Effect of electrolysis parameters on corrosion resistance of extra-low carbon high silicon iron-based alloy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Zhang ◽  
Jun Xiao ◽  
Shaoguang Yang ◽  
Aimin Zhao
Keyword(s):  
Corrosion Resistance ◽  
Correlation Analysis ◽  
Corrosion Rate ◽  
Low Carbon ◽  
Silicon Iron ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Iron Based ◽  
High Silicon

Purpose High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown. This study aims to guide the development and application of an extra-low carbon high silicon iron-based alloy (ECHSIA) in electrode plates. Design/methodology/approach The corrosion resistance of ECHSIA and a conventional high-silicon cast iron (CHSCI) was analyzed through experimental characterizations. The morphology was observed by scanning electron microscopy. The influence of electrolysis parameters on the corrosion resistance of ECHSIA was investigated through corrosion experiments. The relationship between the electrolysis parameters and the corrosion resistance of ECHSIA was statistically investigated using the grey correlation analysis method. Findings The corrosion resistance of the ECHSIA is better than that of the CHSCI. The corrosion rate showed an increasing tendency with the increase in the nitric acid concentration (CHNO3), electrolyte temperature and current density. The grey correlation analysis results showed that the CHNO3 was the main factor affecting the corrosion rate of the ECHSIA. Originality/value An ECHSIA with a single ferrite microstructure was prepared. This study provides a guideline for the future development and application of ECHSIAs as electrode plates.

Cognition differences and improvement countermeasures of non-technical medical services based on grey correlation analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 155-163
Author(s):  
Hangyu Liu ◽  
Saina Liu ◽  
Lizhong Duan ◽  
Chongxu Zhang ◽  
Lili Yin ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Influencing Factors ◽  
Design Methodology ◽  
Doctoral Degree ◽  
Medical Services ◽  
Literature Analysis ◽  
Expert Interviews ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services. Design/methodology/approach Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups. Findings A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others. Originality/value The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.

Using grey relational analysis to analyze influential factor of hand, foot and mouth disease in Shenzhen

2019 ◽  
Vol 9 (2) ◽  
pp. 197-206
Author(s):  
Xiaoyi He ◽  
Liping Li ◽  
Xiaojian Liu ◽  
Yongsheng Wu ◽  
Shujiang Mei ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Gross Domestic Product ◽  
Foot And Mouth Disease ◽  
Domestic Product ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Environmental Air ◽  
The Impact ◽  
Socio Economic Factors

Purpose Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues. Design/methodology/approach This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen. Findings The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value. Originality/value This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Qingde Yue ◽  
Binbin Lu
Keyword(s):  
Correlation Analysis ◽  
Relational Model ◽  
Industrial Agglomeration ◽  
Integration Process ◽  
Content Type ◽  
Original Algorithm ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
The Impact

PurposeThe implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.Design/methodology/approachIn traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.FindingsThe authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.Originality/valueThe improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

scholarly journals The study on corrosion behavior and corrosion resistance of ultralow carbon high silicon iron-based alloy

2021 ◽  
Vol 8 (2) ◽  
pp. 026504
Author(s):  
Yue Zhang ◽  
Jun Xiao ◽  
Yishun Zhang ◽  
Wei Liu ◽  
Wei Pei ◽  
...  
Keyword(s):  
Corrosion Resistance ◽  
Corrosion Behavior ◽  
Silicon Iron ◽  
Iron Based ◽  
High Silicon ◽  
Ultralow Carbon

A decision support model for subcontractor selection using a hybrid approach of QFD and AHP-improved grey correlation analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Chen ◽  
Yanfeng Ding ◽  
Clark A. Cory ◽  
Yingwen Hu ◽  
Kuo-Jui Wu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Selection Process ◽  
Selection Model ◽  
Content Type ◽  
Grey Correlation ◽  
Proposed Model ◽  
Weight Calculation ◽  
Grey Correlation Analysis ◽  
Project Objectives ◽  
Qfd Method

PurposeThe purpose of this paper is to propose a subcontractor selection model to fully consider the impact of construction enterprise demands on subcontractor selection. The objectives are to understand the translating process of specific enterprise demands to the evaluating criteria and the weight calculation process.Design/methodology/approachA three-stage model of subcontractor selection was designed based on quality function deployment (QFD), analytic hierarchy process (AHP) and improved grey correlation analysis (IGCA). In the proposed model, specific enterprise demands are translated by the QFD method, and the weights of the criteria are determined by the IGCA. The AHP is used to quantify the exporters' experience and construct the judgment matrix, which is used as inputting of the grey correlation analysis.FindingsThe proposed model provides a feasible process for subcontractor selection by fully considering the actual requirements of the project. By combining the company requirements and project requirement to put forward the requirements of the target subcontractor, the selection process ensures that the selected subcontractor and the project have a higher “fit”Originality/valueFew researches on construction subcontractor selection have taken into account the “voice” of the company's stakeholders. Therefore, this paper designs a three-stage construction subcontractor selection model by introducing QFD to achieve the transmission of “voice” in the subcontractor selection process, so as to take full consideration of the project objectives and the needs of the company's stakeholders. Meanwhile, in order to decrease the subjective of weight calculation, this paper designs an AHP-IGCA allocation method to determine the weight of relevant indicators. By integrating the proposed weight calculation method and QFD method, the subcontractor selection results become more reasonable and objective.

