Digital Twin for Composite Autoclave Manufacturing
High-performance composites. First-time-right production. Reliable Processes
Composite structures are widely used in aerospace, automotive, energy, and defense for their high strength-to-weight ratio. However, producing high-quality composite parts requires precise control of the autoclave curing process.
Even with the same recipe, part thickness, layup sequence, tool geometry, material variation, resin behavior, and heat transfer conditions can change how the part cures.
These variations may cause residual stress, porosity, incomplete cure, dimensional distortion, longer cycle times, or inconsistent quality.
Simularge’s physics-based digital twin improves composite autoclave manufacturing processes by providing real-time visibility into what is happening inside the part during the curing cycle.
Rather than relying solely on sensor readings, the digital twin predicts the internal thermal behavior and curing state of each component, allowing manufacturers to optimize process parameters before quality deviations occur.
The digital twin can support:
Real-time 3D temperature distribution prediction inside the composite part
Degree of cure prediction with high spatial accuracy
Cure cycle optimization to reduce unnecessary dwell time
Early detection of under-cured or over-heated zones
Residual stress and deformation risk estimation
Energy consumption reduction through optimized heating and cooling profiles
Lower scrap and rework caused by curing-related defects
More repeatable production of high-value composite components
Comparable studies show the following potential operational impact:
Up to 19% shorter cure cycles
Reduced processing time while maintaining the required degree of cure and controlling curing-induced deformation. [1]
45% Lower Quality-Prediction Error
Digital-twin-generated process data improved the reliability of quality predictions, enabling earlier detection of potential quality deviations. [2]
Up to 20% improvement in key mechanical properties
Optimized cure cycles have demonstrated improvements in tensile strength, flexural strength, and material stiffness. [3]
For composite manufacturers, using the same recipe is not enough to guarantee the same result.
Contact us to discover how Simularge can make your autoclave curing predictable, controllable, and optimized for both industrial-scale composite production and sectors requiring mission-critical, high-quality parts.
References:
[1] Tang, W., Xu, Y., Hui, X., & Zhang, W. (2022). “Multi-Objective Optimization of Curing Profile for Autoclave Processed Composites: Simultaneous Control of Curing Time and Process-Induced Defects.” Polymers, 14(14), 2815.
https://www.mdpi.com/2073-4360/14/14/2815
[2] Wang, Y., Tao, F., Zuo, Y., Zhang, M., & Qi, Q. (2023). “Digital-Twin-Enhanced Quality Prediction for the Composite Materials.” Engineering, 22, 211–220.
DOI: 10.1016/j.eng.2022.08.019
[3] Rusnáková, S., Grunt, M., Žaludek, M., Javořík, J., & Kotlánová, B. (2024). “Experimental Study on the Optimization of the Autoclave Curing Cycle for the Enhancement of the Mechanical Properties of Prepreg Carbon–Epoxy Laminates.” Polymers, 16(1), 47.
https://www.mdpi.com/2073-4360/16/1/47
SIMULARGE
Unlocked Hidden Data from Legacy Injection Molding Machines
See how Simularge gave legacy injection molding machines live visibility in under 2 weeks, with no hardware changes and 99% accuracy.
BEKO
How Beko saved 2M Euro every year in Thermoforming Digital Twin
See how Beko used Simularge's digital twin to reach 96% thermal accuracy, improve OEE by 20% and save €2M annually.
Digital Twin for Composite Autoclave Manufacturing
Improve composite autoclave curing with a physics-based digital twin for shorter cycles, fewer defects, and consistent part quality.
Ready to get started ?
If this challenge sounds familiar, let’s discuss how Simularge’s physics-based digital twin technology can be applied to your production environment.
