Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
The machining of high-value products needs advanced quality control to avoid the risk of expensive follow-up operations performed on parts with unacceptable quality. This situation requires the in-process or close to in-process control of the machining operation. The tangential cutting force is a parameter that characterizes the force interaction between the specific workpiece material and the specific tool geometry. This paper presents a method for a tangential cutting force calculation along the given tool path based on processing of the high-frequency data acquired from the machine tool control system with support of the geometric material removal model. The calculated data are compared with the reference dynamometer results. The influence of the variable engagement parameters is demonstrated and discussed from the perspective of the in-process workpiece quality control.
Details
| Original language | English |
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| Pages (from-to) | 537-542 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 118 |
| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Conference
| Title | 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering |
|---|---|
| Abbreviated title | CIRP ICME 2022 |
| Conference number | 16 |
| Duration | 13 - 15 July 2022 |
| Location | Online |
| City | Naples |
| Country | Italy |
Keywords
ASJC Scopus subject areas
Keywords
- cutting force model, edge computing, In-process monitoring, leakage model, spindle current