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G. Jayaprakash

Researcher at Shivani Engineering College

Publications -  20
Citations -  155

G. Jayaprakash is an academic researcher from Shivani Engineering College. The author has contributed to research in topics: Manufacturing cost & Machining. The author has an hindex of 6, co-authored 18 publications receiving 108 citations.

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Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91

TL;DR: In this paper, the authors used the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and COPRAS (COmplex PRoportional ASsessment) methods.
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Prediction of Solar Photovoltaic/Thermal Collector Power Output Using Fuzzy Logic

TL;DR: In this article, a fuzzy logic model was established to predict power output of PV/T with respect to changes in input process and FPC output power, and the results indicated an agreement between fuzzy model and experimental results with an accuracy of 94.38% and error of 5.62%.
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Optimal tolerance design for mechanical assembly considering thermal impact

TL;DR: In this paper, a cost-tolerance model based on neural network methods is proposed in order to provide product designers and process planners with an accurate basis for estimating the manufacturing cost.
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A numerical study on effect of temperature and inertia on tolerance design of mechanical assembly

TL;DR: In this article, finite element analysis of the assembly is carried out to determine the deformation of the components under inertia effect and temperature effect, and then the deformations are suitably evaluated to ensure the product can function as intended under a wide range of operating conditions for the duration of its life.
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Evaluation of desirability function approach and grey relation analysis for modeling circularity, perpendicularity and cylindricity in drilling magnesium AZ31:

TL;DR: In this paper, the machinability studies over those materials have to be done, and the major manufacturing process is the drilling process, which covers a large number of materials and processes.