scholarly journals Information method for control of green glass production

2021 ◽  
Vol 15 (6) ◽  
pp. 77-83
Author(s):  
R. I. Makarov ◽  
E. R. Khorosheva
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Statistical Data ◽  
Glass Production ◽  
Information Modeling ◽  
Utilization Rate ◽  
Total Output ◽  
Important Indicator ◽  
Float Method ◽  
Green Glass

Objectives. The technological process for the production of sheet glass by the float method is continuous and large-scale. Most European cars (up to 90%) are factory-tinted green; the bulk of the glass is painted in the desired color during the production process. The introduction of modern information technologies and digitalization has opened up opportunities for a significant increase in the efficiency of glass production. Accounting for the amount of drawn and cut glass allows you to evaluate an important indicator of the production work—the glass utilization rate, which determines the percentage of quality glass in the total output. The yield of the quality glass depends on the technological waste in the production process. To assess the effect of waste arising at the production stages on the glass utilization rate, an analysis of the statistical data of the float line operation was carried out. These statistical data differ from the normal law of probability distribution, which limits the use of traditional statistical control methods. Regression models do not always give an accurate mathematical description of the process since the variance of the conditional mathematical expectation of the output variable relative to the input is not a consistent characteristic of the relationship between the input and output variables. The purpose of this work is to study the application of information modeling theory for the analysis and control of the technological process of green glass production in terms of its utilization rate.Methods. The technique of modeling technological chains has some peculiarities with that for operations modeling. It analyzes operations to identify possible information links between parameters. Thus, the process of obtaining the utilization rate of green glass in the production process can be followed. This study analyzes the influence of the paired and triple interactions of waste on the process of affording the utilization rate of glass at the stages of green glass production.Results. Information modeling of the technological process of affording the utilization rate of green glass in the production process has been carried out. Informational analysis results in a conclusion about the sufficiency of the control of the utilization rate of green glass in the production process according to informatively related parameters—waste at the stages of glass melting, annealing, and flanging.Conclusions. The selected method of information control of the glass utilization rate can be used in quality management systems in the production of green glass by the float method.

МODERNIZATION TECHNOLOGY REPAIRING ACENTRIFUGAL WATER PUMP

2018 ◽  
pp. 48-51
Author(s):  
Sh.U. Yuldashev ◽  
D.T. Abdumuminova
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Energy Efficient ◽  
Technical Support ◽  
Ultrasonic Processing ◽  
Water Pump ◽  
The Real ◽  
Technological Processes ◽  
Efficient Management ◽  
Pump Shaft

The article provides an overview of the principle of the pump D630-90, as well as methods for studying the real conditions of technical support to improve maintainability and optimize technological processes and systems. A technological process for the restoration of the shaft of a centrifugal water pump has been developed and an algorithm for managing it has been proposed, on the basis of which the system for energy-efficient management of the recovery area has been implemented. Also in the article some questions of use, metal-filled compound SK812, and also application of ultrasonic processing of a surface of a shaft of the centrifugal water pump of mark D630-90 are mentioned and considered. The developed technological process of pump shaft restoration showed that it is characterized by simplicity, it fits well into the production process of repair and can be widely used in repair shops.

Learning from metabolic networks: current trends and future directions for precision medicine.

2020 ◽  
Vol 28 ◽  
Author(s):  
Ilaria Granata ◽  
Mario Manzo ◽  
Ari Kusumastuti ◽  
Mario R Guarracino
Keyword(s):  
Systems Biology ◽  
Precision Medicine ◽  
Metabolic Networks ◽  
Information Modeling ◽  
Model Systems ◽  
Specific Information ◽  
Important Indicator ◽  
Predictive Values ◽  
Metabolic Systems ◽  
Metabolic Models

Purpose: Systems biology and network modeling represent, nowadays, the hallmark approaches for the development of predictive and targeted-treatment based precision medicine. The study of health and disease as properties of the human body system allows the understanding of the genotype-phenotype relationship through the definition of molecular interactions and dependencies. In this scenario, metabolism plays a central role as its interactions are well characterized and it is considered an important indicator of the genotype-phenotype associations. In metabolic systems biology, the genome-scale metabolic models are the primary scaffolds to integrate multi-omics data as well as cell-, tissue-, condition-specific information. Modeling the metabolism has both investigative and predictive values. Several methods have been proposed to model systems, which involve steady-state or kinetic approaches, and to extract knowledge through machine and deep learning. Method: This review collects, analyzes, and compares the suitable data and computational approaches for the exploration of metabolic networks as tools for the development of precision medicine. To this extent, we organized it into three main sections: "Data and Databases", "Methods and Tools", and "Metabolic Networks for medicine". In the first one, we have collected the most used data and relative databases to build and annotate metabolic models. In the second section, we have reported the state-of-the-art methods and relative tools to reconstruct, simulate, and interpret metabolic systems. Finally, we have reported the most recent and innovative studies which exploited metabolic networks for the study of several pathological conditions, not only those directly related to the metabolism. Conclusion: We think that this review can be a guide to researchers of different disciplines, from computer science to biology and medicine, in exploring the power, challenges and future promises of the metabolism as predictor and target of the so-called P4 medicine (predictive, preventive, personalized and participatory).

