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DEVELOPMENT OF A METHOD STATISTICAL ANALYSIS ACCURACY AND PROCESS STABILITY PRODUCTION OF EPOXY RESIN ED-20

https://doi.org/10.20914/2310-1202-2015-2-187-190

Abstract

Statistical methods play an important role in the objective evaluation of quantitative and qualitative characteristics of the process and are one of the most important elements of the quality assurance system production and total quality management process. To produce a quality product, one must know the real accuracy of existing equipment, to determine compliance with the accuracy of a selected technological process specified accuracy products, assess process stability. Most of the random events in life, particularly in manufacturing and scientific research, are characterized by the presence of a large number of random factors, is described by a normal distribution, which is the main in many practical studies. Modern statistical methods is quite difficult to grasp and wide practical use without in-depth mathematical training of all participants in the process. When we know the distribution of a random variable, you can get all the features of this batch of products, to determine the mean value and the variance. Using statistical control methods and quality control in the analysis of accuracy and stability of the technological process of production of epoxy resin ED20. Estimated numerical characteristics of the law of distribution of controlled parameters and determined the percentage of defects of the investigated object products. For sustainability assessment of manufacturing process of epoxy resin ED-20 selected Shewhart control charts, using quantitative data, maps of individual values of X and sliding scale R. Using Pareto charts identify the causes that affect low dynamic viscosity in the largest extent. For the analysis of low values of dynamic viscosity were the causes of defects using Ishikawa diagrams, which shows the most typical factors of the variability of the results of the process. To resolve the problem, it is recommended to modify the polymer composition of carbon fullerenes and to use the developed method for the production of epoxy resins.

About the Authors

N. V. Zhelninskaya
Voronezh State University of Engineering Technologies
Russian Federation
Student


N. L. Kleimenova
Voronezh State University of Engineering Technologies
Russian Federation
Associate Professor, Department of quality management and machine-building technologies


T. I. Igumenova
Voronezh State University of Engineering Technologies
Russian Federation
Associate Professor, Department of chemistry and chemical technology of organic compounds and polymer processing


References

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2. Kulneva N. G. et al. Statistical modeling in obtaining and purification of diffusion juice sugar beet industry. Vestnik VGUIT. [Bulletin of the Voronezh state University of engineering technologies], 2013, no. 1 (55), pp. 150-155. (In Russ.).

3. Zelninskaya N. V., Leontieva M. A., Kleimenova N. L. Improving the quality of the composite material based on epoxy resin with carbon fullerenes. Sistemnyi analiz i modelirovanie protsessov upravleniya kachestvom [System analysis and modeling of processes of quality management in the innovative development of agro-industrial complex : mater. Intern. sci.-practical conf. Voronezh]. Voronezh: Publishing house of VSUET, 2015. pp. 237 238. (In Russ.).

4. GOST R 50779.42-99. Statisticheskie metody. Kontrol’nye karti Shuharta. [State Standard 50779.4299. Statistical methods. Shewhart control charts]. Moskow, IPK Izdatel’stvo standartov., 1999, 32 p. (In Russ.).

5. GOST R 50779.44-2001. Statisticheskie metody. Pokazateli vozmojnoctey processov. [State Standard 50779.44-99. Statistical methods. Indicators of opportunities processes]. Moskow, IPK Izdatel’stvo standartov, 2003, 16 p. (In Russ.).


Review

For citations:


Zhelninskaya N.V., Kleimenova N.L., Igumenova T.I. DEVELOPMENT OF A METHOD STATISTICAL ANALYSIS ACCURACY AND PROCESS STABILITY PRODUCTION OF EPOXY RESIN ED-20. Proceedings of the Voronezh State University of Engineering Technologies. 2015;(2):187-190. (In Russ.) https://doi.org/10.20914/2310-1202-2015-2-187-190

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ISSN 2226-910X (Print)
ISSN 2310-1202 (Online)