Методика подбора режимов резания на основе контроля средней толщины стружки
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

A technique for selecting cutting conditions based on the control of average chip thickness

Khisamutdinov R.M.,  Urmanov M.D.,  idKhusainov R.M.

UDC 519.876.5
DOI: 10.26102/2310-6018/2023.42.3.004

  • Abstract
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Managing the pace of production is a relevant issue for a modern enterprise. It is necessary to select cutting tools and cutting conditions according to a given schedule. Errors in the production process can lead to huge time and money costs. The main goal of this paper is to provide a flexible algorithm that will allow the user to select the optimal combination of cutting conditions in compliance to the production rate. The algorithm being developed also helps to quickly respond to errors that occur during the production process. The theoretical model shows the user the risks when using a particular pace of work. The technologist will be able to make a decision independently while taking as a basis data on the tool life and productivity. The presented algorithm is based on the control of the average chip thickness. This makes it possible to describe the theoretical “cutting pattern” for any pair of tool and workpiece material. The paper presents a comparative analysis of the algorithm and tabular values of cutting modes. Following on from this analysis, it is apparent that the representation obtained by the technique used in this paper helps to analyze in more detail the rationality of choosing certain cutting modes.

Keywords: optimal tool wear, chip thickness, feed per tooth, theoretical cutting force, specific cutting force, net cutting force

For citation: Khisamutdinov R.M., Urmanov M.D., Khusainov R.M. A technique for selecting cutting conditions based on the control of average chip thickness. Modeling, Optimization and Information Technology. 2023;11(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1378 DOI: 10.26102/2310-6018/2023.42.3.004 (In Russ).

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Received 14.05.2023

Revised 20.06.2023

Accepted 11.07.2023

Published 30.09.2023