Economies of the Kraft Paper Industry

1944 ◽  
Vol 22 (17) ◽  
pp. 1458-1463
Author(s):  
MARTIN WILLIAMS
Keyword(s):  
Paper Industry ◽  
Kraft Paper

scholarly journals Chemical Characterization and Enzymatic Control of Stickies in Kraft Paper Production

Polymers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 245
Author(s):  
Lourdes Ballinas-Casarrubias ◽  
Guillermo González-Sánchez ◽  
Salvador Eguiarte-Franco ◽  
Tania Siqueiros-Cendón ◽  
Sergio Flores-Gallardo ◽  
...  
Keyword(s):  
Liquid Fraction ◽  
Paper Industry ◽  
Chemical Characterization ◽  
Dioctyl Phthalate ◽  
Future Research ◽  
Infrared Spectrometry ◽  
Recycled Paper ◽  
Kraft Paper ◽  
Uv Lamp ◽  
Lipase Specificity

Paper recycling has increased in recent years. A principal consequence of this process is the problem of addressing some polymeric components known as stickies. A deep characterization of stickies sampled over one year in a recycled paper industry in México was performed. Based on their chemical structure, an enzymatic assay was performed using lipases. Compounds found in stickies by Fourier-transform infrared spectrometry were poly (butyl-acrylate), dioctyl phthalate, poly (vinyl-acetate), and poly (vinyl-acrylate). Pulp with 4% (w/w) consistency and pH = 6.2 was sampled directly from the mill once macrostickies were removed. Stickies were quantified by counting the tacky macrostructures in the liquid fraction of the pulp using a Neubauer chamber before the paper was made, and they were analyzed with rhodamine dye and a UV lamp. Of the two commercial enzymes evaluated, the best treatment condition used Lipase 30 G (Specialty Enzymes & Biotechnologies Co®, Chino, CA, USA) at a concentration of 0.44 g/L, which decreased 35.59% of stickies. SebOil DG (Specialty Enzymes & Biotechnologies®) showed a stickies reduction of 21.5% when used at a concentration of 0.33 g/L. Stickies in kraft paper processes were actively controlled by the action of lipases, and future research should focus on how this enzyme recognizes its substrate and should apply synthetic biology to improve lipase specificity.

scholarly journals Utilization of Siwalan (Borassus flabellifer L.) Plantation Waste for Kraft Paper Production

2019 ◽  
Vol 11 (1) ◽  
pp. 1-5
Author(s):  
Azmi Alvian Gabriel ◽  
Yunita Siti Mardhiyyah
Keyword(s):  
Block Design ◽  
Paper Industry ◽  
Raw Material ◽  
North Coast ◽  
Physical Quality ◽  
Paper Production ◽  
Kraft Paper ◽  
Leaf Midrib ◽  
Tear Resistance

Borassus flabellifer L., one of the palm-based commodities in Indonesia which is grows in dry areas especially around the north coast of Java Island. An abundant waste of this plant is a leaf midrib and fruit fiber have an opportunity as a source of lignocellulose for the paper industry. In this study, Kraft paper production was conducted to know the influence of the proportion of Borassus flabellifer L. leaf midrib pulp and fruit fiber pulp, and the concentration of Polyvinyl Acetate (PVAc) adhesives on the sensory and physical quality of kraft paper. The research method used was Randomized Block Design (RBD) with two factors. The Friedman test was used to determine the sensory quality of kraft paper. The physical quality of kraft paper was used ANOVA analysis. The results showed that the treatment of raw material proportion and PVAc adhesive concentration had significant effect on color, surface texture, yield, and tensile resistance, but not significantly different between treatment of gramature and tear resistance. The best treatment of sensory tests was kraft paper with proportion of leaf midrib pulp 50% and fruit fiber pulp 50% and a 7.5% PVAc adhesive concentration. It has a yield value of 72.11%, gramature of 162.80 g/m2, tensile strength of 1.70 %, and tear resistance of 197.6 gf.

scholarly journals Chemical Characterization and Enzymatic Control of Stickies in Kraft Paper Production

