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Journal articles
Effect of entrained air on the performance of a pressure screen, TAPPI JOURNAL, September 2000, Vol. 83(9)
Effect of entrained air on the performance of a pressure screen, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Design and operation of a woodwaste cogeneration plant, TAPPI JOURNAL, September 2000, Vol. 83(9)
Design and operation of a woodwaste cogeneration plant, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Computational modelling of paper drying machines, TAPPI JOURNAL, September 2000, Vol. 83(9)
Computational modelling of paper drying machines, TAPPI JOURNAL, September 2000, Vol. 83(9)
Magazine articles
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Steambox comparator experiments: apparatus validation and investigation of steambox performance, TAPPI JOURNAL, September 2000, Vol. 83(9)
Steambox comparator experiments: apparatus validation and investigation of steambox performance, TAPPI JOURNAL, September 2000, Vol. 83(9)
Magazine articles
Environmental issues continue to be a major industry concern, TAPPI JOURNAL, September 2000, Vol. 83(9)
Environmental issues continue to be a major industry concern, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Qualification of welding procedures for duplex stainless steels, TAPPI JOURNAL, September 2000, Vol. 83(9)
Qualification of welding procedures for duplex stainless steels, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Impulse drying of board grades; pilot production trials, TAPPI JOURNAL, September 2000, Vol. 83(9)
Impulse drying of board grades; pilot production trials, TAPPI JOURNAL, September 2000, Vol. 83(9)
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.