flight Solutions for Aerospace

Adressing challenges

in the Aerospace industry

The aerospace industry faces significant challenges when it comes to balancing safety, costs and performance. Aerospace sector is well known for being one of the most rigorous and regulated market. Engineering activities deal with highly complex systems sometimes operating in extreme conditions, all within a demanding regulatory environment. As a result, companies must be at the forefront of innovative engineering methods and use cutting-edge software solutions to perform trade-off analysis in high-dimensional spaces.

pSeven products providing collaborative engineering capabilities, process automation, design space exploration and predictive modelling tools, enable multidisciplinary studies and rapid identification of optimal designs along with knowledge capturing and sharing at scale. These capabilities help aerospace companies overcome challenges and guide the industry toward a more efficient and sustainable future.

Balance performance
and regulations compliance

Concept stage

• Combine different models and data sources.
• Involve multiple physics.
• Estimate the impact of uncertainties.
• Run trade-offs studies.
• Optimize early in the design process.

Design stage

• Build fast ROM models using ML/AI to predict product behaviour in various conditions.

Democratize simulation
and improve collaboration

• Implement scalable methodologies: share simulation methodologies with other users across and outside of organization in a form of workflow-powered web apps.
• Improve collaboration within and between the teams with simultaneous multi-user access and co-authoring of the workflows in real-time.

Manage complexity
and digital transformation

• Automate multidisciplinary engineering workflows and repetitive simulations.
• Boost PLM / SPDM systems with enhanced simulation workflow execution.
• Capture knowledge from vast amounts of data from simulations and experiments.
• Reuse engineering data.
• Ensure production, deployment, management of Digital Twins at scale.

Predict product behaviour

and capture knowlege from data with fast ML models

AI and ML are revolutionizing the aerospace industry across various domains. They provide insights into the data by discovering new patterns and relations. pSeven solutions are delivered with predictive modeling capabilities – algorithms and techniques aimed to predict response values for new designs, accelerate complex simulations and capture knowledge from vast amounts of data. It covers: Machine Learning/AI oriented towards the most demanding engineering disciplines (CFD, Crash, highly nonlinear physics), single- and multi-objective optimization, potentially under uncertainty, and SmartSelection technology - automatic and adaptive algorithm selection and tuning for beginners.

The platform ensures the production, deployment and management of digital twins at scale. pSeven Enterprise allows to assemble hybrid Digital Twins based on both predictive (ML) models trained on experimental data and simulation results. In addition, advanced optimization techniques provide more flexibility in the life cycle of the Digital Twin (calibration, uncertainty management, conditional behavior, fidelity adjustment etc.).

Embrace digital transformation

with collaborative engineering and accelerated SPDM adoption

Faced with pressure to deliver more sustainable and efficient aircraft quickly, aerospace companies are embracing digital transformation. One of the challenges here are complex and outdated systems that can be difficult to integrate with newer digital ecosystems. SPDM systems are one of the drivers of digital transformation in aerospace as they improve collaboration across teams and streamline engineering workflows. Still, according to NAFEMS, the adoption of SPDM systems by simulation engineers is very low, at 1%-2%. One of the reasons is that it is very difficult for an SPDM system to establish a direct connection to the entire engineering software ecosystem that engineers, coming from all disciplines, used throughout the product development cycle.

Leveraging pSeven’s process modeling and integration framework accelerates SPDM deployment. It is able to remove the traditional technology lock of these SPDM platforms in terms of interoperability with engineering applications. It encapsulates hundreds of applications and micro-services in standard blocks and becomes a kind of universal connection to these applications for the SPDM platform.

Related publications

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