Mathematical modelling for phenolation of spent sulfite liquor

Andrei Ionut Simion1, Cristina-Gabriela Grigora.1, Alexandru Chiriac2, Catalin Nicolae T mpu3, Lucian Gavrila1

1 Vasile Alecsandri University of Bacau, Faculty of Engineering, Department of Chemical and Food Engineering, 157 Calea Marasesti, 600115 Bacau, Romania
2 Gheorghe Asachi Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Environmental Engineering and Management, 73 Mangeron Blvd, 700050 Iasi, Romania
3 Vasile Alecsandri University of Bacau, Faculty of Engineering, Department of Engineering and Management, Mechatronics, 157 Calea Marasesti, 600115 Bacau, Romania

Abstract


In this study major factors affecting the phenolation process of lignosulfonate (LS) waste liquor (recovered from pulp and paper industry) were optimized in order to improve LS substitution for replacing petroleum-based phenols during phenolic resin manufacturing. Four different parameters, namely phenol/lignosulfonate ratio, time, temperature and lignosulfonate waste liquor concentration, were varied in an experimental program having as response function the reaction yield. Response Surface Methodology (based on central composite or Box-Behnken designs) and Artificial Neuronal Network were applied for establishing the process parameters impact on phenolation yield. The developed mathematical models presented a high accuracy being able to adequately estimate the phenol conversion and adduct formation. Yields over 80 % were obtained when lignosulfonate waste liquor with a concentration in lignosulfonate between 35 % and 45 % was used in a ratio of 1:1 with phenol and the reaction was conducted at temperatures in a range of 100 C 110 C for a period of time of 3.0 3.5 hours.

Keywords


Artificial Neural Network; lignosulfonate; mathematical optimization; resin; Response Surface Methodology

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