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Authors will receive one hard copy of full paper, individual print certificates and digital certificates, Submit Manuscript

CALL FOR PAPERS : DEC-2018

Submission Last Date :  30-Dec-2018
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Call for Paper Vol-7 Iss-02 Feb-2018

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Published Vol-07 Iss-01 Jan-18

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DESIGN OF FUZZY LOGIC CONTROLLER FOR STARCH MODIFICATION PROCESS

Dinesh.E, Madhan Mohan.M, Vijayachitra.S

Abstract: Starch is one of the utmost broadly circulated ingredients in flora, occurring in utmost plant life. Native starch from tapioca plant exhibits limited application due to low shear stress resistance, thermal decomposition, high viscosity, poor stability. To overcome the desirable functional properties and its limitations, native starches are modified by physical, chemical, enzymatic and genetic modifications. Presently in industries chemical modification method is most commonly used for starch modification process to meet the growing population demand of the developing countries. Currently chemical modification done through manual addition of different proposition of chemicals to the native starch obtained from the raw material according to the industrial standard requirements. Manual addition of chemicals is unsafe for food processing industry, time-consuming, require skilled operators and produce chemical by products. The proposed work involves design of fuzzy logic controller for oxidized modified starch manufacturing process with proper proposition mixing of the chemicals with the native starch according to the industrial standard requirements. Here fuzzy logic mamdani model was designed to extract the exact proposition of chemicals Sodium Hydroxide (NaOH), Hydrochloric Acid (HCl) and Sodium Hypochlorite (NaClO) necessary to mix with native starch to manufacture oxidized starch. According to the variation of native starch properties as per the raw material available, the optimize level of chemical ratio to be added with the native starch for manufacturing process of oxidized starch is determined from fuzzy logic model with quality and safety measures

Keywords: Starch Modification, Oxidized Starch, Fuzzy Logic Controller

DOI: https://doi.org/10.15623/ijret.2014.0319017

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