2 publications

• Published Subscription 19 Nov 2025

  Design, Analysis, and Material Optimization of a Passenger Railway Bogie Manipulator for Enhanced Performance and Efficiency

  By Shrivatsa Shrinivas Huddar, Rajeev K. Tavildar, Gourav Vivek Kulkarni

  Abstract: Abstract The study aims to improve the design and optimize the material used in passenger railway bogie manipulators to improve their performance and efficiency. It is an essential tool in railway maintenance for lifting and relocating heavy bogie assemblies. The primary goal was to reduce overall weight and material use while maintaining structural integrity and operational reliability. After verifying the system structure, the original 70 mm screw was reduced to …

  Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article →

• Published Subscription 10 Dec 2024

  Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes

  By Gourav Vivek Kulkarni, Gopalakrishna H D, Akshath Anand Ghanti

  Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …

  Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article →