Investigation of the Performance and Emission Characteristics of Ceiba Pentandra Biodiesel Blends in a Variable Compression Ratio Engine

In the current scenario, the production of biodiesel from non-edible oil is a promising way to overcome the problems associated with the energy crisis and environmental issues. In this research, non-edible biodiesel blends of B10, B20, B30, B40, and B100 methyl esters of Ceiba pentandra oil with standard diesel fuel are used to investigate the performance, combustion and emission characteristics of a variable compression ratio engine at different load conditions compared to diesel. The compression ratios 16.5:1, 17.5:1, 18.5:1 are employed in a 1500 rpm constant speed, single-cylinder with a variable compression ratio, direct injection, four-stroke diesel engine for experimental investigation. Performance and combustion characteristics such as brake specific energy consumption, brake thermal efficiency, net heat release rate and emission characteristics such as carbon monoxide, carbon dioxide, hydrocarbons and oxides of nitrogen are investigated. The biodiesel blend B10 and B20 showed optimal performance with fewer emissions

Design and Analysis of an Agriculture Solar Panel Support Structure with Tilting Mechanisms.

The requirements for solar water pumping system in the agriculture are increased day by day. The performance of the solar electrical power generating system entirely depends on the structural stability of the supporting system. In this paper, an eight-panel solar supporting system is designed and analyzed for its structural efficiency for the high wind loads. The finite-element-based structural analysis is performed using the software package for different tilt positions through tilting mechanism used for everyday application and for the seasonal variation of the sun rays’ direction. Quadrilateral and triangular beam elements are used for the mesh generation of the support structure, and the CBUSH and RBE2 are used to model the bolt joints. The wind load is applied as pressure, and the self-weight of the solar panel is applied as a lumped mass and transferred to the main structure through rigid element. The static analysis is performed for the wind loads for the three tilting positions. The results are conforming that the main structural stresses and deformations are within the limits

Characterization Studies of Natural Cellulosic Fibers Extracted from Shwetark Stem

The present investigation is mainly aimed to characterize the cellulosic fibers extracted from the stem of Shwetark plant to test its possibility to be used as polymeric reinforcement. Chemical analysis conducted on the Shwetark fibers shows the presence of cellulose (69.65 wt. %), lignin (16.82 wt. %), wax (0.53 wt. %), ash (3.4 wt. %) and wetness content (8.8 wt. %). The density of the fibers is found as 1.364 g/cm3. Crystallinity index and the crystallite size of the fibers are calculated as 72.06% and 3nm, respectively, from X-ray diffraction analysis while the presence of functional groups is ascertained from Fourier transform infrared analysis. Thermogravimetric analysis shows that the fibers are thermally stable till 225°C, and the fiber morphology seen through scanning electron microscopic shows that the fibers are composed of densely and uniformly packed cellulose microfibrils. Atomic force microscopic studies exemplify that Shwetark fibers can be used for tribological applications. The mean tensile strength and percentage elongation of the Shwetark fibers are found as 309.68 MPa and 1.092%, respectively. Thus, the studies show the possibility of Shwetark fibers as prospective candidates to replace harmful synthetic man-made fibers

Multi-Layered Non-Local Bayes Model for Lung Cancer Early Diagnosis Prediction with the Internet of Medical Things

The Internet of Things (IoT) has been influential in predicting major diseases in current practice. The deep learning (DL) technique is vital in monitoring and controlling the functioning of the healthcare system and ensuring an effective decision-making process. In this study, we aimed to develop a framework implementing the IoT and DL to identify lung cancer. The accurate and efficient prediction of disease is a challenging task. The proposed model deploys a DL process with a multi-layered non-local Bayes (NL Bayes) model to manage the process of early diagnosis. The Internet of Medical Things (IoMT) could be useful in determining factors that could enable the effective sorting of quality values through the use of sensors and image processing techniques. We studied the proposed model by analyzing its results with regard to specific attributes such as accuracy, quality, and system process efficiency. In this study, we aimed to overcome problems in the existing process through the practical results of a computational comparison process. The proposed model provided a low error rate (2%, 5%) and an increase in the number of instance values. The experimental results led us to conclude that the proposed model can make predictions based on images with high sensitivity and better precision values compared to other specific results. The proposed model achieved the expected accuracy (81%, 95%), the expected specificity (80%, 98%), and the expected sensitivity (80%, 99%). This model is adequate for real-time health monitoring systems in the prediction of lung cancer and can enable effective decision-making with the use of DL techniques

Comparison of vermiwash and vermicompost tea properties produced from different organic beds under greenhouse conditions

Abstract Purpose Using different organic beds to produce vermicompost may influence on quality of vermicompost and its derived productions. Methods A greenhouse experiment was conducted to compare the properties of vermicompost, vermiwash and vermicompost tea obtained from three types of organic beds consisted of cow manure, leaf meal and a combination of cow manure and leaf meal (1:1 w/w). Results Cow manure vermicompost had more desirable effect on many measured traits toward leaf meal and combination of leaf meal and cow manure vermicomposts. Vermicompost tea obtained from three vermicompost types was richer in terms of macro and micro nutrients, C/N, percent of organic matter and organic carbon toward the vermiwash produced from the same vermicompost. Vermiwash and vermicompost tea produced from cow manure vermicompost were at first order in majority of measured traits toward others. Conclusions Generally vermicompost which was richer in nutrient concentrations affected intensively quality of vermiwash and vermicompost tea produced from it