Requirement elicitation is considered to be a very vital activity in requirement engineering. It is a proven fact that improper elicitation of requirements leads to a project failure. S o for the improvement in the software industry's success rate more attention is required in the elicitation process. In order to help elicitor to understand and select different methods, many frameworks are proposed that highlight the key issues of requirement elicitation but most of the frameworks are theoretical in nature. They lack practical guidance and extensive study of a wide variation of methods for requirements Elicitation. In this paper we propose a framework for requirement elicitation that support elicitor to understand and select methods for requirement elicitation and also addresses three core problem areas of requirements elicitation, pre-domain development, stakeholders management and elicitation technique selection that were identified as lacking and needed guidance and support .Finally we validate the framework of effective requirement elicitation using finite state machine. Test cases are generated for the validation of the framework. The approach for generating the test cases through FS M is very reliable and efficient and does not support for the invalid test cases. Valid input strings are generated as test cases.
Diesel engines convert chemical energy into mechanical energy generally with low efficiency. However, if these engines are operated at optimum levels of input parameters, they can produce power more efficiently with minimum harmful exhaust emissions. The current research work is carried out with an aim to determine these optimum levels of the input parameters. Four input parameters were selected and their optimum combinations were determined using Taguchi based technique for order of preference by similarity to ideal solution (TOPSIS) coupled with Entropy Weight method. Taguchi's L 25 orthogonal array was adopted to perform the experiments. All the test runs were carried out in random manner with three replicates of each to improve the accuracy of the experiments. The preference values (relative closeness of the distinct alternative to the positive ideal solution) predicted by Taguchi method and the values obtained by regression analysis, at optimum input parameter settings were compared and a good relationship was found between them.
Purpose Diesel engine can produce power more efficiently with lower exhaust emissions when operated at optimum input parameter settings. To achieve this goal, the purpose of this paper is to optimize the input parameters of diesel engine which will lead to optimum performance and exhaust emissions. Design/methodology/approach To achieve the goal of improving diesel engine performance and exhaust emissions, four input parameters were considered in the study. Five different levels of each input parameter were taken. Four response variables under no load, half load and full load conditions were recorded. Experiments were performed in random manner according to selected Taguchi L25 orthogonal array. The data were analyzed using grey relational analysis coupled with principal component analysis. Analysis of S/N ratio was performed to obtain the optimum combination of input parameters. The grey relational grade at optimum setting of the input parameters was obtained by regression analysis. Findings Results of the current research work give the optimum input parameter settings for no load, half load and full load conditions of diesel engine. Engine produces power more efficiently with low exhaust emissions when operated at these optimum settings. Practical implications In view of the compliance to the stringent air pollution norms of the nations and fast depleting fossil fuels, it is of the utmost importance to design and operate the engine in the optimum range of its input parameters so that it produces more power with low exhaust emissions. This paper aims at optimizing input parameters of diesel engine to improve performance and exhaust emissions. Results of the study presented in this paper are significantly useful for diesel engine-related researchers and professionals. Originality/value From the literature review, it appears that only few researchers have conducted studies pertaining to the optimization of the input parameters of diesel engine to improve performance or exhaust emissions. Although few studies related to the optimization of compression ratio, fuel injection timing, fuel injection pressure and air pressure have been reported, no work related to optimization of temperature and pressure of turbocharged air has been reported. Therefore, the main focus of the current research work is on optimizing the charge air temperature and pressure with respect to performance and exhaust emissions.
ABSTRACT:The objective of a turbocharger is to improve an engine's volumetric efficiency by increasing the density of the intake gas (usually air, entering
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.