On the Prospects of Introduction of Modifying Carbides WC and B4C in the Production of 12Kh18N10T Steel Used in Power Engineering Industry

2020 ◽  
Vol 2020 (12) ◽  
pp. 1362-1365
Author(s):  
I. V. Chumanov ◽  
M. A. Matveeva ◽  
A. N. Anikeev
2010 ◽  
Vol 2010 (6) ◽  
pp. 489-493 ◽  
Author(s):  
E. Yu. Kolpishon ◽  
A. N. Mal’ginov ◽  
A. N. Romashkin ◽  
V. A. Durynin ◽  
S. Yu. Afanas’ev ◽  
...  

1992 ◽  
Vol 7 (4) ◽  
pp. 1584-1590 ◽  
Author(s):  
A.A. Girgis ◽  
E.B. Makram ◽  
M.L. Cline ◽  
H.S. Fortson

2019 ◽  
Vol 6 (2) ◽  
pp. 502
Author(s):  
Valentyn Kalnysh ◽  
Roksolana Stasyshyn ◽  
Marianna Oliskevych

Background: The modern society cause the increase of workload and impact of environment factors on performance efficiency of occupational duties and health safety of workers. Emergencies and expert mistakes often arise not so much from rules ignorance of object management, but due to insufficient development of worker’s own psychophysiological qualities. The goal of our investigation is to develop the estimation technique for evaluation the risk of depletion in efficiency performance of occupational duties for operative service workers in electric power engineering industry.Methods: In our investigation, we examined the materials of psychophysiological survey by the multivariate statistics, dispersion analysis and regression binary choice models. The study is based on workers’ survey, encompassed exogenous psychophysiological indicators that included the observation of 466 operative service workers of in electric power engineering industry in Ukraine.Results: We determined seven psychophysiological indicators that are significant important risk cause of critical depletion in worker’s occupational efficiency. We estimated the multivariate regression logit model that evaluate the impact of each factor taking into account the age of worker.Conclusions: For workers with high values of average reaction time, regardless of the age group, we predict a high risk of occupational effective performance loss. The analysis showed that for workers with average values of other factors, the increase of adaptability and variability lead to decrease in risk of occupational professional efficiency depletion. Based on developed approach, we estimated that, in electric power engineering industry in Ukraine, the risk of effectiveness loss is less than 0.5 for 84% of workers.


Author(s):  
O. Yakimov ◽  
S. Uminsky ◽  
N. Klimenko ◽  
L. Bovnegra ◽  
Yu. Shikhireva

The development of modern power engineering goes along the line of continuous increase of speeds, efficiency and power units. Gears and gearboxes are crucial parts of modern mechanisms and occupy an important place in the domestic power engineering industry. The strength and durability of gears, in addition to design factors, to a large extent depends on the processing techniques. The final stage of manufacturing such wheels is the gear grinding operation. In the process of tooth-grinding, complex and unique thermomechanical processes take place in the thin surface layer. As a result of short-term heating to high temperatures, structural transformations, called prizhogami, occur in such a surface layer, and in some cases even micro and macro-cracks. In addition, there are cases of manufacturing gears with hidden grinding defects (for example, the appearance in the surface layer of teeth of large tensile stresses), which reduces the service life, and in some cases causes the teeth to break under operating conditions. The development of effective measures to ensure the quality of the surface layer during a gear grinding operation largely depends on the ability to predict (or calculate) temperatures and residual stresses along the depth of the cemented tooth layer. A method for calculating the internal residual stresses arising during gear grinding of wheels from cemented steels is proposed. On the basis of the performed calculations and experiments, the ways of improving the quality of manufacturing the working surfaces of gears used in units of thermal and nuclear power plants are proposed and substantiated.


2018 ◽  
Vol 224 ◽  
pp. 03014 ◽  
Author(s):  
Elena Inshakova ◽  
Agnessa Inshakova

The increase in the global consumption of marketed energy from all fuel sources (except coal) is regarded as a key factor driving power engineering industry (PEI) market growth. The absence of radical change in the structure of investment in PEI until 2030, with domination of investing equipment for the thermal power industry (with the exception of the year 2020) along with the essential growth of investment in the nuclear power industry is stated in the article. The authors focus on the significant potential of nanomaterials development and application for providing the PEI growth based on the new technological solutions and optimized technologies. Most widely used nanomaterials in the PEI worldwide, major fields and promising areas of nanomaterials application in the industry aimed at improving technology of the equipment’s fuel and structural elements construction, increasing efficiency of existing equipment, and developing renewable energy sector are examined. Contemporary trends and prospects for the PEI selected nanomaterials markets, their key players, positive and negative factors of market growth are identified.


2014 ◽  
Vol 224 ◽  
pp. 93-98
Author(s):  
Anżelina Marek ◽  
Jerzy Okrajni ◽  
Grzegorz Junak ◽  
Mariusz Twardawa

The paper presents the correlation between fatigue life determined under the conditions of low-cycle fatigue (LCF) and thermo-mechanical fatigue (TMF). Fatigue life values computed using own parameter P and results obtained based on the author’s own research and literature from the publications have been shown. The tests LCF and TMF have been performed for steels used for devices operated in the power engineering industry under the conditions of variable mechanical and thermal interactions X20CrMoV12.1 and P91.


2021 ◽  
Vol 13 (20) ◽  
pp. 11153
Author(s):  
Alexey Borovkov ◽  
Oleg Rozhdestvenskiy ◽  
Elizaveta Pavlova ◽  
Alexey Glazunov ◽  
Konstantin Savichev

It is acknowledged that quality of life is related to economic development in a country or region. The impact of the ongoing transfer to the digital economy on economic growth, sustainable development, and quality of life has been a recent academic focus, finding that the development of digitalisation of the economy and society is happening at a comparable pace. Yet, despite the availability of governmental support and overall strategic orientation of top managers, there is evidence of low digital/advanced manufacturing technologies adoption readiness across economic sectors. Therefore, the object of the research is the digital/advanced manufacturing technologies adoption readiness, which can be assessed on both industrial and organisational levels. The authors carried out an expert poll that has shown low digital/advanced manufacturing technologies adoption readiness on the industrial level (average readiness of 2.18 across estimated industries). For this reason, the focus subject of the research is the evaluation method for determining barriers of digital transformation on organisational level. The review of the academic literature and available digital maturity assessment models has shown the lack of metrics for barrier evaluation. The objective of the research is to develop a method for digital-transformation barrier evaluation. An analytical research method is used to develop a ready-to-use method in a form of a questionnaire that can be applied to measure an overall digital-transformation barrier level and identify problem areas for a manufacturing enterprise. The developed method is approbated in two large industrial companies. The overall barrier equals 39.3% for a power engineering company, which is a deterrent barrier. The overall barrier equals 75.0% for a machine-building company, which is a limiting barrier. The results of approbation correspond with results of the expert poll: the power engineering company has a lower barrier level, which is in line with the engine building and turbine engineering industry showing higher levels of readiness to adopt digital technologies. This finding supports the hypothesis about the rationality of the author’s method.


Sign in / Sign up

Export Citation Format

Share Document