ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Vyacheslav Viktorovich Epifanov"

Viacheslav Viktorovich Epifanov, Ulyanovsk State Technical University, Doctor of Science in Engineering; graduated from the Machine-Building Faculty of Ulyanovsk Polytechnic Institute; Professor at the Department of Motorcars of Ulyanovsk State Technical University; an author of monographs, articles, inventions in the field of the automation of preproduction engineering. [e-mail: v.epifanov73@mail.ru]V. Epifanov,

Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Science in Engineering; Professor graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; First Vice Rector, Vice Rector for Remote and Additional Education of Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD. Research interests are automated training systems, organization of computing processes and structures of computers, design of intelligent systems, CAD, management of complex workflows, diagrammatica of graphic languages. [e-mail: a.afanasev@ulstu.ru]A. Afanasev

Automated System for the Selection of Quality Process Equipment in Serial Production 54_3.pdf

The reasonable selection of process equipment can provide increasing of preproduction engineering efficiency of processes and manufacturing system in the conditions of multiproduct serial manufacturing. Therefore, the article deals with a theoretical foundation of the complexity of components as solids of revolution. It is cost-effective to use manual or computer-controlled metal-cutting machines while manufacturing.The article provides an algorithm and a functional block diagram for the automated system for the process equipment selection (the System). It includes four subsystems: a component coding, a component characteristic correlation, a design selection, a technical documentation output.At industrial enterprises, the System allows to improve significantly the production engineer`s performance while preproduction engineering, the quality of design decisions they take, and the efficiency of the production system.

Machine unit, component, coding, classification, automation, system.

2018_ 4

Sections: Information systems

Subjects: Information systems.



Viacheslav Viktorovich Epifanov, Ulyanovsk State Technical University, Doctor of Engineering; graduated from the Faculty of Machine-Building of Ulyanovsk Polytechnic Institute; Professor at the Department of Motorcars of Ulyanovsk State Technical University; an author of monographs, articles, and inventions in the field of process planning automation. [e-mail: v.epifanov73@mail.ru]V. Epifanov,

Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; First Vice-Rector for Distance and Extended Education at Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD, interested in automated training systems, computational process and computer structure organization, intelligent system design, CAD, composite workflow control, graphic language diagrammatics. [e-mail: a.afanasev@ulstu.ru]A. Afanasev

The Automated System of Coding and Classification of Production Objects 000_7.pdf

Increasing efficiency of design and technological training in conditions of multi-nomenclature serial production can be ensured by coding and classification of parts. Therefore, the paper provides theoretical substantiation of classification characteristics of parts and their grouping. A method for coding details is proposed, in accordance with which details are assigned an impersonal code of its design characteristics according to the United Design Documentation System (SUDD) classifier. Technological characteristics of the parts are coded in true values from the drawing. In practice, the technique was implemented when creating a regional data bank about details that contains information on 150 thousand items. The article shows the functional-structural scheme of the automated system for coding and classification (ASCC) of parts, consisting of four subsystems: coding of parts, generalization of parts characteristics, selection of design solutions, output of technical documentation. At industrial enterprises, ASCC allows to significantly increase the labor productivity of designers and technologists in the preparation of production and the quality of the design decisions they make.

Part, coding, classification, automation, system.

2017_ 3

Sections: Information systems

Subjects: Information systems, Computer-aided engineering.


Vyacheslav Viktorovich Epifanov, Ulyanovsk State Technical University, Doctor of Engineering; graduated from the Faculty of Machine-Building of Ulyanovsk Polytechnic Institute; Professor at the Department of Motorcars of Ulyanovsk State Technical University; an author of monographs, articles, and inventions in the field of process engineering of numerically controlled metal-cutting machine tools. [e-mail: v.epifanov73@mail.ru]V. Epifanov

Automated Grouping of Machine Components Such As Rotation Bodies Using Cluster Analysis 38_14.pdf

In a multiproduct batch production the technological basis for the computer numerical control (CNC) machine tools engineering can only be a properly selected group of parts. Therefore, on the basis of the cluster analysis application a methodology is developed which enables to quantify the similarity of the parts based on constructive and technological characteristics and to implement the parts sections. As a objective function (or as a grouping criterion) a following condition is adopted: a maximal usage of at least one CNC machine processing parts of a particular group for a year.In practice, the method is implemented in terms of a regional components data bank, which contains the information about 130 thousand types of parts. The calculations of the distances between clusters are performed on PC by means of a software product ‘STATISTIKA’, which enables to get a result automatically in a form of a dendrogram after the initial data is intro-duced. The dendrogram shows an optimal sequence of all clusters unification. As a result of calculations, nine groups of parts are formed which meet the objective function and which are appropriate to use as a process basis of the design of the range of advanced CNC-lathe machines. The specification requirements for the engineering of the range of advanced CNC-lathe machines are coordinated with the machine-tool enterprises of Moscow, Samara, and Ulyanovsk.

Part, group, machine, cluster, classification feature.

2014_ 4

Sections: Computer-aided engineering

Subjects: Computer-aided engineering.


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