Process parameter optimisation of a minster draw‐redraw system
Non‐conformance in Unit Depth Value (UDV) of expansion rings for metal cans makes them prone to major defects, such as swells and distortions, during the Drawing/Redrawing industrial process. In this paper, with the aim of improving the manufacturing process quality, the process parameters for the M...
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Online Access: | https://doi.org/10.1002/eng2.12056 |
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doaj-13963c79276b476a816aa898b2c36ddb2020-11-25T01:45:04ZengWileyEngineering Reports2577-81962019-11-0114n/an/a10.1002/eng2.12056Process parameter optimisation of a minster draw‐redraw systemYashwantraj Seechurn0Pankaj Ramlugun1Department of Mechanical and Production Engineering University of Mauritius Reduit MauritiusDepartment of Mechanical and Production Engineering University of Mauritius Reduit MauritiusNon‐conformance in Unit Depth Value (UDV) of expansion rings for metal cans makes them prone to major defects, such as swells and distortions, during the Drawing/Redrawing industrial process. In this paper, with the aim of improving the manufacturing process quality, the process parameters for the Minster Draw/Redraw machine at a generic company are optimised so as to obtain the desired UDV. The Taguchi method is used to determine the most influential process parameters. Nine experiments have been performed with four selected parameters, namely, Upper Blank Holder Pressure, Lower Blank Holder Pressure, Profile Pad Pressure, and Inner Ram Value. A multiple‐linear regression analysis is also conducted to demonstrate the relationship between UDV and the considered parameters. The best settings for the respective process parameters are obtained via Analysis of Means (ANOM). Furthermore, Analysis of Variance (ANOVA) shows that the Inner Ram Value is the process parameter that most significantly affects the formation of expansion rings. The same methodology proposed in this study can easily be extended to find the optimum settings of process parameters for different can heights. Finally, an equation is formulated to predict the setting values of the most significant process parameters under user‐specified UDVs.https://doi.org/10.1002/eng2.12056design of experimentprocess optimisationTaguchi methodUnit Depth Value |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yashwantraj Seechurn Pankaj Ramlugun |
spellingShingle |
Yashwantraj Seechurn Pankaj Ramlugun Process parameter optimisation of a minster draw‐redraw system Engineering Reports design of experiment process optimisation Taguchi method Unit Depth Value |
author_facet |
Yashwantraj Seechurn Pankaj Ramlugun |
author_sort |
Yashwantraj Seechurn |
title |
Process parameter optimisation of a minster draw‐redraw system |
title_short |
Process parameter optimisation of a minster draw‐redraw system |
title_full |
Process parameter optimisation of a minster draw‐redraw system |
title_fullStr |
Process parameter optimisation of a minster draw‐redraw system |
title_full_unstemmed |
Process parameter optimisation of a minster draw‐redraw system |
title_sort |
process parameter optimisation of a minster draw‐redraw system |
publisher |
Wiley |
series |
Engineering Reports |
issn |
2577-8196 |
publishDate |
2019-11-01 |
description |
Non‐conformance in Unit Depth Value (UDV) of expansion rings for metal cans makes them prone to major defects, such as swells and distortions, during the Drawing/Redrawing industrial process. In this paper, with the aim of improving the manufacturing process quality, the process parameters for the Minster Draw/Redraw machine at a generic company are optimised so as to obtain the desired UDV. The Taguchi method is used to determine the most influential process parameters. Nine experiments have been performed with four selected parameters, namely, Upper Blank Holder Pressure, Lower Blank Holder Pressure, Profile Pad Pressure, and Inner Ram Value. A multiple‐linear regression analysis is also conducted to demonstrate the relationship between UDV and the considered parameters. The best settings for the respective process parameters are obtained via Analysis of Means (ANOM). Furthermore, Analysis of Variance (ANOVA) shows that the Inner Ram Value is the process parameter that most significantly affects the formation of expansion rings. The same methodology proposed in this study can easily be extended to find the optimum settings of process parameters for different can heights. Finally, an equation is formulated to predict the setting values of the most significant process parameters under user‐specified UDVs. |
topic |
design of experiment process optimisation Taguchi method Unit Depth Value |
url |
https://doi.org/10.1002/eng2.12056 |
work_keys_str_mv |
AT yashwantrajseechurn processparameteroptimisationofaminsterdrawredrawsystem AT pankajramlugun processparameteroptimisationofaminsterdrawredrawsystem |
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