Cargando…

Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements

This work deals with technological considerations required to optimize the cutting data and tool path pattern for finishing the milling of free-form surfaces made of steel in a hardened state. In terms of technological considerations, factors such as feed rate, workpiece geometry, tool inclination a...

Descripción completa

Detalles Bibliográficos
Autores principales: Matras, Andrzej, Zębala, Wojciech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085022/
https://www.ncbi.nlm.nih.gov/pubmed/32131406
http://dx.doi.org/10.3390/ma13051109
_version_ 1783508857745571840
author Matras, Andrzej
Zębala, Wojciech
author_facet Matras, Andrzej
Zębala, Wojciech
author_sort Matras, Andrzej
collection PubMed
description This work deals with technological considerations required to optimize the cutting data and tool path pattern for finishing the milling of free-form surfaces made of steel in a hardened state. In terms of technological considerations, factors such as feed rate, workpiece geometry, tool inclination angles (lead and tilt angles) and surface roughness are taken into account. The proposed method is based on calculations of the cutting force components and surface roughness measurements. A case study presented in the paper is based on the AISI H13 steel, with hardness 50 HRC and milling with a cubic boron nitride (CBN) tool. The results of the research showed that by modifications of the feed value based on the currently machined cross-sectional area, it is possible to control the cutting force components and surface roughness. During the process optimization, the 9% and 15% increase in the machining process efficiency and the required surface roughness were obtained according to the tool inclination angle and feed rate optimization procedure, respectively.
format Online
Article
Text
id pubmed-7085022
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70850222020-03-23 Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements Matras, Andrzej Zębala, Wojciech Materials (Basel) Article This work deals with technological considerations required to optimize the cutting data and tool path pattern for finishing the milling of free-form surfaces made of steel in a hardened state. In terms of technological considerations, factors such as feed rate, workpiece geometry, tool inclination angles (lead and tilt angles) and surface roughness are taken into account. The proposed method is based on calculations of the cutting force components and surface roughness measurements. A case study presented in the paper is based on the AISI H13 steel, with hardness 50 HRC and milling with a cubic boron nitride (CBN) tool. The results of the research showed that by modifications of the feed value based on the currently machined cross-sectional area, it is possible to control the cutting force components and surface roughness. During the process optimization, the 9% and 15% increase in the machining process efficiency and the required surface roughness were obtained according to the tool inclination angle and feed rate optimization procedure, respectively. MDPI 2020-03-02 /pmc/articles/PMC7085022/ /pubmed/32131406 http://dx.doi.org/10.3390/ma13051109 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Matras, Andrzej
Zębala, Wojciech
Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title_full Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title_fullStr Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title_full_unstemmed Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title_short Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements
title_sort optimization of cutting data and tool inclination angles during hard milling with cbn tools, based on force predictions and surface roughness measurements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085022/
https://www.ncbi.nlm.nih.gov/pubmed/32131406
http://dx.doi.org/10.3390/ma13051109
work_keys_str_mv AT matrasandrzej optimizationofcuttingdataandtoolinclinationanglesduringhardmillingwithcbntoolsbasedonforcepredictionsandsurfaceroughnessmeasurements
AT zebalawojciech optimizationofcuttingdataandtoolinclinationanglesduringhardmillingwithcbntoolsbasedonforcepredictionsandsurfaceroughnessmeasurements