The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations
Optimal condition selection in machining operations is an imperative decision for the process engineer as it influences improved tool life and surface roughness values. As the aluminium market is extremely competitive, process engineers strive to understand what to do to gain preference from prospec...
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LPPM Universitas Katolik Parahyangan
2021-04-01
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doaj-2f1662a385b144df98f16d3da5d611f62021-06-18T00:13:01ZengLPPM Universitas Katolik ParahyanganJurnal Rekayasa Sistem Industri0216-10362339-14992021-04-0110111410.26593/jrsi.v10i1.4271.1-143895The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining OperationsOnoyeyan Onajite0Sunday Ayoola Oke1https://orcid.org/0000-0002-0914-8146Department of Mechanical Engineering, University of Lagos, Akoka-Yaba, Lagos, NigeriaUniversity of Lagos, Lagos, NigeriaOptimal condition selection in machining operations is an imperative decision for the process engineer as it influences improved tool life and surface roughness values. As the aluminium market is extremely competitive, process engineers strive to understand what to do to gain preference from prospective customers. From this viewpoint, the criteria responsible for operating decisions should be examined. In this paper the WSM, WPM and WASPAS multicriteria methods are proposed for optimal machining conditions for turned aluminium bars. A stepwise methodology of the WSM, WPM and WASPAS methods is detailed. The proposed technique was tested on published data regarding the turning of an aluminium bar, machined on a lathe machine. The case study consists of three input parameters (spindle speed, feed rate and depth of cut) and four responses (cutting temperature, cutting force, surface roughness and material removal rate). After analysing the experimental data using the models, the entropy method chose material removal rate was chosen as the best. Using the three other models, the best selection was run 17 which correspond to an input parameter of 605 rpm spindle speed, 0.12 mm/rev feed rate and 1.8 mm depth of cut. This article offers a completely new approach to operating condition selection in the turning of the aluminium bar. In the current aluminium market, it is extremely important to understand the operating conditions of the machine for enlarged customer patronage and sustainability. The unique feature of this approach is the elevated level of reliability it exhibits.https://journal.unpar.ac.id/index.php/jrsi/article/view/4271 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Onoyeyan Onajite Sunday Ayoola Oke |
spellingShingle |
Onoyeyan Onajite Sunday Ayoola Oke The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations Jurnal Rekayasa Sistem Industri |
author_facet |
Onoyeyan Onajite Sunday Ayoola Oke |
author_sort |
Onoyeyan Onajite |
title |
The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations |
title_short |
The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations |
title_full |
The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations |
title_fullStr |
The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations |
title_full_unstemmed |
The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations |
title_sort |
application of wsm, wpm and waspas multicriteria methods for optimum operating conditions selection in machining operations |
publisher |
LPPM Universitas Katolik Parahyangan |
series |
Jurnal Rekayasa Sistem Industri |
issn |
0216-1036 2339-1499 |
publishDate |
2021-04-01 |
description |
Optimal condition selection in machining operations is an imperative decision for the process engineer as it influences improved tool life and surface roughness values. As the aluminium market is extremely competitive, process engineers strive to understand what to do to gain preference from prospective customers. From this viewpoint, the criteria responsible for operating decisions should be examined. In this paper the WSM, WPM and WASPAS multicriteria methods are proposed for optimal machining conditions for turned aluminium bars. A stepwise methodology of the WSM, WPM and WASPAS methods is detailed. The proposed technique was tested on published data regarding the turning of an aluminium bar, machined on a lathe machine. The case study consists of three input parameters (spindle speed, feed rate and depth of cut) and four responses (cutting temperature, cutting force, surface roughness and material removal rate). After analysing the experimental data using the models, the entropy method chose material removal rate was chosen as the best. Using the three other models, the best selection was run 17 which correspond to an input parameter of 605 rpm spindle speed, 0.12 mm/rev feed rate and 1.8 mm depth of cut. This article offers a completely new approach to operating condition selection in the turning of the aluminium bar. In the current aluminium market, it is extremely important to understand the operating conditions of the machine for enlarged customer patronage and sustainability. The unique feature of this approach is the elevated level of reliability it exhibits. |
url |
https://journal.unpar.ac.id/index.php/jrsi/article/view/4271 |
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