The Stability of Potassium Ferrate in Water

2014 ◽  
Vol 881-883 ◽  
pp. 215-218
Author(s):  
Kai Luo ◽  
Gang Cao ◽  
Ming Yu Li ◽  
Gang Ren
Keyword(s):  
Influencing Factors ◽  
Potassium Ferrate ◽  
The Stability

The influencing factors of the stability for the potassium ferrate (K2FeO4), including pH, alkalinity, O3, KI, KClO3, KCl, NaClO3and Na2SiO3, were studied in this work. The results showed that the K2FeO4stability in water is best at about pH=10. The higher the alkalinity is, the stronger of K2FeO4stability would be. The O3had no effect to improve the K2FeO4stability. The K2FeO4stability would be best in water with 15mmol/L NaClO3, 10mmol/L Na2SiO3and 9mol/L alkalinity. Under this condition, the K2FeO4content would be 83.28% after 24h.

scholarly journals Research on the influencing factors of family firm innovation

2021 ◽  
Vol 235 ◽  
pp. 02017
Author(s):  
Yingrui Liu
Keyword(s):  
Influencing Factors ◽  
Family Involvement ◽  
Family Business ◽  
External Environment ◽  
Family Firm ◽  
Economic Activities ◽  
Firm Innovation ◽  
Strategic Focus ◽  
The Stability ◽  
Innovation Behavior

Family business plays an important role in the world’s economic activities, and has made great contributions to the stability and development of the economy of various countries. Innovation is an important but inexplicable part of the strategic focus of family business. Based on the existing literature, this paper discusses the factors that influence the innovation behavior of enterprises from the perspective of family involvement and external environment.

Effect of pH on Advanced Treatment of Mid-Stage Pulping Effluent with Potassium Ferrate

2013 ◽  
Vol 781-784 ◽  
pp. 2146-2149
Author(s):  
Shan Hong Lan ◽  
Rui Chen ◽  
Ping Ma ◽  
Hui Xia Lan ◽  
Yong Dong Wang
Keyword(s):  
Removal Efficiency ◽  
Cod Removal ◽  
Effluent Treatment ◽  
Advanced Treatment ◽  
Potassium Ferrate ◽  
Effect Of Ph ◽  
Cod Removal Efficiency ◽  
Effects Of Ph ◽  
Alkaline Conditions ◽  
The Stability

The effects of pH on the advanced treatment of mid-stage pulping effluent with potassium ferrate were studied. Firstly, the effect of pH on the stability of the potassium ferrate solution was studied, which indicated that potassium ferrate was more stable in alkaline conditions than in acidic and neutral conditions, and the most stability was achieved at pH of 9-10. Then the effect of pH on the mid-stage pulping effluent treatment with potassium ferrate showed that the oxidation increased firstly and then decreased with the increase of the pH. The best treatment efficiency was at pH=4, under which COD removal efficiency reached 40%. The flocculation experiment was conducted using Fe3+ produced by the oxidation reaction as flocculant and PAC as extra flocculant and PAM as coagulant aid. Effect of pH on the flocculation process was studied, which showed that the flocculation effect first increased and then decreased with pH increasing. When pH was 9, COD removal efficiency reached 60%. The final effluent of COD concentration was less than 60mg/L, which met the requirements from the national first-order discharge standard.

The Influencing Factors’ Identification and Analysis of Rockfill Dam Slope’s Stability in Tailing Pond Based on RS and PCA

2015 ◽  
Vol 724 ◽  
pp. 144-147
Author(s):  
Fu Liang Jiang ◽  
Zeng Guang Yang ◽  
Guo Hui Li ◽  
Sheng Yang Feng ◽  
Bo Lei
Keyword(s):  
Influencing Factors ◽  
Rough Set Theory ◽  
Slope Angle ◽  
Principal Component ◽  
Tailing Pond ◽  
Affecting Factors ◽  
Angle Of Internal Friction ◽  
Rock Density ◽  
Rockfill Dam ◽  
The Stability

In order to intensively study the stability influencing factors of rockfill dam slope in tailing pond, it was simplified to the common rock slope. And the data of 45 groups of circular failure slope was collected, based on the discrete normalization, the condition attributes of influencing stability were reduced by Rough Set theory (RS), at the same time, the stability influencing factors were simplified by Principal Component Analysis (PCA). Combining the two results through the above two methods, the main affecting factors of the rockfill dam slope’s stability are: rock density, slope angle and the angle of internal friction. The study conclusion can provide the decision-making basis for the rockfill dam design and safety management, and also be used as the foundation for other intelligent algorithm to predict the dam safety coefficient.

scholarly journals Research on the Stock Correlation Network Entropy and Its Influencing Factors in the Chinese Interbank Market

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qiao Jiang ◽  
Qianting Ma ◽  
Xiaoxing Liu
Keyword(s):  
Influencing Factors ◽  
Correlation Network ◽  
Evolution Process ◽  
Dynamic Evolution ◽  
Interbank Market ◽  
Entropy Model ◽  
Depth Analysis ◽  
Bank Stock ◽  
The Stability ◽  
Network Entropy