scholarly journals ESTIMATION OF STRUCTURAL SIMILARITY FOR CONTROL OF MICROELECTRONIC PRODUCTS

2019 ◽  
Vol 1 (7) ◽  
pp. 14-18
Author(s):  
Yu. A. Gusman ◽  
Yu. A. Pichugin ◽  
A. O. Smirnov
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Good Reason ◽  
Structural Similarity ◽  
Fixed Number ◽  
Crystal Plate ◽  
Technological Scheme ◽  
Real Sample ◽  
Numerical Example

In this paper we consider the technological process of manufacturing micromechanical gyroscopes, the output of which is divided into cells of the crystal plate and each cell contains a fixed number of product elements. The estimation of structural similarity for measurements of technical characteristics of various devices is offered. A relatively large value of structural similarity assessment means that there is a dependence of the quality of the manufactured devices on the position on the crystal plate. This gives a good reason for further work to improve the quality of the process or to change the technological scheme as a whole. The article considers a numerical example based on a real sample of microelectronic products. The proposed method can be used both in the process of adjustment of the production process and in the rejection of products, when further configuration of the equipment is no longer possible.

scholarly journals THE ROLE OF GLASS INDUSTRY IN THE DEVELOPMENT OF UDMURTIA IN THE 1920’s – 1930’s

2018 ◽  
pp. 381-389
Author(s):  
Maxim A. Korolev ◽  
Sergey L. Loginov
Keyword(s):  
Executive Committee ◽  
Glass Industry ◽  
Industrial Production ◽  
Statistical Data ◽  
Glass Production ◽  
Railway Line ◽  
Development Plans ◽  
Further Development ◽  
Core Issues

Introduction. Udmurtia, its development within the framework of the first and the second five-year plans (1928–1932, 1933–1937). The focus is on the three enterprises of Valamaz, Sergievsk and Suginsk, as well as the construction of a new Golushurma factory. Materials and Methods. Analysis of archival materials reveals the state of the glass industry. Results. This industry (one of the oldest in the region) by the 1920’s occupied the leading positions in terms of industrial production. By the beginning of the First Five-Year Plan, the enterprises were in a deplorable state: the equipment and buildings were without repair and proper modernization, transport communication did not ensure stable sales of products. The circumstances were important for the further development of glass production: first, the availability of resources, primarily sand; secondly, the planned construction of the railway line. Five-year plans were to ensure the modernization of existing enterprises, but also to realize the task of building a new large factory, which had the largest volumes of production. Discussion and Conclusions. Despite the importance of glass production, in the 1930’s it ceases to be given due attention. Development plans wasn’t taken into account, the leadership of the region wasn’t invited to meetings on the discussion of core issues. At the same time, statistical data showed a reduction in production volumes, growth of manufacturing defect. Keywords: glass industry, factories, five-year plans, resources, transport, modernization, construction, Nizhny Novgorod Regional Executive Committee.

scholarly journals Quality control of aluminium melt in production process

2016 ◽  
Vol 61 (Special Issue) ◽  
pp. S43-S47 ◽  
Author(s):  
M. Kotus ◽  
E. Jankajová ◽  
M. Petrík
Keyword(s):  
Quality Control ◽  
Chemical Composition ◽  
Production Process ◽  
Aluminium Alloy ◽  
Technological Process ◽  
Casting Alloy

The quality of aluminium alloy in the production process on the chemical composition basis was evaluated. The quality of casting alloy depends on the chemical composition of melt and on the technological process of production process. The basic elements such as Si, Cu, Fe, Mg and Al in melting were evaluated. The obtained data were compared with the guide data referred to in the standard for aluminium alloy.

scholarly journals Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

2019 ◽  
Vol 11 (5) ◽  
pp. 582 ◽  
Author(s):  
Aoshuang Liu ◽  
Ye Wei ◽  
Bailang Yu ◽  
Wei Song
Keyword(s):  
Remote Sensing ◽  
Statistical Data ◽  
Estimation Method ◽  
River Delta ◽  
Important Indicator ◽  
Strong Basis ◽  
Cargo Handling ◽  
Panel Model ◽  
Nighttime Light Data ◽  
Nighttime Light

The cargo handling capacity of a port is the most basic and important indicator of port size. Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to estimate the cargo handling capacity of 28 coastal ports in China using satellite remote sensing. The study confirmed that there is a very close correlation between DMSP-OLS nighttime light data and the cargo handling capacity of the ports. Based on this correlation, the panel data model was established for remote sensing-based estimation of cargo handling capacity at the port and port group scales. The test results confirm that the nighttime light data can be used to accurately estimate the cargo handling capacity of Chinese ports, especially for the Yangtze River Delta Port Group, Pearl River Delta Port Group, Southeast Coastal Port Group, and Southwest Coastal Port Group that possess huge cargo handling capacities. The high accuracy of the model reveals that the remote sensing analysis method can make up for the lack of statistical data to a certain extent, which helps to scientifically analyze the spatiotemporal dynamic changes of coastal ports, provides a strong basis for decision-making regarding port development, and more importantly provides a convenient estimation method for areas that have long lacked statistical data on cargo handling capacity.

