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Методы повышения эффективности в процессе производства клея ПВА

Методы повышения эффективности в процессе производства клея ПВА

Рубрика

Технические науки

Ключевые слова

ПВА
процесс
методы
производство

Аннотация статьи

В статье рассматривается разработка и обоснование автоматизированной системы управления (АСУ) для производства клея на основе поливинилацетата (ПВА), ориентированной на централизованный сбор, обработку и анализ технологических данных. Показано, что накопление «знания о процессе» выступает скрытым фактором эффективности: повышение точности и полноты измерений позволяет оперативно корректировать управленческие решения и адаптировать производство к изменениям технологических режимов.

Текст статьи

The automated control system provides centralized collection and analysis of data related to the adhesive manufacturing process. Process knowledge is a hidden advantage that is difficult to quantify in financial terms, but should be considered as a proxy for efficiency. With the most accurate process data, management strategies can be improved and the process can be adapted quickly to changes in production methods.

To extract the necessary data, the static and dynamic parameters of the regulated objects are determined using a mathematical model.

Unimaginable, but PVA glue gained its fame in the distant past, more than 100 years ago. In 1912, German Fritz Klatt isolated such a substance as vinyl acetate from gas - a newly isolated substance that had such a property as to harden and could easily glue different kinds of materials. In the same year a patent was created for this substance. In 1937, a large-scale production of PVA was started in the USA. Machine building became one of the first industries where the glue was used. In the USSR, PVA glue was widely used only in the 1970s.

Unlike other methods of joining materials, the use of PVA glue does not require high heating of the product. The glue makes it possible to reheat the product. Unlike other methods of joining materials, the use of PVA glue does not require high heating of the product. The glue makes it possible to reheat the product.

As a rule, failure of an adhesive means sudden failure of the product, and therefore higher demands are placed on its quality.

The adhesive qualities are influenced by the technological processes at certain stages, occurring both during their manufacture and during the use of the adhesive.

The quality of the adhesive composition determines the strength of the product as a whole, its reliability and safety, so it is important to investigate the factors that determine the quality of adhesives.

Introduction

The technology of using adhesives is quite simple, and their properties are not inferior to traditional fasteners.

Let's analyze the technological process, which takes place in the technical tank pos.300, 311, as a control object. Input variables of the object should be considered as those variables, the values of which can be directly changed on the object. They can be selected as control (regulating) influences. If the variables can be influenced, they are considered as regulating variables, other variables that we cannot influence and adjust, such are called perturbing variables.

The objective of control is considered to be to reduce the cost in obtaining the product i.e. PVA glue over a long period of time. The control system, like any other object of financial investment, should pay for itself and bring profit in a certain period of time.

The control system, like any other investment asset, must generate profits and cover costs within a set period of time. Implementing an automated control system helps to reduce labor costs, increase equipment efficiency by reducing downtime and improving operational safety. It also leads to a reduction in the number of manual processes.

The automated control system provides centralized collection and analysis of data related to the adhesive manufacturing process. Process knowledge is a hidden advantage that is difficult to quantify in financial terms, but should be considered as a proxy for efficiency. With the most accurate process data, management strategies can be improved and the process can be adapted quickly to changes in production methods.

Materials and Methods

When automating production processes, the best decisions can be achieved based on data about the static and dynamic characteristics of the object to be regulated.

Static characteristics demonstrate the functional dependence of output data on input data under static (stationary) operating conditions.

Dynamic characteristics, on the contrary, describe the relationships between changes in input and output data in a dynamic mode (time-dependent)Dynamic characteristics provide information about the inertial properties of regulated objects, therefore, they are the initial data for selecting automatic control systems. They allow you to perform this work in full and complete it by calculating the regulator tuning parameters on a given regulated object in order to obtain a given quality of transients in ATS.

Results and Discussion

In the process of automation of production operations, optimal decisions can be made based on the data on static and dynamic properties of the controlled object. To obtain such data it is necessary to determine static and dynamic characteristics of control objects using mathematical models.

Static characteristics reflect the functional dependence of output parameters on input parameters in static (stationary, stable) mode of operation. Dynamic characteristics demonstrate the relationship between changes in input and output parameters in the process of dynamic interaction (in time).

Dynamic characteristics provide information about the inertial properties of regulated objects, therefore, they are the initial data for selecting automatic control systems. These tools allow to realize the complete fulfillment of the set task and finish it by determining the regulator tuning parameters on the selected regulated object in order to achieve the desired quality of transients in the automatic control system (ACS). The technological process was evaluated, as well as a critical review of the current control system. The automated control system (ACS) for the production of PVA paint should provide:

  • Monitoring of process parameters and the state of the equipment used in the process.
  • Automatic and remote control of technological processes occurring in the apparatuses.
  • Display of information on the monitor of the operator's workstation.
  • Signaling of deviations of parameters and failures of the equipment, as well as elements and blocks of the ACS.
  • Automatic logging of human operator's actions on technological process control.
  • Formation of reporting documents on operational parameters of technological process.
  • Archiving of information and display of archive data.

Translated with DeepL.com (free version).

Conclusion

This method of modernizing a section of the main gas pipeline is unique. It can be applied to different sections of the pipeline. Over time, this method can be modernized or refined for different situations.

In modern automated production systems, the control of scientific and technical processes is usually carried out from operator or dispatcher stations (control points), where automated workstations are implemented.

In this project the operator's workstation is made on the basis of a non-reserved personal computer together with the use of one of the most famous on the Russian market SCADA-system “Master Scada”.

The operator work area in the automation system of PVA adhesive production performs the following functions:

  • collection of up-to-date information from monitoring devices;
  • initial processing of measurement data, including calculations and logical interpretation;
  • archiving and storage of current data with their further processing;
  • display of current and historical data on the screen (including dynamic diagrams, histograms, animated graphs, tables, trends);
  • allocation of emergency and potentially emergency situations with automated generation of alarm signals;
  • input and transmission of commands from the operator to controllers, as well as notifications;
  • registration of all operator actions (including manual start, emergency stop, changes in system settings and so on);
  • protection against unauthorized access and granting different levels of access to users when interacting with the system;
  • possibility of printing data in any format and protocols at set moments, as well as recording alarms at the moment of their occurrence.

Список литературы

  1. Programmable controllers: textbook / V.V. Ignatyev, I.S. Kobersi, O.B. Spiridonov, V.I. Finayev. – Rostov-on-Don: SFU, 2016. – 137 p. – ISBN 978-5-9275-1976-7. – Text: electronic // Lan: electronic-library system. – URL: [https://e.lanbook.com/book/114399] (date of reference: 29.11.2023).
  2. Averkov K.V. Programming of the industrial logic controller: textbook / K.V. Averkov, A.V. Obryvalin. – Omsk: OmGUPS, 2021. – 18 p. – Text: electronic // Lan: electronic-library system. – URL: [https://e.lanbook.com/book/190149] (date of reference: 29.11.2023).
  3. Gofman P.M. Programming tools for industrial controllers. CoDeSys: textbook / P.M. Gofman, P.A. Kuznetsov. – Krasnoyarsk.

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Карпухин С. А., Ярошевский С. Д. Методы повышения эффективности в процессе производства клея ПВА // Актуальные исследования. 2026. №4 (290). Ч.I. С. 13-15. URL: https://apni.ru/article/14268-metody-povysheniya-effektivnosti-v-processe-proizvodstva-kleya-pva

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