Affiliation:
1. Warsaw University of Life Sciences – SGGW Faculty of Wood Technology Department of Mechanical Processing of Wood
Abstract
Delamination is one of the most common defects in the processing of wood-based materials. It has a massive impact on the quality of the final product. In order to determine the delamination indicators simply and reliably, the automatic image processing method can be used (Śmietańska et al., 2020). Bator and Śmietańska (2019) proposed a special algorithm to estimate the straight line representing a milling edge. However, this algorithm is quite complicated. The aim of this article is to check whether the aforementioned (complicated) algorithmic way can be replaced by a much simpler idea – the precise manual positioning of the scanned sample on a scanner (using a very simple device installed on the scanner). Special experimental research was carried out to compare the effectiveness of the two different methods. The straight line representing the rebate edge identified by the Bator and Śmietańska (2019) algorithm was usually accurate to 1 pixel (0.02 mm). Based on the assumption that the scanned samples were perfectly positioned on the scanner, the analogue line only sometimes fit just as well. At worst, the distance between these lines is 0.2 mm. Usually, the distance did not exceed 0.16 mm but it was significant and quite random. There was no statistically significant correlation between this parameter (Dmax) and tool condition (VB). It means that the samples were not perfectly positioned. They were placed, more or less, in the same position because of the imperfect stiffness of the frame installed on the scanner and human errors.
Reference9 articles.
1. BATOR M., ŚMIETAŃSKA K., 2019: Constraint-based algorithm to estimate the line of a milling edge. Machine Graphics and Vision 28(1/4): 59–67
2. LEMASTER R. L., LU L., JACKSON S., 2000: The use of process monitoring techniques on a CNC wood router. Part 2. Use of a vibration accelerometer to monitor tool wear and workpiece quality. Forest Products Journal 50(9): 59–64
3. PALANIKUMAR K., PRAKASH S., MANOHARAN N., 2009: Experimental investigation and analysis on delamination in drilling of wood composite medium density fiber boards. Materials and Manufacturing Processes 24(12): 1341–1348
4. PRAVEN R. P., ELAYA P., 2013: A prediction of delamination in end milling of GFRP using ANSYS. East Asian Science Technology and Society an International Journal AIJSTPME 6(2): 39–46
5. ROMOLI L., DINI G., 2008: Experimental study on the influence of drill wear in CFRP drilling process. Proceedings of: 6th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, July 23-25 2008, Naples: 145–149