FEA models for optimising a rolling process

FEA models for optimising a rolling process

This blog will cover some of the computer based methods we use to get the most out of aluminium rolling and finishing processes.  Using computer models, such as Finite Element Analysis (FEA) models, increases understanding and reduces the number of online trials. As a result, they reduce the cost of process optimisation. It’s true to say that FEA models are a significant part of our ‘tool box’.

FEA models to predict alligatoring

FEA models of rolling

Figure 1. The ingot (green) at the start of the simulation with the normal work roll (light blue), centre plane of symmetry (dark blue) and edge roll (orange).

alligatoring

Figure 2. An alligator on the end of an ingot.

We use FEA models of rolling mills, such as the one in Figure 1, to predict things like alligatoring of ingots (Figure 2).  In this case, we only need to model one quarter of the ingot due to symmetry planes.

It’s possible to minimise alligatoring by adjusting the rolling schedule.  This is important because less alligatoring means less of the ingot is cropped off. Consequently, waste is minimised.

Figure 3 shows a full 3D simulation of the whole ingot at the end of the ninth pass.  The alligator opens up as it moves into the roll bite before closing once it’s in the roll bite.

FEA models aluminium rolling

Figure 3. A full 3D FEA simulation of the ingot alligator entering the roll bite. The ingot is moving from left to right.

FEA models and the Innoval Rolling Model

Innoval also has an accurate fast-running analytical rolling model to predict roll loads, torques and other physical quantities.  We have used FEA models to develop our rolling model by predicting, for example, forward slip. This is how much faster the slab exits the roll bite compared to the roll surface speed.  Two dimensional FEA simulations predict the forward slip as a function of friction, Figure 4.

Forward slip

Figure 4. Forward slip as a function of friction as predicted by the FEA model.

We use the same FEA models to study the velocity of material through the roll bite at three points. These are the roll bite entry, the exit and the neutral point, Figure 5.  The neutral point is where the ingot surface speed matches the roll speed. The roll surface speed is 1 m/s in this example. Understanding this type of behaviour helps us to develop more accurate analytical models.

Velocity distribution

Figure 5. The velocity distribution through the ingot thickness at the roll bite entry and exit, and also at the neutral point.

Typically the mill should run in a mode that is optimum for the process as a whole.  This means the processes upstream and downstream of the mill need to be considered. This is where we can use some of our many other process modelling tools to find the optimum conditions for the line or product.

FEA models for tension levelling

A levelling process is often carried out after rolling and we have two models that can simulate this. These are the Innoval Tension Leveller Model and an FEA simulation of a roller leveller.  Figure 6 shows a screen shot of the Innoval Tension Leveller Model. The geometry of the rolls and strip are in the top window. The bottom window shows the strip through thickness stresses and strains.  It’s an extremely fast and user friendly model.

Tension leveller model

Figure 6. The Innoval Tension Leveller Model.

The FEA model of a roller leveller in Figure 7 shows a sheet entering a series of rolls along with the contact forces.  It can predict the properties of sheet exiting the leveller which helps the operator set up the machine.

figure-7-top

Tension leveller model 2

Figure 7. FEA simulation of a roller leveller with (lower picture) and without contact force vectors displayed.

 

Process cost models

Finally, when there are a number of machines to optimise in a process chain, understanding and calculating the costs can become very complicated.  Whilst our Process Cost Models are not FEA models, they are often used in conjunction with them to optimise an entire process. Furthermore, we have experienced specialists who can calculate the costs to assist in making strategic financial decisions.

If you would like to find out more about our modelling capabilities please contact us.

This blog post was originally written by Dr Rade Ognjanovic who has now left the company. Please contact Kyle Smith if you have any questions.

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Kyle Smith

Kyle is one of our rolling experts and is part of our Process Improvement team. He has over 25 years’ experience in rolling plant optimisation, and he’s worked in world-class mills all over the world.

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