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Ansys FENSAP-ICE
Ice Accretion Simulation Software

Ansys FENSAP-ICE gives you a reliable method to simulate and analyze in-flight icing and ice accretion for a variety of aeronautical applications.

 

ACCURATELY COMPUTE ICING

Ansys FENSAP-ICE is a high performance, in-flight icing simulation software

Ice accretion is a complex phenomenon that is extremely difficult to replicate using physical testing. Yet it’s essential to understand and limit for safety, product performance, and strict regulations. FENSAP-ICE brings you convenience by encompassing all major aspects of in-flight icing. Having no significant geometric limitations, it is applicable to aircraft, rotorcraft, UAVs, jet engines, nacelles, probes, detectors and other installed systems.

  • Ice Cracking and Shedding
    Ice Cracking and Shedding
  • Ice Protection System Analysis
    Ice Protection System Analysis
  • Ice Accretion Analysis
    Ice Accretion Analysis
  • Aerodynamic Performance Penalty Analysis
    Aerodynamic Performance Penalty Analysis
FENSAP-ICE Product Overview

Quick Specs

Perform in depth calculations with the industry-leading in-flight icing simulator. This powerful and streamlined software allows you to analyze ice accretion and ice protection systems.

  • Ice cracking and shedding
  • Virtually Limitless Geometric Possibilities
  • Anti- and De-icing Heat Loads
  • Aid-to-Certification Simulation
  • Anisotropic Mesh Optimization
  • Analyze Aerodynamic Degradation
  • Compatible with CAD-based Mesh Generators
  • Conjugate Heat Transfer Analyses

July 2021

What's New

Accurate Ice Shape Prediction

Accurate Ice Shape Prediction

Includes improvements in ice shape prediction through advancements in density modeling, updated remeshing capabilities and updated workflows that integrate advanced heat transfer concepts and interface with Ansys Fluent, Ansys CFX and FENSAP-ICE.

Fensap Multishot Icing

Multishot icing with Ansys CFX

Productivity is drastically impvoed by extending the CFX user application for analyzing complex ice shapes on a single blade or component. Data and boundary conditions automatically transfer between CFX and the icing tools.

Tturbo Post Processing

Turbo Postprocessing in CFD-Post

An in-built icing macro easily sets up context for icing.

Ansys FENSAP-ICE uses state-of-the-art methods for accurate in-flight icing simulation

Ansys FENSAP-ICE reduces your workload by providing powerful solvers dedicated to in-flight icing. Relying solely on experimental testing can add serious time and cost to a project. It can also be extremely difficult to consistently reproduce precise test conditions. This software lets you to accurately evaluate a variety of physical conditions while evaluating complex physics, such as conjugating heat transfer, prior to manufacturing. Fensap Ice gives you more time to analyze results and focus on critical design decisions.

 

Key Features

Ansys Fensap Ice addresses all major in-flight icing phenomena and can help shorten your design cycle.

  • Ice Accretion
  • Aerodynamic Performance Penalty Analysis
  • Ice Crystal and Supercooled Large Droplets
  • Turbomachinery Icing
  • Ice Protection System Analysis
  • Mesh Optimization with OptiGrid

Calculate the shapes and roughness distributions of glaze, rime or mixed-type ice accretion on aircraft surfaces ranging from wings to air data probes.

Assess the adverse effects of ice accretion on aircraft surfaces, losses in lift-to-drag ratios, increased blockage of screens and engine passages, and more.

FENSAP-ICE models supercooled large droplets and irregularly shaped ice crystals in compliance with the requirements of icing certification envelopes in Appendix O and Appendix D.

FENSAP-ICE predicts ice accretion due to droplets and ice crystal ingestion in the gas path of turbofan engine compressors.

Assess the performance of bleed-air and electro-thermal IPS to ensure protection against adverse in-flight icing conditions.

OptiGrid provides solution-based anisotropic mesh optimization for high-precision CFD simulations on unstructured hybrid grids at the lowest possible computational cost.

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