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computer Decision Support System for Resource-Saving Polymer Extrusion design Based on Virtual Models

Computer Decision Support System for Resource-Saving Polymer...

引用

2023 Applied Mathematics, Computational Science and Mechanics: Current Problems, AMCSM 2023

作者： Polosin, Andrey Chistyakova, Tamara Department of Computer-Aided Design and Control Systems Saint Petersburg Russia

ISBN: (纸本)9798350348576

A computer decision support system for the design and change-over of production of multi-assortment polymeric materials has been developed. The system helps to solve the problems of choosing hardware design and technological modes of extrusion, ensuring resource saving in production. The system includes a subsystem for selecting the brand of the extruder and assembling a 3D model of the modular screw of the extruder, a subsystem for synthesizing a mathematical model for calculating the extrusion efficiency indices depending on the operating parameters of the extruder, a database of types of polymeric materials, a database of brands of extruders, a database of technological regulations of extrusion. 3D models of elements of screw extruders of various types, rules of placement and layout of 3D models of elements when assembling a 3D screw model, mathematical models of physical processes in the channels of screws and heads of extruders are the core of the system. The system allows you to select the brand of the extruder, form the configuration of the extruder screw and determine the operating parameters of extrusion, at which the specified requirements for the quality of the extrudate, throughput and specific energy consumption of the extrusion are satisfied. Testing of the system has been carried out according to the data of industrial extrusion and calendering productions of multi-assortment polymeric films for packaging food and medicines. The test results have confirmed the operability of the software. They have showed an increase in production efficiency due to a reduction in defective products (non-returnable waste), energy saving, and a reduction in the time of change-over of production on new tasks. © 2023 IEEE.

关键词： Decision support systems

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Methods and Technologies for Primary Processing, Modeling and Visualization of Industrial Data for Quality control of Multi-assortment Polymeric Films 5

Methods and Technologies for Primary Processing, Modeling an...

引用

5th International Conference on control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Chistyakova, Tamara Polosin, Andrey Platonenko, Gleb Kohlert, Christian Computer-Aided Design and Control System Department Saint Petersburg Russia Kohlert-Consulting Oberahr Germany

ISBN: (纸本)9798350309126

The methods of primary processing, modeling, visualization of data of large-capacity production of polymeric films of a wide range are described. The methods are implemented in the product quality control system. Industrial data is characterized by a big volume, high accumulation rate, a variety of sources, incompleteness, encoded values, unstructured nature. Therefore, their primary processing consists in converting them into real values, filtering, structuring by types of production parameters. The lack of measurement of a number of important quality indices of the polymeric material at the production stages, including the quality indices of the extrudate, causes incompleteness of data about the control object. This incompleteness led to the creation of a library of adjustable mathematical models for calculating quality indices depending on the control actions measured in production, with different configurations of aggregates and types of films. Complete arrays of measured and calculated parameter values are stored in a database for subsequent analysis, processing (by methods of mathematical statistics and machine learning) and visualization. The data are visualized in the form of parameter trends and histograms for distributions of the specific number of defects of various types across the film rolls. Visualization allows you to study the influence of control actions and technological additives (for example, stabilizers) on the quality of the film to select a rational recipe and production mode of the film. The proposed methods are implemented in the form of a flexible software package. It is adjusted to the range of films produced, configurations of production lines and is designed to support decision-making on the control of consumer characteristics of polymeric films. Testing of the software package according to the data of industrial extrusion-calendering production of rigid packaging films based on polyvinyl chloride has confirmed its operability. The effec

关键词： Quality control

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computer System for Forming Compositions and Modeling the Properties of Secondary Polymer Materials 5

Computer System for Forming Compositions and Modeling the Pr...

引用

5th International Conference on control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Chistyakova, Tamara Balabekovna Novozhilova, Inna Vasilievna Razygraev, Aleksandr Sergeevich Goncharova, Tatyana Sergeevna Saint-Petersburg State Institute of Technology Department of Computer-Aided Design and Control Systems Saint Petersburg Russia

ISBN: (纸本)9798350309126

The computer system for forming compositions and modeling the secondary polymer materials properties is described in the article. The polymer compositions are formed using a customizable dataware, which includes a polymer wastes database and a knowledge base for recycling polymers into useful polymer products The knowledge base is developed using a product-frame model for representing knowledge about polymers and their compatibility. Modeling and research of the secondary polymers properties (strength, elasticity and density) is carried out based on the mathematical models. The result of the modeling system is a technological map for the composite polymer mixture synthesis and the production of a useful polymer product. The map includes data on the recipe, physicochemical and technological properties of polymers as secondary raw materials, polymer composition, hardware and technological design of the process, values of technological controlled variables of individual stages of processing. The use of a modeling system in production makes it possible to reduce the time required to solve the problem of selecting compositions, as well as reconfiguring production for a new task, improve the consumer characteristics of polymer products and reduce defects. © 2023 IEEE.