The stability of the interbank market is an essential guarantee for the sustainable development of society. Network entropy theory provides a critical research paradigm for the study of the stability of the interbank market. Considering that few scholars have conducted in-depth analysis on the influencing factors of the network entropy’s evolution process, this paper constructs the stock correlation network entropy model in the Chinese interbank market based on the correlation of stock price fluctuation. It focuses on analyzing the influencing factors in the dynamic evolution process of the stock correlation network entropy. In the light of empirical research, we can obtain the following results. First, the interbank market network’s aggregation coefficient, the interbank market network’s centrality, and the bank stock’s return rate play a positive role in the dynamic evolution of stock correlation network entropy in the Chinese interbank market. Second, the bank stock return’s volatility is negatively correlated with its network entropy. To maintain the stability of the financial market, the supervision department can monitor the stability of the interbank market by constructing the stock correlation network entropy.

scholarly journals Analysis of Stability Factors of Roadway Roof and Determination of Unsupported Roof Distance

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Sen Yang ◽  
Xinzhu Hua ◽  
Xiao Liu ◽  
Chen Li
Keyword(s):  
Influencing Factors ◽  
Geological Conditions ◽  
Mine Roadway ◽  
Flac 3D ◽  
Roof Stability ◽  
Analysis Of Stability ◽  
The Stability ◽  
The Impact ◽  
The Relationship

To determine the impact of influencing factors on unsupported roof stability in coal mine roadway, a mechanical model of the unsupported roof was built. FLAC 3D numerical simulation was utilized to study the stability of the unsupported roof under the influence of the depth of the roadway, the thickness of the roof, and the unsupported-support distance. In view of the key influencing factors, the geological conditions of the site, and the relationship between the tensile stress and tensile strength of the unsupported roof, the maximum unsupported roof distance during roadway excavation was determined. Considering the surplus safety factor of the unsupported roof, the reasonable unsupported roof distance during the excavation of roadway 150802 was finally determined to be 2.08 m. The comprehensive roadway excavation speed increased by 62.7%, achieving a monthly progress over 500 m.

Stability Analysis in Face Milling Operations, Part 2: Experimental Validation and Influencing Factors

1999 ◽  
Vol 121 (4) ◽  
pp. 606-614 ◽  
Author(s):  
S. A. Jensen ◽  
Y. C. Shin
Keyword(s):  
Influencing Factors ◽  
Material Properties ◽  
Experimental Validation ◽  
Dynamic Change ◽  
Face Milling ◽  
Vibrational Modes ◽  
Entry And Exit ◽  
Structural Dynamic ◽  
Milling Operations ◽  
The Stability

This paper presents rigorous experimental validation results of the stability algorithm as developed in the Part I. The two experiments which will be presented here focus on; first, a workpiece whose vibrational modes constitute the weakest part of the overall system, and second, a machine tool whose vibrational modes are the weakest part of the system. Next, it discusses some of the influencing factors that affect the onset of chatter in face milling processes. The factors considered include cutting conditions, entry and exit angles, axial dynamics, cutter geometry, material properties and structural dynamic parameters. Lastly, it presents the effect of structural dynamic change under operating condition on stability lobes.

scholarly journals A Review on Bubble Stability in Fresh Concrete: Mechanisms and Main Factors

Materials ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1820 ◽  
Author(s):  
Xiaohui Zeng ◽  
Xuli Lan ◽  
Huasheng Zhu ◽  
Haichuan Liu ◽  
Hussaini Abdullahi Umar ◽  
...  
Keyword(s):  
Surface Tension ◽  
Influencing Factors ◽  
Fresh Concrete ◽  
Foam Stability ◽  
Current Trend ◽  
Surface Elasticity ◽  
Air Bubbles ◽  
Huge Impact ◽  
The Stability ◽  
Air Liquid Interface

In order to improve the stability of air bubbles in fresh concrete, it is of great significance to have a better understanding of the mechanisms and main influencing factors of bubble stability. In the present review, the formation and collapse process of air bubbles in fresh concrete are essentially detailed; and the advances of major influencing factors of bubble stability are summarized. The results show that the surface tension of air–liquid interface exerts a huge impact on bubble stability by reducing surface free energy and Plateau drainage, as well as increasing the Gibbs surface elasticity. However, surface tension may not be the only determinant of bubble stability. Both the strength of bubble film and the diffusion rate of air through the membrane may also dominate bubble stability. The application of nano-silica is a current trend and plays a key role in ameliorating bubble stability. The foam stability could be increased by 6 times when the mass fraction of nano-particle reached 1.5%.

A Review of the Hydrodynamic Characteristics of Heave Plates

2013 ◽  
Vol 773 ◽  
pp. 65-69
Author(s):  
Ji Bin Liu ◽  
Yan Jun Liu ◽  
Yu Li
Keyword(s):  
Influencing Factors ◽  
Added Mass ◽  
Experimental Results ◽  
Hydrodynamic Characteristics ◽  
Viscous Damping ◽  
Marine Structures ◽  
The Stability

Heave plates can increase the added mass and viscous damping of marine structures. It's a more economical way to improve the stability of the marine structures' heave movement by adding heave plates compared to other methods. Many scholars have studied on the influencing factors of theirs properties. This paper describes the findings of each factor, and the results are compared. Some experimental results have still not been explained, so it is needed to continue to study heave plates.

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