Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/10635
Authors: Karigar, Vinod
Issue Date: 2011
Abstract: Quality and productivity play significant role in today's manufacturing market. From customers' viewpoint- quality is very important because the extent of quality of the procured item (or product) influences the degree of satisfaction of the consumers during usage of the procured goods. Therefore, every manufacturing or production unit should concern about the quality of the product. Apart from quality, there exists another criterion, called productivity which is directly related to the profit level and also goodwill of the organization. Every manufacturing industry aims at producing a large number of products within relatively lesser time. But it is felt that reduction in manufacturing time may cause severe quality loss. In order to embrace these two conflicting criteria it is necessary to check quality level of the item either on-line or off-line. The purpose is to check whether quality lies within desired tolerance level which can be accepted by the customers. Quality of a product can be described by various quality attributes. The attributes may be quantitative or qualitative. In on-line quality control controller and related equipments are provided with the job under operation and continuously the quality is being monitored. If quality falls down the expected level the controller supplies a feedback in order to reset the process environment. In off-line quality control the method is either to check the quality of few products from a batch or lot (acceptance sampling) or to evaluate the best% process environment capable of producing desired quality product. This invites optimization problem which seeks identification of the best process condition or parametric combination for the said manufacturing process. In the first context, describes the optimizatimin"of turning parameters for EN 8D using the Grey relational analysis method.Nine experimental runs based on an orthogonal array of taguchi method were performed. The surface properties of roughness average and roughness kurtosis were selected as the quality targets. In view of the fact, that traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation grey relational theory has been coupled with Taguchi method. An optimal parameter combination of the turning operation was obtain by Grey relational analysis. The analysis of variance (ANOVA) is also applied to identify the most significant factor; the feed is the most significant controlled factor. ,
Other Identifiers: M.Tech
Research Supervisor/ Guide: Mehta, N. K.
Jain, P. K.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (MIED)

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