Multiple linear regression to predict the brightness of waste fibres mixtures before bleaching

Author:

Tofani GiorgioORCID,Cornet Iris,Tavernier Serge

Funder

Agentschap Innoveren en Ondernemen

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Industrial and Manufacturing Engineering,General Chemical Engineering,Biochemistry,General Chemistry

Reference42 articles.

1. Abd El-Sayed ES, El-Sakhawy M, Abdel-Monem El-Sakhawy M (2020) Non-wood fibers as raw material for pulp and paper industry. Nord Pulp Pap Res J 35(2):1–16. https://doi.org/10.1515/npprj-2019-0064

2. Adamopoulos S, Karageorgos A, Rapti E, Birbilis D (2016) Predicting the properties of corrugated base papers using multiple linear regression and artificial neural networks. Drewno 59(198):61–72

3. Adamoupolos S, Oliver JV (2006) Fibre composition of packaging grade papers as determined by the graff “C” staining test. Wood and Fibre Sci 38(4):567–575

4. Ahvazi B, Cloutier E, Wojciechowicz O, Ngo TD (2016) Lignin profiling: a guide for selecting appropriate lignin as precursors in biomaterials development. ACS Sustain Chem Eng 4(10):5090–5105

5. Bajpai P (2014) Recycling and deinking of recovered paper. Elsevier, London, United Kingdom

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