Prediction at Long Terms of the Atmospheric Corrosion of Structural Steels from Short-Term Experimental Data

2009 ◽  
pp. 339-339-20 ◽  
Author(s):  
AA Bragard ◽  
HE Bonnarens
Keyword(s):  
Experimental Data ◽  
Atmospheric Corrosion ◽  
Structural Steels ◽  
Short Term

Corrosion of Metals in Tropical Environments (Part 2—Atmospheric Corrosion of Ten Structural Steels)

CORROSION ◽  
1958 ◽  
Vol 14 (9) ◽  
pp. 55-59 ◽  
Author(s):  
C. R. SOUTHWELL ◽  
B. W. FORGESON ◽  
A. L. ALEXANDER
Keyword(s):  
Atmospheric Corrosion ◽  
Structural Steels ◽  
Tropical Environments

Mathematical model of aerobic stabilization of old landfills

2012 ◽  
Vol 66 (6) ◽  
Author(s):  
Radoslaw Slezak ◽  
Liliana Krzystek ◽  
Stanisław Ledakowicz
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Organic Carbon ◽  
Aeration Rate ◽  
High Rate ◽  
Experimental Simulation ◽  
Co2 Production ◽  
Organic Carbon Content ◽  
Short Term ◽  
Aerobic Stabilization

AbstractA short-term aerobic stabilization of digested waste in the final methane phase was studied. The effect of aeration rate on the reduction of leachate parameters and on the rate of CO2 production and O2 assimilation was investigated. Experimental simulation of aerobic landfill stabilization was carried out using lysimeters. When testing the effect of aeration rate on the reduction of leachate indices (BOD5, COD, N-NH4+), it was reported that the most significant reduction was obtained at the highest rate of aeration and the smallest reduction of leachate indices was attained not at the lowest but at medium aeration rates. Both the rate of CO2 production and the O2 assimilation reached their highest values in the lysimeters aerated at a high rate of aeration. The proposed mathematical model which consists of a system of five differential equations describing CO2 production, O2 assimilation and the changes of organic carbon content in the leachate correspond well with the experimental data.

scholarly journals Voltage Degradation Model of Thin Film Capacitors

1985 ◽  
Vol 12 (1) ◽  
pp. 63-70
Author(s):  
T. M. Berlicki
Keyword(s):  
Thin Film ◽  
Experimental Data ◽  
Breakdown Voltage ◽  
Short Term ◽  
Degradation Model ◽  
Damage Rate ◽  
Thin Film Capacitors ◽  
Voltage Degradation ◽  
Critical Damage

A degradation model of thin film capacitors is presented. This model takes into consideration that: (a) the damage rate dD/dt is a function of the damage value D, and (b) the critical damage Dcis a function of working voltage. On the base of this model, the short term breakdown voltage and its distribution is defined. The experimental data presented conforms with the described model.

scholarly journals Effects of short-term plasticity in early olfactory information processing in Drosophila

2021 ◽  
Author(s):  
Yuxuan Liu ◽  
Qianyi Li ◽  
Chao Tang ◽  
Shanshan Qin ◽  
Yuhai Tu
Keyword(s):  
Experimental Data ◽  
Adaptive Response ◽  
Neural Circuit ◽  
Dominant Factor ◽  
Projection Neurons ◽  
Short Term ◽  
Information Process ◽  
Short Term Plasticity ◽  
Olfactory Information ◽  
Divisive Normalization

In Drosophila, olfactory information received by the olfactory receptor neurons (ORNs) is first processed by an incoherent feed forward neural circuit in the antennal lobe (AL) that consists of ORNs (input), the inhibitory local neurons (LNs), and projection neurons (PNs). This "early" olfactory information process has two important characteristics. First, response of a PN to its cognate ORN is normalized by the overall activity of other ORNs, a phenomenon termed "divisive normalization". Second, PNs respond strongly to the onset of ORN activities, but they adapt to prolonged or continuously increasing inputs. Despite the importance of these characteristics for learning and memory, their underlying mechanism remains not fully understood. Here, we develop a circuit model for describing the ORN-LN-PN dynamics by including key features of neuron-neuron interactions, in particular short-term plasticity (STP) and presynaptic inhibition (PI).Our model shows that STP is critical in shaping PN's steady-state response properties. By fitting our model to experimental data quantitatively, we found that strong and balanced short-term facilitation (STF) and short-term depression (STD) in STP is crucial for the observed nonlinear divisive normalization in Drosophila. By comparing our model with the observed adaptive response to time-varying signals quantitatively, we find that both STP and PI contribute to the highly adaptive response with the latter being the dominant factor for a better fit with experimental data. Our model not only helps reveal the mechanisms underlying two main characteristics of the early olfactory process, it can also be used to predict the PN responses to arbitrary time-dependent signals and to infer microscopic properties of the circuit (such as the strengths of STF and STD) from the measured input-output relation.

scholarly journals FORMATION OF NANOCRYSTAL STATE IN DETAILS OF CARBON STRUCURAL STEELS

2018 ◽  
pp. 113-118
Author(s):  
A. A. Andrushevich ◽  
G. I. Aniskovich ◽  
P L. Kantor ◽  
D. V. Kuchuk
Keyword(s):  
Experimental Data ◽  
Heat Treatment ◽  
Mechanical Characteristics ◽  
Structural Steels ◽  
Carbon Steels ◽  
Agricultural Machinery ◽  
Working Bodies

The conditions of formation of the nanocrystal state of the structure in carbon steels are considered in the article. The methods of research and experimental data on the microstructural structure of the strengthened parts of the working bodies of agricultural machinery made from carbon steels of the lowered hardenability are given. It is shown that pulsed quenching and low tempering provides of steel products with fragmented nanocrystal structure of the martensite. Fragmentation of martensite grains in carbon structural steels during heat treatment of parts significantly increases their mechanical characteristics.

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