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DEVELOPING A NEURO FUZZY MODEL TO PREDICT THE PROPERTIES OF AlSi12 ALLOY

DEVELOPING A NEURO FUZZY MODEL TO PREDICT THE PROPERTIES OF AlSi12 ALLOY,K. Srinivasulu Reddy,G. Ranga Janardhana

DEVELOPING A NEURO FUZZY MODEL TO PREDICT THE PROPERTIES OF AlSi12 ALLOY  
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The effects of modification and vibration during solidification of Aluminum-Silicon eutectic alloy (AlSi12) are studied and compared with unmodified alloy. Sodium and Strontium are used as modifiers. Horizontal sinusoidal vibration at different frequencies was imposed using a vibration Table. It was found that modification treatment improves properties such as ultimate tensile strength (UTS), percentage elongation, hardness, toughness, cutting force, electrical conductivity, thermal conductivity, fluidity, porosity and fatigue strength and optimum values were found for sodium and strontium weight addition of modifier. Self organized feature map (SOFM) network model is developed using Neuro Solutions package. Genetic algorithm is used to optimize the model developed. Further, neuro fuzzy model (CANFIS) is developed and compared the results with neural network model developed. Sensitivity analysis is carried out to measure the relative importance of the inputs of the model and how the model output varies in response to variation of an input. The developed models were validated experimentally.
Published in 2009.
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