MOHA ZAKAIE FAR ยท Mechanical Design Portfolio
MECHANICAL DESIGN & SIMULATION INTERNSHIP

EAF–LF Off-Gas Duct Elbow

A combined CFD and structural feasibility study of a DN1600 duct elbow for primary EAF-LF off-gas ductwork at Dejpod Sanaat Sazeh, carried from CAD geometry and a mesh-verified flow prediction through to a structural safety case built on the CFD's own resolved pressure field.

Prepared by  Moha Zakaie Far
Software  SolidWorks · ANSYS Fluent · ANSYS Mechanical
CFD FEA SolidWorks ANSYS Mesh Convergence Turbulence Modeling Pressure Vessel Design Technical Reporting
Fig. 1. Interactive render of the duct elbow solid geometry, S235JR carbon structural steel (EN 10025-2). Drag to rotate, scroll to zoom.
01

Objective

Dejpod Sanaat Sazeh designs and delivers dust-collection and fume-treatment systems for the steel, iron-making and mining sectors. This internship project set out to build and prove a combined CFD/FEA workflow for the company's duct systems, using one representative EAF-LF off-gas duct section as the case.

02

The duct section

The section models one branch of a primary EAF-LF dedusting line: a straight inlet run, a 90-degree long-radius elbow, and a straight outlet run. Flow rate and duct size were derived from a real reference plant rather than assumed, and every value below is traced back to that reference or to a stated engineering assumption.

1.60 m
internal diameter (DN1600)
21.1 m/s
design velocity, Re ≈ 9.7×105
200°C
design gas temperature
3.0 kPa
system design (suction) pressure
CategoryParameterValue
GeometryNominal internal diameter1.60 m
Shell wall thickness6 mm
Elbow angle / bend radius90° / 2.40 m (R = 1.5D)
Upstream / downstream straight length5.0 m / 8.0 m
FlowDesign flow rate42.50 m³/s
Design velocity21.1 m/s
Reynolds number≈ 9.7 × 105
Thermal / StructuralDesign gas temperature200°C
Design (suction) pressure−3.0 kPa
MaterialShell materialS235JR (EN 10025-2)
FlangeOuter diameter / bolt-circle diameter1.80 m / 1.71 m
Bolts32 × M20
03

Method: turbulence-model selection

The elbow introduces streamline curvature and a risk of local flow separation on the inner wall. Rather than default to one closure, two candidate RANS turbulence models were compared with a weighted decision matrix, then stress-tested with a sensitivity check on the weights themselves.

Weighted score = Σ (criterion weight × score), each criterion scored 1–3
CriterionWeightRealizable k-εSST k-ω
Accuracy for curvature / separation0.3023
Computational / mesh cost0.2032
Near-wall mesh-targeting robustness0.3023
General solver robustness0.2033
Weighted total1.002.402.80
  • SST k-ω selected: better suited to curved, separation-prone flow, and its near-wall treatment adapts across a wide range of mesh resolution instead of needing a narrow y+ window.
  • A sensitivity check on the weights confirmed the result is stable. SST k-ω only loses out if raw computational economy is made the dominant priority, which it is not for this study.
  • The decision was carried forward without revisiting through the CFD build, run, and verification stages.
  • A risk register scored seven technical uncertainties by probability × damage before any modeling began, each with a stated mitigation carried into the analysis.
04

CFD model: mesh and setup

The fluid volume, the space the gas occupies from inlet to outlet, was meshed as a hexahedral O-grid with a boundary-layer inflation targeting a wall y+ near 1, so the near-wall region is resolved directly rather than through a wall function.

