Performance and emission analysis on palm oil derived biodiesel coupled with Aluminum oxide nanoparticles

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

“…The results predicted by fuzzy optimized models (ANFIS, ANFIS-GA, and ANFIS-HSA) were compared with the original experimental values on the basis of regression methods such as root-mean-square error (RMSE) and fraction of variance R 2 . The accuracy of the predictive model was validated by considering the regression formulas like RMSE and R 2 .…”

“…Diminishing oil reserves, escalating crude oil prices, and the ecological impact of conventional fuel utilization in engines have motivated researchers to discover feasible energy sources with a cleaner carbon footprint. , Besides the above problems, the transport-related zone, which is often considered an imminent player in the development of the economy of a nation, is often seen struggling when completely dependent on fossil resources . The ever-increasing population has put surplus load on the existing crude oil resources, which are estimated to deplete before their allotted time period .…”

An Experimental Assessment of Combustion, Emissions, and Performance Behavior of Diesel Engine Fuelled With New Developed Biofuel Blend of Two Distinct Waste Cooking Oils and Metallic Nano-particle (Al2O3)

“…It is additionally seen that the addition of CeO 2 and MgO nanoparticles in WCO biodiesel fuel lessens specific fuel consumption when it is contrasted and that of unadulterated diesel, inferable from the decrease in ignition delay and expanded surface-to-volume proportion which gives better ignition and less utilization of fuel [32]. Nanoparticle options do diminish the general energy consumption yet may contrast dependent on the sort of nanoparticle added [33]. The decreased SFC is seen with the increase in load because further developed combustion nature of fuel as engine load increments [34].…”

Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

“…Because, the trade organisations satisfies consumer need and communicates real data with traders for future prediction, it has been regarded as the most important actor in the SC [ 12 , 38 ]. Despite the fact that retailers are an important stakeholder in SC [ 18 ], research on the epidemic breakout and the retail business is sparse [ 16 ].…”

“…In developing countries with technology and network connectivity issues, food supply was the worst hit during the COVID-19 pandemic probably due to unstable availability of resources, thereby causing a state of panic [ 7 ]. The eruption of this pandemic was described as a unique supply management hazard that is likely to persist for a prolonged period, spread with significant unpredictability, and have an impact on logistical infrastructure [ [8] , [9] , [10] , [11] , [12] ]. Multiple researches in the past have explored the applications of technology in managing supply chain achieving utmost success [ 13 ].…”