At Composite Forge, every high-performance composite blank begins with precision engineering. That means balancing performance, geometry, materials, and real-world manufacturability — not just optimizing for one variable in isolation. To do that at the level we demand, we built CF Engine: our in-house design and evaluation platform for composite tapered tubes and fishing blanks.
This month, we’re pulling back the curtain on how it works.
What Is CF Engine?
CF Engine is Composite Forge’s proprietary design platform built specifically for composite blank development. Rather than relying on generic simulation software or manual iteration, CF Engine was designed from the ground up to handle the specific demands of composite taper tube and fishing blank engineering — combining measured performance data, optimization tools, and manufacturing constraints into a single, connected workflow.
The result is a faster, more informed development loop that connects engineering analysis to the real-world requirements of production.
Starting with Measured Performance: The Auto Design Target
One of CF Engine’s most powerful features is how it begins the design process: with a real blank, not a theoretical one.
Using Auto Design, our engineering team digitally captures deflection data from a physical blank — one that already performs as we want. That data, combined with supporting measurements such as blank length, applied load weight, balance point, and outside-diameter profile, becomes the design target.
In other words, we don’t start from scratch. We start with something that works, then use it as a reference point to develop new designs with similar or improved performance characteristics. This measured-first approach gives our team a meaningful, quantifiable benchmark at every stage of development.
Optimization with Real Constraints
Once a target is established, CF Engine generates and evaluates design candidates — but this is not a hands-off process.
Our engineering team defines practical constraints, guidelines, and requirements based on the specific blank being developed. These constraints reflect both our design knowledge and our manufacturing experience, keeping the optimizer focused on designs that are not only close to the target performance but also realistic, measurable, and manufacturable.
The optimizer works through combinations of design variables including:
- Mandrel-driven internal geometry
- Composite pattern geometry
- Outside diameter profile
- Wall thickness
- Material placement and selection
- Material quantity
Each design candidate is evaluated based on how those choices shape the blank’s stiffness profile — what engineers call flexural rigidity. This tells us where the blank is stiffer, where it is more compliant, and how that stiffness transitions along the entire length of the blank. CF Engine also factors in outside diameter profile, weight, and balance point at every step.
Visualizing Thousands of Candidates in Real Time
As an optimization run progresses, CF Engine’s deflection graph updates in real time — showing each candidate profile converging toward the target. This allows our team to evaluate thousands of possible designs in minutes, exploring a design space that would be completely impractical to cover manually.
Once a run completes, our engineers compare the top-ranked candidates to identify the best balance of performance, manufacturability, and overall design intent. That comparison includes both the predicted bend shape and the flexural rigidity distribution behind it — giving a visual and quantitative picture of how different designs will perform under load.
Why Flexural Rigidity Matters
There may be multiple valid design candidates with similar-looking deflection curves — but those candidates can carry very different tradeoffs in weight, balance point, material layout, outside diameter, and stiffness distribution.
Flexural rigidity graphs are one of the key tools that help explain why two blanks can bend similarly but feel different in hand. By surfacing those tradeoffs clearly, CF Engine helps our team make informed decisions rather than relying solely on intuition or trial-and-error prototyping.
Engineering Judgment Still Drives the Process
CF Engine is a powerful tool — but it doesn’t replace engineering judgment or manufacturing knowledge. It enhances it.
The platform is designed to help our team connect rigorous engineering analysis, practical manufacturing constraints, and real measured performance data into a development process that is both faster and more grounded. Every optimization is set up by our engineers based on the specific blank being designed, the intended performance goals, and what we know is buildable at production scale.
That connection between the digital and the physical — between simulation and the shop floor — is what makes CF Engine meaningful.
Composite Forge: Precision from Concept to Production
At Composite Forge, we’re advancing composite blank design by combining hands-on manufacturing experience with precision engineering tools. CF Engine is a reflection of that commitment — built in-house, refined through real-world development, and designed to produce blanks that perform at the highest level.
Want to see CF Engine in action? Watch our full walkthrough video on YouTube to see the optimizer running in real time and hear our engineering team walk through the process from target to candidate selection.
How We Engineer Fishing Rod Blanks — CF Engine Walkthrough | Composite Forge
Watch our full CF Engine walkthrough to see real-time blank optimization in action.
