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Journal articles
Magazine articles
Study on the effect of aluminum diethyl phosphinate in synergy with ammonium polyphosphate on the flame retardancy of cellulose paper, TAPPI Journal April 2025
ABSTRACT: This paper involved the synergistic incorporation of ammonium polyphosphate (APP) and diethyl aluminum phosphinate (AlPi) as flame-retardant fillers for producing flame-retardant paper. The research revealed that APPs were square particles with a smooth surface, and their solubility was 0.29 g/100 mL at 20°C, which increased to 4.12 g/100 mL at 60°C. The surfaces of AlPis were rough and irregular. The solubility of AlPi was 0.023 g/100 mL at 20°C, and the solubility remained stable when the temperature increased. The addition of AlPi had a minor influence on the pulp beating degree. The tensile strength of kraft/APP/AlPi decreased with the increase of the AlPi addition. For a paper with 20 wt% APP and 0 wt% AlPi, the limiting oxygen index (LOI) value was 27.2%, and it burned completely at the eighth second during vertical combustion. When the AlPi additive content increased to 20 wt%, its LOI value increased to 32.2%, and the vertical combustion self-extinguished as soon as the flame was removed. Scanning electron microscopy (SEM) showed that the char residue of the kraft/APP/AlPi had a more complete fiber network structure than that of kraft/APP. The Raman spectroscopy indicated that the area ratio of the D (amorphous phase; disordered graphite vibration) band to the G (crystal phase; graphite carbon vibration) band (ID/ IG) ratio of kraft/APP/AlPi was lower than that of kraft/APP, meaning that the graphitization degree of the char residue of kraft/APP/AlPi was higher than that of kraft/APP, which indicated the kraft/APP/AlPi had better flame retardancy.
Journal articles
Predictive advisory solutions for chemistry management, control, and optimization, TAPPI Journal March 2025
ABSTRACT: Process runnability and end-product quality in paper and board making are often connected to chemistry. Typically, monitoring of the chemistry status is based on a few laboratory measurements and a limited number of online specific chemistry-related measurements. Therefore, mill personnel do not have real-time transparency of the chemistry related phenomena, which can cause production instability, including deposition, higher chemical consumption, quality issues in the end-product and runnability problems. Machine learning techniques have been used to establish soft sensor models and to detect abnormalities. Furthermore, these soft sensors prove to be most useful when combined with expert-driven interpretation. This study is aimed at utilizing a hybrid solution comprising chemistry and physics models and machine learning models for stabilizing chemistry-related processes in paper and board production. The principal idea is to combine chemistry/physics models and machine learning models in a fashion close to white box modeling. A cornerstone in the approach is to formulate explanations of the findings from the models; that is, to explain in plain text what the findings mean and how operational changes can mitigate the identified risks. The approach has been demonstrated for several different applications, including deposit control in the wet end, both raw water treatment and usage, and wastewater treatment. This approach provides mill personnel with knowledge of identified phenomena and recommendations on how to stabilize chemistry-related processes. Instead of using close to black box machine learning models, a hybrid solution including chemistry/physics models can enhance the performance of artificial intelligence (AI) deployed systems. A successful way of gaining the trust from mill personnel is by creating a plain text explanation of the findings from the hybrid models. The correlation between the likelihood of a phenomena and disturbance and the explanations are derived and validated by application and chemistry and physics experts.
Journal articles
Anthraquinone pulping of kudzu (pueraria lobata), TAPPI Journal December 2024
Authors: Peter W. Hart, Brian N. Brogdon, and Jeffrey S. Hsieh | TAPPI J. 76(4): 162(1993) - ABSTRACT: Kudzu was pulped underpulping conditions for kraft, kraft-AQ, soda, and soda-AQ processes. Anthraquinone addition increlased the carbohydrate content of the brownstock pulp for all cooks. Anthraquinone addition lowered the broumrtock kappa number while reducing the chemical demand. Brownstock ~om selected pulping sequences was tested to determine tear strength, tensile strength, burst strength, and~eeness. The broumstock was also subjected to a CED bleaching sequence. For the bleached pulps, viscosity and average fiber length were determined.
