Influence of the Nose Radius on the Machining Forces Induced during AISI-4140 Hard Turning: A CAD-Based and 3D FEM Approach

Tzotzis, A. ; Garcia-Hernandez, C. (Universidad de Zaragoza) ; Huertas-Talon, J.L. (Universidad de Zaragoza) ; Kyratsis, P.

Resumen: The present study investigated the performance of three ceramic inserts in terms of the micro-geometry (nose radius and cutting edge type) with the aid of a 3D finite element (FE) model. A set of nine simulation runs was performed according to three levels of cutting speed and feed rate with respect to a predefined depth of cut and tool nose radius. The yielded results were compared to the experimental values that were acquired at identical cutting conditions as the simulated ones for verification purposes. Consequently, two more sets of nine simulations each were carried out so that a total of 27 turning simulation runs would adduce. The two extra sets corresponded to the same cutting conditions, but to different cutting tools (with varied nose radius). Moreover, a prediction model was established based on statistical methodologies such as the response surface methodology (RSM) and the analysis of variance (ANOVA), further investigating the relationship between the critical parameters (cutting speed, feed rate, and nose radius) and their influence on the generated turning force components. The comparison between the experimental values of the cutting force components and the simulated ones demonstrated an increased correlation that exceeded 89%. Similarly, the values derived from the statistical model were in compliance with the equivalent FE model values due to the verified adequacy.

Idioma: Inglés

DOI: 10.3390/mi11090798

Año: 2020

Publicado en: MICROMACHINES 11, 9 (2020), 798 [16 pp.]
ISSN: 2072-666X

Factor impacto JCR: 2.891 (2020)

Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 23 / 64 = 0.359 (2020) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 69 / 160 = 0.431 (2020) - Q2 - T2
Categ. JCR: NANOSCIENCE & NANOTECHNOLOGY rank: 76 / 106 = 0.717 (2020) - Q3 - T3
Categ. JCR: CHEMISTRY, ANALYTICAL rank: 46 / 83 = 0.554 (2020) - Q3 - T2

Factor impacto SCIMAGO: 0.574 - Control and Systems Engineering (Q2) - Mechanical Engineering (Q2) - Electrical and Electronic Engineering (Q2)

Tipo y forma: Article (Published version)

Área (Departamento): Área Expresión Gráfica en Ing. (Dpto. Ingeniería Diseño Fabri.)
Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)