2019 ◽  
Author(s):  
Lourdes Ballinas-Casarrubias ◽  
Guillermo González-Sánchez ◽  
Salvador Eguiarte-Franco ◽  
Tania Siqueiros-Cendon ◽  
Sergio Flores-Gallardo ◽  
...  
Keyword(s):  
Liquid Fraction ◽  
Paper Industry ◽  
Chemical Characterization ◽  
Dioctyl Phthalate ◽  
Future Research ◽  
Infrared Spectrometry ◽  
Recycled Paper ◽  
Kraft Paper ◽  
Uv Lamp ◽  
Lipase Specificity

Paper recycling has increased in recent years. A principal consequence of this process is the problem of addressing polymeric components known as stickies. A deep characterization of stickies sampled over one year in a recycled paper industry in México was performed. Based on their chemical structure, an enzymatic assay was performed using lipases. Compounds found in stickies by Fourier-Transform Infrared spectrometry were poly (butyl-acrylate), dioctyl phthalate, poly (vinyl-acetate), and poly (vinyl-acrylate). Pulp with 4% consistency and pH=6.2 was sampled directly from the mill once macro stickies were removed. Stickies were quantified by counting the tacky macrostructures in the liquid fraction of the pulp using a Neubauer chamber before the paper was made, and they were analyzed with rhodamine dye and a UV lamp. Of the two enzymes evaluated, the best treatment condition used Lipase 30G at a concentration of 0.44 g/L, which produced a 35.59% decrease in stickies. SebOil DG showed a smaller stickies reduction of 21.5% when used at a concentration of 0.33 g/L. Stickies in kraft paper processes were actively controlled by the action of lipases, and future research should focus on how this enzyme recognizes its substrate and should apply synthetic biology to improve lipase specificity.

scholarly journals Utilization of Siwalan (Borassus flabellifer L) Plantation Waste for Kraft Paper Production

2017 ◽  
Vol 9 (1) ◽  
pp. 38-43
Author(s):  
Azmi Alvian Gabriel
Keyword(s):  
Block Design ◽  
Paper Industry ◽  
Raw Material ◽  
North Coast ◽  
Physical Quality ◽  
Paper Production ◽  
Kraft Paper ◽  
Leaf Midrib ◽  
Tear Resistance

Borassus flabellifer L., one of the palm-based commodities in Indonesia which is grows in dry areas especially around the north coast of Java Island. An abundant waste of this plant is a leaf midrib and fruit fiber have an opportunity as a source of lignocellulose for the paper industry. In this study, Kraft paper production was conducted to know the influence of the proportion of Borassus flabellifer L. leaf midrib pulp and fruit fiber pulp, and the concentration of Polyvinyl Acetate (PVAc) adhesives on the sensory and physical quality of kraft paper. The research method used was Randomized Block Design (RBD) with two factors. The Friedman test was used to determine the sensory quality of kraft paper. The physical quality of kraft paper was used ANOVA analysis. The results showed that the treatment of raw material proportion and PVAc adhesive concentration had significant effect on color, surface texture, yield, and tensile resistance, but not significantly different between treatment of gramature and tear resistance. The best treatment of sensory tests was kraft paper with proportion of leaf midrib pulp 50% and fruit fiber pulp 50% and a 7.5% PVAc adhesive concentration. It has a yield value of 72.11%, gramature of 162.80 g/m2, tensile strength of 1.70 %, and tear resistance of 197.6 gf.

Application of near-Infrared Spectroscopy to Predict Paper Properties of Acacia

2011 ◽  
Vol 236-238 ◽  
pp. 1372-1378 ◽  
Author(s):  
Shu Ping Song ◽  
Hao Zhang ◽  
Qian Lang ◽  
Jun Wen Pu
Keyword(s):  
Mathematical Model ◽  
Infrared Spectroscopy ◽  
Physical Properties ◽  
Mathematical Models ◽  
Spectral Data ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Paper Industry ◽  
Paper Properties ◽  
Kraft Paper

