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Indian Journal of Engineering and Materials Sciences (IJEMS) >
IJEMS Vol.11 [2004] >
IJEMS Vol.11(3) [June 2004] >
| Title: | Machinability study on FRP composites – A neural network analysis |
| Authors: | Budan, D Abdul |
| Issue Date: | Jun-2004 |
| Publisher: | CSIR |
| IPC Code: | Int. Cl.7 G 06 N 3/02 |
| Abstract: | Cutting force is one among the
basic factors, which measures the machinability of any material. The
determination of cutting forces by experimental means is more common as there
is no general mathematical model is available to predict the cutting forces
developed as a function of machining and material parameter. However conducting
experiment to measure these forces every time is highly expensive and
time-consuming. In some cases particularly in machining composites, availability
of specimens with the required specifications is extremely difficult. In this
work, a multi-layer perception feed forward neural network is constructed to
evaluate and compare the cutting forces developed during the machining of
glass/epoxy, graphite/epoxy and kevlar/epoxy composites. The fibre orientation,
volume fraction and depth of cut were chosen as input parameters for this
purpose. The cutting force values evaluated by finite element analysis have
been used for training the network. The neural network outputs are compared
with the desired output values. Maximum error reduction is possible. Further,
the comparison of the neural network output results with the results obtained
from experiments and empirical relationship has shown good agreement. Results
revealed that kevlar/epoxy has shown good machinable characteristic. |
| Page(s): | 193-200 |
| ISSN: | 0975-1017 (Online); 0971-4588 (Print) |
| Source: | IJEMS Vol.11(3) [June 2004]
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