dea86266-984f-4c9e-a3b4-7259ce99b43620251118072631877wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON FLUID MECHANICS2224-347X1790-508710.37394/232013http://wseas.org/wseas/cms.action?id=4036130202513020252010.37394/232013.2025.20https://wseas.com/journals/fluids/2025.phpKaushalKumarDepartment of Mechanical Engineering, KR Mangalam University, Gurugram, INDIAParamvirYadavDepartment of Mechanical Engineering, KR Mangalam University, Gurugram, INDIADeekshantVarshneyDivision of Research & Innovation, Uttaranchal University, Dehradun, INDIAPrawarPrawarSchool of Basics and Applied Sciences, KR Mangalam University, Gurugram, INDIAChintanSinghAmity Institute of Forensic Sciences, Amity University Noida, Uttar Pradesh, INDIASubhavSinghChitkara Centre of Research and Development, Chitkara University, Himachal Predesh-174103, INDIAThe existing research investigates the comparative behavior of circumferential pressure distribution in a hydrodynamic journal bearing operating at rotational speeds of 250, 500, and 750 RPM under varying loads of 0, 0.25, and 0.50 kg for all 360o. Experimental analysis was conducted using SAE 15W30 lubricant to evaluate the influence of operating parameters on pressure distribution characteristics. Results reveal that rotational speed exerts a more dominant influence on pressure development compared to load, with the highest pressure observed at 750 RPM. The maximum fluid film pressure consistently occurred between 120° and 150°, located within the converging wedge region (90°–270°) where the lubricant film thickness is minimal. The study confirms that increasing load enhances the bearing’s peak pressure and load-carrying capacity, while higher speeds improve hydrodynamic pressure generation and lubrication performance. ANOVA analysis further validates these findings, indicating that Angle is the most influential parameter, followed by Speed and Load, all with statistically significant effects (p < 0.05). The strong effect sizes confirm the robustness of the experimental model and the reliability of the observed results.111820251118202513915014https://wseas.com/journals/fluids/2025/a285113-013(2025).pdf10.37394/232013.2025.20.14https://wseas.com/journals/fluids/2025/a285113-013(2025).pdf10.1115/1.859940.paper24J. Zhou, “Pressure Distribution Analysis of Hydrodynamic Journal Bearing using Artificial Neural Network,” in International Conference on Computer and Automation Engineering, 4th (ICCAE 2012), 2012. doi: 10.1115/1.859940.paper24. 10.1080/23311916.2023.2213537M. Tauviqirrahman et al., “CFD analysis of hydrodynamic journal bearing with Bingham plastic lubricant considering roughness,” Cogent Eng, vol. 10, no. 1, 2023, doi: 10.1080/23311916.2023.2213537. 10.51976/ijari.211429P. Kumar and A. K. Gupta, “Experimental Investigation on Hydrodynamic Journal Bearing using SAE 10W30 Multi Grade Oil,” International Journal of Advance Research and Innovation, vol. 2, no. 1, 2014. Q. Zhou, Y. 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