Buffalo, New York – January 18, 2020 – Join the live webinar “Digital Twins to Ensure FVL MFOP Requirements and Soldier Readiness” on Wednesday, January 20 10:30 EST – 15:30 GMT/UTC.
Jason Rios, SVP – GM Aerospace Operations will be one of the panelists at the Digital Transformation in Defence Webinar Series which will be hosted by Defence IQ. This live session will be focusing on specific use cases of digital technologies. The panelists also including leaders from Bell Flight, Lewis Aviation and Dell Federal will discuss specific details at using Digital Twins to Ensure FVL MFOP Requirements and Soldier Readiness.
Digital Twins are a broad category and this seminar looks at the specific use case in future vertical lift (FVL) – and how digital twins can help meet Maintenance Free Operating Period (MFOP) requirements and ensure soldier readiness.
With panelists representing the military perspective, OEMs, and the digital infrastructure the discussion aims to address what digital twins can do for you. We will cover their role in a value-based acquisition strategy, and how they can make the task of maintainers easier. Digital Twins are not the goal, predictive maintenance is.
Discussion will cover:
- Describe your definition of Digital Twin
- What role will Digital Twins play in future predictive maintenance programs?
- What are the key challenges in developing and implementing digital twins for aerospace?
- Are there emerging technologies that seem to be well-positioned to advance the digital twin’s ability to contribute to predictive maintenance?
- What is required to implement digital twins at scale for enterprise-level sustainment solutions?
Please click here to register for the webinar.
About Sentient Science
Sentient Science Corporation provides digital twin technology to predict the life of mechanical systems. Sentient’s DigitalClone® SaaS solutions use proprietary physics-based modeling and machine learning AI to unlock insights that lower the costs of designing, operating, and sustaining high value assets. This visibility also helps customers optimize parts inventories and increase profitability. Furthermore, Sentient Science offers professional scientific services that enable us to partner with customer experts in industries such as Wind Energy, Aerospace, and Rail to develop cost optimized life extension actions.
Sentient Science is a leader in prognostic solutions with one patent awarded in 2019 for physics-based life prediction and six additional patents pending. Sentient has won more than $22 million in SBIR/STTR funding from the U.S. Government – with agencies including Dept of Energy, Dept of Defense, and NASA. The technology has been recognized by the SBIR program with the 2014 Tibbetts Award, by Bloomberg as New Energy Pioneer Award in 2016, and Frost & Sullivan in 2017 with the New Product Innovations Award for Wind Prognostics.
DigitalClone has 4 Product Offerings:
DC-E DigitalClone for Engineering (DC-E) – a physics-based patented SaaS design solution to model drivetrains and predict individual component life under real-world operating conditions. DC-E delivers a unified workflow for a multiscale analysis from system level to component level through microstructure modeling in a single software package. Customers using this technology have achieved up to 35% cost savings and 65% schedule compression for drive system development programs.
DigitalClone for Wind Operations and Maintenance (DC-OM) – an AI/ML based digital twin SaaS that detects damage based on the current “as maintained” configuration of a wind turbine in operation. DCOM provides a holistic view of the health and remaining useful life (RUL) of an asset’s critical systems and identifies components that may be operating with damage. This enables asset-level health risk assessments that support predictive maintenance programs to reduce O&M costs and extend asset life.
DigitalClone for Rail Maintenance (DC-RM) – a physics-based SaaS scenario planning tool to compare and select best rail maintenance actions based on rail life extension and financial return on investment. DC-RM provides railroads with “Precision Scheduled Maintenance” to maximize the utilization of the rail asset and optimize capital efficiency over the lifecycle.
DigitalClone for Additive Manufacturing (DC-AM) – a multi-scale and multi-physics SaaS model to computationally assess quality and performance of additive manufacturing built-parts. DC-AM uniquely links the process, microstructure and fatigue to provide design and computational testing. Customers indicate that DC-AM can reduce iterations for design optimization by 75% and decrease cost for AM part qualification by up to 50%.
DigitalClone is a registered trademark of Sentient Science