ISSN 1991-2927
 

ACP № 2 (60) 2020

Automated Grouping of Machine Components Such As Rotation Bodies Using Cluster Analysis

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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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.

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