PAPER making! FROM THE PUBLISHERS OF PAPER TECHNOLOGY INTERNATIONAL ® Volume 8, Number 1, 2022
pigment aspect ratios, and modulus differences between latex and pigment increased the likelihood of failure. Experiments and models using lower modulus spherical plastic pigments were more difficult to fail than coatings made with higher modulus kaolin. The maximum strain for coatings bent to a set curvature was the smallest when the modulus of latex and pigment were similar. The model agreed closely with experimental results for two pigment types at various pigment loadings. ENERGY “An improved forecasting model of short -term electric load of papermaking enterprises for produ ction line optimization”, Changzhi Lai, Yu Wang, Kai Fan, Qilin Cai, Qing Ye, Haoqiang Pang & Xi Wu, Energy , Vol.245, 15 April 2022, 123225. The load forecasting is generally based on historical data extrapolation in most forecasting models, resulting in a poor correlation with the production information and significant application limitations. To improve this, the production information-based backpropagation neural network (BPNN) combined with genetic algorithm (GA) and particle swarm optimization (PSO) hybrid forecasting model was established for a papermaking enterprise with the three-level electric data collected. Based on this, shift electric consumption quotas and air compressor transformation energy-saving predictions were proposed. The results show that when the production management information is included, the average mean absolute percent error (MAPE) of the six forecasting results can be 1.2%, an improvement of 18.3% on average, indicating the high accuracy of our proposed model. The unit energy consumption of paper products can be reduced by 3.26% through management optimization using the proposed shift electric consumption quotas. Under the guidance of energy-saving predictions, the overall power saving rate of the production line after the enterprise reforms the air compressor is 3%. The proposed load-forecasting model and energy optimization methods have high accuracy and practical applicability. MOULDED PULP “ Investigation of mechanisms and approaches for improving hydrophobicity of molded pulp biocomposites produced from apple pomace ”, Clara V. Lang, Jooyeoun Jung,Taoran & Wang Yanyun Zhao, Food and Bioproducts Processing, Vol.133, May 2022, pp.1-15. Cellulose fiber based molded pulp packaging is a sustainable solution to the persistent plastic crisis. This study utilized apple pomace (AP) as a renewable source of fibers and cardboard fibers (CF) as reinforcement material to create molded pulp biocomposites (boards) at AP:CF ratio of 2:1 in 3% solid pulp. For improving water resistance of pomace board, two approaches were employed: 1) incorporating rhubarb pomace (RP), chitosan, and glycerol into pulp formulation, and 2) applying heat resistant, superhydrophobic coatings on the board surface. In addition, composition, water retention value, and morphology of pomace, cardboard and newspaper fibers were evaluated for understanding their interactions and effect on water retention of fiber pulp and quality of derived boards. Response surface methodology was used to optimize pulp formulations based on high water resistance and low board deformation after drying. The optimum pulp formulation consisted of 26.9% w/w of RP, 0.039% w/v of glycerol, and 15.7% of w/w chitosan in the 3% solid pulp. The superhydrophobic coating further enhanced the water resistance of the board. The developed pomace boards were compostable in soil. This study brought new insights for using pomace as alternative fiber to produce water resistant and compostable packaging for various applications. “ Mechanical and Hygroscopic Properties of Molded Pulp Products Using Different Wood-Based Cellulose Fibers ”, Claire Dislaire, Bastien Seantier, Marion Muzy & Yves Grohens, Polymers , Vol.13(19), 3225 (2021). With an increasing interest for
Technical Abstracts
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