Performance, combustion and emission reduction characteristics of Metal-based silicon dioxide nanoparticle additives included in ternary fuel (diesel-SMME-iso butanol) on diesel engine.

Biodiesel has long been recognized as a viable alternative energy source. In order to enhance the quality, and performance of biodiesel-diesel fuel blends while reducing air pollution from combustion, additives must be employed. The present research aims to focus on the addition of SiO2 novel nanoparticles (at a concentration of 30, 60, and 90 mg/L) in the ternary fuel (TF) blend (75% of Diesel+ 15% of Sea Mango Methyl Ester (SMME15) + 10% of iso-Butanol on a volume basis) to determine engine performance, combustion, and emission characteristics of a 1-cylinder, direct injection, liquid-cooled, diesel engine. In addition to this, a stability analysis for the prepared samples was also carried out as per the ASTM standard. From the investigation, it was observed that, when the nanoparticles mixed with ternary fuel (i.e., TFSi60), the brake thermal efficiency (BTE), In-cylinder pressure (ICP), and net heat release rate (NHRR) were improved by about 10.09, 17.4, and 10.73 % respectively. Whereas the brake-specific fuel consumption (BSFC) (19.13%) and hazardous pollutants like carbon monoxide (CO) (20.06%), unburnt hydrocarbons (UHC) (13.9%), nitrogen oxides (NOx) (11.3%), and smoke (11.2%) were significantly decreased. From the above observations, it is concluded that using a ternary fuel blend with nano additives improves engine performance and combustion while lowering toxic emissions.

Dataset of manual metal arc welded heterogeneous thin steel plates AISI1018 AND AISI4340.

Advancement in technology demands the joining of heterogeneous metals of low and high-carbon steel grades. In this investigation, AISI1018 low and AIS4340 medium carbon steels were welded to form a heterogeneous thin metal joint using the Manual Metal Arc Welding (MMAW) method. Experimental variations of welding current, electrode position, and weld orientation are selected as the MMAW parameters. The trials are planned using the Full Factorial Design (FFD) and the trial results are analysed using Analysis of Variance (ANOVA) and regression methods. A computerized tensile testing machine (TM2101N) was used to test the tensile strength of the welded specimens that were prepared in accordance with the ASTM E646 - 98 standards. The prediction model for tensile strength was generated based on regression analysis. The ANOVA and prediction model helped in studying the effect of the MMAW parameters.

Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown.

This academic research explicit the data-set of academic difficulties among different age groups of students studying in various schools, colleges or Universities during the COVID-19 induced lockdown. The western part of Uganda comprises 26 districts and the survey was conducted in those regions employing a simple random sampling technique. The dataset is descriptive and an aggregate of 405 students participated in this survey. Among that, 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey was started in April 2020 and data were collected till June 2020. A statistical run was made with the aid of SPSS version 20 software to evaluate the significance level (P-Value<0.05) of each question among the localities.

Survey on general awareness, mental state and academic difficulties among students due to COVID-19 outbreak in the western regions of Uganda.

This academic research is carried out to access the general awareness, mental state and academic difficulties among different age groups of students studying in various schools, colleges, or Universities during this lockdown period due to the COVID-19 crisis in the western regions of Uganda. An aggregate of 405 students participated in this survey. Among them 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey is classified into three sections: the first section spotlights the perceptive level of students about the COVID-19 crisis, the second section emphasizes the mental state of students and the final section highlights the academic difficulties faced by the students during this lockdown period. A statistical run is deliberated with the aid of SPSS version 20 software to evaluate the significance level (P-Value<0.05) of each question among the localities.

Data-set collected during turning operation of AISI 1045 alloy steel with green cutting fluids in near dry condition.

This work is to explicate the data collected during the turning of AISI 1045 alloy steel components in near dry condition with emulsified cutting fluids prepared from cooking oils such as Palm oil and Peanut oil. The base oils are tested for its relative density, viscosity and flash point following ASTM standards. Highly influencing turning factors are identified and the experiments are planned and arranged using Taguchi's L27(35) orthogonal array, the experiments are repeated to reduce the errors. The quality aspect of machined components and the machining interface temperature is observed as the outcomes. The prediction models are created for the experiments through regression analysis.