Build and deploy digital twins of aerospace manufacturing processes
Basetwo provides a complete process engineering solution that integrates data pipelining, model simulation, economic optimization, and quality control into a single low-code platform.See our platform
From additive manufacturing to composite fabrication, aerospace manufacturers rely on the fundamentals of material science and engineering to achieve consistent product quality. However, manufacturing operations are often complex, making optimization challenging:
Heterogeneous material quality
Complex multi-step reaction dynamics
Noisy or sparse sensor information
AM processes (powder bed fusion, laser metal deposition) can be complex and time consuming to achieve thermally stable process conditions and defect-free production.
With Basetwo, companies can connect to several data sources and leverage ML to simulate process parameters impacting geometry and porosity and mitigate conditions leading to irregularities, discontinuities, and distortion.
This ultimately enables AM engineers to improve buy-to-fly ratios, reduce lead times for qualification, and improve material properties.
Advanced Composite Fabrication
Control and optimization of composite fabrication processes is known to be challenging. The temperature response during curing is dependent on many process variables including resin kinetics, carbon thickness and physical properties, tooling thickness, and autoclave properties.
With Basetwo, manufacturers can accurately predict material properties as a function of composition and heat treatment to meet design specifications, as well as simulate and optimize processes like AFP/ATL, autoclave curing, and forming. Ultimately, manufacturers can expect to optimize Carbon Fibre Reinforced Plastic (CFRP) manufacturing cycle time by 20+%.
Maintenance, Repair & Overhaul
Identifying patterns, anomalies, and faults, with acceptable levels of accuracy and reliability is critical for determining appropriate actions for aircraft maintenance, repair, and overhaul.
With Basetwo, companies can connect to several data sources (i.e., structural health, flight data, maintenance records) and leverage ML to simulate the impact of operational parameters on aircraft equipment health.
This ultimately enables engineers to improve repair cycle management (RCM) efficiencies, reduce operational costs, improve component availability, capture warranty claims, and ensure competitive pricing for services.
Aerospace Supply Chains
Basetwo can also be applied for scheduling, maintenance, and scenario analyses in aerospace supply chains. This involves:
Connecting automated manufacturing equipment to inform smarter decisions about equipment use and streamline MRO activities
Event simulation that has the capability to model the factory from goods in to goods out in real time and provide transparency into production
Responding to challenges such as how to incorporate recycled feedstock or debottlenecking processes