Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 235-243 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jul 1993 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Cutting parameter optimisation
- Machining operations
- Metal cutting
- Neural networks
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