Prevent costly downtime with a clearer view of what’s ahead.
Overview
From railcars to mining equipment to heavy-duty drive systems, industrial assets endure constant mechanical stress. Small material defects, repeated loading cycles, and suboptimal design decisions can all add up to early failure—unless you catch them first.
DigitalClone® gives OEMs and operators a way to predict how components will wear, degrade, and fail over time. It connects physics-based fatigue modeling with real-world conditions to help teams design smarter, maintain better, and extend the useful life of critical systems.
Resilience for the relentless.
Industrial components often operate in punishing environments where in-field data is hard to collect and failures carry steep costs. DigitalClone® uses virtual modeling to anticipate issues long before they appear in operation. It simulates gear, bearing, and drivetrain performance under a range of mechanical and environmental loads.
Equipped with actionable insights, teams can run sensitivity and trade-off studies to optimize their bill of materials, reduce overengineering, and shift from reactive maintenance to forward-looking reliability programs.
DC-E
Links system-level modeling to gear and bearing analysis with microstructure-based life predictions. Used to perform trade-off and design-sensitivity studies, assist with part qualification, and conduct RCAs for early failures.
DC-AM
Simulates microstructure and fatigue behavior for AM-built parts to support qualification and reduce test iterations.
Establish a lifecycle advantage.
Development and production cycles in industrial sectors are often long and costly. DigitalClone® accelerates both by replacing extended physical testing with validated virtual modeling. Evaluate design alternatives, qualify new materials, and forecast maintenance needs—all before investing in tooling or field deployment.
Key Applications:
Rail & Rolling Stock – Model bearing and gear lifecycle to optimize maintenance intervals and reduce service disruptions.
Mining Equipment – Simulate drivetrain and rotating machinery behavior under heavy loads to extend component life.
Heavy-Duty Vehicles – Predict wear and fatigue across drivetrains to improve reliability in demanding environments.
Rotating Machinery – Evaluate designs and materials for industrial drive systems before physical testing.
