New Insight into the Machined Surface Micro-roughness and the Tool Feed Relation
Karol Vasilko, Zuzana Murčinková, Jozef Nosáľ
Archives of Current Research International · pp. 1–6 · Published 14 Apr 2016
10.9734/ACRI/2016/24800Abstract
The paper presents research results of analyzing the relation between the machined surface micro-roughness and tool feed f and thus introduces new insight into a problem comparing the experimental and theoretical results. During evaluation of profile records and theoretically defined rounded tool tip, the considerable disproportions can be found. In practice, this fact leads to incorrectly determination of tool feed for required value of Rz and selection of tool tip radius rɛ. The aim of the paper is to identify the reasons of such disproportions and suggest a method of their elimination by finding the more precise relation Rz-f as the standard well-known relation is. The many experiments were performed testing the low carbon steel machined by coated sintered carbide and ceramic tools.
References (5)
- 1 Predicting surface roughness in machining: a review [DOI]
- 2 Prediction of surface roughness in the end milling machining using Artificial Neural Network [DOI]
- 3 Development of Empirical Models for Surface Roughness Prediction in Finish Turning [DOI]
- 4 Milling surface roughness prediction using evolutionary programming methods [DOI]
- 5 A Model for Surface Roughness in Ultraprecision Hard Turning [DOI]
Cited by 1
A. Panda, V. Nahornyi, J. Valíček · The International Journal of Advanced Manufacturing Technology · 2022
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