May'19
Focus
Faster depletion of fossil fuels and ever increasing prices of petroleum products
have thrown challenges for their efficient usage and development of innovative
designs in combustion engines. Among the recent developments, emphasis is on the design of compact and simple rotary vane engines which can use a variety of fuels. In the paper, “Computer-Aided Modeling of Six Chamber Rotary Engine”, the authors, Bhushan R Mahajan, S S Khandare and A V Vanalkar, have presented simulation results of rotary type stroke less engine consisting of six vanes. In the analysis, the authors have used various sizes of stator rotor diameter in the models and recorded the volumes and pressures of different zones along the rotor to get optimized value of compression ratio and cubic capacity. The authors, by varying the vane angles at an interval of 5o, have derived the pressure variations, both with and without combustion of air fuel. With the use of six vanes, the analysis suggests that a compression ratio of 8.64 could be achieved with smooth simulation of mechanism.
Hydraulic transport of solid materials through pipes has been employed industrially for nearly a century. The introduction of solid particles into a stream of fluid requires extra energy to be imparted to the fluid to overcome the increased pressure drop. Again, as far as saltation and choking are concerned, the pipe bends and straight pipes are important elements in the designing of transport process. Hence, it is necessary to determine the mechanism of flow of particles in pipe bends, since the bends are prone to excessive wear. CFD modeling fairly predicts pressure drops for the flow. In the paper, “CFD Modeling and Experimental Investigation of Bimodal Slurry Flow in Straight Pipeline with Horizontal Bends”, the authors, Kanwar Pal Singh, Arvind Kumar and Deo Raj Kaushal, have studied the flow of bimodal slurry with a mixture of silica sand and fly ash at 80:20 ratio with solid concentration 8.82% by volume to investigate the pressure drop, concentration and particle size distribution along pipeline and pipe bends with flow velocity range keeping up to 3.56 m/s. CFD modeling analysis is done for measurement of solid distribution profiles along pipe cross-section and drop in pressure along pipeline and horizontal bends for same slurry sample, and the results are correlated with experimental outcomes.
With the ongoing technological developments and increased competitiveness, the manufacturing industries are striving to improve the strategies to comply with the market demands and stay in the business. The performance of the equipment can be best evaluated with a knowledge of failure and repair rates of each subsystem and maintainability of system. The fertilizer plants are no exception, and in the paper,
“A Mathematical Model for the Performance Evaluation of a Fertilizer Plant”, the author Sanjeev Kumar, has presented the details of a model of urea decomposition system of a fertilizer plant—based on the Markovian approach—with the idea of
enhancing the productivity of the plant. In the modal analysis, the author has used the real data of a plant and investigated the various parameters of system failure and repair rates, as well as their effects on the system performance. The developed model could help in evaluating the system performance and carry out modification, and in the routine maintenance of system.
Optimization of machining parameters is very crucial for product quality, costs of production and time of production. The physical properties of the workpiece material have a straight effect on its machinability, while operating parameters, tool material, tool geometry and workpiece requirements have indirect influence on the machinability. A comprehensive knowledge of factors affecting machinability helps in the selection of workpiece designs and cutting tool material, and to achieve the most favorable machining combination. In the paper, “Machining Parameters Optimization of AISI 4340”, the authors, Jignesh Khara, Manojkumar V Sheladiya and G D Acharya, have carried out experimental investigations by varying the cutting speed, feed rate and nose radius, and used ANOVA and gray relational analyses to optimize the machinability aspects of AISI 4340 alloy steel utilizing carbide tools. The authors have suggested that the feed rate is the most dominating parameter affecting average surface roughness (Fa) value, followed by nose radius and cutting speed, and presented the optimized parameters.
