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Study of Thickness Variability of the Floorboard Surface Layer

  • Agnieszka KujawińskaEmail author
  • Michał Rogalewicz
  • Magdalena Diering
  • Krzysztof Żywicki
  • Adam Hamrol
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 183)

Abstract

A characteristic feature of the wood machining processes is a high level of data uncertainty from these processes. This uncertainty is due to the influence of material environment, but also of the measurement system. On the one hand, the quality of the data is affected by the inhomogeneity of raw wood material, the uniqueness of its structure, the randomness of its natural defects, wood deformation and because of nature of wood, which depends on the conditions/environmental parameters. Moreover, the uncertainty of the measured data results from the engineering problems associated with the inaccuracy of cutting process and method of measuring the geometrical characteristics of wood. The subject of authors research is production process of the floorboard surface layer (lamella). Due to the material loss in the process of equalization of cut off wood plies, there is a need to redesign (develop) methodology of the rules to select material allowances. One of the stages of research leading to that is to describe statistical models which explain the nature of the observed variability of chosen woodworking operations. One of the critical features in the production process of the floorboard surface layer is its thickness. The paper discusses the engineering problems associated with the measuring method of this feature. Based on the observations and research results, a new methodology for measuring the thickness of the lamella is proposed. The study proposes a method and organization of measurement performance—the number and layout (net) of measuring points (grid points) on the surface of the lamella, the choice of measuring instruments, and the size and frequency of sampling. The proposed approach allowed to increase the usefulness of measurement results. According to the new methodology, date were acquired. Based on this—for chosen woodworking operations: cutting, drying and grinding—the statistical models of lamella thickness variation were built. The article describes these three models. These models will be used to decide whether to redesign a model of tolerance and the methodology of the rules to select material allowances for each operation. The authors formulate conclusions and recommendations to improve the methodology of the lamella thickness measuring.

Keywords

Raw wood Floorboard surface layer (lamella) Thickness measure Statistical models 

Notes

Acknowledgements

The presented results are derived from a research project “Improvement of raw wood efficiency in the industrial production processes” (EFFraWOOD), conducted by Chair of Management and Production Engineering, Faculty of Mechanical Engineering and Management, Poznan University of Technology, Poland, supported by the National Centre for Research and Development (NCBR) within the framework of the strategic R&D program “Environment, agriculture and forestry”—BIOSTRATEG.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Agnieszka Kujawińska
    • 1
    Email author
  • Michał Rogalewicz
    • 1
  • Magdalena Diering
    • 1
  • Krzysztof Żywicki
    • 1
  • Adam Hamrol
    • 1
  1. 1.Faculty of Mechanical Engineering and ManagementPoznan University of TechnologyPoznańPoland

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