Fuzzy logic based selection of machining parameters
Hashmi, Kashmeri (1997) Fuzzy logic based selection of machining parameters. Master of Science thesis, Dublin City University.
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Selecting cutting parameters for machining is a complex problem. A fuzzy logic based approach to setting these parameters is developed and implemented. The materials data used were for medium carbon leaded steel (BHN 125.-425) and freemachming carbon wrought steel (BHN 225-425). Three different depths of cut (1mm, 4mm and 8mm) and four types o f tools were used for the study, i) High Speed Steel Tool, 11) Carbide Tool-Coated, 111) Carbide Tool-Uncoated Brazed and iv ) Carbide Tool-Uncoated indexable.
The data used to evaluate the fuzzy model were taken from the Machinability Hand Book  which contams the most appropriate values and ranges used for different types of materials in the industrial environment.
Two fuzzy models were developed for carrying out these calculations. In fuzzy model- 1, the fuzzy metric arcs are overlapped at 50% and in fuzzy model- 2, the fuzzymetnc arcs are overlapped at 33%.
Computer software was developed to implement the model and to predict the cutting conditions for the two materials mentioned above. The results based on the initial models were improved by tuning the models further. The results were then in excellent agreement with the machinability hand book. The programme as it stands is applicable for Medium carbon leaded steel and Freemachimng carbon wrought steel only. However, it could be extended to incorporate different work materials and tool combinations once appropriate data is available.
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