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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Main Authors: Yashwantraj Seechurn, Pankaj Ramlugun
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.12056
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spelling 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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