2 publications

• Published Subscription Original Research Special issue 26 Mar 2025

  An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python

  By D. V. A. Rama Sastry, Shaikh Azharuddin Kutubuddin

  Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article →

• Published Open access Review Article Conference paper 20 Nov 2023

  A Critical Review on Semi-solid and Solid Lubricants for Industrial Applications

  By Shaikh Azharuddin Kutubuddin, D.V. A. Rama Sastry, K. Venkata Ramana

  Abstract: Friction materials are very important for the safe moving of automobiles and the safety of people. As the pad slides against its match, the moving energy is turned into heat by the friction. As the vehicle's speed is lost as heat in the pads and rotors, the friction at the contact slows it down. Lubricants are compounds that are applied to moving parts to reduce friction and wear. Used primarily …

  Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 105–114 Read article →