关键词： Materials properties

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Intelligent Technologies for designing Information Systems for controlling the Polymer Waste Processing into Useful Technical Products

Intelligent Technologies for Designing Information Systems f...

引用

2023 Seminar on Information Systems Theory and Practice, ISTP 2023

作者： Chistyakova, Tamara B. Paukin, Oleg A. Novozhilova, Inna V. Razygraev, Aleksandr S. Goncharova, Tatyana S. Department of Computer-Aided Design and Control Systems St. Petersburg State Institute of Technology Saint Petersburg Russia

ISBN: (纸本)9798350345193

The article describes intelligent technologies used in the design of an information system for controlling the polymer waste processing into useful technical products. The basis of the system is a configurable information model that includes a database of characteristics of polymer waste and a knowledge base of the processes of their recycling into technical products (containers, packing materials, etc.). The knowledge base is built using a production-frame model for the representation of unformalized knowledge about the polymers compatibility, the quantitative ratio of the components of a composite mixture, waste processing methods to obtain a homogeneous mixture with specified properties (strength, resistance to aggressive substance, etc.). The result of the functioning of the system is the formation of a technological map of the production of a technical product, including information about the formulation and synthesis process of the polymer composition, specifications of the hardware design and the values of the technological modes of the production stages. Testing of the system according to the LLC "Plastic processing plant named after "Komsomolskaya Pravda" on the basis of the Polymer Ecology Training Center of SPSIT confirmed its operability and the possibility of use at polymer industry enterprises. The use of the system allows you to reduce the time spent on solving the problem of reconfiguration of production and selection of compositions, reduce defects and improve the consumer characteristics of products. ©2023 IEEE.

关键词： Intelligent systems

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Prediction of the Magnitude of Lightning Impulse Interference in an Electronic Device Using an Artificial Neural Network

Prediction of the Magnitude of Lightning Impulse Interferenc...

引用

2024 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2024

作者： Gizatullin, Zinnur Mubarakov, Ramis Kazan National Research Technical University Named After A.N. Tupolev-KAI Department For Automated Systems For Information Processing And Control Department For Computer-Aided Design Systems Kazan Russia Kazan National Research Technical University Named After A.N. Tupolev-KAI Department For Computer-Aided Design Systems Kazan Russia

ISBN: (纸本)9798350395013

Reliable operation of modern electronic devices is the basis for their effective use. Electromagnetic interference, such as lightning, creates the risk of temporary or permanent disruption of the functioning of device elements. Therefore, it is necessary to take into account the possible consequences of such interference on the basis of prediction even at the design stage of electronic devices. The paper a technique for predicting the magnitude of lightning impulse interference in electronic devices using an artificial neural network is proposed. The advantage of this approach over simulation modeling is that rather complex three-dimensional models and long computation times are not needed. A stand was developed and obtained by measuring the amount of lightning interference in an electronic device. The features of the task of training an artificial neural network based on experimental data are considered. The architecture and parameters of the artificial neural network have been selected. An artificial neural network was trained based on experimental data. The root mean square error between the predicted data and the average impulse interference voltage values on the training data does not exceed acceptable values. The results of predicting the magnitude of lightning interference in an electronic device are presented. If we consider further prospects for using an artificial neural network to predict electromagnetic interference, we can note the relevance of the problem of the impact of electrostatic discharge, intentional short pulse and etc. © 2024 IEEE.

关键词： Neural networks

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Methods and Technologies of Application of Fuzzy Models for Processing Industrial Data and Quality Management of Polymer Materials 25

Methods and Technologies of Application of Fuzzy Models for ...

引用

25th International Conference on Soft Computing and Measurements, SCM 2022

作者： Chistyakova, Tamara B. Makaruk, Roman V. Tedtoev, Azamat Ch. Saint-Petersburg State Institute of Technology Department of Computer-Aided Design and Control Systems Saint-Petersburg Russia

ISBN: (纸本)9781665496698

The paper presents methods and technologies for the use of fuzzy models for the analysis and quality control of polymer materials. In accordance with the approaches under consideration, a single reconfigurable computer system was developed that allows for a comprehensive analysis of the quality of products of multi-Assortment polymer industries. The methods and technologies that allow using fuzzy models to evaluate the color characteristics of polymer materials are described, which makes it possible to eliminate the incompleteness of the input data about the object of study and improve the quality of the results of the system as a whole © 2022 IEEE.

