Aeronautics

Wing Rib Family Lightweighting and Manufacturing Route Selection for a Regional Turboprop Aircraft

A regional turboprop program needed to cut structural mass across a five-position wing rib family while validating die casting against 5-axis machining under CS-25 load cases. A parallel Design of Experiments replaced sequential single-rib engineering. Outcome: 28% average mass reduction per rib position, 50+ design candidates generated in parallel, and per-variant lead time cut from 2 weeks to 2 days after initial workflow buildup.
Wing Rib Family Lightweighting and Manufacturing Route Selection for a Regional Turboprop Aircraft

The Part

The wing rib is a primary structural member across a five-position span variant family on a regional turboprop aircraft, transferring aerodynamic and ground loads from the skin panels into the wing box while accommodating fuel-system interfaces and inspection access. Each variant carries a different chord length, rib height, and local load intensity, all governed by CS-25 limit and ultimate load requirements, plus gust and landing impact cases. Al-7075-T6 was selected over the Al-2024-T3 baseline for its higher yield strength (503 MPa versus 345 MPa), giving the team margin to remove mass while still meeting the full structural load envelope.

Legacy wig rib

The Challenge

The legacy ribs were not failing. Each variant had flown for years within a safety factor of 2.8, well above the CS-25 requirement. The pressure driving redesign was scale, not performance. Exploring five span positions independently under a conventional workflow means rebuilding geometry, meshing, and manufacturability review for each one in sequence, turning a single-rib study into months of non-recurring engineering.

A second constraint compounded the first: draft angles, split lines, and tool-access envelopes for the two candidate manufacturing routes, die casting and 5-axis machining, are typically checked only once a structural concept is already committed, forcing rework late in the program.

The Approach

The team ran a Design of Experiments across the full design space, generating 50+ variants in a single parallel pass instead of the 2 to 3 concepts a sequential workflow allows in the same window. Manufacturing constraints for both die casting and 5-axis machining were embedded from the first iteration, so every ranked candidate was already producible.

The manufacturing route the data pointed to was not the default assumption: die casting won out over machining once production volume and cost-per-part at scale were factored in, not on structural grounds alone. Once the mid-span rib was validated, the full workflow, including topology optimization, MDD constraints, and SDD refinement, was converted into a reusable parametric template.

The case study details the full DoE configuration, the load case setup under CS-25 gust and landing conditions, and the parametric template architecture that regenerated the remaining four rib positions automatically.

Key Results

  • 28% mass reduction per rib position, from 3.15 kg to 2.27 kg (estimated), fully CS-25 compliant
  • 50+ design candidates explored in parallel, versus 2-3 in a conventional sequential workflow
  • 2 days per variant after initial workflow buildup, down from 2 weeks, a 3x reduction across the full 5-rib family

The case study includes the complete before/after metrics table, validation data, and the parametric template architecture used to regenerate the remaining rib positions.

Why It Matters

When manufacturability and structural optimization run together from the first iteration, comparing manufacturing routes stops being a late-stage check and becomes part of the design decision itself. For part families sized like this one, the reusable workflow is what turns a five-variant program into a single engineering investment rather than five separate ones.

Download the case study to see the complete metrics table, the full CS-25 load case validation data, and the parametric template architecture.

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FAQs

Explore our frequently asked questions to understand how our software can benefit you.

Does topology optimization work for casting and machining, or only for additive manufacturing?

It works for all three process families, provided the constraints specific to each are built into the exploration phase from the start: overhang angle for additive, draft angle for casting, tool accessibility for machining.

Can a part produced through topology optimization be certified for aerospace or defense applications?

Yes, provided the design process is documented and traceable, and the final geometry is revalidated using the qualification methods applicable to the relevant sector. The complexity usually lies less in the calculation itself than in the compliance documentation that accompanies it.

How much can per-variant engineering lead time drop across a multi-position structural part family?

Once the reference variant is validated and converted into a reusable parametric workflow, downstream variants typically regenerate through the same topology optimization, MDD, and SDD chain with only the input geometry and load magnitude updated. In a documented five-position wing rib family, this reduced per-variant engineering lead time from 2 weeks to 2 days after the initial workflow buildup, cutting the full family's engineering time from roughly 10 weeks to about 3.5 weeks.

Why might an optimized aerospace part show a lower safety factor than the legacy design?

Legacy parts are often dimensioned with a wide margin above the applicable structural requirement, simply because the original design process could not explore enough alternatives to converge on the load envelope precisely. When a part is re-optimized against the full CS-25 load case set and validated with final FEA, the resulting safety factor can land much closer to the compliance threshold, for example 1.5 versus a legacy 2.8, while still meeting every ultimate load and structural requirement.

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