Over the last century, there has been a 20-fold increase in the consumption of energy worldwide. In view of the faster depletion of fossil fuels, emphasis is on the lookout for alternate fuels such as biofuel, which can give us the same efficiency and at the same time reduce greenhouse gas emissions. In the paper, “An Experimental Investigation of Thumba-Diesel Fueled Operated Variable Compression Ratio Diesel Engine”, the authors, Rahul Goyal, Mayur Deo, Nishant Chaudhary, Parth Chauhan, Aditya Chauhan and Pradeep Kumar Gupta, have investigated the use of thumba oil-diesel blends in various proportions. The authors have suggested the best Compression Ratio (CR) for maximum Brake Thermal Efficiency (BTE) and also the optimal blend ratio of thumba oil-diesel blends.
Computer-Aided Modeling of Six Chamber Rotary Engine
The paper studies the concept of rotary type stroke-less engine consisting of six vanes fixed on splined eccentric rotor with integrated shaft mounted on stator. The chosen suitable sizes of diameter and length are 100, 70 and 70 mm for stator, rotor and vanes, respectively. Computer-aided modeling of all components along with assembly of engine has been done using Creo-Pro engineer software by choosing different vane angles from 0 to 360º at 5º interval. Various sizes of stator and rotor diameter were chosen, and then the volumes and pressure of different zones along the rotor were recorded for getting the optimized value of compression ratio and cubic capacity. The simulation analysis with and without combustion of air fuel mixture, using Excel tool, was carried out to find the variation of pressure versus vane angle.
A Mathematical Model for the Performance Evaluation of a Fertilizer Plant
Availability is considered as a crucial metrics used to evaluate the performance of a fertilizer plant. The paper develops an availability model of the urea decomposition system of a fertilizer plant to quantify the values of availability indices and to identify the most critical equipment that mainly affects the system’s performance. The Markovian approach was adopted to model the system behavior. A transition diagram was constructed for the developed model and differential equations of the developed model were formulated to obtain the state probability. The availability at steady state was analyzed and investigated. The developed model was verified and its validation was carried out. A real data of industrial system in fertilizer plant was applied to validate the developed model and the effect of failure and repair rates at different mission times was presented and discussed. The model output identifies the critical subsystems and the equipment which mainly influences the system’s performance. Consequently, the developed model is considered as an excellent tool for the system’s performance evaluations. The performance has been optimized using Genetic Algorithm (GA). The findings of the paper will be highly useful to the plant management for timely execution of proper maintenance decisions and thus to enhance the system performance.
Machining Parameters Optimization of AISI 4340
The paper focuses on the experimental assessment of the machinability aspects (surface roughness (Fa), cutting forces (Fc) and temperature (T)) while turning AISI 4340 alloy steel utilizing carbide tools. Optimization of machining parameters that have an impact on machinability aspects is exceptionally valuable to reduce production cost and time for machining part at the required surface quality. The experimental study is based on Design of the Experiment (DoE) using general full factorial approach and analyzes the parameters that influence the response variables. Analysis of Variance (ANOVA), regression analysis and Gray Relational Analysis (GRA) are employed to study the effects, significance, percentage contribution, modeling and optimum setting of the given process parameters.
An Experimental Investigation of Thumba-Diesel Fueled Operated Variable Compression Ratio Diesel Engine
The paper aims at depicting the effects of varying loads at various Compression Ratios (CRs) using various thumba oil-diesel blends on a Variable Compression Ratio (VCR) engine. The effect of thumba methyl esters in different proportions with diesel on engine characteristics was investigated. A series of short-term tests were conducted on a single cylinder, 3.6 kW, water-cooled, stationary, VCR, diesel engine. Optimal CR and blend ratio were determined for maximum efficiency and minimum emissions. Characterization of fuel properties for all the test blends was conducted. The performance and emission characteristics of the diesel engine for thumba oil blends at both rated and optimal CR were compared with those of pure diesel. B20 blend was inferred as optimal blend as it provided optimal results in terms of Brake Thermal Efficiency (BTE) and Brake Specific Fuel Consumption (BSFC) and also provided substantial decrement in emissions though nitrogen oxides (NOx) emission increased marginally. This blend, when tested with various CRs, provided CR 18 as the optimal result. Hence, it was established that the use of thumba oil-diesel B20 blend at CR 18 will provide optimal environmental benefits.