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Wayam AI
ManufacturingEngineeringRepresentative scenario

Early Manufacturability Feedback on Cast Housing Designs

A pump manufacturer designs cast housings whose manufacturability problems - draft angles, wall thickness transitions, core support - surface only when the foundry quotes.

Run on Shilpa · Engineering & Design Automation

A design still in progress already showing where it cannot be cast

The challenge

    01

    Foundry feedback arrives weeks after design freeze, when changes are expensive.

    02

    Each foundry has slightly different constraints, and engineers cannot hold all of them in mind.

    03

    Rework loops between design and supplier add weeks to every new housing.

How Shilpa solves it

    01

    Foundry Rule Encoding

    Each supplier's casting constraints are encoded as a checkable rule set rather than a PDF guideline.

    02

    Live Geometry Checking

    Draft angles, wall transitions, and core support are validated against the target foundry's rules as the housing is modelled.

    03

    Violation Localization

    Problems are shown on the geometry that causes them, with the constraint that was breached.

    04

    Alternative Generation

    Where a constraint is violated, compliant geometry alternatives are proposed for the engineer to evaluate.

    05

    Supplier-Ready Handover

    The design reaches the foundry already validated against that foundry's rules.

The outcome

  • Manufacturability problems found during design rather than at quoting.

  • Rework loops between engineering and foundry substantially reduced.

  • Supplier-specific constraints applied without the engineer memorizing them.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

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