CFD & FEA for a Copper Smelter Furnace

CFD & FEA for a Copper Smelter Furnace

EnCata carried out advanced CFD and FEA simulations to help an industrial manufacturer analyze heat and gas flow in a copper smelting furnace. The insights revealed inefficiencies, guided geometry improvements, and supported modernization across TRL 1–9.

Industry:

Industrial equipment & tools

Industrial equipment & tools

TRL:

1 → 9

Project duration:

9 months

Challenge

The core challenges of the project:

  • The issue necessitated specific, in-depth knowledge of raw materials, technologies used, intermediate and by-products.
  • The project had to be finished within a short timeframe of nine months.
  • The processes of mass, heat, and phase transitions had to be combined in the computer models.
  • The computational grid had more than 5 million elements, therefore standard PC power was insufficient to obtain accurate results in a reasonable amount of time.
  • Lack of comprehensive information on the characteristics of the intermediate products and the inability of carrying out the experiment

Our Role

  • 3D modeling;
  • Computational Fluid Dynamics;
  • Finite Element Analysis;
  • Engineering R&D.

Technologies Used

FEA/FEM simulations
CFD simulations
2D drawing
3D Modeling
Technological simulations
Technology processes

For Enterprises

R&D + design + manufacturing under ONE roof
Scale up and down your team
Intergrated hardware + software development
New technologies and research 

For Startups

MVP and POC prototypes
Affordable consultancy rates
All IP is yours
In-house batch production

Approach & Solution

For the first 3 weeks of the project, our team was not involved in modeling and design. We looked at the technological process itself and characteristics of the products created during its various stages. Our objective was not to fully comprehend the furnace process, but to dissect it into its constituent parts and focus solely on those that affected productivity.

Multiphase simulation of charge loading

The customer's losses from production downtime were directly related to the project duration. As a result, the team had to make trade-offs between the tasks. The utmost importance was given to the procedures that directly affected the final simulation model. For instance, the calculation of the temperature field was used to build the gas circuit instead of modeling sulfate corrosion. The areas where there was a risk of sulfate corrosion were determined through the temperature field analysis.

Submodeling helped us shorten the calculation time. We modeled the necessary area separately.As a result of the calculation, we determined the geometry of the structural elements of the furnace and established the geometry for the left and right convection shafts, the furnace uptake, and the furnace.

Understanding the technological processes that occur in a specific furnace area allowed us to simplify the calculating geometry. For example, just part of the basic geometry was analyzed when modeling the hydrodynamics of melt bubbling. The boundaries separating the calculating area from neighboring recurring areas were defined as symmetry boundaries. By simplifying calculations, we sped up modeling while maintaining calculation accuracy.

Test model of melt bath bubbling by oxygen-air mixture

A research supercomputer was utilized for the majority of simulation runs since the size of the furnace (length 21 meters and height of the melting shop 9 meters) and tuyeres (diameter 0.2 m) blowing the gas mixture at a near-sonic speed precluded utilizing normal methods of model development. About 50 iterations were performed for the main model. For further models, our team performed a great number of tiny iterations.

Multiphase simulation of charge loading (Part 2)

The combination of heat and mass transfer processes with phase transitions is not recorded by sensors during furnace operation and is also little studied by the scientific community. Therefore, the impossibility of conducting a real experiment of boiling processes was expected. The solution was to determine the required parameters through process simulation. For instance, to gauge the intensity of melt spattering in the furnace, we assessed the average quantity of spattered slag in the control zone above the melt during the simulation.

Results and Benefits

We delivered a validated parametric model of the Vanyukov furnace, capturing thermal, hydrodynamic, and aerodynamic processes. The project included 12 geometry variants, two separately modeled critical zones, and over 3,000 hours of simulation time. Results were compiled into a 200-page engineering report, accompanied by all simulation files and optimized 3D geometries to support the client’s modernization efforts.

The furnace manufacturer implemented EnCata’s findings and improved the efficiency of internal processes.
If you're working on process improvements or equipment optimization, feel free to contact us to discuss how CFD and FEA simulations might support your project.

3000 h

total compute time for simulation runs

50  iterations

to get the final validated model

2 TB

size of the result files

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