Simulation fuzzy and geometric modeling of debarking technologies labor objects
The problem of modeling the object of labor debarking technology (timber) has been studied. From the size and quality characteristics clearly they are modeled shape pa- rameters: roundness, local curvature and length parameters: length of knot free zone, the thickness of knots, and angle of knot ingrowth. Some parameters for which there are reliable statistical data are modeled probabilistically. Accepted parameters of shape and knots are most closely correlated with the values of the thickness of the trunk at breast height, thedistance from the butt, afforestation completeness, and tree height. That is why a fuzzy inference is made depending on the variation of these parameters. To formalize a fuzzy inference it is made a formulation of the problem, including the formu- lation of the problem in the general form of the introduction of fuzziness, fuzzy rules to develop products and fuzzy output resulting functions in the environment among the Fuzzy Logic Toolbox (application MatLab). Fuzzy conclusions of each function are combined in a generalized fuzzy model of forest material, which is integrated with its geometrical model. The basis of the geometric machine is an algorithm that manages the standard functions of Solid Works for the construction of a geometric model of timber with the parameters defined in the refuzzy inference result. As a result, timber fuzzy model is realized in the form of a geometric model in three-dimensional environment Solid Works. For practical application in the modeling process flows it is developed a simulation model of fuzzy geometric timber. In general, it is proposed the methodology, based on which it is possible to generate visual objects processed logs and obtain reliable baseline data on loads of timber production processes and in particular debarking.