Modelling of Coupled Mass and Thermal Balances in Hall-Heroult Cells During Anode Change

As the most routine work practice in an aluminium reduction cell, anode change introduces substantial perturbations that adversely affect the mass and heat balance of the cell which may lead to loss of process efficiency and increased energy consumption. The literature lacks a dynamic mathematical model that describes the interactions among cell variables (e.g., electrolyte temperature and flow, anode current distribution, and cell heat loss) during and following this operation, which could otherwise be used to understand the process in greater depth and to develop changes that improve process operations and control. This paper presents a spatially-discretised dynamic model for anode replacement that integrates mass balance, thermal balance and cell voltage to describe and predict local cell variables. It was experimentally validated with an industrial cell undergoing an anode change procedure. This generic model can be applied to different cell design or process conditions by using appropriate parameters (e.g., heat transfer coefficients, conductivities, and flow patterns). The model can be used to improve existing process operations or control strategies for higher process efficiency, lower energy consumption, and lower emissions.

The analysis of process flow automation during manufacture of ship structures.

В работе обосновывается положение о том, что ход принятия решений при разработке технологических процессов изготовления судовых конструкций может быть автоматизирован за счет использования информационной модели судовой конструкции. Для создания автоматизированного подхода процесса принятия решений при разработке технологических процессов проведен анализ процесса принятия решений, разработан единый алгоритм процесса и построена принципиальная схема разработки технологического процесса изготовления корпусной конструкции. Проанализирована взаимосвязь различных факторов, таких как: цели разработки данного техпроцесса, параметры техпроцесса, варианты технологического решения и виды технологических операций. Проведен пример выбора технологического процесса в конкретном случае при резке корпусных деталей различными способами и определен способ, соответствующий поставленным целям. В статье предложена концепция информационной модели судовой корпусной конструкции, которая предполагает применение 3D модели конструкции и набор баз данных, включающих стандартный набор элементов корпуса судна, технологические данные, нормативно-техническую и справочную документацию, технологические операции. The paper substantiates the statement that decision-making process during development of process flow for manufacture of ship structures can be automated using an information model of a ship structure. In order to create an automated approach to the decision-making process during development of process flow, an analysis of the decision-making process has been carried out, a unified process algorithm has been developed and a flow diagram for development of a process flow for manufacturing a hull structure has been built. The interrelation of various factors has been analyzed, such as: goals for development of the given process flow, parameters of the process flow, options for the process solution and types of process operations. An example has been given of selecting a process flow in a specific case when cutting hull parts using various ways, and a method has been determined that corresponds to the goals set. The article proposes the concept of an information model of a ship's hull structure, which involves the use of a 3D model of the structure and a set of databases, including a standard framing of hull stiffening members, process data, regulatory and reference documentation, process operations.

Mathematical Modeling in High Tech Enterprise Innovation and Production Component Enhancing Strategy

For high tech enterprise manufacturing subdivisions production optimization challenge has been defined. Mathematical models have been developed. Implementing model algorithms have been researched. A step-by-step mechanism for algorithm implementation based on Johnson’s method is proposed. Developed models have been tested at the enterprises of the innovation-oriented cluster. Model of setting the economically feasible limits of process operations (performed on technological equipment of established manufacturing subdivisions) robotization has been developed

Big Data and Clustering Techniques

Big data has become a chief strength of innovation across academics, governments, and corporates. Big data comprises massive sensor data, raw and semi-structured log data of IT industries, and the exploded quantity of data from social media. Big data needs big storage, and this volume makes operations such as analytical operations, process operations, retrieval operations very difficult and time consuming. One way to overcome these difficult problems is to have big data clustered in a compact format. Thus, this chapter discusses the background of big data and clustering. It also discusses the various application of big data in detail. The various related work, research challenges of big data, and the future direction are addressed in this chapter.