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List of ANSYS Polyflow Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Celanese Oil, Gas and Chemicals 11000 $10.3B United States Ansys Inc. ANSYS Polyflow Computational Fluid Dynamics (CFD) 2013 n/a
In 2013 Celanese implemented ANSYS Polyflow to support Fluid Product Engineering across product engineering and process simulation functions. The initial work concentrated on developing viscosity and isotropic and orthotropic material data cards for ANSYS Polyflow and Abaqus/CAE, establishing the material modeling foundation for polymer and fluid behavior simulation. The implementation centered on material model development and data card configuration, delivering rheological viscosity models and isotropic and orthotropic constitutive definitions as reusable material library entries for ANSYS Polyflow and Abaqus/CAE. Operational scope covered simulation and product engineering teams, with governance controls introduced for versioned material data cards and formal validation workflows to ensure consistent handoff and interoperability between ANSYS Polyflow and Abaqus/CAE analyses.
Indian Institute of Technology, Madras Education 1250 $120M India Ansys Inc. ANSYS Polyflow Computational Fluid Dynamics (CFD) 2015 n/a
In 2015, Indian Institute of Technology, Madras deployed ANSYS Polyflow to support a research and prototyping program in Fluid Product Engineering. The work centered on a 3D Printer built and assembled from Project RepRap designs, with ANSYS Polyflow used explicitly for extruder simulation and design iteration. The implementation used ANSYS Polyflow to model extrusion flow behavior, including viscoelastic polymer flow, thermal coupling, mesh adaptation, and solver configuration typical of industrial extrusion simulations. Simulation workflows were organized as parametric studies, feeding a multi objective genetic algorithm optimization loop that adjusted extruder geometry and process variables to inform subsequent design iterations. Operationally the effort combined hands on prototyping in the institute's engineering labs with a virtual simulation and optimization pipeline, linking CAD assemblies from the Project RepRap build to ANSYS Polyflow runs and the multi objective genetic algorithm optimizer. Governance followed a phased approach with physical assembly in the first phase and a controlled simulation and optimization phase thereafter, supporting engineering, research, and product design functions within the institute.
Michelin Group Automotive 125000 $18.9B France Ansys Inc. ANSYS Polyflow Computational Fluid Dynamics (CFD) 2011 n/a
In 2011, Michelin Group implemented ANSYS Polyflow for Fluid Product Engineering. The initial deployment focused on development of flow simulations for extrusion process on ANSYS Polyflow, tying the application directly to materials engineering, process engineering, and polymer processing functions within the company. The ANSYS Polyflow implementation emphasized simulation capabilities common to the Fluid Product Engineering category, including non Newtonian flow modeling, polymer rheology representation, extrusion die and channel flow analysis, and mesh generation for viscous flow. ANSYS Polyflow was configured to support parametric studies of process variables and to produce engineering grade numerical models used by process development teams. Architecturally the deployment was oriented to an engineering simulation environment, combining desktop CAE workstations with centralized compute capacity for batch runs and sensitivity sweeps, with ANSYS Polyflow serving as the core solver. Operational scope covered Michelin Group materials R&D and process engineering organizations, where simulation outputs informed extrusion tooling and processing decisions. Governance practices around the ANSYS Polyflow rollout included standardization of simulation templates, model verification workflows linked to laboratory extrusion trials, and engineering review gates to validate model assumptions. The implementation positioned ANSYS Polyflow as the primary Fluid Product Engineering tool for extrusion process modeling at Michelin Group.
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Buyer Intent: Companies Evaluating ANSYS Polyflow

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating ANSYS Polyflow. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating ANSYS Polyflow for Computational Fluid Dynamics (CFD) include:

  1. Plastoform, a Slovenia based Manufacturing organization with 231 Employees
  2. BASF, a Germany based Life Sciences company with 111408 Employees
  3. Linex, a Poland based Manufacturing organization with 200 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD ANSYS Polyflow Coverage

ANSYS Polyflow is a Computational Fluid Dynamics (CFD) solution from Ansys Inc..

Companies worldwide use ANSYS Polyflow, from small firms to large enterprises across 21+ industries.

Organizations such as Michelin Group, Celanese and Indian Institute of Technology, Madras are recorded users of ANSYS Polyflow for Computational Fluid Dynamics (CFD).

Companies using ANSYS Polyflow are most concentrated in Automotive, Oil, Gas and Chemicals and Education, with adoption spanning over 21 industries.

Companies using ANSYS Polyflow are most concentrated in France, United States and India, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ANSYS Polyflow across Americas, EMEA, and APAC.

Companies using ANSYS Polyflow range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.

Customers of ANSYS Polyflow include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified ANSYS Polyflow customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Computational Fluid Dynamics (CFD).