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@article{148082,
        author = {Kaneriya Deep Chandrakantbhai  and Sonwane Dhaval yogeshbhai  and Patil Prafful Rajubhai and Patel Yash Kalpeshbhai and Mr. Mitesh patel},
        title = {Effect of Tyre Overload and Inflation Pressure on Rolling Loss (resistance) and Fuel Consumption of Automobile Cars},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {250-254},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148082},
        abstract = {The effect of rolling resistance R on fuel consumption of radial passenger and Car Tyres is discussed in this project work. The model equation for the rolling loss R was directly proportional to Tyre load W (R α W) and inversely proportional to inflation pressure p (R α 1/px). These relationships were experimentally quantified. Using manufacturer’s recommended values for load W and pressure p as reference points the R values for different overload conditions (from +10 to +100%) at constant p were estimated. Similarly, the required pressure values to support 10 to 50% additional load to maintain original R were also estimated. Then the estimated R values for different overload/inflation pressure conditions were combined with the fuel saving factor F (obtained from researched literature results). Then the relative change in fuel consumption of  Car/truck Tyres for different load/pressure combinations vis-a-vis the fuel use for the manufacturer’s recommended W and p values was evaluated. The present analysis showed that for the same amount of fuel use a truck carrying a 100% overload and making one round trip would correspond to slightly more than two round trips by a Car of same size carrying the recommended load. finally, a possible method of optimizing fuel use by adjusting the Tyre load/pressure conditions was suggested. all these estimates were obtained for radial Tyres. modelling from the design of tyre is done cad software and analysis is done in Ansys software. different loading conditions are applied and conclusion is made from it by comparison on analyzed results.},
        keywords = {},
        month = {},
        }