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Generating Sheet-Metal Bracket Variants Under Manufacturing Constraints

An automotive tier-1 supplier produces several hundred bracket variants a year, most of them minor adaptations of an existing design to a new mounting position.

Runs onShilpa

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Experienced engineers spend a large share of their week on adaptations that require judgement but not creativity.
  • Manufacturability problems such as bend radius and tool access are found at quoting, after the design work is done.
  • Each engineer solves the same adaptation slightly differently, so the family drifts apart over time.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Intent Capture

The engineer states the change in engineering terms - mounting position, load case, material - rather than modelling it feature by feature.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • Routine adaptation work reduced to review rather than modelling.
  • Manufacturability problems caught during design instead of at quoting.
  • Variant families that stay consistent as they grow.

Capabilities this relies on

  • generative design
  • system connectors
  • root cause reasoning
  • human approval

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