A Comparative Thermodynamic Analysis of Organic Rankine Cycles (ORC) and Kalina Cycle for Low-Grade Energy Resources
Exergy Efficiency and Exergy Destruction Assessment of Heat Transfer and Fluid Flow through Spiral Passages using Source-Sink Model
Innovative Approach: Empowering Contextual Consulting in Industry 4.0 through a Hybrid Data Analytics Framework
Study of Corrosion and its Preventive Measures
Green Hydrogen Feasibility in Oman
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
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
Development and Performance Evaluation of Magnetic Abrasive Finishing Setup for Thick Cylinders
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
Energy use is the basic criterion for the development of a country. India is a vast country and its electricity demand is high. But the per capita consumption is low which reflects its demand shortage and pushes it to a world rank of 156 in electricity utilization. This demand, however, could be met if the available renewable resources had been utilized properly. Sometimes it is thought that India’s government policy for wind power is not up to par and India lags behind. If this is the trend, then other countries will surpass India in wind power growth and it will never become a wind superpower. Thus, the aim of this paper is to review India’s wind power growth in comparison to other countries of the world.
Harmonic Wave propagation in an infinite pyroelectric sandwich plate (SWP) is analyzed for three dimensional motions. The sandwich plate is made up of two identical layer of class 6 bonded together by a Linear Elastic Material with Voids (LEMV). The exact frequency equation for wave propagating at an arbitrary angle of propagation is derived when the surfaces of the plates are traction free and completely coated with electrodes that are shorted and thermally insulated. Numerical results in the form of data and dispersion curves for the symmetric and asymmetric modes of vibrations of the SWP ceramic-1/Adhesive/ceramic-2 by taking adherent as BaTio3 and the adhesive as an existing Carbon Fibre Reinforced Polymer (CFRP) or as a hypothetical LEMV with and without voids are compared with that of a single layered pyroelectric plate. The damping effect is analyzed through the imaginary parts of the complex frequencies.
Two-dimensional steady state mixed convection in a lid-driven parallelogram cavity with isoflux heating from below has been investigated numerically. Two side walls are maintained at constant motion and constant ambient temperature while the upper wall is fixed and kept adiabatic. A uniform constant heat flux is applied at the bottom wall with a view to model heated microchip structure. Governing equations expressing in non-dimensional forms are solved by using Penalty finite element method. Parametric studies are carried out for different values of Richardson number ranges from 0 to 10. The influence of the governing parameters on the Nusselt number at the heat source surface is observed for three different side angles of the moving lids. Results presented in the form of streamline and isotherm plots show a comparative explanation for the variation of heat transfer characteristics.
In the present research a numerical analysis is carried out to study the fluid and gas flow phenomenon and to determine the performance of the engine with various piston shapes. Diesel engines are widely used in heavy duty transport applications due to its superior fuel consumption. However, diesel engines are known to produce relatively high emissions of NOx and soot. Due to this fact, stringent emission standards have been imposed on diesel engine emissions. The diesel emission targets have been met by the industry by techniques such as increasing injection pressure and boost pressure using injection timing retard and recently through the use of electronically controlled injection systems. Inspite of these efforts, with proposed further reduction in the Environmental Protection Agency’s (EPA) emission levels, the viability of diesel engine is being challenged. Extensive research continues today to find better methods to reduce both soot and NOx emissions from diesel engine. In the present study the emission analysis is carried for different shapes of the piston. In recent years, increasingly stringent legislation has been enacted to control NOx, CO, soot and particulate emission from diesel engine. Traditional approaches to control these pollutants are providing diminishing returns. Also, there is the continuing effort to increase the specific power output of such engines while maintaining high efficiency and low emissions. These pressures have created a need to understand the combustion processes better and to control them through modification in engine with respect to its geometry and injection strategies. In this regard, multidimensional model should be useful. The fuel spray model, turbulence model and combustion models are used and made as elaborate as possible so as to capture the real processes. The three dimensional model with variable piston geometry, valve motion simulation and non axis-symmetric spray would require at least a mini-super computer for analysis.
