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    The investigation on stability and physicochemical properties of multi ferrites nanoparticles dispersed Tamarindus indica biodiesel
    (International Journal of Thermofluids | Elsevier, 2025-02-28) Jaikumar Sagari
    This study aims to investigate the stability and physicochemical properties of nickel and manganese doped bismuth ferrite nanoparticles (BNiFMO) in a Tamarindus indica biodiesel. The BNiFMO nanoparticles were evaluated at concentrations of 50 mg/L and 75 mg/L. In addition, the BNiFMO nanoparticles were supplemented with dispersants (Tritonx and QPAN) at different ratios, namely 1:0.25, 1:0.5, 1:0.75 and 1:1, respectively. The stability study was carried out using the principle of photo spectroscopy at three different time intervals: Week 1, 2 and 3. The stability was evaluated by transmittance and absorbance. In addition, the physicochemical properties were evaluated according to ASTM standards. The transmittance of BNiFMO nanofuel spiked with Tritonx and QPAN80 was lower compared to the base nanofuel, while the absorbance increased, indicating better stability. At lower ratios of nanoparticles and Tritonx/QPAN, stability decreased, but better stability was achieved at a 1:1 ratio. The QPAN-based nanofuel was found to be more stable overall than the base nanofuel and the Tritonx-based nanofuel. The lower transmittance and higher absorbance were noticed with B20 +BNiFMO75 mg/L +QPAN 75 mg/L, while the stability decreased slightly with increasing duration. The minimum transmittance and higher absorbance values recorded were 87.75 % and 4.42 in week 1, 89.93 % and 4.23 in week 2, and 91.21 % and 4.18 in week 3. Finally, the addition of Tritonx and QPAN to BNiFMO nanofuel led to an increase in calorific value and cetane number. The highest calorific value and cetane number recorded were 41.456 MJ/kg and 64, respectively, for the B20 +BNiFMO 75 mg/L +QPAN 75 mg/L blend. However, the kinematic viscosity and density exhibited somewhat inconsistent trends.
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    Application of Neural Network for Reducing Emission and Optimizing Performance of Hydrogen with Biofuel CI Engine
    (Machine Learning for Social Transformation | Springer, 2025-01-03) Atanu Roy, Sabyasachi Pramanik, Kalyan Mitra, Manashi Chakraborty
    Fuel selection influences internal combustion engine (ICE) performance and toxic emissions. However, predictive monitoring plays an imperative function in the validation and support of the machine. It optimizes engine running performance, reduces emissions, and increases efficiency. This study investigates the emission reduction and optimization of brake thermal efficiency (BTE) using a blended fuel—hydrogen, biofuel, and water on a one-cylinder compression ignition (CI) engine. Simulink simulations are used to collect data, which is then preprocessed and analyzed using advanced feature extraction to increase prediction accuracy. In this paper, a hybrid deep reinforcement learning, and artificial neural network (DRL-ANN) is initiated and designed to predict CI engine emission attributes. To optimize the prediction model, this method combines DRL and neural networks. As a result, the model achieved superior predictive accuracy compared with earlier approaches regarding accuracy (BTE 0.96851, CO 0.95124, HC 0.96624), mean-squared errors (BTE 0.00018, CO 0.00058, HC 0.00055) and R2 (BTE 0.95478, CO 0.94694, HC 0.97015). This study demonstrated the prediction model's efficacy in optimizing CI engine running characteristics and fuel types.
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    Impact of Tamarindus Indica biodiesel blends on performance and exhaustemissions characteristics of light duty compression ignitionengine
    (Materials Today: Proceedings, 2021) Jayashri N Nair; Satyanarayana Murthy, Y.V.V.
    Tamarind (Tamarindus Indica) is an integral part of South Indian cuisine. Its pulp is used to add sourness to southIndian curries. However tamarind seeds which are having a considerable amount of lipid in it are thrown away. Ourmain objective is to produce Tamarind biodiesel (TB) from tamarind seed oil and investigate its effect onperformance and exhaust emissionsof CI engine. Oil was extracted from Tamarind seeds and was converted to biodiesel by transesterification process with NaOH as catalyst. Tests were performed using TB5, TB10, TB15 blendswith 1500 rpm rated speed and compression ratio of18. The performance test results revealed that BTE of B15 wasgreater in comparison to other blends as well as diesel . However BSFC for TB blends were greater compared to neat diesel . Considerable reductions in exhaust emissions were observed with TB blends. TB10 showed apical reductionof 27% in CO and 15% reduction in smoke. TB5 showed 25% HC reduction followed by TB10 with 19.25% reductions.TB15 showed 19.36% of highest NOx reduction followed by TB10 with 10.7% NOx reduction. TB10 proved to giveoptimum test results for performance and emissions. From the results it can be concluded that TB can be consideredas a viable option for biodiesels.