PAPER making! g! FROM THE PUBLISHERS OF PAPER TECHNOLOGY INTERNATIONAL ® Volume 9, Number 1, 2023
deposite originates from fiber, polymers such as polyvinyl acetate and styrene butadiene, which are components of hot melt adhesives, and fatty acid/resin esters. Fatty acids and resins are the most common organic compounds in stickies deposite. The possible origin of these compounds are chemical substances (saponified fatty acids), deinking steps and some resins and fatty acids used in the formulation of adhesives or more resistant resins and extractive materials related to Cellulose fibers. The observed minerals are mainly calcium, iron, silica and aluminum, which are present in the formulation of fillers and coating pigments during the papermaking process. “N ovel Parameter Identification Method for Basis Weight Control Loop of Papermaking Process”, Shen Yunzhu, Tang Wei & Liu Yungang, Paper & Biomaterials , No.1, 2023. The basis weight control loop of the papermaking process is a non-linear system with time- delay and time-varying. It is impractical to identify a model that can restore the model of real papermaking process. Determining a more accurate identification model is very important for designing the controller of the control system and maintaining the stable operation of the papermaking process. In this study, a strange nonchaotic particle swarm optimization (SNPSO) algorithm is proposed to identify the models of real papermaking processes, and this identification ability is significantly enhanced compared with particle swarm optimization (PSO). First, random particles are initialized by strange nonchaotic sequences to obtain high-quality solutions. Furthermore, the weight of linear attenuation is replaced by strange nonchaotic sequence and the time-varying acceleration coefficients and a mutation rule with strange nonchaotic characteristics are utilized in SNPSO. The above strategies effectively improve the global and local search ability of particles and the ability to escape from local optimization. To illustrate the effectiveness of SNPSO, step response data are used to identify the models of real industrial processes. Compared with classical PSO, PSO with time-varying acceleration coefficients (PSO-TVAC) and modified particle swarm optimization (MPSO), the simulation results demonstrate that SNPSO has stronger identification ability, faster convergence speed, and better robustness. “Biodegradation Behavior of Starch in Simulated White Water System of Old Corrugated Cardboard Pulping Process”, Guo Jinhuan et al, Paper & Biomaterials , No.1, 2023. Considering the serious barriers/issues induced by the accumulated starch generated in white water system of old corrugated cardboard (OCC) pulping process, large amounts of accumulated starch in white water would be decomposed by microorganisms and could not be utilized, thereby resulting in severe resource wastage and environmental pollution. This study mainly explored the effects of biodegradation/hydrolysis conditions of the two types of starch substrates (native starch and enzymatically (α -amylase) hydrolyzed starch), which were treated via microorganism degradation within the simulated white water from OCC pulping system and their biodegradation products on the key properties were characterized via X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), and gel permeation chromatography (GPC) technologies. The effects of system temperature, pH value, starch concentration, and biodegradation time on starch biodegradation ratio and the characteristics of obtained biodegradated products from the two types of starches were studied. In addition, the effect of α -amylase dosage on the biodegradation ratio of enzymatically hydrolyzed starch and its properties was investigated. It was found that the native starch presented a maximal degradation ratio at a system temperature of 55 Ԩ and pH value range of 5-7, respectively, the corresponding starch concentration within simulated white water system was 200 mg/L. Whereas the enzymatically hydrolyzed starch exhibited a highest degradation ratio at a system temperature of 50 Ԩ and pH value of 5.5, respectively, and the corresponding starch concentration within simulated white water system was 100 mg/L. It was verified that
Technical Abstracts
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