<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Measuring and characterizing surface properties represents one of the most important aspects in manufacturing processes. In this paper, it has been shown that the factorial design of experiments combined with regression techniques can be applied to evaluate the roughness of machined surfaces with different cutting parameters.</p>
</abstract>

Measuring and characterizing surface properties represents one of the most important aspects in manufacturing processes. In this paper, it has been shown that the factorial design of experiments combined with regression techniques can be applied to evaluate the roughness of machined surfaces with different cutting parameters.

Surface Roughness Prediction Techniques in Turning Processes

Scientific Bulletin of Valahia University - Materials and Mechanics

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Surface Roughness Prediction Techniques in Turning Processes"}

Measuring and characterizing surface properties represents one of the most important aspects in manufacturing processes. In this paper, it has been shown that...

Surface Roughness Prediction Techniques in Turning Processes

Online veröffentlicht: 02. Mai 2024

Seitenbereich: 42 - 45

DOI: https://doi.org/10.2478/bsmm-2024-0008

Schlüsselwörter
mathematical model, surface roughness, cutting parameters

© 2024 Adriana Cîrstoiu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Surface Roughness Prediction Techniques in Turning Processes

Online veröffentlicht: 02. Mai 2024

Seitenbereich: 42 - 45

DOI: https://doi.org/10.2478/bsmm-2024-0008

Schlüsselwörtermathematical model, surface roughness, cutting parameters

© 2024 Adriana Cîrstoiu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
mathematical model, surface roughness, cutting parameters