Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Mathematical modeling and simulation of an experimental study was performed using an array of solar panels to power three non-asbestos diaphragm type electrochemical cells whose anodes consisted of carbon rods and cathodes made up of stainless steel plate for the electrolysis of a 25 % w/w sodium chloride solution, with the aim of producing caustic soda. The non-asbestos diaphragms served to hinder the formation of unwanted substances as well as permit reasonable production of the desired products. The three non-asbestos diaphragm cells exhibited various characteristic performances, which is a reflection of their design, fabrication, composition, intensity of the sun on any particular day, the length of time the panels were exposed to sunlight and operational parameters. The non-asbestos diaphragm D3 with composition of 60 % w/w Portland cement, 20 % w/w silica and 20 % w/w polyvinyl chloride (PVC) indicated the highest yield of caustic soda per d.c Watt with specific electrical energy supplied. The simulated values predicted the operation closely as the maximum positive and negative deviations of all modeled from experimental values are between +0.07 and – 0.06 respectively. The research served as an encouraging inquisitive foundation into the possibility of producing caustic soda directly from solar powered electrolytic diaphragm cells with the aim of designing better cells as well as investigating key factors that affects cell performance in view of present conventional modes of electrochemical production.
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Dr. Babatope Olufemi. 2012. \u201cOperational Simulation of Solar-Powered Non-Asbestos Diaphragm Cells For the Production of Caustic Soda\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J1): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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