Technological Principles for the Formation of Instrument Structures with Reproducible Parameters

2020 ◽  
Vol 22 (9) ◽  
pp. 489-492
Author(s):  
M.G. Mustafaev ◽  
◽  
G.A. Mustafaev ◽  
D.G. Mustafaeva ◽  
◽  
...  
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Failure Mechanisms ◽  
Statistical Processing ◽  
Dielectric Strength ◽  
Design Stage ◽  
Statistical Relationships ◽  
Materials Used ◽  
The Stability ◽  
The Relationship

It is shown that increasing the role of control methods, identifying patterns and accuracy of performing technological operations, establishing the relationship between the characteristics of the technological process and the yield of suitable products, will ensure the reproducibility of technology and the formation of instrument structures with specified parameters. In the technological process of production, instrument structures are formed and constructive and technological foundations are implemented, on which the specified parameters are established in technological and final tests. Providing the specified parameters of device structures, depending on the production processes, is carried out on the basis of increasing the dielectric strength of oxide layers, improving the production process, and reducing the number of defects in oxide films. Improving the cleanliness during the production process allows you to reduce the level of defective structures. The inconsistency of the coefficients of thermal expansion of the materials used is the cause of failures of elements of integral electronics and a decrease in their reliability. Analysis of thermal effects and associated mechanical loads allows one to assess the optimality of the selected materials and to clarify the likely failure mechanisms. Knowledge of the failure mechanisms makes it possible to calculate the reliability of the device at the design stage, as well as to predict the reliability of the equipment being developed. The reproducibility of the technology is ensured by conducting a statistical analysis of the technological process, containing statistical processing, establishing statistical relationships between parameters, determining the regularities of the technological process, constructing regression models for the relationship between the yield of good products and modes of technological operations, and analyzing the stability of the technological process. The traceability of the relationship between the parameters of instrument structures and the technology of their manufacture allows to reduce the level of their defectiveness, statistical regulation, based on the measured values of the parameters, and determining their position relative to the regulation limits, ensures the accuracy of the production process.

scholarly journals Comparison of short runs control chart and T2 Hotelling control chart for monitoring sunergy glass production process

2021 ◽  
Vol 2106 (1) ◽  
pp. 012019
Author(s):  
M Qori’atunnadyah ◽  
Wibawati ◽  
W M Udiatami ◽  
M Ahsan ◽  
H Khusna
Keyword(s):  
Production Process ◽  
Control Chart ◽  
Mass Production ◽  
Control Charts ◽  
Manufacturing Industry ◽  
Average Run Length ◽  
Glass Production ◽  
Short Run ◽  
Multivariate Control Chart ◽  
Multivariate Control

Abstract In recent years, the manufacturing industry has tended to reduce mass production and produce in small quantities, which is called “Short Run Production”. In such a situation, the course of the production process is short, usually, the number of productions is less than 50. Therefore, a control chart for the short run production process is required. This paper discusses the comparison between multivariate control chart for short run production (V control chart) and T2 Hotelling control chart applied to sunergy glass data. Furthermore, a simulation of Average Run Length (ARL) was carried out to determine the performance of the two control charts. The results obtained are that the production process has not been statistically controlled using either the V control chart or the T2 Hotelling control chart. The number of out-of-control on the control chart V using the the EWMA test is more than the T2 Hotelling control chart. Based on the ARL value, it shows that the V control chart is more sensitive than the T2 Hotelling control chart.

scholarly journals Application of BIM technology combined with artificial intelligence in construction management

2021 ◽  
Vol 30 (2) ◽  
Author(s):  
Guoan Wei
Keyword(s):  
Construction Industry ◽  
Raw Materials ◽  
Steel Structure ◽  
Working Hours ◽  
Economic Benefits ◽  
Information Modeling ◽  
Utilization Rate ◽  
Construction Process ◽  
Processing Scheme ◽  
Building Information

The construction industry is a kind of multi-project engineering. The management in the construction process is an important factor in ensuring construction quality. This paper briefly introduced the relevant content of building information modeling (BIM) and the application of BIM combined with the genetic algorithm in optimizing the processing scheme in the cutting process of steel structure buildings, and took a grid-shaped steel shed in Zhengzhou, Henan, as an example to compare the traditional and BIM optimized schemes. The results showed that the BIM-optimized scheme could make better use of raw materials with different specifications and the optimization scheme had higher economic benefits because of higher utilization rate, fewer processing personnel, and fewer working hours

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