Adaptive control of diamond drilling of nonmetallic materials

The basic principles for selecting the work regimes for diamond drilling of nonmetallic materials are presented. The process of microcutting by a single diamond grain is examined, and relations between the components of the cutting force and the ratio of the rate of the main motion to the feed rate are obtained on the basis of known relationships. It is shown that adaptive control of the drilling nonmetallic materials is possible using two-circuit systems — one for feed-rate control and one for cutting-rate. __________ Translated from Steklo i Keramika, No. 3, pp. 28–30, March, 2007.     

Thermodynamic time and microstress tensor in Vakulenko's form

The significance of the concepts of thermodynamic time and microstress tensor introduced by A. A. Vakulenko for development of the theory of viscoplasticity is analyzed.Translated from Problemy Prochnosti, No. 5, pp. 56–58, May, 1991.     

Optimal representation of cycles in arithmetic graphs

The paper considers representation of Hamiltonian circuits by natural arithmetic graphs.Translated from Kibernetika, No. 1, pp. 17–20, January–February, 1991.     

由呼出气中的氡浓度估计铀矿工体内~(225)Ra的负荷量

本文测量了某铀矿不同工种的56名矿工下矿井作业前的呼出气中的~(222)Rn浓度,并由此估算了他们体内的~(226)Ra 负荷量。按不同工种的人数加权,呼出气中的~(222)Rn 浓度平均值为34.1Bqm~(-3),体内~(226)Ra 负荷量的均值为1.95kBq。同时还对9名休息了2天的和2名离开井下作业3—4年的矿工以及12名来下过矿井的本矿工人呼出气中氡浓度进行了测量,由此估算出其体内~(226)Ra 负荷量的均值分别为1.11、0.94和0.17kBq。     

α厚层测量法的定标方法探讨

本文比较了几种常用的α厚层测量法的定标方法。实验结果表明,共沉淀法是一种比较理想的定标方法,它所制得的标准样品的定标曲线线性较好,探测效率较稳定。     

Some operational calculus formulas for step functions

One-dimensional Laplace transforms are given for some step functions.Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 52, No. 6, pp. 999–1003, June, 1987.     

On-line learning delivery decision support system for highlyproduct mixed semiconductor foundry

A production learning system (PLS) based on the tool model was constructed as a decision support and real-time information update system to forecast the cycle time. A tool model includes a waiting model and a processing model. Each of the waiting and processing models uses a backpropagation neural network to establish the relationship between the input and output (time) of the model. Hence, cycle time estimation, tool group move and confirm line item performance (CLIP) value can be obtained based on the memory stored in the neural network. The result shows that the forecasting ability of the PLS has an error rate below 8% on average