Developing Methods and Algorithms for Cloud Computing Management Systems in Industrial Polymer Synthesis Processes

Eldar Miftakhov,Alexei Gorlov,Oleg Larin,Svetlana Mustafina,Andrey Akimov

doi:10.28991/esj-2021-01324

Abstract

To date, the resources and computational capacity of companies have been insufficient to evaluate the technological properties of emerging products based on mathematical modelling tools. Often, several calculations have to be performed with different initial data. A remote computing system using a high-performance cluster can overcome this challenge. This study aims to develop unified methods and algorithms for a remote computing management system for modelling polymer synthesis processes at a continuous production scale. The mathematical description of the problem-solving algorithms is based on a kinetic approach to process investigation. A conceptual scheme for the proposed service can be built as a multi-level architecture with distributed layers for data storage and computation. This approach provides the basis for a unified database of laboratory and computational experiments to address and solve promising problems in the use of neural network technologies in chemical kinetics. The methods and algorithms embedded in the system eliminate the need for model description. The operation of the system was tested by simulating the simultaneous statement and computation of 15 to 30 tasks for an industrially significant polymer production process. Analysis of the time required showed a nearly 10-fold increase in the rate of operation when managing a set of similar tasks. The analysis shows that the described formulation and solution of problems is more time-efficient and provides better production modes. Doi: 10.28991/esj-2021-01324 Full Text: PDF

Highlights

Recent developments of highly efficient technologies in the chemical and technological industries have increased the need for new energy-saving chemical and technological processes and systems to obtain production products with specific properties
This study aims to develop unified methods and algorithms for a remote computing management system for modelling polymer synthesis processes at a continuous production scale
The remote computing system was tested by a computational experiment to determine the molecular parameters of the isoprene polymerization product produced by a continuous method in the titanium-based catalytic system

Summary

Introduction

Recent developments of highly efficient technologies in the chemical and technological industries have increased the need for new energy-saving chemical and technological processes and systems to obtain production products with specific properties. A single solution to a direct problem of predicting product properties as a function of initial cargo and ordered technological aspects of production requires enormous computational resources. A high-performance cluster that manages all computational experiments can solve the problem of insufficient computational resources. Since these computations need to be performed by several people at the same time, a possible solution is to assign all the computational logic to a remote server and give clients access to the network resources. A number of them are registered in the Federal Service for Intellectual Property [8, 9] They are not capable of solving problems different from those originally stated. These software products do not support multi-user and remote operations

Objectives

Results

Conclusion