Base hexahedral surface mesh of the duct fluid volume
Fig. 2. Base hexahedral surface mesh, full domain.
Close-up of the hexahedral surface mesh on the elbow
Fig. 3. Close-up of the surface mesh on the elbow.
Cross-sectional view of the mesh through the elbow
Fig. 4. Cross-sectional view of the mesh through the elbow.
ControlBase meshRefined mesh
Elements≈ 1.04 million≈ 4.64 million
Wall y+ (average)0.941.05
Orthogonal quality (minimum)0.570.83
Skewness (maximum)0.440.44 (unchanged)
05

Results: pressure drop and verification

A base mesh and a refined mesh were both run to check the pressure-drop result was not mesh-dependent. Where the CFD and the hand-calculated benchmark disagreed by more than mesh refinement alone could explain, the benchmark itself was audited and found to need a correction, not the CFD.

35.4Pa
final CFD-predicted pressure drop, refined mesh, 85% of the corrected theoretical benchmark
The base and refined meshes were also rerun in a controlled comparison that varied only one solver setting at a time, which confirmed mesh density, not solver configuration, was driving the small shift between runs. A two-point Richardson extrapolation from the two mesh states places the mesh-independent result at ≈ 38–40 Pa, or 91–96% of the corrected benchmark.

Pressure drop by mesh state, against the theoretical benchmark

Total pressure drop, inlet to outlet, in Pa. Hover a bar for details.

CFD result
Corrected benchmark (41.7 Pa)
Original uncorrected benchmark (66.1 Pa), superseded

The hand-calc benchmark needed a correction, not the CFD

The first comparison suggested the CFD was under-predicting pressure drop by a wide margin. Rather than accept that gap, the benchmark itself was audited: its elbow loss coefficient (K = 0.3) had been taken from a generic reference table built around a small, roughly 50 mm reference pipe, about thirty-two times smaller than this 1.6 m duct, and the same reference (Crane TP-410) states its coefficients are diameter-dependent.

Recomputed with Crane’s own diameter-dependent method for this duct’s actual size, the corrected coefficient is K ≈ 0.153, roughly half the original value.

66.1 Pa (generic K) 41.7 Pa (diameter-corrected K)
QuantityTheory (independent)CFD resultStatus
Near-wall y+Target ≈ 11.045Excellent agreement
Straight-duct friction5.68 Pa8.13 PaExplainable, developing flow
Peak velocity25.8 m/s28.4 m/sConsistent, curvature effect
Wall shear stress0.504 Pa1.0–1.3 PaConsistent, curvature effect
Total pressure drop41.7 Pa (corrected)39.5 Pa (94.7%)Good, near mesh-independent
06

Flow-field insights

Beyond the pressure-drop number, detailed post-processing shows what is physically happening through the bend, and where that matters for the duct's structural and wear design.

Streamlines through the elbow, main view with two inset angles showing braiding downstream of the bend
Fig. 5. Streamlines released from a uniform grid at the inlet, traced to the outlet. The braided pattern downstream of the bend is a direct visual signature of secondary (rotational) flow.
Velocity magnitude contour on the bend symmetry plane, showing a high-speed core hugging the inner wall
Fig. 6. Velocity magnitude, symmetry-plane cut. Peak: 28.4 m/s at the inner wall.
Static wall pressure contour on the duct, showing high pressure on the outer bend wall and low pressure on the inner bend wall
Fig. 7. Static (gauge) wall pressure, full duct length. Range: −149.7 Pa to +93.2 Pa.

Six independent results point to the same finding

Wall and interior pressure, wall shear stress, turbulent kinetic energy, streamline topology, and helicity at two downstream stations all converge on one conclusion: the elbow generates a persistent secondary (Dean-vortex) flow that does not fully die out within the 8 m downstream leg. Peak wall pressure and peak wall shear also coincide at the same location, the outer wall at the bend entrance, which flags that specific point as the one to consider for a wear-resistant liner in abrasive, dust-laden service.

07

Structural analysis (FEA)

The elbow and its adjoining straight stubs, idealized as a shell from the CAD solid, were checked under two load cases: the uniform system design pressure, and the CFD's own resolved, non-uniform wall-pressure field.

≈ 540
yield safety factor, both load cases
≈ 34.7
buckling safety factor, governing check
4
target buckling SF (uplifted from a baseline of 3)
A

Uniform Design Pressure

Load case

The elbow and adjoining straight stubs, idealized as a shell from the SolidWorks solid, are loaded with the uniform −3.0 kPa system design pressure used to size the duct wall in the design basis.