The chemical process industries (CPI) contributed significantly in Indian economy. The growing importance of environment concerns is forcing CPI to use the state-of-the-art technology which increases the complexity of the process. The diversity in the products manufactured by CPI has made it more and more common for these industries to use reactors, conduits and storage vessels in which hazardous substances are handled at extreme conditions. Accidents in such units are caused either by material failure (such as crack in the storage vessels), operational mistakes (such as raising the pressures temperature/flow-rate beyond critical limits), or external perturbation (such as damage caused by a projectile) can have serious-often catastrophic-consequences. The accidental release of the inventory results in toxic release, fires and explosions. Quantitative Risk Assessment (QRA) is utilised as a tool to evaluate the risk posed to the society from the process and storage facilities. In present paper, the status of quantitative risk assessments in chemical process industries has been described.
Self Compacting Concrete (SCC) is a complex method of creating concrete that is usually proportioned with one or more mineral admixtures and chemical admixtures. Including the correct selection of aggregate, its size, gradation and content; together with any adjustments in the rhelogy and viscoelasticity of the resultant paste, which allows us to produce a high quality concrete suitable for use as SCC. For the successful design of any Self Compacting Concrete mix it is essential to promote a high level of quality control, a greater awareness of aggregate gradation, and to use more control over the mix water and the use of any advanced high range water reducing admixtures and viscosity enhancers, whilst also having a clearer understanding of the role of the various constituents in the mix, and their ultimate effects on the fresh and hardened properties of the SCC. Within this experimental investigation, this paper describes the main concentration of the experiment which was to focus on the use of non destructive test methods, such as Pulse Velocity, in order to distinguish the behaviour of self compacting concrete and glass fibre self compacting concrete mixes.
Neural and neuro-fuzzy systems are used, in order to forecast temperature and solar radiation. The main advantage of these systems is that they don’t require any prior knowledge of the characteristics of the input time-series in order to predict their future values. These systems with different architectures have been trained using as input-data measurements of the above meteorological parameters obtained from the National Observatory of Athens. After having simulated many different structures of neural networks and trained using measurements as training data, the best structures are selected in order to evaluate their performance in relation with the performance of a neuro-fuzzy system. As the alternative system, ANFIS neurofuzzy system is considered, because it combines fuzzy logic and neural network techniques that are used in order to gain more efficiency. ANFIS is also trained with the same data. The comparison and the evaluation of both of the systems are done according to their predictions, using several error metrics.
Understanding the full potential of manufacturing can change it into a function that take a proactive role in shaping the business strategy and provide the organisation with a sustainable competitive advantage. The importance of using the framework methodology to develop effective manufacturing systems through combining tools, techniques and flexibility to change is stressed by researchers. This paper presents a new framework, LSSF model, for applying the lean six sigma methodology in small and medium enterprises (SME). The framework is based on lean six sigma principles of low cost waste, high speed and high quality. A systems approach is used with the concept of customer-supplier relationship applied both internally and externally.
In oilfield database analyses the relationships between well production and working agent, plus the well bore pressure and working agent are presented as second order polynomials. In the literature, it was found that the most widely used parameter for analysis, was the well production vs. injected gas relationship. However, in some cases, if it is difficult to establish this relationship, then the pressure vs. injected gas formulae relationship can be used. In this paper, we demonstrate a possibility of transition from well production vs. injected gas to the pressure vs. injected gas relationship, and their use. To this end, a new approach was validated by the field test results.
The applications of composite materials based on carbon fiber reinforced plastic (CFRP) have been increasing considerably in aerospace industries, because of their good physical and mechanical characteristics. It is necessary to develop new manufacturing process and production techniques to ensure good surface quality of the components. As a result of this manufacturing scenario, it is necessary to study the machining process. This study reports practical experiments in turning, to study the performance of Poly Crystalline Diamond (PCD) inserts of two different grades. The results show that diamond tools are suitable for use in finish turning. The tests were carried out with PCD inserts at various cutting speeds on a medium duty lathe of spindle power 2KW. In the optimization method, turning was done by two different grades (PCD 1300, PCD 1500) for 30 seconds duration for each trial at different cutting conditions by using design of experiments. Parameters such as power consumed by main spindle, surface roughness were measured. Graphs were drawn to analyze the performance of two different grades on various parameters. Finally, it is concluded that the PCD 1500 grade is superior in all aspects.
