List of AVL FIRE Customers
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Since 2010, our global team of researchers has been studying AVL FIRE customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased AVL FIRE for Computational Fluid Dynamics (CFD) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using AVL FIRE for Computational Fluid Dynamics (CFD) include: BMW Germany, a Germany based Automotive organisation with 86895 employees and revenues of $114.25 billion, Technical University of Munich, a Germany based Education organisation with 11269 employees and revenues of $1.60 billion, University of Darmstadt, a Germany based Education organisation with 5173 employees and revenues of $647.0 million, Katcon, a Mexico based Automotive organisation with 3900 employees and revenues of $600.0 million and many others.
Contact us if you need a completed and verified list of companies using AVL FIRE, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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BMW Germany | Automotive | 86895 | $114.3B | Germany | AVL List | AVL FIRE | Computational Fluid Dynamics (CFD) | 2014 | n/a |
In 2014, BMW Germany implemented AVL FIRE, a Computational Fluid Dynamics (CFD) application, following an 18 month CFD benchmark. The procurement targeted engine and powertrain development at BMW Group in Germany, with the explicit objective to strengthen in cylinder and multi phase simulation capabilities for combustion and spray processes.
AVL FIRE was applied within OEM engine development workflows, with inferred module usage centered on in cylinder combustion CFD and multi phase flow simulation based on the bench test results. The implementation leveraged standard CFD functional capabilities such as transient combustion solvers, spray and multiphase modeling, turbulence and combustion closure modeling, and mesh and solver configuration tuned to cylinder geometries, all executed through AVL FIRE.
Operational integration focused on embedding AVL FIRE simulation runs into the engine and powertrain simulation toolchain used by BMW Group engineering teams in Germany. The scope emphasized simulation-led development cycles for combustion calibration and design iteration rather than enterprise wide IT consolidation.
Selection governance was driven by the 18 month benchmark process, and bench test outcomes were used to validate AVL FIRE's suitability for OEM engine development workflows. Rollout and governance efforts centered on formalizing CFD run schedules, engineering handoffs between simulation and test teams, and standardizing solver configuration and result exchange within powertrain development processes.
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Katcon | Automotive | 3900 | $600M | Mexico | AVL List | AVL FIRE | Computational Fluid Dynamics (CFD) | 2013 | n/a |
In 2013, Katcon implemented AVL FIRE to strengthen its CAE and virtual validation capabilities, formally incorporating AVL FIRE into its Computational Fluid Dynamics (CFD) toolset. The deployment targeted engineering labs across Mexico, Michigan, Poland, Luxembourg, and China, aligning CFD workflows with the companys global product development footprint.
AVL FIRE was used for steady and transient CFD simulation workflows within Katcons analysis pipeline, supporting meshing preparation, solver execution, and postprocessing activities typical of Computational Fluid Dynamics (CFD) practice. The application was one component in a multi‑software CAE portfolio that underpinned virtual validation and correlation, complementing structural and system simulation efforts across the CAE department.
The AVL FIRE implementation was integrated operationally with Katcons CAD and PLM landscape, leveraging NX and CATIA for CAD data exchange and Siemens Teamcenter for change management and product lifecycle governance. The CFD workstreams ran alongside other analysis tools such as Abaqus, ANSYS Fluent, Nastran, GT‑Power, and Hypermesh to create a cohesive virtual development process across development, quality, manufacturing, and purchasing functions.
Process governance emphasized a complete virtual development loop and correlation studies that bridge virtual and physical testing, with physical testing capabilities available in Katcons China, Europe, and North America sites. The program supported faster information flow in engineering and contributed to reduced time and cost in validation activities, while PLM via Teamcenter centralized cross functional workflows and release control.
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Technical University of Munich | Education | 11269 | $1.6B | Germany | AVL List | AVL FIRE | Computational Fluid Dynamics (CFD) | 2014 | n/a |
In 2014, the Technical University of Munich used AVL FIRE in Computational Fluid Dynamics (CFD) research on in cylinder flows and piston ring pack simulations to support internal combustion engine studies in Germany. The use of AVL FIRE at the university linked the application to academic engine development simulation workflows and to publication output, including an SAE technical paper documenting numerical simulation results.
AVL FIRE was employed for core CFD capabilities consistent with Computational Fluid Dynamics (CFD) use cases, including transient internal combustion chamber flow solvers, piston ring pack flow modeling, turbulence modeling, mesh generation and refinement, and post processing of flow fields and derived quantities. Researchers and students at TUM ran simulation scenarios and parameter studies using AVL FIRE as the principal solver environment for engine related fluid flow analysis.
Operationally the deployment covered academic research groups and graduate student workflows within the university s engine research activities in Germany, where AVL FIRE was integrated into experimental data comparison and simulation reporting routines. The implementation was embedded in research governance and publication processes, with outputs explicitly cited in an SAE technical paper that demonstrates AVL FIRE s role in TUM s engine development simulation workflows.
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Education | 5173 | $647M | Germany | AVL List | AVL FIRE | Computational Fluid Dynamics (CFD) | 2013 | n/a |
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