CFD Analysis and Aerodynamic Effects of Add-On Devices on an Audi TT Vehicle Model
Dynamic Response Analysis of Linear Motion Stage with Track Roller Guides
Design and Development of Manual and Voice Assisted Turn Indicator for Automobiles
Vehicle Health Inspection with Enhanced Auto Diagnostics and Maintenance
Dynamic Response Characteristics of Linear Translation Stage: A Review
A Review on Mechanical and Tribological Characteristics of Hybrid Composites
Design of Oil-Ammonia Separator for Refrigeration Systems
Design and Experimental Investigation of a Natural Draft Improved Biomass Cookstove
Progressive Development of Various Production and Refining Process of Biodiesel
Optimization of Wire-ED Turning Process Parameters by Taguchi-Grey Relational Analysis
Evaluation Of Mechanical Behavior Of Al-Alloy/SiC Metal Matrix Composites With Respect To Their Constituents Using Taguchi Techniques
Multistage Extractive Desulfurization of Liquid Fuel by Ionic Liquids
Isomorphism Identification of Compound Kinematic Chain and Their Mechanism
Development of Electroplating Setup for Plating Abs Plastics
A Comprehensive Review of Biodiesel Application in IDI Engines with Property Improving Additives
Aluminum alloy materials are found to be the best alternative with its unique capacity of designing the materials to give required properties. Aluminum alloy Metal Matrix Composites (AMMCs) are gaining wide spread acceptance for automobile, industrial, and aerospace applications because of their low density, high strength and good structural rigidity. In this paper, an attempt is made to examine the effect of influential parameters such as type of reinforcement, size of the reinforcing particle and weight percentage on mechanical properties. Stir casting technique has been employed to prepare the composites. The Response parameters were tensile strength, impact strength and density. The Design of Experiments (DOE) approach using Taguchi method was employed to analyze the mechanical behavior of hybrid composites. Signal-to-noise ratio, and Fuzzy approach were used to investigate the influence of parameters on the mechanical behavior.
Manufacturing is a driving force for economic growth of a nation. During manufacturing, a lot of material gets wasted as scrap. The conventional methods used for waste treatment usually results in wastage of material, high energy consumption, large processing time, and may lead to formation of harmful gases. The use of microwave energy instead of conventional method has revolutionized the processing of materials significantly. The processes using microwave have short processing time, eliminating wastage of material, reducing pollution, and consumes energy less than the conventional processes. Along with these benefits, the quality of product is better due the property of uniform heating nature of microwave, so better microstructure of casting is achieved, the surface finish and defects in castings are less. Moreover, handling workshop wastes and their recycling is potentially dangerous and challenging, yet unavoidable job. The paper presents lead scrap collected from workshop, which is treated with microwave using a multimode applicator at 2.45 GHz. The principle of microwave hybrid heating is used, and silicon carbide susceptor is used to initiate coupling with lead. The samples were characterized using field emission scanning electron microscope (FE-SEM), X-Ray diffractometer, macro hardness tester.
The objective of this research was to investigate the performance of a 4-cylinder, light-duty Compression Ignition (CI) engine fuelled with the diesel, blend with High Grade Kerosene (HGK), diesel mixed with bio diesel made from Waste Frying Oil (WFO), and certified diesel fuel. The fuel blends contained; Diesel mixed with Bio-diesel made from WFO in a ratio of 90-10% by volume; Diesel mixed with procured Bio-diesel in a ratio of 90-10 %; Diesel mixed with HGK in a ratio of 60-40% by volume and Diesel mixed with VO and HGK in a ratio of 50-10-40 % by volume. The experiments were performed in a four cylinder DI PIZZO diesel engine at six different engine-loading conditions (15N, 25N, 35N, 45N, 55N and 65N load). During experiments, the engine speed varied from 1450 rpm to 1700 rpm in steps of 50 rpm for each load condition. Several engine parameters i.e. power, brake specific fuel consumption, and brake thermal efficiency were investigated. As a complement of the experiment, the exhaust emission characteristic of CO and HC were also investigated.
A solar powered air heating system using parabolic trough collector was experimentally investigated. In this experimental setup, the reflected solar radiations were focused on absorber tube which was placed at focal length of the parabolic trough. In this setup, air was used as working fluid which collects the heat from absorber tube. To enhance the performance of parabolic trough collector, four cases have been considered; ordinary absorber tube, absorber tube painted black, black painted absorber tube along with glazing, and black painted absorber tube along with glazing and secondary reflector. It was observed that parabolic trough air heater with black painted absorber tube along with glazing and secondary reflector performs better when compared to other cases. The attained maximum o temperature difference of air was found to be 37.5 C at an air flow rate of 16.83 kg/hr.
Titanium and its alloys are classified into difficult to cut materials. To machine such materials economically, the optimized process parameters plays significant role. Therefore the experiments have been planned and conducted using Design of Experiments. The experiments are conducted under different machining environments such as dry, flooded and Minimum Quantity Lubrication (MQL) machining with different tool materials such as uncoated, Chemical Vapour Deposition (CVD) and Physical Vapour Deposition (PVD) coated tools. In this study, Taguchi's L orthogonal array is 27 used to perform the experiments. The results obtained from these experiments are used to develop second order multiple regression model in terms of input process parameter. The same model is used as a fitness function for Simulated Annealing (SA) to optimize the process parameters for minimum surface roughness. The optimum results from SA is compared with Taguchi methodology and validated with Regression Analysis. The optimum parameters obtained both in Taguchi's methodology and Simulated Annealing are flooded machining, high cutting speed, low feed rate, low depth of cut and CVD coated tool.