Physics. Digitalization. Life Extension.

DigitalClone® Software predicts the short and long-term failure rates of mechanical systems like wind turbines, rotorcraft & rail to identify life extension actions that reduce cost.

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DC-AM

DC-AM

for Additive Manufacturing

DC-E

DC-E

for Engineering
DC-OM

DC-OM

for Wind Operations & Maintenance
DC-RM

DC-RM

for Rail

for Additive Manufacturing

    DC-AM is a physics-based ICME platform that links process-microstructure-fatigue performance for metal additive manufacturing that virtually examines AM parts at microscale level, including grain size, grain morphology, porosity. Customers indicate that DC-AM can reduce iterations for design optimization by 75% and decrease cost for AM part qualification by up to 50%.

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for Engineering

    DC-E is a multi-body dynamics digital twin that uses physics-based models to make statistical life predictions of drive train components. It is the world’s only integrated solution from system modeling to bearing and gear detailed analysis to simulation-based component life prediction. No other solution incorporates microstructure-based life predictions. Customers using this technology have achieved up to 35% cost savings and 65% schedule compression for drive system development programs.

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for Wind Operations & Maintenance

    DC-OM is a digital twin of two major individual turbine major components at scale, gearbox and main bearing, using machine learning to deliver health prediction capability superior to CMS. A unique orchestration functionality is under development to host 3rd party health prediction models for other individual turbine major components at scale such as blades, towers, hub, etc. to provide a holistic management of a wind turbine.

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for Rail Operations & Maintenance

    DC-RM is a new product category of "Precise Maintenance” tools to enable railroads to determine their best rail maintenance scenarios, including grinding, rail profiling, load allocation etc. . Sentient is the first company to commercialize a proprietary precise physics-based model with proprietary rail simulation to enable "What If" scenarios for rail applications; its life extension simulator enables railroads to make data-based budgeting decisions. DC-RM is integrated with the North American renown Rail Vehicle and Track Optimization (RVTO) program from NRC’s Data Analytics Centre.

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DigitalClone Uses Physics to Predict the Life of Major and Minor Components for Life Extension

DigitalClone predicts the life of complex rotating equipment. The software builds materials-based models and simulates how the unique loading conditions and operational events impact the long-term reliability of the major systems and critical components. Both operators and suppliers in the electrification and transportation markets use the software for its materials science-based computational testing.


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