Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine

Ahola, Timo; Leiviskä, Kauko

doi:10.20965/jaciii.2005.p0556

Cited by 5 publications

(3 citation statements)

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“…High conductivity affects the action of chemical additives, especially polymers, causing a loss of efficiency in mineral charge retention. Additionally, it reduces the tensile strength because it occupies the spaces where fiber-to-fiber contact used to occur, increasing the sensitivity to sheet breakage (Ahola, 2006;Lima, 2012). The industry under study has a clean circuit (below 10 mS), even with the use of RF.…”

Section: Resultsmentioning

confidence: 99%

Microcrystalline cellulose: an alternative to increase the resistance of kraft packaging with recycled fiber

Tienen,

Rodrigues

2024

Rev. Bras. Ciênc. Ambient.

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The consumption of paper packaging is increasing. On the contrary, the planted areas of Pinus spp. are showing a trend tendency of imbalance between supply and demand. Therefore, many companies are prioritizing the use of recycled fiber (RF). However, its inclusion can influence the quality of the product. This study aimed to evaluate whether the combination of RF with microscale cellulose will enable the production of resistant paper. The first step involved producing bench-scale samples of Kraft paper (with different percentages of virgin and RF) and characterized it physically (grammage, moisture, Gurley porosity, Z-traction, SCT, and Mullen). The second stage involved replicating the first stage with the inclusion of microcrystalline cellulose (MCC) and the elimination of Pinus spp. (LF). All formulations were approved for the physical characterization tests, except for the porosity analysis and grammage for F5. In the first test (MCC=0%), there was a reduction in tensile, compression, and burst index of 13.2, 7.3, and 19.5%, respectively, showing that the higher the percentage of RF, the lower the paper’s strength. In the second test for Formulation 3 (MCC=6%), there was an increase in the tensile, compression, and burst index of 9.5, 2.6, and 2.7%, respectively, when compared with Formulation 2 (LF=MCC=0%). This study demonstrates that the addition of up to 6% MCC strengthens the RFs and decreases the dependence on Pinus spp., making it a promising alternative for the production of sustainable and resistant packaging.

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Section: Resultsmentioning

confidence: 99%

Microcrystalline cellulose: an alternative to increase the resistance of kraft packaging with recycled fiber

Tienen,

Rodrigues

2024

Rev. Bras. Ciênc. Ambient.

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“…The indicator compares the new case to the examples in the case base and uses the information of the best fitting case to calculate the predicted break sensitivity. As output the system gives numerical value for the predicted amount of breaks [24,25]. Figure 1 shows the principal structure of the case base, and The structure of RETRIEVE and REUSE stages [25].…”

Section: Model-based Variable Groupingmentioning

confidence: 99%

“…As output the system gives numerical value for the predicted amount of breaks [24,25]. Figure 1 shows the principal structure of the case base, and The structure of RETRIEVE and REUSE stages [25].…”

Section: Model-based Variable Groupingmentioning

confidence: 99%

Variable Selection and Grouping in a Paper Machine Application

Ahola

Juuso

Leiviskä

2007

INT J COMPUT COMMUN

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This paper describes the possibilities of variable selection in large-scale industrial systems. It introduces knowledge-based, data-based and model-based methods for this purpose. As an example, Case-Based Reasoning application for the evaluation of the web break sensitivity in a paper machine is introduced. The application uses Linguistic Equations approach and basic Fuzzy Logic. The indicator combines the information of on-line measurements with expert knowledge and provides a continuous indication of the break sensitivity. The web break sensitivity defines the current operating situation at the paper mill and gives new information to the operators. Together with information of the most important variables this prediction gives operators enough time to react to the changing operating situation.

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A Review of Data Mining Techniques and Applications

Pruengkarn¹,

Wong²,

Fung³

2017

J. Adv. Comput. Intell. Intell. Inform.

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Data mining is the analytics and knowledge discovery process of analyzing large volumes of data from various sources and transforming the data into useful information. Various disciplines have contributed to its development and is becoming increasingly important in the scientific and industrial world. This article presents a review of data mining techniques and applications from 1996 to 2016. Techniques are divided into two main categories: predictive methods and descriptive methods. Due to the huge number of publications available on this topic, only a selected number are used in this review to highlight the developments of the past 20 years. Applications are included to provide some insights into how each data mining technique has evolved over the last two decades. Recent research trends focus more on large data sets and big data. Recently there have also been more applications in area of health informatics with the advent of newer algorithms.

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Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine

Cited by 5 publications

References 0 publications

Microcrystalline cellulose: an alternative to increase the resistance of kraft packaging with recycled fiber

Microcrystalline cellulose: an alternative to increase the resistance of kraft packaging with recycled fiber

Variable Selection and Grouping in a Paper Machine Application

A Review of Data Mining Techniques and Applications

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