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Journal articles
Predicting the strength of paper containing holes or cracks with the point stress criterion, TAPPI JOURNAL, January 1998, Vol. 81(1)
Predicting the strength of paper containing holes or cracks with the point stress criterion, TAPPI JOURNAL, January 1998, Vol. 81(1)
Journal articles
Focusing on the future of paper machines, TAPPI JOURNAL, January 1998, Vol. 81(1)
Focusing on the future of paper machines, TAPPI JOURNAL, January 1998, Vol. 81(1)
Journal articles
Rise in GDP should boost U.S. paper demand, sales, TAPPI JOURNAL, January 1998, Vol. 81(1)
Rise in gdp should boost u.s. paper demand, sales, TAPPI JOURNAL, January 1998, Vol. 81(1)
Journal articles
European project approaches, TAPPI JOURNAL, January 1998, Vol. 81(1)
European project approaches, TAPPI JOURNAL, January 1998, Vol. 81(1)
Journal articles
Energy marketing offered as new cost-control option, TAPPI JOURNAL, January 1998, Vol. 81(1)
Energy marketing offered as new cost-control option, TAPPI JOURNAL, January 1998, Vol. 81(1)
Journal articles
Static Control Methods in Hazardous Areas in Converting Oper
Static Control Methods in Hazardous Areas in Converting Operations, 1994 Polymers, Laminations & Coating Conference Proceedings
Journal articles
Pulping and Papermaking Properties of Managed Second-Growth
Pulping and Papermaking Properties of Managed Second-Growth Softwoods, 1995 Pulping Conference Proceedings
Journal articles
Tailoring Fiber Properties to Paper Manufacture: Recent Deve
Tailoring Fiber Properties to Paper Manufacture: Recent Developments, 1995 Pulping Conference Proceedings
Journal articles
Magazine articles
Numerical investigation of the effect of ultrasound on paper drying, TAPPI Journal March 2022
ABSTRACT: The paper drying process is very energy inefficient. More than two-thirds of the total energy used in a paper machine is for drying paper. Novel drying technologies, such as ultrasound (US) drying, can be assessed numerically for developing next-generation drying technologies for the paper industry. This work numerically illustrates the impact on drying process energy efficiency of US transducers installed on a two-tiered dryer section of a paper machine. Piezoelectric transducers generate ultrasound waves, and liquid water mist can be ejected from the porous media. The drying rate of handsheet paper in the presence of direct-contact US is measured experimentally, and the resultant correlation is included in the theoretical model. The drying section of a paper machine is simulated by a theoretical drying model. In the model, three scenarios are considered. In the first scenario, the US modules are positioned in the dryer pockets, while in the second scenario, they are placed upstream of the drying section right after the press section. The third case is the combination of the first and second scenarios. The average moisture content and temperature during drying, enhancement of total mass flux leaving the paper by the US mechanism, total energy consumption, and thermal effect of heated US transducers are analyzed for all cases. Results show that the application of the US can decrease the total number of dryer drums for drying paper. This numerical study is based on the US correlation obtained with the US transducer direct-contact with the paper sample. Thus, future work should include US correlation based on a non-contact US transducer.
Journal articles
Magazine articles
Predicting strength characteristics of paper in real time using process parameters, TAPPI Journal March 2022
ABSTRACT: Online paper strength testing methods are currently unavailable, and papermakers have to wait for manufacture of a complete reel to assess quality. The current methodology is to test a very small sample of data (less than 0.005%) of the reel to confirm that the paper meets the specifications. This paper attempts to predict paper properties on a running paper machine so that papermakers can see the test values predicted in real time while changing various process parameters. This study was conducted at a recycled containerboard mill in Chicago using the multivariate analysis method. The program provided by Braincube was used to identify all parameters that affect strength characteristics. Nearly 1600 parameters were analyzed using a regression model to identify the major parameters that can help to predict sheet strength characteristics. The coefficients from the regression model were used with real-time data to predict sheet strength characteristics. Comparing the prediction with test results showed good correlation (95% in some cases). The process parameters identified related well to the papermaking process, thereby validating the model. If this method is used, it may be possible to predict various elastic moduli (E11, E12, E22, etc.) in the future as the next step, rather than the traditional single number “strength” tests used in the containerboard industry, such as ring crush test (RCT), corrugating medium test (CMT), and short-span compression strength test.