AI DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR MULTI-SENSOR INDUSTRIAL ROBOTS IN SMART MANUFACTURING
Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...
By Priya Vij, Ashu Nayak
ARTIFICIAL INTELLIGENCE FOR OPTIMIZING ENERGY SYSTEMS IN SMART GRID ENVIRONMENTS
Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...
By Priya Vij, Ashu Nayak
MULTI-OBJECTIVE TOPOLOGY OPTIMIZATION OF 3D PRINTED LATTICE STRUCTURES FOR LIGHTWEIGHT AUTOMOTIVE COMPONENTS
The automotive industry is increasingly focused on developing lightweight, fuel-efficient, and structurally robust components to meet stringent performance and sustainability requirements. Additively manufactured lattice structures have emerged as a promising solution due to their high strength-to-weight ratio, energy absorption capability, and geo...
By Sapna Bawankar, Priya Vij