Composite Curing via Multi-Zone Thermal Control
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Solution Overview
Problem
Conventional composite manufacturing processes face inconsistencies leading to reduced yield, increased scrap, and performance/weight penalties due to issues like porosity, spring-back, warping, and adhesion problems during the curing and consolidation of composite materials.
Innovation Solution
A system utilizing a multi-dimensional array of independently-controlled thermal zones, monitored by sensors and controlled by machine-learning algorithms, to locally heat, cool, or maintain temperature, addressing inconsistencies by actively managing resin viscosity, flow, and process-induced strains during composite structure manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional autoclave curing is used for large composite components, then the composite materials can be cured to form integrated structures, but manufacturing inconsistencies occur leading to porosity, spring-back, warping, and adhesion problems
Solution Approach 1:
The autoclave heating system is segmented into multiple independently controllable thermal zones arranged in a multi-dimensional array. Each zone can be controlled separately to maintain uniform temperature distribution across large composite components, preventing manufacturing inconsistencies such as porosity and warping that occur with conventional uniform heating methods.
Solution Approach 2:
Different regions of the autoclave are provided with different thermal characteristics through the multi-dimensional array of thermal zones. This allows local optimization of curing conditions for different parts of the composite component, addressing local quality issues such as adhesion problems and spring-back while maintaining overall manufacturing consistency.
2Volume of moving object
If large autoclave is used to encompass large composite components and tools, then integrated structures can be manufactured, but the equipment complexity and manufacturing cost increase
Solution Approach 1:
The heating system is divided into multiple modular thermal zones that can be independently controlled. This segmentation allows the autoclave to handle large components without requiring a single complex heating system, thereby reducing overall device complexity while maintaining the capability to manufacture large integrated structures.
Solution Approach 2:
The thermal zones are dynamically controllable with independent temperature and timing control for each zone. This dynamic control capability allows the system to adapt to different component sizes and geometries, reducing the need for overly complex fixed infrastructure while maintaining versatility for manufacturing various large-scale composite structures.
3Ease of operation
If uniform heating is applied during composite curing, then the process is simple to control, but manufacturing inconsistencies occur due to temperature gradients and process-induced strains
Solution Approach 1:
The heating system provides locally optimized thermal conditions through independently controllable zones. Each zone can be tuned to compensate for local variations in material properties, tooling geometry, and heat transfer characteristics, thereby maintaining dimensional stability and preventing warping while preserving ease of operation through automated control algorithms.
Solution Approach 2:
The system incorporates sensors and control algorithms that monitor temperature and curing progress in each thermal zone, providing feedback to maintain uniform temperature distribution. This feedback mechanism automates the complexity of coordinated heating control, preserving ease of operation while achieving the manufacturing precision required to prevent spring-back and warping.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves manufacturing quality by reducing porosity, wrinkling, and spring-back, enhancing the consistency and performance of composite structures while minimizing rework and weight penalties.
Implementation Method 1
a plurality of heating/cooling devices configured to provide a plurality of thermal zones into which the surface is divided... independently controllable to locally heat, cool or maintain a temperature of a component element
Implementation Method 2
actively managing resin viscosity, flow, and process-induced strains... locally alter the temperature to change the frictional viscosity of resin... to reduce wrinkling of plies
Implementation Method 3
applying differing thermal ramp rates to locally alter the process induced strains from the resin polymer cross linking... to counteract spring-back and warpage
Implementation Method 4
heat the tool to aid in adhesion of the binder (for a bed of fibers to be resin infused) or resin (for a pre-impregnated bed of fibers) to lay down the first ply onto the tool
Data Source
AI summary
A system for manufacturing a composite structure includes a tool with a surface for supporting component elements of the composite structure. The surface is divided into a multi-dimensional array of thermal zones for in-process control of the temperature of a component element (e.g. resin) of the composite structure. The sensors sense a characteristic of the component element and provide sensor data, which is applied to a machine-learning algorithm configured to generate control data to achieve a defined quality goal. A controller then independently controls the thermal zones to locally heat, cool or maintain the temperature of the component element according to the control data to advance the component element or composite structure to the defined quality goal. This may be performed over a plurality of instances during which the machine-learning algorithm learns to increase advancement of the component element or composite structure to the defined quality goal.