FEM to
Finite element modeling (FEM) is considered a famous method belonging to the numerical simulation methods. First it is a dominant technique in structural mechanics. Hence, this paper is focused on the effect of feed rate (f) on surface roughness (Ra) and cutting force components (Fc,Ft) during the f...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2013-12-01
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Series: | HBRC Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1687404813000278 |
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author | Moaz H. Ali Basim A. Khidhir M.N.M. Ansari Bashir Mohamed |
author_facet | Moaz H. Ali Basim A. Khidhir M.N.M. Ansari Bashir Mohamed |
author_sort | Moaz H. Ali |
collection | DOAJ |
description | Finite element modeling (FEM) is considered a famous method belonging to the numerical simulation methods. First it is a dominant technique in structural mechanics. Hence, this paper is focused on the effect of feed rate (f) on surface roughness (Ra) and cutting force components (Fc,Ft) during the face-milling operation of the titanium alloy (Ti–6Al–4V). The design of experiments was used to conduct the experiments to evaluate the effect of the feed rate on the machining responses such as surface roughness and cutting force components using a face milling operation during the cutting process of the titanium alloy (Ti–6Al–4V). The tests are performed at several feed rates (f) while the axial depth of the cut and cutting speed remain constant in dry cutting conditions. The results showed that one could predict the surface roughness by measuring the feed cutting force instead of directly measuring the surface roughness experimentally through using the finite element method to build the model and to predict the surface roughness from the values of the feed cutting force. This is because a similar trend was found between the surface roughness and feed cutting force. Therefore, constructing a prediction model via finite element modeling (FEM) led to the conclusion that we can estimate feed cutting force and thus surface roughness. |
first_indexed | 2024-12-23T14:09:16Z |
format | Article |
id | doaj.art-ce9c2c319ece4397bc2e49be07994990 |
institution | Directory Open Access Journal |
issn | 1687-4048 |
language | English |
last_indexed | 2024-12-23T14:09:16Z |
publishDate | 2013-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | HBRC Journal |
spelling | doaj.art-ce9c2c319ece4397bc2e49be079949902022-12-21T17:44:06ZengTaylor & Francis GroupHBRC Journal1687-40482013-12-019326326910.1016/j.hbrcj.2013.05.003FEM toMoaz H. Ali0Basim A. Khidhir1M.N.M. Ansari2Bashir Mohamed3Department of Mechanical Engineering, Universiti of Tenaga Nasional, Km 7 Jalan Kajang-Puchong, 43009 Kajang, MalaysiaDepartment of Mechanical Engineering, Technical College of Sulaymania, IraqDepartment of Mechanical Engineering, Universiti of Tenaga Nasional, Km 7 Jalan Kajang-Puchong, 43009 Kajang, MalaysiaFaculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, MalaysiaFinite element modeling (FEM) is considered a famous method belonging to the numerical simulation methods. First it is a dominant technique in structural mechanics. Hence, this paper is focused on the effect of feed rate (f) on surface roughness (Ra) and cutting force components (Fc,Ft) during the face-milling operation of the titanium alloy (Ti–6Al–4V). The design of experiments was used to conduct the experiments to evaluate the effect of the feed rate on the machining responses such as surface roughness and cutting force components using a face milling operation during the cutting process of the titanium alloy (Ti–6Al–4V). The tests are performed at several feed rates (f) while the axial depth of the cut and cutting speed remain constant in dry cutting conditions. The results showed that one could predict the surface roughness by measuring the feed cutting force instead of directly measuring the surface roughness experimentally through using the finite element method to build the model and to predict the surface roughness from the values of the feed cutting force. This is because a similar trend was found between the surface roughness and feed cutting force. Therefore, constructing a prediction model via finite element modeling (FEM) led to the conclusion that we can estimate feed cutting force and thus surface roughness.http://www.sciencedirect.com/science/article/pii/S1687404813000278Finite element modeling (FEM)Feed rateSurface roughnessCutting forceFace-millingTitanium alloy (Ti–6Al–4V) |
spellingShingle | Moaz H. Ali Basim A. Khidhir M.N.M. Ansari Bashir Mohamed FEM to HBRC Journal Finite element modeling (FEM) Feed rate Surface roughness Cutting force Face-milling Titanium alloy (Ti–6Al–4V) |
title | FEM to |
title_full | FEM to |
title_fullStr | FEM to |
title_full_unstemmed | FEM to |
title_short | FEM to |
title_sort | fem to |
topic | Finite element modeling (FEM) Feed rate Surface roughness Cutting force Face-milling Titanium alloy (Ti–6Al–4V) |
url | http://www.sciencedirect.com/science/article/pii/S1687404813000278 |
work_keys_str_mv | AT moazhali femto AT basimakhidhir femto AT mnmansari femto AT bashirmohamed femto |