Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Now-a-days it is mandatory to provide the low sulfur liquid fuel due to environmental regulation by various countries for the transportation sector which is the big challenge for worldwide refineries. In present paper extractive desulfurization using ionic liquids has been discussed. It is an alternative process for the high energy intensive HDS technology for deep-desulfurization (less than 50 ppm sulfur). Various aspects of the process has been discussed such as extraction time, fuel to ionic liquid ratio, extraction mechanism, and regeneration along with process consideration.
Chromium has been widely used in various industries like textile, leather, chemical manufacture, metal finishing, paint industry and many other industries. Since hexavalent chromium is a priority toxic, mutagenic and carcinogenic chemical when present in excess, it is very much required to remove chromium from effluents before allowing it to enter any water system or on to land. In the present study, the removal of hexavalent chromium by adsorption on the Ragi husk powder as adsorbent has been investigated in the batch experiments. The agitation time, the adsorbent size, adsorbent dosage, initial chromium concentration, temperature and the effect of solution pH are studied. Adsorption mechanism is found to follow Langmuir, Freundlich and Tempkin isotherms. The adsorption behavior is described by a both pseudo first order and second order kinetics. The maximum metal uptake is found to be 43.478 mg/g. The morphology on the surface of adsorbents and also the confirmation of chromium binding on adsorbent surface at different stages were obtained by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) analysis. The results obtained in this study illustrate that Ragi husk powder is an effective and economically viable adsorbent for hexavalent chromium removal from industrial waste water.
In order to effectively remove mixed types of pollutants, including fine solids, emulsified oil and dissolved chemicals, a multi-stage loop-flow flotation column (MSTLFLO) has been developed. In this study, a numerical model was used to simulate wastewater system containing emulsified mineral oil and suspended particles (powdered activated carbon or glass beads) using the MSTLFLO flotation column. Results show that the separation efficiencies of emulsified oil and fine particles are greater than 90%. A process simulation program based on the classic tank-in-series model has been established. Experimental results for the removal of both individual and mixed components in MSTLFLO process for different authors are shown to be in excellent agreement with values predicted by the numerical simulation. The findings of this study are intended to provide an engineering design basis in exploring future applications of the MSTLFLO flotation process for industrial wastewater treatment.
The article focuses on the analytical/numerical modelling of the solute transport taking place within large rivers flowing through wide alluvial plains, and characterized by a weak bed slope, near the confluence into large reservoirs collecting water for potable or agricultural destinations. The aim of the study is represented by the analysis of the effect that the macroscopic morphological features of the channel induce on the hydrodynamic dispersion of effluents accidentally injected along its course, when a downstream obstacle can critically slow down the flow, preventing the dilution of the solutes. A recent work (Yudianto & Yuebo, 2008) has dealt with the problem resorting to a Eulerian numerical approach, and coming to the conclusion that, in the most part of the gradually varying steady flows, the adoption of a single velocity value (i.e. the corresponding uniform-flow section average) is sufficient to represent them even in terms of pollutants dispersion. Present work analyzes the dispersive properties of non uniform fluvial streams by an analytical-numerical stochastic Lagrangian approach and identifies the existence of a characteristic travel time, which is function of bed slope and width to depth ratio, beyond which the longitudinal hydrodynamic dispersion undergoes a clear and potentially dangerous regress.
The aim of this study was to assess and compare suitability of ‘quality circles’ in a variety of Engineering Colleges. Specifically, each ‘quality circle’ consisted of faculty, plus technical and support staff in the Computer Science departments. The Engineering Colleges (n=10) were randomly chosen and consisted of both government (n=2) and private colleges (n=8). The quality circle volunteers were provided with a self-report questionnaire (n=35), which was based on four divisions of: Student focus, Direction, Understanding & Accountability. To collate and classify the study, the respondent’s answers were ranked in a quantified hierarchy from True to False — typical Likert scale, and the results collated to assess the team effectiveness of each college through its quality circle.