If you are designing advanced composite aerospace structures using conventional CAD systems such as SolidWorks, you have likely encountered a recurring issue.
The model looks complete. Geometry is correct. Constraints are satisfied. The design moves forward with confidence.
But once the part enters manufacturing, inspection, or testing, problems begin to emerge.
Parts do not perform as expected. Fitment issues arise. Inspection reveals deviations. Engineering teams are forced to revisit decisions that were already approved, often under tight timelines and with costs already committed.
This is not a failure of execution. It is a limitation of traditional CAD systems, which prioritise geometry as the primary definition of a part. For composite structures, key performance drivers are not fully represented within this framework.
As a result, the design may appear complete yet lack critical engineering context, leading to downstream issues such as design errors, rework, and certification delays.
The Core Problem: Geometry Is Not the Source of Truth in Composites
Traditional CAD systems are built around a core assumption:
If the geometry is correct, the part will perform as expected.
For conventional materials, this works.
For composites, it fails.
Layered Complexity: What Actually Defines a Composite Part
Composite aerospace structures are not defined by their outer shape.
They are defined by:
- Ply-by-ply laminate layers
- Fibre orientation within each ply
- Stacking sequence across the structure
These variables determine how loads are carried, how the part behaves under stress, and whether it will meet performance requirements.
Two parts with identical geometry can perform completely differently depending on these internal definitions.
The final geometry is only the result. Not the definition of the part.
Traditional CAD systems do not manage this layered complexity within the model. Instead, the engineering definition is fragmented:
- CAD models define shape
- Spreadsheets define laminate schedules
- Simulation tools define behaviour
- Manufacturing documentation defines the process
Because this information is not unified, the CAD model becomes an incomplete representation of the part, leading directly to incorrect design assumptions and downstream errors.
The Risk of Errors: Where Traditional CAD Fails
Composite structures are highly sensitive to small variations.
Defects such as:
- Fibre misalignment
- Wrinkles during layup
- Local inconsistencies in the laminate
Are not minor issues; they are structural failures.
In many cases, defects such as wrinkles can reduce compressive strength by up to 75% and significantly shorten fatigue life.
Traditional CAD systems lack the engineering intelligence required to predict these issues.
They cannot:
- Simulate fibre behaviour during layup
- Predict how materials will drape over geometry
- Validate whether a design is manufacturable without introducing defects
As a result, structurally invalid designs can pass through engineering undetected, only to fail later during manufacturing or testing.
Manufacturing Is Not Downstream. It Defines the Design.
In composite engineering, manufacturing is not a separate phase.
It defines the outcome.
Factors such as:
- Layup methods
- Tooling constraints
- Fibre placement paths
- Cure cycles
All directly influence structural performance.
Traditional CAD systems treat manufacturing as a downstream step.
This results in designs that are geometrically correct but physically unbuildable, leading to manufacturing failures and rework.
Why Design Errors Are Inevitable
When engineering intent is fragmented, design decisions are made without full context.
Engineers working within CAD environments often lack visibility into:
- Complete laminate definitions
- Fibre orientations
- Manufacturing constraints
This leads to:
- Incorrect load assumptions
- Invalid laminate configurations
- Designs that cannot be manufactured
These are not isolated issues. They are systemic design errors caused by incomplete engineering definitions.
Why Rework Becomes Built Into the Process
Because these issues are not detected during design, they are discovered later:
- During manufacturing
- During inspection
- During testing
At this point, costs are already committed.
Composite manufacturing amplifies the impact:
- High material costs
- Irreversible processes
- Limited rework capability
Scrap rates can reach 30–50%.
Rework is not caused by poor execution. It is the direct result of incomplete engineering definitions created by geometry-driven CAD systems.
Certification Roadblocks: The Hidden Bottleneck
Aerospace certification requires full traceability:
- Materials
- Manufacturing processes
- Design decisions
- Validation data
However, in traditional CAD workflows:
- Laminate data exists in spreadsheets
- Geometry exists in CAD
- Simulation exists in separate tools
This fragmentation makes it nearly impossible to provide seamless traceability.
Instead of validating a single, continuous engineering definition, teams are forced to reconstruct fragmented data across systems, leading to certification delays, additional validation, and increased risk.
The Limitations Are Systemic, Not Isolated
The challenges outlined are not isolated issues. They stem from a fundamental limitation in how traditional CAD systems define and manage engineering data. When critical inputs are not embedded within the design environment, gaps emerge between design intent, manufacturing reality, and final performance.
