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2019 | OriginalPaper | Chapter

Determination of the Optimal Regression Model for the Measurement Quality Characteristics of the Micro Cutting Stone-Based Materials

Authors : Miloš Pjevic, Slavenko Stojadinovic, Ljubodrag Tanović, Mihajlo Popović, Goran Mladenović, Radovan Puzović

Published in: Proceedings of the 12th International Conference on Measurement and Quality Control - Cyber Physical Issue

Publisher: Springer International Publishing

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Abstract

Micro cutting represents one modern approach of processing the materials in order to achieve parts that feature high surface quality with low intensity of residual cracks. In the most cases, these parts are small sizes. Mechanisms that occur during micro cutting are not similar to those that occur during macro cutting. Even in the case of micro cutting brittle materials, the micro cutting mechanism becomes much more complex. The possibility of processing brittle materials in a ductile mode allows reduction of the intensity of the residual cracks within the material, since there is no initialization of the cracks within the material in this regime. However, although in this mode part is only plastically deformed, the intensity values of the components of the cutting force can vary considerably, especially if the processing is carried out on stone-based materials that are highly heterogeneous. In order to establish an adequate dependence of the cutting force components of the processing regimes, it is necessary to apply optimal regression model on the experimental results that will optimally cover all existing conditions, which is also the topic of this paper. The material over which micro-cutting experiments were carried out was marble Plavi tok. Experiments were carried out with two different tools whose tip radius value were R0.2 and R0.15 mm, and the value of the micro-cutting speed was vs = 25 m/s.

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Metadata
Title
Determination of the Optimal Regression Model for the Measurement Quality Characteristics of the Micro Cutting Stone-Based Materials
Authors
Miloš Pjevic
Slavenko Stojadinovic
Ljubodrag Tanović
Mihajlo Popović
Goran Mladenović
Radovan Puzović
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-18177-2_18

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