Four different varieties of class F fly ashes, collected from different sources from the state of West Bengal (India) were mixed with lime in 9 : 1 wt ratio, followed by compaction of the mixes. The compacts were subjected to steam curing to develop an optimum strength by the reaction between fly ash and lime. The steam cured compacts were heated at different elevated temperatures and free lime content, compressive strength, bulk density and water absorption tendency of these compacts were measured and FTIR spectral changes were studied as a function of the heating temperatures. Kinetics of thermal dehydration of the compacts was also studied from thermogravimetric measurements under non-isothermal condition to ascertain the order of dehydration process and the associated activation energy. © Indian Academy of Sciences.

A K DAS

A BASUMAJUMDAR

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University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

Effect of heat treatment on properties of steam cured fly ash-lime compacts

Bulletin of Materials Science

The chemical interaction between fly ash and lime in steam cured fly ash-lime compacts was modelled by artificial neural network to predict the free lime remaining in the mixes after the curing period. Process parameters, like, the pozzolanicity of the ash samples, their surface areas, unburnt carbon content, curing period and the proportion of lime in the fly ash-lime mixes were taken as the inputs for the model and the free lime remaining in the mix was taken as the output parameter. A generalized feed forward back propagation three layered neural network model was used with tan hyperbolic transfer function at both the input and the output layers with 400 exemplars. For the training data after 3000 iterations the mean square error (MSE) value was found to be the minimum for the prediction mode. The model when tested for the test data the difference between the actual value of the free lime and the predicted value of the free lime content in the mixes after different periods of curing was found to be within ±10%. © 2007 Taylor and Francis Group, LLC.

Journal	Bulletin of Materials Science
Publisher	INDIAN ACAD SCIENCES
ISSN	0250-4707
Open Access	Yes