Magazine articles
Leveraging mill-wide big data sets for process and qualityimprovement in paperboard production, TAPPI Journal December 2024
Authors: Jianzhong Fu and Peter W. Hart | TAPPI J. 15(5): 309(2016) - ABSTRACT: The MWV mill in Covington, VA, USA, experienced a long term trend of increasing episodes of paper indents that resulted in significant quantities of internal rejects and production downtime. When traditional troubleshooting techniques failed to resolve the problem, big data analysis techniques were employed to help deter-mine root causes of this negative and increasingly frequent situation. Nearly 6000 operating variables were selected for a deep dive, multi-year analysis after reviewing mill-wide process logs and 60000+ PI tags (data points) collected from one of the major data historian systems at the MWV Covington mill. Nine billion data points were collected from November 2011 to August 2014. Strategies and methods were developed to format, clean, classify, and sort the various data sets to compensate for process lag time and to align timestamps, as well as to rank potential causes or indicators. GE Intelligent Platforms software was employed to develop decision trees for root cause analysis. Insights and possible correlations that were previously invisible or ignored were obtained across the mill, from pulp-ing, bleaching, and chemical recovery to the papermaking process. Several findings led the mill to revise selected process targets and to reconsider a step change in the drying process. These changes have exhibited significant impacts on the mill’s product quality, cost, and market performance. Mill-wide communications of the identified results helped transform the findings into executable actions. Several projects were initiated.
Journal articles
Magazine articles
Understanding the risks and rewards of using 50% vs. 10% strength peroxide in pulp bleach plants,TAPPI Journal December 2024
Authors: Alan W. Rudie and Peter W. Hart | TAPPI J. 17(11): 601(2018) - ABSTRACT: The use of 50% concentration and 10% concentration hydrogen peroxide were evaluated for chemical and mechanical pulp bleach plants at storage and at point of use. Several dangerous occurrences have been documented when the supply of 50% peroxide going into the pulping process was not stopped during a process failure. Startup conditions and leaking block valves during maintenance outages have also contributed to explosions. Although hazardous events have occurred, 50% peroxide can be stored safely with proper precautions and engineering controls. For point of use in a chemical bleach plant, it is recommended to dilute the peroxide to 10% prior to application, because risk does not outweigh the benefit. For point of use in a mechanical bleach plant, it is recommended to use 50% peroxide going into a bleach liquor mixing system that includes the other chemicals used to maintain the brightening reaction rate. When 50% peroxide is used, it is critical that proper engineering controls are used to mitigate any risks.
Conference papers
Recent advances in the commercialization of NIR (near-infrar
ABSTRACT: Near-infrared (NIR) spectroscopy techniques have held the promise of a new generation of online and lab based process analyzers for the pulping and recovery areas for some years now. NIR technology has been shown to be a quite effective method for the analysis of white, green and black liquors by multiple investigators. NIR reflectance techniques have been shown to be effective in predicting yield and kappa number in pulp samples. Recently, commercial analyzers have been developed for green liquor analysis on the dissolving tank, white and green liquor analysis in the recaust area and black liquor analysis on batch and continuous digesters. These analyzers are currently running at different mill sites and are proving to be superior to current technology choices for these applications. A commercial online and lab based yield and kappa number analyzer are currently being developed based on NIR reflectance techniques. Results will be presented on the performance of these analyzers relating to accuracy, maintenance and total installed cost. Other potential NIR applications in the pulping and recovery area will also be addressed.
Journal articles
Statistical determination of the effects of enzymes on bleached pulp yield, TAPPI JOURNAL, August 2005, Vol. 4(8) (80 KB)
Statistical determination of the effects of enzymes on bleached pulp yield, TAPPI JOURNAL, August 2005, Vol. 4(8) (80 KB)
Journal articles
Characterization of tensile fracture properties of paper, TAPPI JOURNAL, February 2000, Vol. 83(2)
Characterization of tensile fracture properties of paper, TAPPI JOURNAL, February 2000, Vol. 83(2)
Journal articles
Environmentally benign psas featured at recycling symposium, TAPPI JOURNAL, February 2000, Vol. 83(2)
Environmentally benign psas featured at recycling symposium, TAPPI JOURNAL, February 2000, Vol. 83(2)