First attempt to predicting physical properties of paper by Near Infrared Spectroscopy (abbreviated as NIRS) mathematical model, Acacia is a kind of fast-growing tree which is a potential resource in pulp and paper industry. The mathematical models of physical properties of Acacia unbleached kraft paper were established by software OPUS6.5 of Near Infrared Spectroscopy. Spectral data of Acacia unbleached kraft paper were acquired by Near-Infrared. Physical properties, which include quality, whiteness, tensile index, burst index and tear index, of the paper were measured by GB methods. NIRS mathematical models between the spectral data and the laboratory reference values were established and optimized by software OPUS6.5 partial least squares (abbreviated as PLS). The NIRS mathematical models were evaluated by its parameters, and used to predict the physical properties of unknown samples rapidly and accurately. Compared with NIRS mathematical model of physical properties of Acacia unbleached kraft pulp, the NIRS mathematical models of paper have a better prediction on unknown samples; Compared with traditional laboratory methods, predicting properties of paper by the NIRS mathematical models of paper is rapid, accurate and non-destructive.

Co-cooking nonwoods with hardwoods

TAPPI Journal ◽  
2014 ◽  
Vol 13 (6) ◽  
pp. 19-24
Author(s):  
TROY RUNGE ◽  
CHUNHUI ZHANG
Keyword(s):  
High Performance Liquid Chromatography ◽  
High Performance ◽  
Paper Industry ◽  
Pulp And Paper Industry ◽  
Strength Properties ◽  
Agricultural Residues ◽  
Kraft Pulping ◽  
Pulp And Paper ◽  
Strength Increase ◽  
Xylan Content

Agricultural residues and energy crops are promising resources that can be utilized in the pulp and paper industry. This study examines the potential of co-cooking nonwood materials with hardwoods as means to incorporate nonwood material into a paper furnish. Specifically, miscanthus, switchgrass, and corn stover were substituted for poplar hardwood chips in the amounts of 10 wt %, 20 wt %, and 30 wt %, and the blends were subjected to kraft pulping experiments. The pulps were then bleached with an OD(EP)D sequence and then refined and formed into handsheets to characterize their physical properties. Surprisingly, all three co-cooked pulps showed improved strength properties (up to 35%). Sugar measurement of the pulps by high-performance liquid chromatography suggested that the strength increase correlated with enriched xylan content.

Corrosion monitoring and root cause identification in high solids concentrators

TAPPI Journal ◽  
2016 ◽  
Vol 15 (7) ◽  
pp. 467-477
Author(s):  
PASI NIEMELAINEN ◽  
MARTTI PULLIAINEN ◽  
JARMO KAHALA ◽  
SAMPO LUUKKAINEN
Keyword(s):  
Paper Industry ◽  
Black Liquor ◽  
Construction Materials ◽  
Open Circuit ◽  
Process Conditions ◽  
Potential Range ◽  
Corrosion Monitoring ◽  
General Corrosion ◽  
High Solids ◽  
Passive Area

Black liquor high solids (about 80%) concentrators have often been found to suffer from aggressive corrosion. In particular, the first and second effect bodies are susceptible to corrosion attacks resulting in tube leaks and wall thinning, which limit the availability and lifetime of evaporator lines. Corrosion dynamics and construction materials have been studied extensively within the pulp and paper industry to understand the corrosion process. However, it has been challenging to identify root causes for corrosion, which has limited proactive measures to minimize corrosion damage. Corrosion of the first phase concentrator was studied by defining the potential regions for passive area, stress corrosion cracking, pitting corrosion, and general corrosion. This was achieved by using a technique called polarization scan that reveals ranges for the passive area in which the equipment is naturally protected against corrosion. The open circuit potential, also known as corrosion potential, and linear polarization resistance of the metal were monitored online, which allowed for definition of corrosion risks for stainless steel 304L and duplex stainless steels 2205 and SAF 2906. An online temperature measurement added insight to the analysis. A process diagnostics tool was used to identify root causes of the corrosion attacks. Many of the root causes were related to process conditions triggering corrosion. Once the metal surface was activated, it was difficult to repassivate the metal naturally unless a sufficient potential range was reached.

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

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