الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Electric Discharge machining (EDM) is an unconventional electro thermal
machining process used for manufacturing geometrically complex or hard
material parts that are extremely difficult-to-machined by conventional machining
process. The process involves a controlled erosion of electrically
conductive materials by the initiation of rapid and repetitive spark discharges
between the tool and work piece separated by a suitable gap of about 0.01mm
to 0.05mm. The controlled pulsing of direct current between the tool and the
work piece produces the spark discharge. The (EDM) process that known
today is a result of various researches carried out over the years. This research
presents the results of experimental studies carried out to conduct a comprehensive
investigation on the influence of (EDM) input parameters on the
characteristics of the machined surface and tool wear. The experiments are
conducted by varying (EDM) parameters such as current and pulse-on-time.
The performance to be measured like material removal rate, tool wear rate,
surface roughness, and hardness are assessed.
Then, An L16 (21x42) Taguchi standard orthogonal array is chosen for the
design of experiments (DOE) due to the number of factors and their levels in
the investigation. Mini tab Software version 16 was used to determine the
main effects of the process parameters. Analysis of variance (ANOVA) was
performed to find the dependent variables that affect the machining characteristics.
Regression analysis is performed to find out the relationship between
the different factors and responses. Signal to noise (S/N) Ratio analysis is used
to establish the optimum condition.
vElectric Discharge machining (EDM) is an unconventional electro thermal
machining process used for manufacturing geometrically complex or hard
material parts that are extremely difficult-to-machined by conventional machining
process. The process involves a controlled erosion of electrically
conductive materials by the initiation of rapid and repetitive spark discharges
between the tool and work piece separated by a suitable gap of about 0.01mm
to 0.05mm. The controlled pulsing of direct current between the tool and the
work piece produces the spark discharge. The (EDM) process that known
today is a result of various researches carried out over the years. This research
presents the results of experimental studies carried out to conduct a comprehensive
investigation on the influence of (EDM) input parameters on the
characteristics of the machined surface and tool wear. The experiments are
conducted by varying (EDM) parameters such as current and pulse-on-time.
The performance to be measured like material removal rate, tool wear rate,
surface roughness, and hardness are assessed.
Then, An L16 (21x42) Taguchi standard orthogonal array is chosen for the
design of experiments (DOE) due to the number of factors and their levels in
the investigation. Mini tab Software version 16 was used to determine the
main effects of the process parameters. Analysis of variance (ANOVA) was
performed to find the dependent variables that affect the machining characteristics.
Regression analysis is performed to find out the relationship between
the different factors and responses. Signal to noise (S/N) Ratio analysis is used
to establish the optimum condition.
vElectric Discharge machining (EDM) is an unconventional electro thermal
machining process used for manufacturing geometrically complex or hard
material parts that are extremely difficult-to-machined by conventional machining
process. The process involves a controlled erosion of electrically
conductive materials by the initiation of rapid and repetitive spark discharges
between the tool and work piece separated by a suitable gap of about 0.01mm
to 0.05mm. The controlled pulsing of direct current between the tool and the
work piece produces the spark discharge. The (EDM) process that known
today is a result of various researches carried out over the years. This research
presents the results of experimental studies carried out to conduct a comprehensive
investigation on the influence of (EDM) input parameters on the
characteristics of the machined surface and tool wear. The experiments are
conducted by varying (EDM) parameters such as current and pulse-on-time.
The performance to be measured like material removal rate, tool wear rate,
surface roughness, and hardness are assessed.
Then, An L16 (21x42) Taguchi standard orthogonal array is chosen for the
design of experiments (DOE) due to the number of factors and their levels in
the investigation. Mini tab Software version 16 was used to determine the
main effects of the process parameters. Analysis of variance (ANOVA) was
performed to find the dependent variables that affect the machining characteristics.
Regression analysis is performed to find out the relationship between
the different factors and responses. Signal to noise (S/N) Ratio analysis is used
to establish the optimum condition.
vElectric Discharge machining (EDM) is an unconventional electro thermal
machining process used for manufacturing geometrically complex or hard
material parts that are extremely difficult-to-machined by conventional machining
process. The process involves a controlled erosion of electrically
conductive materials by the initiation of rapid and repetitive spark discharges
between the tool and work piece separated by a suitable gap of about 0.01mm
to 0.05mm. The controlled pulsing of direct current between the tool and the
work piece produces the spark discharge. The (EDM) process that known
today is a result of various researches carried out over the years. This research
presents the results of experimental studies carried out to conduct a comprehensive
investigation on the influence of (EDM) input parameters on the
characteristics of the machined surface and tool wear. The experiments are
conducted by varying (EDM) parameters such as current and pulse-on-time.
The performance to be measured like material removal rate, tool wear rate,
surface roughness, and hardness are assessed.
Then, An L16 (21x42) Taguchi standard orthogonal array is chosen for the
design of experiments (DOE) due to the number of factors and their levels in
the investigation. Mini tab Software version 16 was used to determine the
main effects of the process parameters. Analysis of variance (ANOVA) was
performed to find the dependent variables that affect the machining characteristics.
Regression analysis is performed to find out the relationship between
the different factors and responses. Signal to noise (S/N) Ratio analysis is used
to establish the optimum condition.
vElectric Discharge machining (EDM) is an unconventional electro thermal
machining process used for manufacturing geometrically complex or hard
material parts that are extremely difficult-to-machined by conventional machining
process. The process involves a controlled erosion of electrically
conductive materials by the initiation of rapid and repetitive spark discharges
between the tool and work piece separated by a suitable gap of about 0.01mm
to 0.05mm. The controlled pulsing of direct current between the tool and the
work piece produces the spark discharge. The (EDM) process that known
today is a result of various researches carried out over the years. This research
presents the results of experimental studies carried out to conduct a comprehensive
investigation on the influence of (EDM) input parameters on the
characteristics of the machined surface and tool wear. The experiments are
conducted by varying (EDM) parameters such as current and pulse-on-time.
The performance to be measured like material removal rate, tool wear rate,
surface roughness, and hardness are assessed.
Then, An L16 (21x42) Taguchi standard orthogonal array is chosen for the
design of experiments (DOE) due to the number of factors and their levels in
the investigation. Mini tab Software version 16 was used to determine the
main effects of the process parameters. Analysis of variance (ANOVA) was
performed to find the dependent variables that affect the machining characteristics.
Regression analysis is performed to find out the relationship between
the different factors and responses. Signal to noise (S/N) Ratio analysis is used
to establish the optimum condition.
v
It is concluded that metal removal rate (MRR), tool wear rate (TWR), surface
roughness (Ra) and hardness (HRC) increases with increase in current. But, as
the pulse-on-time increases MRR, TWR and Ra are decreases. Hardness value
increases as pulse on-time increases. The results of this study could be utilized
in the selection of optimum process parameters to achieve the desired characteristics
of the surface produced by (EDM) when machining (AISI H13) tool
steel.