Abstract
In this paper the predicted values of cutting power for band sawing machine (ST100R), which is used in the Polish sawmills, were presented. The values of cutting power were determined for wood of Scots pine (Pinus sylvestris L.), which was impregnated and not impregnated. These values were estimated using an innovative method of forecasting cutting forces, which takes into account the elements of fracture mechanics. The forecasts obtained in this way are compared with the values of cutting power estimated with the use of the classical method, which is based on the specific cutting resistance.
Highlights
By determining the energy effects of the material cutting process, one can optimally design the machine tools as well as the machining processes carried out on these machines
The most common approach to determining cutting forces in the wood cutting process is a model based on the proper specific cutting resistance kc [8-10]
In his book Atkins [3] shows that when determining the strength and cutting power, the fracture toughness of the workpiece is as important as strength or friction
Summary
The material that was analyzed was pine wood (Pinus sylvestris L.) impregnated (fig. 1) and non-impregnated, coming from the same batch of sawmill material from Sylva Sp. z o.o. in Wiele. The material that was analyzed was pine wood (Pinus sylvestris L.) impregnated 1) and non-impregnated, coming from the same batch of sawmill material from Sylva Sp. z o.o. in Wiele. Korasit KS2 from Kurt Obermeier GmbH & Co. KG. Material properties for the perpendicular direction of cutting speed relative to wood fibers, R⊥ (specific energy necessary to produce a fracture with a unit surface in the course of cutting) and yield shear stress in the shear zone τγ⊥, which were used to predict cutting power values I), was determined according to the methodology developed by Orłowski and described in [11,13] using the machinability tests on a PRW15M frame saw with elliptical trajectory of blades and a hybrid, dynamically balanced drive system [15]
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