Case Study / Turbine Tooling
Stop redesigning
the same tooling problem.
A recurring turbine tooling process that could consume weeks of engineering was converted into a reusable parametric system capable of generating new tooling configurations in minutes.
Before
2+ weeks
engineering cycle
After
Minutes
new configuration
Scale
50+ blade configurations
supported by the reusable tooling approach
Previous Design vs Reusable Design
Not just faster engineering — a cleaner tooling approach.
The earlier tooling approach could require more precision-made parts, more manual assembly, and more trial-and-test work to get the fixture behaving correctly. The reusable parametric approach reduced recurring engineering time while also supporting a more practical, repeatable tooling architecture.
BEFORE
Part-heavy, manually realized, harder to repeat
A one-off fixture architecture like this could involve more precision components, more manual assembly effort, and more non-repeatable adjustment and testing to achieve the correct function.
AFTER
Cleaner architecture backed by reusable logic
The later approach captured the repeatable engineering logic in a reusable system, enabling much faster configuration while also supporting a simpler, more economical tooling path.
The Challenge
The geometry changed. The engineering pattern did not.
Each turbine blade configuration required custom manufacturing tooling. The resulting fixtures were different, but much of the underlying design logic—locating, relationships, clearances, interfaces, and manufacturing rules—repeated from job to job.
TIME
Engineering dominated lead time
A new tooling configuration could take more than two weeks to design even though the problem class was familiar.
KNOWLEDGE
Expert judgment repeated manually
Experienced engineers repeatedly applied the same relationships and rules to different blade geometry.
VARIATION
Customization was unavoidable
The correct answer was not one universal fixture; blade-specific geometry still had to be accommodated accurately.
The Insight
The product was custom. The design logic was reusable.
The opportunity was to separate what truly changed from what remained structurally consistent, then encode those stable relationships into the engineering system.
Instead of asking an engineer to redesign the fixture around every blade, the system asked for the blade geometry and applied the reusable tooling logic automatically.
What Changed
The recurring engineering became a platform.
The work moved from manually editing one fixture after another to a parametric tooling architecture built around reusable rules, interfaces, and geometry relationships.
ABSTRACTION
Identify the stable design rules
Separate blade-specific inputs from the locating, support, clearance, fixture, and manufacturing relationships that repeated across configurations.
PARAMETRIC MODEL
Make geometry respond to geometry
The tooling model was structured so relevant blade geometry could drive the fixture configuration rather than require dimension-by-dimension redesign.
OUTPUT
Generate usable engineering deliverables
The system supported the practical outputs needed to manufacture tooling, not merely a conceptual CAD model.
REUSE
Apply the capability to the next blade
Once the system existed, new blade configurations reused the engineering knowledge instead of starting another one-off design cycle.
Secondary Benefit
The tooling became cheaper too.
The engineering-system improvement also supported a more economical tooling approach, reducing typical tooling cost from roughly $4,000–$5,000 to under $1,000.
Typical Prior Tool Cost
$4k–$5k
New Approach
<$1k
The Result
The lasting output was capability, not a faster fixture.
The immediate gain was dramatic cycle-time reduction. The larger gain was a tooling capability that no longer depended on repeatedly designing, assembling, and proving out the same class of fixture by hand.
Engineering Cycle
2+ weeks
Minutes
Configurations
50+
blade configurations supported
Tool Cost
$4k–$5k
<$1k
Why This Case Matters
Automation is valuable when it captures engineering judgment.
The leverage came from identifying the reusable structure of the physical problem, then embedding that knowledge in a system others could use.
The system made a difficult engineering task look easy because the difficult thinking had already been done—and preserved.
Related Problems
This case is the clearest example of Telodyn's reusable-platform work.
PROBLEM 05
Reusable Engineering Platforms
When every variant triggers another engineering cycle even though the underlying rules repeat.
PROBLEM 02
Prototype to Production
When engineering knowledge must become repeatable product and process behavior.
PROBLEM 03
Low-Volume Manufacturing Systems
When specialized work needs repeatability without mass-production infrastructure.
Bring Us the Repeating Problem
What are you engineering over and over?
Tell us what changes from job to job, what stays the same, how much engineering time each cycle consumes, and where the expert judgment currently lives.