关键词： Polymer films

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Intelligent System for Predicting the Integrity of Operating Pipelines

Intelligent System for Predicting the Integrity of Operating...

引用

International Conference on control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Kristina Evseenkova Galina Kuznetsova Department of Computer-Aided Design and Control Systems Saint-Petersburg State Institute of Technology Saint Petersburg Russian Federation

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

An intelligent system for monitoring the integrity of operating pipelines is presented. The software package is designed to assess the corrosion rate and calculate the residual life of pipelines, which takes into account the parameters of climatic and transported environments, the characteristics of pipelines and their insulating coatings. The complex allows us to consider different types of corrosion: atmospheric, electrochemical and mechanical. A functional structure is proposed that describes the operating principle of the software package, calculation results and examples of intelligent system interfaces are presented.

关键词： Software packages Atmospheric modeling Corrosion Pipelines Predictive models control systems Mathematical models Energy efficiency Intelligent systems Monitoring

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Intelligent Quality control System for Polymeric Films Based on Big Data Processing and Mathematical Modeling of Technological Processes

Intelligent Quality Control System for Polymeric Films Based...

引用

International Conference on control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Tamara Chistyakova Andrey Polosin Anton Damrin Computer-Aided Design and Control System Department Saint Petersburg State Institute of Technology (Technical University) Saint Petersburg Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

An intelligent system is described for the formation of advice to managerial production staff on quality control of polymeric films of a wide range in a routine mode and in case of emergency situations that are associated with defective films. The system is designed to control extrusion calendering production of films. The production is distinguished by its multi-stage nature, flexibility of the hardware design of the stages, the presence of a recycle for returning waste for processing, a large number and complexity of connections between the parameters of raw materials, equipment, technological mode and product quality indicators, the lack of quality control of the intermediate (extrudate) from which the film is made. Production data is characterized by a large volume, high generation velocity and a variety of sources. The complexity of the control object has required the creation of algorithms for processing its big data to predict product quality based on machine learning methods and the construction of multivariate models for describing an industrial facility. Regression analysis, artificial neural networks and boosting decision trees are used to build predictive models. The choice of method depends on the type of distribution law of production data, their volume and requirements for accuracy and processing speed. The models for describing an industrial facility are deterministic mathematical models of technological processes at the production stages for calculating unmonitored quality indicators of extrudate and film, a base of expert knowledge about emergency situations, their reasons and recommendations for elimination for forming advice to operators, as well as a data bank of film types, production line configurations, monitored and calculated production parameters for adjusting the system to hardware and technological design of production and the range of its products. Testing using data from industrial production of polyvinyl chloride-based packaging films

关键词： Films Process control Production Quality control Predictive models control systems Mathematical models Data models Raw materials Polymers

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Intelligent Technologies for designing Information Systems for controlling the Polymer Waste Processing into Useful Technical Products

Intelligent Technologies for Designing Information Systems f...

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Information Systems Theory and Practice (ISTP), Seminar on

作者： Tamara B. Chistyakova Inna V. Novozhilova Tatyana S. Goncharova Oleg A. Paukin Aleksandr S. Razygraev Department of Computer-Aided Design and Control Systems St. Petersburg State Institute of Technology Saint Petersburg Russia

The article describes intelligent technologies used in the design of an information system for controlling the polymer waste processing into useful technical products. The basis of the system is a configurable information model that includes a database of characteristics of polymer waste and a knowledge base of the processes of their recycling into technical products (containers, packing materials, etc.). The knowledge base is built using a production-frame model for the representation of unformalized knowledge about the polymers compatibility, the quantitative ratio of the components of a composite mixture, waste processing methods to obtain a homogeneous mixture with specified properties (strength, resistance to aggressive substance, etc.). The result of the functioning of the system is the formation of a technological map of the production of a technical product, including information about the formulation and synthesis process of the polymer composition, specifications of the hardware design and the values of the technological modes of the production stages. Testing of the system according to the LLC “Plastic processing plant named after “Komsomolskaya Pravda” on the basis of the Polymer Ecology Training Center of SPSIT confirmed its operability and the possibility of use at polymer industry enterprises. The use of the system allows you to reduce the time spent on solving the problem of reconfiguration of production and selection of compositions, reduce defects and improve the consumer characteristics of products.

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computer System for Forming Compositions and Modeling the Properties of Secondary Polymer Materials

Computer System for Forming Compositions and Modeling the Pr...

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International Conference on control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Tamara Balabekovna Chistyakova Inna Vasilievna Novozhilova Aleksandr Sergeevich Razygraev Tatyana Sergeevna Goncharova Department of Computer-Aided Design and Control Systems Saint-Petersburg State Institute of Technology Saint Petersburg Russian Federation

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