potential difference of 18 V is imposed between the anode and cathodes to drive the anodizing reaction. The resulting potential, temperature (in the electrolyte and the work piece) and current density distributions are shown below.


From the simulations it is clear that the potential distribution is not influenced by the fluid flow. The temperature distribution however shows a clear temperature gradient in the work piece in the longitudinal direction (7 °C over 0.05 m). Due to the high thermal conductivity of aluminum and the reduced height of the work piece, there is no significant temperature difference between upper and lower side of the part.

The figures also show the developing temperature boundary layer along the work piece. Remark also the presence of two recirculation zones behind the work piece, leading to reduced cooling at the downstream side of the work piece.

In the figure below the current density and temperature profiles along the developed length of the work piece are shown. A non-central position of the work piece and the temperature effects make that the current density is far from ideal. Clearly the oxide layer thickness and properties will not be uniform.

In the second calculation the velocity of the fluid flow was decreased to reach Re = 80. The potential difference was kept at 18V. The temperature and current density distributions for this case are given below.

From these simulations it can be observed that, when the same potential has been applied, the global temperature at the work piece is much higher now, due to the reduce cooling of the lower flow. In addition to that, the current density is reduced so the efficiency of the anodising process is much lower. This illustrates the interaction between heat removal and obtained oxide layer for a given applied voltage. There is clearly an optimal energetic working condition.

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