Parametric Optimization of Electro Discharge Process during Machining
of Aluminum/Boron Carbide/Graphite Composite 05-15-01-0007
This also appears in
SAE International Journal of Materials and Manufacturing-V131-5EJ
The efficiency of the traditional machining process becomes limited because of
the mechanical properties and complexity of the geometric shape of the processed
materials. This difficulty is resolved through the nonconventional machining
process. Electric Discharge Machining (EDM) process is one of the popular
nonconventional machining processes among all nonconventional machining
processes for processing such materials. The main objective of the present
research work is to evaluate the effect of percentage weight fraction of
reinforcement and process parameters on machining responses during EDM of
aluminum (Al) 7075-reinforced boron carbide (B4C) and graphite metal
matrix composite (MMC) and optimization of the result. Servo voltage (SVO),
pulse-on time (TON), pulse current (I), and different weight
percentages of B4C and graphite reinforcement in aluminum metal
matrix composite (AMMC) are selected as a process variable to study the process
responses in terms of tool wear rate (TWR) and radial overcut (ROC). The design
of the experiment has been performed through the Taguchi analysis and linear
regression mathematical model to develop the mathematical relation between
process and response parameter. Validation of experimentation work has been done
through the Analysis of Variance (ANOVA). Experimentation results show the role
of important process parameters that affect mostly TWR and ROC and imply the
combined level of input parameters that optimize the process responses.
Citation: Rizwee, M., Rao, P., and Ahmad, M., "Parametric Optimization of Electro Discharge Process during Machining of Aluminum/Boron Carbide/Graphite Composite," SAE Int. J. Mater. Manf. 15(1):81-89, 2022, https://doi.org/10.4271/05-15-01-0007. Download Citation
Author(s):
Mumtaz Rizwee, P. Sudhakar Rao, Md Fuzail Ahmad
Affiliated:
National Institute of Technical Teachers’ Training and Research
Chandigarh, Mechanical Engineering, India, NITTTR Chandigarh, India
Pages: 10
ISSN:
1946-3979
e-ISSN:
1946-3987
Related Topics:
Materials properties
Machining processes
Nanomaterials
Aluminum
Graphite
Mathematical models
Composite materials
Metals
Optimization
Wear
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