Applied Mechanics and Materials Vol. 591

Abstract: Hydro electric barrel turbines can be used for extraction of clean energy from water flowing at velocity more than 1 m/sec. The kinetic energy available in the flow in water is converted into mechanical energy by means of a barrel having helical type projections and depressions. This is similar to helical milling cutter. The mechanical energy is converted into electrical energy by means of a pan type electrical generator, the output of which is stored in a battery and inverter and then is used. The specific advantage of barrel turbine is easy handling and environment friendly design, thus eliminating the need for environmental impact assessment studies. The proposed project consists of a CAD model of the barrel turbine which can be generated using CATIA, pro E softwares and analysis on this cad model will be performed. Analysis for the strength and power extraction capabilities shall be estimated using ANSYS fluid dynamics. Parameters such as diameter, the length of the turbine and variation of velocity of flow shall be studied in this work.

Abstract: In this work, enhancement of viscoelastic behaviour and thermal stability of hybrid friction composites has been synergistically investigated. Five different friction composites were fabricated by varying weight % of basalt fiber against BaSO₄ content. Dynamic mechanical analysis (DMA) was carried out to assess the temperature dependent viscoelastic behaviour of composites. Basalt fibre addition improves dynamic modulus such as storage modulus (E'), loss modulus (E") and lowers the damping factor (tan δ) values. Thermal degradation behaviour and presence of volatile elements in the composites was studied using thermo gravimetric analysis (TGA). Higher amount of BaSO₄ resulted in higher thermal stability and lower % of weight loss. Fourier transform infrared spectroscopy (FTIR) and X-ray powder diffraction (XRD) analysis were employed to characterize the composites.

Abstract: The computer aided tools and recent developments of engineering, emphasizes the importance of bringing manufacturing process into early stage for product and process design. The implied significance is that it becomes vital to reduce cost of product by extensive use of CAD tools for product formation without actually building the product. In this paper, CAD tools are used to design an extrusion die for bolt ejector pin. In this paper, the extrusion die used to produce the pin is modeled using Pro-E, a CAD tool. Then, the die is analyzed for the maximum extrusion load condition using ANSYS software, a Finite Element Analysis simulation (FEA) tool. The simulation results are compared with yield stress of material. After the die has been designed, the pin was extruded using the die. In order to evaluate the strength of extruded pin, the pin was also modeled and analyzed using ANSYS tool where it was found to be safe for its maximum ejection load condition.Keywords: Extrusion die design, ejector pin, Computer aided modelling (CAD) , Finite Element Analysis (FEA).

Abstract: Silicon Carbide/GFRP reinforced matrix composite and SiC matrix composite has been developed by using hand layup and resin casting methods respectively. The GFRP reinforced polymer composite is made by sandwiching two layers of GFRP in between the SiC material. The resin used for the preparation the samples are epoxy and polyester, for both Sic/GFRP composite and SiC composite. An Arcan fixture with butterfly specimen is used to measure the fracture occurring in various modes of the polymer composite. The objective of the proposed testing method is to determine the variation in the stress value depending on the resin material as well as the influence of GFRP in the strength of SiC polymer composite. Results from the tests are analyzed to show that the polyester resin is better for shear strength, in both Sic/GFRP reinforced and SiC composite material.

Abstract: Composite materials play a major role in engineering application due to its light weight, good stiffness, high specific strength and flexible nature. Because of these properties, fibers are interbreed with glass fiber for the applications in the automobile, aircraft industries and household appliances are wider. This paper deals with fabrication and investigation of tensile behavior of hybrid composites using vinyl ester resin. Natural fibers, sisal and coir fibers which are commixed with vinyl ester with a volume fraction of 0.4 and 0.5 using hand lay-up process. The tensile strength of sisal-coir-glass composites was found to be better than the other two combinations of composite.

