Using the liquid nature of the stationary phase. VI. Theoretical study of multi-dual mode countercurrent chromatography

Countercurrent chromatography (CCC) is a separation technique using a biphasic liquid system and centrifugal forces to maintain a support-free liquid stationary phase. Either one of the two phases can be the liquid stationary phase. It is even possible to switch the phase role during the separation. The dual-mode method is revisited recalling its theoretical background. The multi-dual mode (MDM) CCC method was introduced to enhance the resolution power of a CCC column. The theoretical study of the MDM method is validated by modeling the separation of two solutes. The basic hypothesis is that the forward step (partial classical elution) is followed by a backward step that returns the less retained solute to the column head. The equations show that the most important parameter to maximize resolution is not the number of MDM steps but the total volume of liquid phases used to elute the solutes. The model is validated calculating correctly the peak position of previously published MDM experiments.     

Scale-up of counter-current chromatography: Demonstration of predictable isocratic and quasi-continuous operating modes from the test tube to pilot/process scale

Predictable scale-up from test tube derived distribution ratios and analytical-scale sample loading optimisation is demonstrated using a model sample system of benzyl alcohol and p-cresol in a heptane:ethyl acetate:methanol:water phase system with the new 18 L Maxi counter-current chromatography centrifuge. The versatility of having a liquid stationary phase with its high loading capacity and flexible operating modes is demonstrated at two different scales by separating and concentrating target compounds using a mixture of caffeine, vanillin, naringenin and carvone using a quasi-continuous technique called intermittent counter-current extraction.     

Dynamics of a horizontal saccadic oculomotor system with colored noise

Intermittent nystagmus is a special kind of nystagmus with an irregular attack time. Its pathogenesis remains unclear. Recently, nonlinear dynamic methods used to explore the mechanisms responsible for intermittent nystagmus have received increased attention. The current study examines the dynamic properties of the bistable horizontal saccadic oculomotor system driven by colored noise. The most probable amplitude, stationary probability density of response, and signal-to-noise ratio curves with different parameters are obtained through stochastic numerical simulation. Then, the stochastic P bifurcation and coherent resonance phenomenon of the saccadic oculomotor system are analyzed. Results indicate that inhibition strength, noise intensity, or correlation time could induce stochastic P bifurcation, which may explain the development of intermittent nystagmus. Further, it is found that intermittent nystagmus can be suppressed by increasing inhibition strength, and that correlation time and noise intensity can lead to coherence resonance.     

偏心滑轮间歇输片机构的改进

将双偏心滑轮间歇片机构的一个滑轮,改成偏心半径仅为主滑轮的1/m,并以两倍的速度旋转,可以有效地改善偏心滑轮机构的间歇输片特性。     

氢化物原子荧光光谱中高浓度镍对硒测定的影响及其消除

研究了高浓度镍对硒测定的影响，探讨了干扰的原因。找出了一系列抗干扰的试剂，这些试剂包括磷酸、柠檬酸、甲酸、酒石酸、草酸等。镍的允许量可高达５００００ｍｇ／Ｌ。文中对有关的机理作了初步的探讨。在此基础上制定了用氢化物－原子荧光光谱法直接测定金属镍中硒的方法。测定了电解镍、氧化镍中的硒，结果满意。方法的检测限为：Ｓｅ＝５．０ｎｇ／ｇ（１ｇ试样３σ，ｎ＝１１）。本文的研究成果也可适用于其它氢化物－原子光     

氢化物发生原子荧光光谱法测定镍基高温合金中痕量硒和碲

研究了用氢化物发生原子荧光光谱法测定镍基高温合金中痕量硒和碲。试验了氢化物发生的最佳条件、酸度和还原剂加入量以及在断续流动条件下镍、钴的干扰 ,并采用柠檬酸对其干扰进行抑制。提出了一个直接快速和准确测定镍基高温合金中硒和碲的分析方法 ,硒和碲的测量下限可达 5× 1 0 -5%。     

Turbulent flow dynamics caused by a truncated cylinder

The turbulent flow field around a quite simple geometry has been analysed in detail based on a snapshot database taken from numerical simulation. Here, emphasis is placed on the dominant coherent motion and the flow dynamics in the separated wake. The method-based analysis is performed using POD, filtering and phase-averaging. The results obtained show a highly intermittent flow topology, which reveals different (at least three) recurring vortex arrangements, but with considerably stochastic character. Corresponding frequencies, the periodicity as well as correlation and interaction of predominant vortex motions are discussed. The methods employed are not limited to the configuration exemplarily chosen.     

A two-step method for forecasting spare parts demand using information on component repairs

Forecasting spare parts demand is notoriously difficult, as demand is typically intermittent and lumpy. Specialized methods such as that by Croston are available, but these are not based on the repair operations that cause the intermittency and lumpiness of demand. In this paper, we do propose a method that, in addition to the demand for spare parts, considers the type of component repaired. This two-step forecasting method separately updates the average number of parts needed per repair and the number of repairs for each type of component. The method is tested in an empirical, comparative study for a service provider in the aviation industry. Our results show that the two-step method is one of the most accurate methods, and that it performs considerably better than Croston’s method. Moreover, contrary to other methods, the two-step method can use information on planned maintenance and repair operations to reduce forecasts errors by up to 20%. We derive further analytical and simulation results that help explain the empirical findings.     

Learning effects and the phenomenon of moving bottlenecks in a two-stage production system

This paper studies the effects of learning and forgetting on a two-stage production system and the position of a potential bottleneck in the system. We start with developing a model for a two-stage serial production system where semi-finished items are fed by the first stage to the second stage, which, in turn, processes the items to their final state. The finished items are transferred either to a subsequent stage or to customers. The paper assumes that both stages of the production system considered are subject to learning and forgetting effects. Learning quickens the production rate as more experience is gained (i.e., when the number of repetitions increases), while forgetting has the opposite effect when production is intermittent (i.e., experience is lost over production breaks). The paper studies how different values of the learning and forgetting parameters influence the ratio of the production rates of both stages and the flow of material in the system. The results of the paper indicate that learning may cause a bottleneck to shift its position in a production system. This happens when an initially slower stage overtakes a previously faster stage over time due to a higher learning rate. The paper thus contributes to the literature on moving bottlenecks and provides practitioners with a model that helps predicting where bottlenecks may arise in the production system, and which enables the system to flexibly react to moving bottlenecks.     

Weak synchronization of chaotic neural networks with parameter mismatch via periodically intermittent control

This paper deals with the synchronization of two coupled identical chaotic systems with parameter mismatch via using periodically intermittent control. In general, parameter mismatches are considered to have a detrimental effect on the synchronization quality between coupled identical systems: in the case of small parameter mismatches the synchronization error does not decay to zero or even a nonzero mean. Larger values of parameter mismatches can even result in the loss of synchronization. via intermittent control with periodically intervals, we can obtain the weak synchronization. Some sufficient conditions for the stabilization and weak synchronization of a large class of coupled identical chaotic systems will be derived by using Lyapunov stability theory. The analytical results are confirmed by numerical simulations.