Abstract
Tool life is an important factor to be considered during the optimisation of a machining process since cutting parameters can be adjusted to optimise tool changing, reducing cost and time of production. Also the performance of a tool is directly linked to the generated surface roughness and this is important in cases where there are strict surface quality requirements. The prediction of tool life and the resulting surface roughness in milling operations has attracted considerable research efforts. The research reported herein is focused on defining the influence of milling cutting parameters such as cutting speed, feed rate and axial depth of cut, on three major tool performance parameters namely, tool life, material removal and surface roughness. The research is seeking to define methods that will allow the selection of optimal parameters for best tool performance when face milling 416 stainless steel bars. For this study the Taguchi method was applied in a special design of an orthogonal array that allows studying the entire parameter space with only a number of experiments representing savings in cost and time of experiments. The findings were that the cutting speed has the most influence on tool life and surface roughness and very limited influence on material removal. By last tool life can be judged either from tool life or volume of material removal.
| Original language | English |
|---|---|
| Pages (from-to) | 248-256 |
| Number of pages | 9 |
| Journal | International Journal of Computer Integrated Manufacturing |
| Volume | 23 |
| Issue number | 3 |
| Early online date | 19 Feb 2010 |
| DOIs | |
| Publication status | Published - 2010 |
Keywords
- material removal
- milling
- surface roughness
- tool life
- tool wear
Fingerprint
Dive into the research topics of 'Integrated optimisation of surface roughness and tool performance when face milling 416 SS'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver