Model Based Engineering

Digital tools, methodologies and system engineering principles are the foundation of Model Based Engineering, enabling better collaboration, design automation and increased design space exploration.

Utilising an Model Based Engineering to design in a digital environment provides greater agility to reduce the productivity gap and allows for a collaborative approach.

Improving product development with Model Based Engineering

Combining Model Based Engineering with CFMS’ other digital engineering services, including High Performance Computing (HPC) and cloud technologies, Advanced Simulation and Artificial Intelligence (AI), our integrated digital engineering team showcase the advantages that document-based systems engineering cannot provide.

In a recent project, CFMS used Model Based Engineering and design automation techniques to generate thousands of design options and a set of candidate optimal solutions for a new construction project; meaning that a process that would normally have taken months was reduced to days.

Using Model Based Engineering services, our specialists have been working with GKN Aerospace, Siemens, Sheffield University and the Advanced Manufacturing Research Centre (AMRC) on an Innovate UK project connecting an industrial aerospace additive manufacturing cell to the CFMS data centre. Our aim is to construct a live digital twin of the cell to predict and track the manufacturing process, enabling a consistent, high quality additive manufactured part.

Digital twin technology has the potential to improve in-service performance, maintenance and repair, by providing improved efficiency through the end-to-end design process, and greater traceability diagnosing issues as they occur.

Optimised Manufacturing

Today, physical prototyping, extensive trials and continued human monitoring are still generally needed to determine the optimum process parameters. Through IoT devices data can now be captured in a far more efficient manner but the utilisation of this rich information source is still in its infancy for many companies. Unfortunately, much of this technology is perceived to be beyond the reach of lower tiers of the supply chain due to the costs involved or available skills.

CFMS is working to address this imbalance by investigating low cost solutions to capture and analyse manufacturing data whilst dealing with the many associated practical operational technology issues.

To avoid lengthy, wasteful and expensive physical trials, CFMS have been working within the APC supported Tucana project and ATI funded COSINC projects to improve the accuracy and accessibility to new means of simulation. Low cost, open source, multi-physics tools that have the potential to make a step change in performance and be made more readily available are being investigated to improve the level of digitalisation across critical industries for the UK.

Our technical skills and capabilities in Model Based Engineering include:

Systems Architecture Design

Toggle Content Driven by customer requirements, conceptual models can be rapidly generated and evaluated to find the optimum solution.

Requirements Engineering

CFMS works closely with their customers to formally establish a robust set of requirements, the foundation of any engineering activity.

Design Trade Studies

Using the power of our computational facilities CFMS can rapidly evaluate thousands of conceptual designs to establish those that meet customer needs.

Value Engineering

Our engineering analysis not only ensures solutions meet functionality and sustainability requirements but they are affordable for the customer.

Optimisation Methods and Applications

CFMS invests heavily in research to improve design methods, enhance engineering productivity and embed learning across industrial sectors.

Software Engineering

We use our software expertise to improve the computational performance and cost effectiveness of all engineering activities undertaken.

Mathematical Modelling

All simulations are mathematical representations of their physical counterpart, so this is the foundation from which all CFMS activities are undertaken.

Uncertainty Quantification

Any engineering design inherently possesses some uncertainty, CFMS works with customers to understand the scale of this risk and how to mitigate it.

Model Based Systems Engineering

Mathematical models enable CFMS to build virtual representations of new products and processes reducing the need for expensive physical prototypes.

Through Life Engineering

CFMS helps customers to enhance the performance and profitability across the life of a product from conception to end of life disposal.

Generative Design

CFMS automates the process of finding the most appropriate design for a given task by computationally evaluating all of the potential solutions for a given problem.

More information on our technical skills and capabilities in MBE can be found in our case studies, or to discuss your engineering challenges, please contact us.

RelatedMBE projects

Composite NDT

A leading UK tier 1 aerospace supplier required digital engineering expertise within their project which is aiming to develop and accelerate composite material…


CFMS, alongside GKN Aerospace, is working to deliver a £19 million AIRLIFT Additive Manufacturing (AM) programme to create a tool that can predict…


HS2 is helping to change the face of British industry and is a great opportunity to drive new digital ideas and skills. Digital…

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Our other services

CFMS creates new design methods and methodologies and offers extensive digital engineering services, consultancy and facilities to assist businesses of all sizes in understanding and exploiting digital technologies.

Advanced Simulation

Advanced Simulation to explore the details of physical phenomena through a digital model.

Engineering Computing Services

Engineering Computing Services to provide a platform that enables organisations to collaborate and connect.

Robotics and Autonomous Systems

Providing a collaborative environment and enabling technologies for next generation robotics and autonomous systems (RAS) development.

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