Metal cutting plays an important role in manufacturing industries. Optimisation of cutting parameters represents a key component in machining process planning. In this paper, a neural network based approach to multiple-objective optimization of cutting parameters is presented. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers' preference structures. To demonstrate the procedure and performance of the neural network approach, an illustrative example is discussed in detail.
|Number of pages||9|
|Journal||The International Journal of Advanced Manufacturing Technology|
|Publication status||Published - Jul 1993|
- Cutting parameter optimisation
- Machining operations
- Metal cutting
- Neural networks