G. Keturakis “Research on wood milling tool wear and evaluation of milled surface quality” doctoral thesis defence

Author, Institution: Gintaras Keturakis, Kaunas University of Technology

Science area, field of science: Technological Sciences, Materials Engineering, 08T

Doctoral Thesis was prepared externally.

Scientific adviser: Assoc. Prof. Dr. Regita Bendikienė (Kaunas University of Technology, Technological Sciences, Materials Engineering – 08T).

Dissertation Defence Board of Materials Engineering Science Field:
Prof. Dr. Rimvydas Milašius (Kaunas University of Technology, Technological Sciences, Materials Engineering – 08T) – chairman,
Prof. Dr. Tomasz Krystofiak (Poznan University of Natural Sciences, Technological Sciences, Materials Engineering – 08T),
Prof. Dr. Daiva Mikučionienė (Kaunas University of Technology, Technological Sciences, Materials Engineering – 08T),
Prof. Dr. Juozas Padgurskas (Aleksandras Stulginskis University, Technological Sciences, Materials Engineering – 08T),
Assoc. Prof. Kristina Žukienė (Kaunas University of Technology, Technological Sciences, Materials Engineering – 08T).

 The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas).

Annotation:

The developed research methodology and equipment may be used so that to assess the resistance of wood milling knives to wear. This methodology suits for the selection of milling knives because the chemical composition of the steel of knives of the most manufacturers is known; however, the prices of knives of a similar type produced by different manufacturers may differ several times. This research methodology creates possibilities to select the optimal wood milling modes by taking into account the chemical composition of the tool, its thermal treatment and performance characteristics. When the influence of various technological factors and/ or the type of the processed wood or material are changed, it is possible to imitate various milling conditions in order to assess the behavior of the cutting edge of the milling knives, the energy input of the milling mode and the quality of the milled surfaces. The complex or individual evaluation of the influence of each factor allows selecting the optimal milling modes in compliance with the preset criteria for the energy input and the quality of the milled surfaces.