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Magazine articles
Open Access
Using climate change policies for u.s. pulp and paper industry efficiency, TAPPI JOURNAL, July 2000, Vol. 83(7)

Using climate change policies for u.s. pulp and paper industry efficiency, TAPPI JOURNAL, July 2000, Vol. 83(7)

Magazine articles
Open Access
Advertising trends for publishers and magazines with the most ad pages, TAPPI JOURNAL, October 2000, Vol. 83(10)

Advertising trends for publishers and magazines with the most ad pages, TAPPI JOURNAL, October 2000, Vol. 83(10)

Magazine articles
Open Access
Challenges and opportunities for china's paper industry, TAPPI JOURNAL, October 2000, Vol. 83(10)

Challenges and opportunities for china's paper industry, TAPPI JOURNAL, October 2000, Vol. 83(10)

Magazine articles
Open Access
People development in research and technology organizations, TAPPI JOURNAL, October 2000, Vol. 83(10)

People development in research and technology organizations, TAPPI JOURNAL, October 2000, Vol. 83(10)

Magazine articles
Open Access
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)

Magazine articles
Open Access
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)

Magazine articles
Open Access
Setting a limit, TAPPI JOURNAL, July 2002, Vol. 1(5) (52KB)

Setting a limit, TAPPI JOURNAL, July 2002, Vol. 1(5) (52KB)

Magazine articles
Open Access
What's new with tappi test methods?, TAPPI JOURNAL, September 2000, Vol. 83(9)

What's new with tappi test methods?, TAPPI JOURNAL, September 2000, Vol. 83(9)

Journal articles
Magazine articles
Open Access
Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning, TAPPI Journal November 2019

ABSTRACT: Packaging manufacturers are challenged to achieve consistent strength targets and maximize pro-duction 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 ever-changing 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.

Journal articles
Magazine articles
Open Access
Effects of different ammonium lignosulfonate contents on the crystallization, rheological behaviors, and thermal and mechanical properties of ethylene propylene diene monomer/polypropylene/ammonium lignosulfonate composites, TAPPI Journal January 2020

ABSTRACT: Thermoplastic elastomer (TPE), made from ethylene propylene diene monomer (EPDM) and polypropylene (PP) based on reactive blending, has an excellent processing performance and characteristics and a wide range of applications. However, there are currently no reports in the literature regarding the usage of TPE in making composite boards. In this paper, EPDM, PP, and ammonium lignosulfonate (AL) were used as the raw materials, polyethylene wax was used as the plasticizer, and a dicumyl peroxide vulcanization system with dynamic vulcanization was used to make a new kind of composite material. This research studied the influences of the AL contents on the crystallization behaviors, rheological properties, thermal properties, and mechanical properties of the composites. The results showed that the AL content had a noticeable impact on the performance of the composite board. Accordingly, this kind of composite material can be used as an elastomer material for the core layer of laminated flooring.

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