Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool

Tool steel - SKD 11 is frequently used in industries for making dies and molds. This grade is chosen for its toughness, strength, and hardness maintained up to high temperature. However, the same properties make the steel extremely difficult and expensive to machine using conventional approaches....

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Main Authors: Amin, A. K. M. Nurul, Md. Saad, Muhd Hafiz, Arif, Muammer Din
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2012
Subjects:
Online Access:http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/1/AMR.538-541.799.pdf
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recordtype eprints
spelling iium-306262013-07-18T07:18:13Z http://irep.iium.edu.my/30626/ Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool Amin, A. K. M. Nurul Md. Saad, Muhd Hafiz Arif, Muammer Din TS200 Metal manufactures. Metalworking Tool steel - SKD 11 is frequently used in industries for making dies and molds. This grade is chosen for its toughness, strength, and hardness maintained up to high temperature. However, the same properties make the steel extremely difficult and expensive to machine using conventional approaches. Heat assisted machining has been found wide spread application in recent years to improve machinability of difficult-to-cut materials. This research paper presents the outcome of an investigation on heat assisted end milling of SKD 11 conducted on a vertical machining center using ball nose coated carbide inserts. The Design of Experiments (DoE) was done using the Response Surface Methodology, in order to develop empirical mathematical models of surface roughness and vibration in terms of cutting speed, feed, axial depth of cut, and heating temperature. The models were checked for significance using Analysis of Variance (ANOVA). 3-D response surface graphs of the interactions of primary cutting parameters with the responses were plotted. Optimization was then performed by using the desirability function approach. From the graphs and optimized results it was concluded that the primary input parameters could be controlled in order to reduce vibration amplitude and produce semi-finished machined surfaces applying induction heat assisted technique. Trans Tech Publications, Switzerland 2012-06-14 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30626/1/AMR.538-541.799.pdf Amin, A. K. M. Nurul and Md. Saad, Muhd Hafiz and Arif, Muammer Din (2012) Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool. Advanced Materials Research, 538-41. pp. 799-803. ISSN 1022-6680 Http://www.scientific.net/AMR.538-541.799 doi:10.4028/www.scientific.net/AMR.538-541.799
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TS200 Metal manufactures. Metalworking
spellingShingle TS200 Metal manufactures. Metalworking
Amin, A. K. M. Nurul
Md. Saad, Muhd Hafiz
Arif, Muammer Din
Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
description Tool steel - SKD 11 is frequently used in industries for making dies and molds. This grade is chosen for its toughness, strength, and hardness maintained up to high temperature. However, the same properties make the steel extremely difficult and expensive to machine using conventional approaches. Heat assisted machining has been found wide spread application in recent years to improve machinability of difficult-to-cut materials. This research paper presents the outcome of an investigation on heat assisted end milling of SKD 11 conducted on a vertical machining center using ball nose coated carbide inserts. The Design of Experiments (DoE) was done using the Response Surface Methodology, in order to develop empirical mathematical models of surface roughness and vibration in terms of cutting speed, feed, axial depth of cut, and heating temperature. The models were checked for significance using Analysis of Variance (ANOVA). 3-D response surface graphs of the interactions of primary cutting parameters with the responses were plotted. Optimization was then performed by using the desirability function approach. From the graphs and optimized results it was concluded that the primary input parameters could be controlled in order to reduce vibration amplitude and produce semi-finished machined surfaces applying induction heat assisted technique.
format Article
author Amin, A. K. M. Nurul
Md. Saad, Muhd Hafiz
Arif, Muammer Din
author_facet Amin, A. K. M. Nurul
Md. Saad, Muhd Hafiz
Arif, Muammer Din
author_sort Amin, A. K. M. Nurul
title Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
title_short Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
title_full Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
title_fullStr Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
title_full_unstemmed Modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of SKD 11 tool steel using ball nose tool
title_sort modeling and optimization of surface roughness and vibration amplitude in heat assisted end milling of skd 11 tool steel using ball nose tool
publisher Trans Tech Publications, Switzerland
publishDate 2012
url http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/
http://irep.iium.edu.my/30626/1/AMR.538-541.799.pdf
first_indexed 2023-09-18T20:44:50Z
last_indexed 2023-09-18T20:44:50Z
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