The empirical study of executive compensation in China port and shipping listed companies based on the grey relational analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Jiajia Chen ◽  
Rong Zhang ◽  
Bin Liu
Keyword(s):  
Firm Performance ◽  
Correlation Analysis ◽  
Executive Compensation ◽  
Influence Factors ◽  
Listed Companies ◽  
Grey System Theory ◽  
Financial Indicators ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose – The purpose of this paper is to find the key influence factors of executive compensation within China ports and listed shipping companies and provide some reasonable suggestions. Eventually, help to perfect the executive compensation evaluation mechanism against the background of new area. Design/methodology/approach – Grey correlation analysis is an important part of grey system theory. Professor Liu Sifeng further studies the relationship between two sequences absolute increment on the basis of Deng’s degree and put forward the “Grey absolute correlation degree,” which is widely used in practice. In the study, on the basis of the area of the line between sequences size, it measures the correlation degrees of firm performance, executive stock holding, continuous growth capacity and other relevant factors of executive payment in China ports and listed shipping companies. Findings – The paper concludes that the main factors influence CEO salary in China ports and listed shipping companies are return on equity and growth rate of fixed assets. However, the authors consider the frequent occurrence of executives’ corruption in China listed state-owned enterprise under the environment of financial and economic crisis, the authors argue that the significant influence of net assets attributed to shareholders cannot be ignored. In addition, cash flow in operating activities and executive stock holding both have relatively important effect on executive compensation. Research limitations/implications – This paper still has some limitations. First, it merely takes into account the financial indicators and ignores the influence of non-financial indicators to the performance evaluation of listed companies, such as: innovation ability, human capital and goodwill. Second, it has not considered the power consumption and other types of “invisible income” in the executive compensation structure, neither the influence of investing and financing activities on corporate performance. Consequently, these are likely to cause a certain deviation to the results of the study. Practical implications – The outcome obtained in this paper can be provided for China ports and listed shipping companies to establish a reasonable executive compensation evaluation and incentive mechanism under the background of depressed shipping market. Social implications – This paper intends to use correlation analysis between firm performance, executive stock holding, sustainability and executive compensation in the new area of time, tries to make a greater contribution to the major component of salary policy and then make some suggestions on incentive supervising and restraining mechanisms for the ports and listed shipping firms in China. Originality/value – Although scholars have done many studies about the association analysis of executive compensation and firm performance, they neglect the economic environment of industry. Meanwhile, considering the non-financial indicators and incomplete information, this paper studies the grey correlation analysis of executive compensation and influence factors in China ports and listed shipping firms under the background of the Chinese flagging shipping industry.

A cost-effectiveness assessment model using grey correlation analysis for power transformer selection based on life cycle cost

Kybernetes ◽  
2014 ◽  
Vol 43 (1) ◽  
pp. 5-23 ◽  
Author(s):  
Yiyi Zhang ◽  
Ruijin Liao ◽  
Lijun Yang ◽  
Xiaopin Deng ◽  
Huanchao Cheng ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Correlation Analysis ◽  
Life Cycle Cost ◽  
Power Transformer ◽  
Evaluation Model ◽  
Content Type ◽  
Grey Correlation ◽  
Investment Program ◽  
Investment Evaluation ◽  
Grey Correlation Analysis

Purpose – Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer is full of uncertainty as it is hard to obtain accurate and useful cost-effectiveness results. Therefore, the purpose of the paper is to establish an investment evaluation model. Design/methodology/approach – The cost-effectiveness evaluation model in this study used grey correlation analysis for the power transformer selection based on life cycle cost (LCC). Indices of cost and effectiveness factors were chosen to form a three-level index system including quantitative and qualitative factors. Evidential reasoning was applied to quantify the qualitative indexes. Grey correlation analysis was applied to select the best investment program. Findings – The results from this study show that the proposed approach is effective and offers a new approach to evaluating transformer investment. Practical implications – The model was applied to an investing decision-making problem of the transformer in a new substation in Wuhan, China. Originality/value – It is very important to select the best transformer program in the candidate investment programs because the investment program decides almost 70 percent of the LCC of the power transformer.

DURICHLOR 51M

Alloy Digest ◽  
1996 ◽  
Vol 45 (4) ◽  
Keyword(s):  
Compressive Strength ◽  
Corrosion Resistance ◽  
Hydrochloric Acid ◽  
Physical Properties ◽  
Tensile Properties ◽  
Silicon Iron ◽  
Chlorine Gas ◽  
High Silicon

Abstract Durichlor 51M is a high silicon iron for corrosive services, especially in the handling of hydrochloric acid in all concentrations. It is also very resistant to most chlorine gas and many destructive chloride-containing solutions. The alloy is treated at melting by argon ladle degassing. This datasheet provides information on composition, physical properties, hardness, tensile properties, and compressive strength. It also includes information on corrosion resistance as well as machining and joining. Filing Code: FE-109. Producer or source: The Duriron Company Inc.

Sign in / Sign up

Export Citation Format

Share Document