We investigated the effect of the log ellipticity on the volume output of timber and production efficiency by means of simulation. The degree of ellipticity influence on the forecasting of timber production economic indicators accuracy is shown. We have found out that when the average ellipticity from 0 to 6 mm, so the volumetric output is reduced by about 1 %, and profitability decreases by 0.8…2.3 %.
This work is the final in the series of studies related to the issue of sorting logs by thickness while forming the sawing batches with optimal selection of sawlogs by diameter groups. In previous works, mathematical models linking the characteristics of logs and their cutting processes with the timber volume output and the sawmill profitability were obtained. Algorithms and programs for simulation studies of the sawn timber production process with reproduction of random variability of sizes and shapes of sawn logs, as well as their random displacement relative to the center of the sawing pattern were developed. Profitability of sawmill production was chosen as the criterion of optimality, the volume output of timber was used as a competing indicator. Fractional sorting of logs by thickness is used as a controllable optimizable variable, while ellipticity, curvature, and timber displacement from the center of the sawing pattern are treated as random interfering factors. Considering the log as a set of short sections threaded on a curved axis, we imitated its sawing process with random characteristics of shape and sizes. As a result, the change patterns of sawing production efficiency were determined while varying thickness, curvature, ellipticity and displacement of logs from the center of the sawing pattern. It was found that when sawing logs with an optimal sawing pattern, the simultaneous influence of random factors of log shape and accuracy of its location weakens the dependence of the timber volume output on the fractional sorting of logs according to the law close to the geometric summation of individual influences. Factors with large influence practically absorb factors with a smaller influence. The log curvature dominates among them. For suboptimal sawing patterns with the simultaneous influence of the three considered factors, the timber volume output is practically independent of the fractional sorting of logs by thickness. When sawing logs with shape defects by suboptimal sawing patterns on equipment with an imperfect basing system, sorting logs by thickness as a way to increase the volume output of sawn timber does not make sense. Random variation of log shape and accuracy of its centering, as well as the deviation of the parameters of sawing patterns from the optimal, causes a decrease in the optimal fractionality of selection of logs by thickness from 20 to 30 mm. Moreover, the greater the number of characteristics of log shape and its basing deviates from the ideal values and the greater these deviations, the more active the optimum fractional sorting of logs by thickness shifts to 3 or more even diameters. When preparing sawn material for mass sawing using modern technologies and equipment with rigid sawing patterns, it is advisable to sort logs by thickness through 2 even diameters. At random simultaneous variation of ellipticity of cross-sections of logs with an average value of 6 mm, their curvature with an average value of 0.25 % and displacement relative to the center of sawing pattern with an average value of 10 mm the optimum is sorting of sawn raw material through 3 even diameters.
The influence of the sweep of logs on the volume yield of sawn timber and the profitability of its production has been investigated by the method of simulation modeling. It is established that when the average sweep varies from 0 to 0.25%, the volume yield is reduced by 1.2 … 2.9%, the profitability is reduced by 2.7 … 5.8%. The contribution of the sweep of logs to the deviation of the real volume yield of sawn timber from its calculated value can reach 70 … 80%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.