Erosion Analysis
Predicting and Mitigating Material Wear in Fluid Systems
Erosion due to fluid-particle interaction is a critical concern in piping systems, valves, elbows, and equipment handling slurry, sand-laden gas, or multiphase flows. It can lead to progressive material loss, reduced performance, unplanned shutdowns, and even catastrophic failure. At ENA2, we perform advanced Erosion Analysis using CFD-based simulations to predict erosion-prone regions, quantify material wear rates, and guide design improvements that extend service life and ensure system reliability.
Simulation Capabilities
Eulerian–Lagrangian or DPM-Based Particle Tracking
Using the Discrete Phase Model (DPM) or Eulerian–Lagrangian approach, we simulate:
- Particle trajectories based on fluid velocity, drag, gravity, and turbulence dispersion.
- Impact angle and velocity on surfaces to assess erosion severity.
- Steady or transient flow conditions, capturing unsteady particle-wall interactions in pulsating or start-up scenarios.
This modeling approach is ideal for analyzing sand-laden flows, ash particles, water droplets in steam systems, or solid contaminants in pipelines and vessels.
Erosion Rate Models
ENA2 integrates industry-validated erosion correlations to calculate material loss over time:
- Oka model – suitable for high-velocity gas-solid flows with size and angle dependency.
- Finnie model – appropriate for ductile materials and low-velocity erosion scenarios.
- DNV-RP-O501 – widely used for offshore oil and gas systems handling sand production.
These models account for factors like impact velocity, particle size and hardness, fluid carrier properties, impingement angle, and material erosion resistance to deliver actionable predictions for material selection and design improvements.
Multiphase Flow Erosion
ENA2 simulates erosion in gas-solid, liquid-solid, or steam-droplet flow environments, allowing us to assess wear in:
- Oil and gas pipelines, particularly in elbows, bends, and valves where sand particles are common.
- Steam turbines and condensers, where wet steam droplets cause droplet impingement erosion.
- Hydrotransport systems, involving slurry or abrasive liquid-solid flows in mining or chemical processing.
By modeling interphase interactions, we can accurately predict particle concentration zones, stagnation regions, and turbulent eddies that accelerate wear.
Geometry-Specific Wear Assessment
We compute:
- Local losses: Across valves, orifices, or fittings using CFD-derived K-factors
- System-wide losses: Total pressure drop over long piping runs, ducting systems, or equipment arrays
This allows identification of critical loss locations and opportunities for redesign or optimization.
Applications and Industry Use
Causes and Mechanisms of Erosion
Erosion typically results from high-velocity particles impacting surfaces within fluid systems. Our analysis captures the underlying mechanisms:
Solid Particle Impingement
Hard particles in liquid or gas streams striking walls at high velocity and varying angles cause localized wear.
Liquid Droplet Impingement
High-speed liquid droplets in steam or mist flow regimes impacting metallic surfaces can cause droplet erosion.
Slurry Flow-Induced Erosion
Suspended particles in dense-phase slurry flow produce erosion in bends, reducers, tees, and valves.
Cavitation-Driven Erosion
Localized collapse of vapor bubbles near solid boundaries generates intense pressure spikes leading to pitting damage.
Evaluation Metrics and Deliverables
Our erosion simulations provide critical engineering insights, including:
- Particle trajectory maps and impact velocity profiles
- Erosion rate contours and cumulative material loss prediction
- Identification of critical wear zones and erosion damage timelines
- Design improvement recommendations (geometry, coatings, flow conditioning)
- Comparative studies between materials, flow velocities, and particle characteristics
Applications and Industry Use
ENA2’s erosion analysis helps clients design more durable systems, reduce maintenance frequency, and prevent operational failures. With physics-based modeling and validated empirical methods, we ensure accurate predictions of erosion behavior in even the most demanding flow environments.
