Optimization of EDM Injection Flushing Type Control Parameters Using Grey Relational Analysis on AISI 304 Stainless Steel Workpiece
This paper deals with optimization of Electrical Discharge Machining (EDM) Injection flushing type control parameters on multi-performance optimization characteristics instead of single performance optimization using Grey Relational Analysis (GRA) Method. The experimental control parameters were bei...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2010
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1590/ http://umpir.ump.edu.my/id/eprint/1590/1/57_NCMER_064.pdf |
| id |
oai:umpir.ump.edu.my:1590 |
|---|---|
| recordtype |
eprints |
| spelling |
oai:umpir.ump.edu.my:15902018-01-23T01:41:23Z http://umpir.ump.edu.my/id/eprint/1590/ Optimization of EDM Injection Flushing Type Control Parameters Using Grey Relational Analysis on AISI 304 Stainless Steel Workpiece Mohamed Reza Zalani, Mohamed Suffian M. A., Hamdi Azmir, Azhari TJ Mechanical engineering and machinery This paper deals with optimization of Electrical Discharge Machining (EDM) Injection flushing type control parameters on multi-performance optimization characteristics instead of single performance optimization using Grey Relational Analysis (GRA) Method. The experimental control parameters were being optimized according to their various machining characteristics namely material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR) using copper as the tool and AISI 304 stainless steel as the workpiece. This parameters optimization was based on Taguchi’s orthogonal array (OA) combined with GRA. A grey relational grade (GRG) calculated based on GRA was used to optimize the EDM process with multiple performance characteristics and Taguchi’s L18 OA was used to plan the experiments. The machining parameters selected are polarity, pulse on duration, discharge current, discharge voltage, machining depth, machining diameter and dielectric liquid pressure. Results shown that machining performance was improved effectively using this approach. The predicted responses at optimum parameter levels are in good agreement with the results of confirmation experiments conducted for verification tests. Universiti Malaysia Pahang 2010 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1590/1/57_NCMER_064.pdf Mohamed Reza Zalani, Mohamed Suffian and M. A., Hamdi and Azmir, Azhari (2010) Optimization of EDM Injection Flushing Type Control Parameters Using Grey Relational Analysis on AISI 304 Stainless Steel Workpiece. In: National Conference in Mechanical Engineering Research and Postgraduate Students (1st NCMER 2010), 26-27 May 2010 , FKM Conference Hall, UMP, Kuantan, Pahang, Malaysia. . ISBN 978-967-5080-9501 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TJ Mechanical engineering and machinery |
| spellingShingle |
TJ Mechanical engineering and machinery Mohamed Reza Zalani, Mohamed Suffian M. A., Hamdi Azmir, Azhari Optimization of EDM Injection Flushing Type Control Parameters Using Grey Relational Analysis on AISI 304 Stainless Steel Workpiece |
| description |
This paper deals with optimization of Electrical Discharge Machining (EDM) Injection flushing type control parameters on multi-performance optimization characteristics instead of single performance optimization using Grey Relational Analysis (GRA) Method. The experimental control parameters were being optimized according to their various machining characteristics namely material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR) using copper as the tool and AISI 304 stainless steel as the workpiece. This parameters optimization was based on Taguchi’s orthogonal array (OA) combined with GRA. A grey relational grade (GRG) calculated based on GRA was used to optimize the EDM process with multiple performance characteristics and Taguchi’s L18 OA was used to plan the experiments. The machining parameters selected are polarity, pulse on duration, discharge current, discharge voltage, machining depth, machining diameter and dielectric liquid pressure. Results shown that machining
performance was improved effectively using this approach. The predicted responses at optimum parameter levels are in good agreement with the results of confirmation experiments conducted for verification tests. |
| format |
Conference or Workshop Item |
| author |
Mohamed Reza Zalani, Mohamed Suffian M. A., Hamdi Azmir, Azhari |
| author_facet |
Mohamed Reza Zalani, Mohamed Suffian M. A., Hamdi Azmir, Azhari |
| author_sort |
Mohamed Reza Zalani, Mohamed Suffian |
| title |
Optimization of EDM Injection Flushing Type Control
Parameters Using Grey Relational Analysis on AISI 304
Stainless Steel Workpiece
|
| title_short |
Optimization of EDM Injection Flushing Type Control
Parameters Using Grey Relational Analysis on AISI 304
Stainless Steel Workpiece
|
| title_full |
Optimization of EDM Injection Flushing Type Control
Parameters Using Grey Relational Analysis on AISI 304
Stainless Steel Workpiece
|
| title_fullStr |
Optimization of EDM Injection Flushing Type Control
Parameters Using Grey Relational Analysis on AISI 304
Stainless Steel Workpiece
|
| title_full_unstemmed |
Optimization of EDM Injection Flushing Type Control
Parameters Using Grey Relational Analysis on AISI 304
Stainless Steel Workpiece
|
| title_sort |
optimization of edm injection flushing type control
parameters using grey relational analysis on aisi 304
stainless steel workpiece |
| publisher |
Universiti Malaysia Pahang |
| publishDate |
2010 |
| url |
http://umpir.ump.edu.my/id/eprint/1590/ http://umpir.ump.edu.my/id/eprint/1590/1/57_NCMER_064.pdf |
| first_indexed |
2018-09-07T00:24:05Z |
| last_indexed |
2018-09-07T00:24:05Z |
| _version_ |
1610906174937366528 |