These gaps drive errors, rework, and delays that cannot be resolved through process improvements alone. Addressing them requires a shift to enterprise engineering platforms, which are designed to capture, connect, and validate the full definition of a composite structure within a single, integrated environment.
Source: https://www.3ds.com/
Why CATIA is Essential For Aerospace Teams Building Composite Structures
Basic CAD systems are highly effective for conventional parts.
But advanced composite aerospace structures require more than geometry.
They require a system that understands:
- Material behaviour
- Manufacturing constraints
- Structural performance
- Traceability
This is why advanced aerospace programs require a more sophisticated engineering platform like CATIA.
Explore CATIA for aerospace and composite engineering
What CATIA Does Differently To Traditional CAD Software
True Composite Intelligence
CATIA manages the entire laminate definition within the 3D model.
This includes:
- Ply-by-ply structures
- Fibre orientations
- Stacking sequences
Fibre orientation is always linked to geometry, ensuring that engineering intent is preserved and eliminating the disconnect that causes design errors.
Why CATIA is Essential For Aerospace Teams Building Composite Structures
Basic CAD systems are highly effective for conventional parts.
But advanced composite aerospace structures require more than geometry.
They require a system that understands:
- Material behaviour
- Manufacturing constraints
- Structural performance
- Traceability
This is why advanced aerospace programs require a more sophisticated engineering platform like CATIA.
Explore CATIA for aerospace and composite engineering
What CATIA Does Differently To Traditional CAD Software
True Composite Intelligence
CATIA manages the entire laminate definition within the 3D model.
This includes:
- Ply-by-ply structures
- Fibre orientations
- Stacking sequences
Fibre orientation is always linked to geometry, ensuring that engineering intent is preserved and eliminating the disconnect that causes design errors.
Manufacturing Feasibility Through Draping Simulation
CATIA includes tools to simulate the draping of composite materials.
Engineers can:
- Predict how fibres behave over complex surfaces
- Identify wrinkles and distortions
- Validate manufacturability before production
This ensures that designs are not only theoretically correct but physically manufacturable—preventing rework before it happens.
Digital Continuity and a Single Source of Truth
CATIA integrates with:
- Simulia for simulation
- Enovia for data and lifecycle management
This creates a unified engineering environment.
All data is connected, creating a single source of truth that enables full traceability and simplifies certification.
The Result: A Shift in Workflow
Instead of:
Design → Build → Identify Issue → Redesign
Engineering teams operate with:
Define → Validate → Build
Problems are solved early, before they become costly.
The Impact on Engineering Outcomes
- Design errors are reduced because engineering intent is fully captured
- Rework is reduced because manufacturability is validated early
- Certification delays are minimised because traceability is built-in
- Collaboration improves because all teams work from a unified system
The Cost Difference
One of the most common objections to enterprise platforms like CATIA is cost. While these systems were historically associated with high upfront investment, that perception is increasingly outdated. Modern licensing models and scalable implementations have made enterprise-level tools more accessible than many teams assume.
More importantly, the cost of staying with traditional CAD is often far higher when rework, scrap, delays, and certification overhead are factored in. Transitioning is also more straightforward than expected, with structured onboarding, data migration pathways, and integration capabilities that allow teams to adopt advanced workflows without disrupting ongoing projects.
Final Thought
Traditional CAD systems do not just struggle with composite aerospace structures.
They create the conditions that lead to design errors, rework, and certification delays.
Solving these challenges requires addressing the root issue:
How engineering information is defined, connected, and validated.
CATIA solves this by unifying the entire engineering definition into a single, connected system.
Why are traditional CAD systems not suitable for composite aerospace design?
Traditional CAD systems are geometry-driven and do not manage laminate definitions, fibre orientation, or manufacturing behaviour within the model. This leads to incomplete engineering definitions and increased risk of errors.
How does CATIA improve composite design accuracy?
CATIA embeds the full laminate definition into the 3D model, ensuring fibre orientation, stacking sequences, and material behaviour are always linked to geometry.
How does CATIA prevent manufacturing issues?
CATIA uses draping simulation to predict how composite materials behave during layup, allowing engineers to identify defects such as wrinkles before production begins.
Why does traditional CAD lead to certification delays?
Because engineering data is fragmented across multiple systems, it becomes difficult to provide the continuous, traceable record required for certification.
How does CATIA simplify certification?
By integrating design, simulation, and data management through Simulia and Enovia, CATIA creates a single source of truth that provides full traceability.
When should engineering teams adopt CATIA?
When working on advanced composite aerospace structures, especially when experiencing rework, misalignment, or certification challenges.