0.436 MPa
peak stress, clean elbow reading
8.9 µm
peak deformation

Stress stays well below yield everywhere. A separate local maximum at the model’s cut edges is a known artifact of the simplified boundary condition there, confirmed by probing the elbow directly rather than reading the raw global maximum.

Stress contour on the elbow, uniform design pressure case
Fig. 8. Stress contour, uniform-pressure case.
B

CFD-Resolved Pressure

Load case

The same elbow is reloaded with the CFD’s own converged, spatially non-uniform wall-pressure field (Fig. 7) in place of the uniform assumption, on top of the system design pressure. On import, the field’s minimum matched the CFD’s own minimum almost exactly (−149.74 Pa vs. −149.7 Pa).

0.429 MPa
peak stress, clean elbow reading
10.5 µm
peak deformation

The realistic load redistributes stress rather than raising it: elevated at the outer wall, relieved at the inner wall, tracing directly to the bend’s flow asymmetry from Section 06. The verdict does not change, but the result is now a physically explained one rather than an assumed one.

CFD wall pressure field mapped onto the FEA shell model of the elbow
Fig. 9. The CFD wall-pressure field, imported directly onto the shell.
C

Buckling Check (Governing Failure Mode)

Governing check

Yielding carries an overwhelming margin in both load cases, so buckling under external (suction) pressure, identified as the governing mode from the very first hand calculation in the design basis, is the check that actually sizes this duct.

34.661
Mode 1 load multiplier at 3.0 kPa

This is an idealized linear eigenvalue result, not a pressure the real shell can be assumed to reach. Real thin shells buckle at a lower pressure once fabrication imperfections are present, which is exactly why the design basis itself uplifted its target safety factor from a baseline of 3 to 4 for this duct’s field-rolled, site-welded construction. Even a substantial, conservative derating for imperfection sensitivity leaves a margin of roughly 15–17, still comfortably above that target of 4.

Linear eigenvalue buckling Mode 1 shape, showing multi-lobe ovalization of the outlet leg
Fig. 10. Buckling Mode 1: multi-lobe ovalization, concentrated on the longer (8 m) outlet leg.
08

Integration and specification check

The two analysis phases connect directly: the realistic load case in Section 07 is the CFD's own converged wall pressure, carried into the structural model. The finished study was then checked back against its own starting specification, item by item.

09

Engineering judgment & recommendations

Beyond the pass/fail result, the study surfaces where a shortcut would have gone wrong, and what to check next.

⚠ Check diameter-dependence before trusting a generic K-factor

A textbook elbow loss coefficient looked like a CFD discrepancy until it was traced to the table’s own small-pipe basis. Worth carrying into any future large-diameter ductwork: check a generic coefficient’s stated range before applying it, rather than after.

Erosion risk now has a specific location

Peak wall pressure and peak wall shear coincide at the outer wall, bend entrance. For hot, dust-laden service, that is the natural place to specify a wear-resistant liner or added wall allowance in a production design.

Buckling governs by a wide margin, yielding does not

With a buckling SF of roughly 35 (still 15–17 after a conservative imperfection derating) against a target of 4, and a yield SF over 500, future duct sizing on this line can treat external-pressure buckling as the controlling check from the outset.

Two checks recommended before production

A dedicated FEA mesh-convergence study, mirroring the CFD phase’s base-versus-refined comparison, and a thermal-loading pass at the 200°C operating temperature, deferred here on the internship’s time budget, are the two clearest next steps.

10

Skills demonstrated

CAD Modeling & Shell Idealization (SolidWorks) CFD Meshing & Solving (ANSYS Fluent) Structural FEA (ANSYS Mechanical) Turbulence-Model Selection (Decision Matrix) Mesh Convergence & Verification CFD-to-FEA Load Transfer Pressure-Vessel / Buckling Design (EN 13445-3) Engineering Judgment & Risk Flagging Technical Reporting & Traceability