Krishna Meruva

Indiana University – Purdue University Fort Wayne

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About

Dr. Krishna Meruva is a researcher whose work lies at the critical intersection of robotics, industrial automation, and materials reliability. His primary research focus is on the fatigue life and wear modeling of essential robotic components, particularly linear actuators—the mechanical "muscles" that drive countless automated systems. Dr. Meruva’s major contribution is the development of predictive models that account for the complex interplay of factors—such as variable loads, lubrication conditions, and material properties—that determine a component’s lifespan. His most cited work, "Modeling and prediction of fatigue life of robotic components in intelligent manufacturing" (2016, 16 citations), provides a foundational framework for anticipating failure in high-stakes manufacturing environments. This is complemented by his study on "Fatigue life modeling of linear actuators in robotics and automation" (2016, 3 citations), which deepens the understanding of how wear mechanisms specifically affect these critical parts. By enabling more accurate predictions of component failure, Dr. Meruva’s research directly supports the design of more durable, reliable, and cost-effective robotic systems, making his work essential reading for engineers and researchers striving to advance the longevity and efficiency of intelligent manufacturing.