Abstract: Over the past two decades considerable effort has been taken to develop and introduce new alternate source of energy for the conventional gasoline and diesel. Environmental pollution and uncertainty in cost of petroleum products are the principal driving forces for this movement. The major pollutants from an Diesel engine system are NOx, Smoke, particulate matter, Soot. Several alternative fuels were tried but all of them are carbon based fuels, therefore net carbon based pollutants cannot be reduced. One alternative to carbon-based fuels is hydrogen. Hydrogen a non-carbon fuel only can meet zero emission vehicles standards in future. Hydrogen can be commercially used as a fuel even though it is having a number of technical and economical barriers. Numerous techniques are available for use in C.I. engine such as dual fuel made, by using spark plug, glow plug, DEE as an ignition enhancer. Hydrogen was used in a diesel engine in the dual fuel mode-using diesel as an ignition source in neat form using DEE. In neat form the DEE was introduced in the manifold. In order to have a precise control of hydrogen flow and to avoid the backfire and pre – ignition problems hydrogen was injection in to intake manifold; DEE injection follows the hydrogen injection. DEE mixed with air and flows into the combustion chamber as DEE auto ignites first followed by hydrogen combustion. A single cylinder-four stroke water-cooled naturally aspirated constant speed D.I. diesel engine with a rated output of 3.7 kW at 1500 rpm was used for the experimental purpose. Measurements were taken with respect to the performance, combustion and emission studies.

Abstract: Scheduling is the allocation of resources over time to carry out a collection of tasks assigned in any field of engineering and non engineering. Majority of JSSP are categorized into non deterministic (NP) hard problem because of its complexity. Scheduling are generally solved by using heuristics to obtain optimal or near optimal solutions because problems found in practical applications cannot be solved to optimality using available resources in many cases. Many researchers attempted to solve the problem by applying various optimization techniques. While using traditional methods they observed huge difficulty in solving high complex problems and meta-heuristic algorithms were proved most efficient algorithms to solve various JSSP so far. The objective of this paper i) to make use of a newly developed meta heuristic called Firefly algorithm (FA) because of inspiration on Firefly and its characteristic. ii) To find the combined objective function by determining optimal make span, mean flow time and tardiness of different size problems (using Lawrence 1-40 problems) as a bench marking dataset and to find the actual computational time. Iii) to prove that the proposed FFA algorithm is a good problem solving technique for JSSP with multi criteria.

Abstract: In this Paper, the Comparison between the Performance of Wheezes Data Processing in the Frequency Domain and in the Time Domain is Evaluated Using K-Nearest Neighbor (KNN). the Purpose of this Paper is to Clarify the Confusion Regarding the Methods Used Nowadays, as many of the Previous Researchers have Stated that Wheezes Data are Better Processed in the Frequency Domain due to its Dominant Frequency Peaks but Not a Single Researcher has Made a Direct Comparison to Prove the Reliability of the Method Used. from the Evaluation Made, the Result Shows that the Performance of Wheeze Data Processed in the Frequency Domain is Better as Compared to the Data Processed in the Time Domain. A High Performance Accuracy with 97% is Obtained Comparing to an Accuracy Percentage of 83.13% were only Achieved by Using the Time Domain Data. Thus, this Paper has Successfully Made a Comparison between the Domains Proving the Reliability of the Frequency Domain for Wheeze Detection.

Abstract: The last few decades have seen a growing trend toward aggressive global competition, increased marketplace demands, and accelerated technological changes. These developments are forcing organizations to take a closer look at their marketing channel strategy including addressing the issue of how to distribute their products and offer associated after-sales service support. A SWOT analysis, standing for analyzing company strengths, weaknesses, opportunities and threats, helps small businesses optimize their after sales service performance. To ensure the successful implementation of the best strategy, here raises a critical issue of how firms can better evaluate and select a best strategy before implementation. In this study, a framework is proposed to address the inner dependence relations of SWOT factors and sub factors with the aid of analytical network process (ANP). Finally the recommendations are presented to improve the performance of after sales service operations of the home appliances business firm.

Abstract: In modern years, there has been growing importance in the design, analysis and to resolve extremely complex problems. Because of the complexity of problem variants and the difficult nature of the problems they deal with, it is arguably impracticable in the majority time to build appropriate guarantees about the number of fitness evaluations needed for an algorithm to and an optimal solution. In such situations, heuristic algorithms can solve approximate solutions; however suitable time and space complication take part an important role. In present, all recognized algorithms for NP-complete problems are requiring time that's exponential within the problem size. The acknowledged NP-hardness results imply that for several combinatorial optimization problems there are no efficient algorithms that realize a best resolution, or maybe a close to best resolution, on each instance. The study Computational Complexity Analysis of Selective Breeding algorithm involves both an algorithmic issue and a theoretical challenge and the excellence of a heuristic.