Dynamic Mold Heating for Wind Turbine Blade Curing
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Solution Overview
Problem
Conventional wind turbine rotor blade manufacturing methods face inefficiencies due to uniform mold heating profiles, leading to regions being under-cured or over-cured, resulting in increased processing costs and longer cycles, despite variations in laminate structure and environmental conditions.
Innovation Solution
A method utilizing dynamic mold heating control with sensors and a controller to create unique temperature profiles for each mold zone based on composite material schedules, continuously optimizing the cure cycle through machine learning, and adjusting parameters like set points, ramp rates, and cure times to ensure uniform curing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform temperature profiles are used for all mold zones, then the manufacturing process is simple and energy consumption is reduced, but regions with different laminate structures become under-cured or over-cured
Solution Approach 1:
The mold is divided into multiple independently controllable heating zones, each capable of applying its own temperature profile. This segmentation allows different regions with varying laminate structures to receive customized heating, resolving the contradiction between process simplicity and cure uniformity.
Solution Approach 2:
Each heating zone is assigned a customized temperature profile based on its specific laminate structure, environmental conditions, and cure requirements. This local quality approach ensures that each region receives the precise thermal treatment needed, eliminating both under-curing and over-curing while maintaining manageable process complexity.
2Reliability
If safety margins are built into temperature profiles to ensure complete curing, then all regions achieve sufficient cure, but processing costs increase and cycle times extend
Solution Approach 1:
The system transitions from static, fixed temperature profiles to dynamic, real-time control. Each heating zone continuously adjusts its temperature based on live sensor feedback and predicted cure progression, allowing the process to optimize between reliability and productivity throughout the cycle.
Solution Approach 2:
Temperature sensors in each heating zone provide real-time feedback to the control system, which adjusts heating power accordingly. This closed-loop feedback ensures complete curing through reliable thermal control while avoiding unnecessary safety margins that would extend cycle time and increase costs.
3Device complexity
If conventional heating zones are used with fixed temperature profiles, then equipment complexity is reduced, but regional variations in laminate structure cause inconsistent cure rates
Solution Approach 1:
The heating system is segmented into multiple independent zones, each with its own temperature control. This segmentation increases device complexity but enables precise control over regional cure rates, allowing the system to handle varying laminate structures without compromising manufacturing precision.
Solution Approach 2:
The system dynamically changes temperature parameters for each heating zone based on the specific laminate structure, environmental conditions, and cure progression in that region. This parameter adaptation allows consistent cure rates across diverse zones while maintaining manageable equipment complexity through automated control.
4Reliability
If higher temperatures are applied to ensure complete curing in all regions, then cure reliability improves, but energy consumption and processing costs increase
Solution Approach 1:
Each heating zone receives temperature treatment customized to its specific requirements rather than applying a uniform high temperature throughout. This local quality approach ensures reliable curing in each region while minimizing overall energy consumption by applying heat only where and when needed.
Solution Approach 2:
The temperature profile for each heating zone is dynamic rather than static, adjusting in real-time based on cure progression, environmental conditions, and material properties. This dynamic control ensures reliable curing while optimizing energy consumption by avoiding unnecessary high temperatures in regions that are already curing adequately.
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 optimizes the curing process by achieving uniform temperature profiles across mold zones, reducing processing time and costs by ensuring complete curing without over-curing, thereby improving the efficiency and quality of wind turbine rotor blade components.
Implementation Method 1
supplying heat to each of the mold zones
Implementation Method 2
embedded with heating coils
Implementation Method 3
After the resin has finished an exothermic reaction
Data Source
Figure 1
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AI summary
A method and mold assembly for manufacturing a rotor blade component of a wind turbine is disclosed. The mold assembly includes a mold body that is divided into a plurality of mold zones, with each mold zone having a sensor for sensing a temperature thereof. Further, a composite material schedule is provided for each of the mold zones. Thus, the method includes placing composite material onto the mold body according to the composite material schedule and supplying a resin material to each mold zone of the mold body. The method also includes implementing a cure cycle for the component that includes supplying heat to each of the mold zones, continuously receiving signals from the sensors from the mold zones, and dynamically controlling via machine learning the supplied heat to each mold zone based on the sensor signals and the composite material schedule.