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Optical 3D crepe reconstruction for industrial base tissue paper characterization

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A Correction to this article was published on 01 October 2022

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Abstract

The softness is an important property of tissue papers products and can be a differentiating factor in terms of consumers preference. So, the manufactures have a concern of optimizing this property starting in their industrial base tissue papers. In this work, a dedicated optical system was used for the surface topography reconstruction to characterize the crepe of 13 different industrial base tissue papers, and to study the relationships with their structural properties. In this context, the main objective was the analysis of the 3D reconstruction surface maps of the samples and the corresponding Fourier transformations for the crepe characterization considering the dominant spatial frequencies, depth, and wavelengths of the crepe folds per length unit. A thorough and detailed study was carried out using only the 4 samples that were found to be the extreme cases in terms of handfeel (HF), the worst two and the best two. These calculations, together with the 3D maps obtained with the optical system, the global and magnified images of their surfaces, and the images of their fibrous suspensions, allowed to infer and discriminate the differences that exist between them, which are important for the evaluation and optimization of the global tissue paper quality in line with the conventional methods.

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Acknowledgments

Finally, the authors acknowledge the materials, access to equipment and installations, and all the general support given by The Navigator Company, RAIZ, and the Optical Center, Department of Physics, Department of Textile Science and Technology, and Department of Chemistry of the Universidade da Beira Interior.

Funding

The authors gratefully acknowledge the funding of this work that was carried out under the Project InPaCTus—Innovative Products and Technologies from Eucalyptus, Project Nº 21874 funded by Portugal 2020 through European Regional Development Fund (ERDF) in the frame of COMPETE 2020 nº 246/AXIS II/2017. The authors are very grateful for the support given by research unit Fiber Materials and Environmental Technologies (FibEnTech-UBI), on the extent of the project reference UIDB/00195/2020, funded by the Fundação para a Ciência e a Tecnologia, IP/MCTES through national funds (PIDDAC).

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Correspondence to Joana C. Vieira.

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The original online version of this article was revised: Figure 6 was updated.

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Vieira, J.C., de O. Mendes, A., Carta, A.M. et al. Optical 3D crepe reconstruction for industrial base tissue paper characterization. Cellulose 29, 9919–9934 (2022). https://doi.org/10.1007/s10570-022-04833-x

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  • DOI: https://doi.org/10.1007/s10570-022-04833-x

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