Abstract
In this paper, a new genetic algorithms-based method is applied for the optimization of cutting conditions and selection of cutting tools in multi-pass turning operations. A comprehensive optimization criterion for multi-pass turning operations is developed and used as the objective function integrating the contributing effects of all major machining performance measures in all passes. A new methodology for the allocation of total depth of cut in multi-pass turning operations is also developed. The effect of progressive tool-wear in optimization processes for multi-pass turning operations is included in the current work. Presented case studies demonstrate the application of the new methodology for optimal allocation of total depth of cut as well as optimization of cutting conditions and the selection of cutting tool inserts, and offer a comparison between optimization processes with and without the effect of tool-wear in all passes.
| Original language | English |
|---|---|
| Pages | 3093-3100 |
| Number of pages | 8 |
| State | Published - 2001 |
| Event | Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada Duration: Jul 25 2001 → Jul 28 2001 |
Conference
| Conference | Joint 9th IFSA World Congress and 20th NAFIPS International Conference |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 7/25/01 → 7/28/01 |
ASJC Scopus subject areas
- General Computer Science
- General Mathematics