Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi - objective genetic algorithm approach . R esponse surface methodology coupled with a central composite design of experiments is used for mod...
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| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Universiti Malaysia Pahang
2015
|
| Subjects: | |
| Online Access: | http://ijame.ump.edu.my/images/Volume_12/15_%20Najiha%20et%20al.pdf http://ijame.ump.edu.my/images/Volume_12/15_%20Najiha%20et%20al.pdf http://umpir.ump.edu.my/11909/1/fkm-2015-Najiha-Multi%20objective%20optimization-full.pdf |
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| Summary: | The purpose of this research is to
optimize
the
process of minimum quantity lubrication (MQL) in
the end milling
of AA6061T6
using multi
-
objective genetic algorithm approach
.
R
esponse surface
methodology coupled with
a
central composite design of experiments is used for modeling. Data
is collected from
a
vertical CNC milling cent
e
r and the input parameters are cutting speed,
table
feed
rate
, axial depth of cut and the minimum quantity lubrication flow
rate
.
A
nalysis of variance
at a 95% confidence level
is implemented to identify the most significant input variables on the
CNC end milling process.
Optimization of the responses
is done using
a
multi
-
objective genetic
algorithm.
A m
ulti
-
criteria decision making utility is used to find among
the
feasible range
of
optimum design
s
for
the operating parameters and the responses.
An iterative multi
-
criteria
decision making algorithm
is used to
find the best design among those
obtained from multi
-
objective optimization with respect to the given conditions.
The best design obtained for the equal
weightage case is the design at
5252
rpm, with a feed rate of
311 mm/min, a depth of cut of
3.47
mm and MQL flow rate at 0.44
ml/min. |
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