Multi objective optimization in cnc turning of S45C carbon steel using taguchi and grey relational analyses /
The study of multiobjective optimization in CNC turning of S45C carbon steel by using Taguchi and Grey Relational Analysis (GRA) method has been reported in this study. Based on grey relational analysis, a grey relational grade (GRG) is computed to optimize the machining parameters of CNC turning p...
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| Format: | Thesis Software eBook |
| Language: | English |
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Perlis, Malaysia
School of Manufacturing Engineering, Universiti Malaysia Perlis
2015
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| LEADER | 02238nmm a2200421 i 4500 | ||
|---|---|---|---|
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| 100 | 1 | |a Ahmad Hisham Ahmad Shah, |e author | |
| 245 | 1 | 0 | |a Multi objective optimization in cnc turning of S45C carbon steel using taguchi and grey relational analyses / |c Ahmah Hisham Ahmad Shah. |
| 264 | 1 | |a Perlis, Malaysia |b School of Manufacturing Engineering, Universiti Malaysia Perlis |c 2015 | |
| 300 | |a 1 computer disc |b illustrations |c 12 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a computer disc |b cd |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 502 | |a Thesis (Master of Science Manufacturing Engineering) -- Universiti Malaysia Perlis. School of Manufacturing Engineering, 2015. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a The study of multiobjective optimization in CNC turning of S45C carbon steel by using Taguchi and Grey Relational Analysis (GRA) method has been reported in this study. Based on grey relational analysis, a grey relational grade (GRG) is computed to optimize the machining parameters of CNC turning process with multiple performance measures which is surface roughness material removal rate (MMR), tool wear and power consumtion of the machine. | ||
| 541 | |a Gift from Centre for Graduate Studies (Master of Science - Manufacturing Engineering |b 2017 | ||
| 650 | 0 | |a Taguchi methods (Quality control) | |
| 710 | 2 | |a Universiti Malaysia Perlis | |
| 720 | 1 | |a Dr. Azwan Iskandar Azmi, |s upervisor | |
| 790 | 1 | |a School of Manufacturing Engineering | |
| 791 | 1 | |a Master of Science | |
| 792 | 1 | |a 2015 | |
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| 994 | |a C0 |b MYPMP | ||
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| 952 | |0 0 |1 0 |2 lcc |4 0 |6 TS0156 H673 02015 RB |7 0 |9 57708 |a PTSFP |b PTSFP |c 8 |d 2021-07-31 |o TS156 H673 2015 rb |p 901000412 |r 2021-07-31 |t 1 |w 2021-07-31 |y CD-TD | ||