Impact of Cutting Data on Cutting Forces, Surface Roughness, and Chip Type in Order to Improve the Tool Operation Reliability in Sintered Cobalt Turning

Author:

Franczyk Emilia1ORCID,Zębala Wojciech1ORCID

Affiliation:

1. Department of Production Engineering, Faculty of Mechanical, Cracow University of Technology, 31-155 Cracow, Poland

Abstract

The authors present the results of laboratory tests analysing the impact of selected cutting data and tool geometry on surface quality, chip type and cutting forces in the process of orthogonal turning of sintered cobalt. The selected cutting data are cutting speed and feed rate. During the experiments, the cutting speed was varied in the range of vc = 50–200 m/min and the feed rate in the range of f = 0.077–0.173 mm/rev. In order to measure and acquire cutting force values, a measuring setup was assembled. It consisted of a Kistler 2825A-02 piezoelectric dynamometer with a single-position tool holder, a Kistler 5070 signal amplifier and a PC with DynoWare software (Version 2825A, Kistler Group, Winterthur, Switzerland)). The measured surface quality parameters were Ra and Rz. The components of the cutting forces obtained in the experiment varied depending on the feed rate and cutting speed. The obtained test results will make it possible to determine the optimal parameters for machining and tool geometry in order to reduce the machine operating time and increase the life of the cutting insert during the turning of sintered cobalt, which will contribute to sustainable technology.

Publisher

MDPI AG

Reference23 articles.

1. An analysis of the operational characteristics of innovative tool structures used in high speed rough milling processes;Semotiuk;Eksploat. Niezawodn.,2009

2. Machno, M. (2020). Investigation of the machinability of the inconel 718 superalloy during the electrical discharge drilling process. Materials, 13.

3. Geometallurgy of cobalt ores: A review;Dehaine;Min. Eng.,2020

4. Machinability of Nickel Based Superalloys: A Review;Thellaputta;Mater. Today Proc.,2017

5. Machinability of Cobalt-based and Cobalt Chromium Molybdenum Alloys—A Review;Zaman;Procedia Manuf.,2017

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