Robust and accurate prediction of thermal error of machining centers under operations with cutting fluid supply
| Autor: | Hisashi Kobayashi, Shigeo Morimoto, Yuya Marukawa, Toru Kizaki, Shinji Tsujimura |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
business.product_category Computer science Mechanical Engineering Thermal deformation Phase (waves) Mechanical engineering 02 engineering and technology Transient temperature Thermal conduction Industrial and Manufacturing Engineering Machine tool 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Machining Thermal Cutting fluid business |
| Zdroj: | CIRP Annals. 70:325-328 |
| ISSN: | 0007-8506 |
| DOI: | 10.1016/j.cirp.2021.04.074 |
| Popis: | A novel temperature measuring system named LATSIS was proposed to realize a robust and accurate prediction of the thermal deformation of machining centers, even under external disturbances such as cutting fluid supply. LATSIS enables a drastic increase in the number of sensors employed for measuring the temperature of the machine tool. Thus, the entire temperature distribution can be obtained by interpolating the measured temperature 3-dimensionally without calculating the heat conduction. A set of experiments was conducted in which the LATSIS was employed to predict the TCP error. A total of 284 sensors were placed on the machining center, and the TCP error was predicted based on the measured temperature for the situation with/without the cutting fluid supply. The results of the prediction showed good agreement with the measured TCP error even during the initial transient temperature change as well as in the cooling phase after the machine halt. The TCP error with the cutting fluid supply is accurately predicted. LATSIS was proven to be a robust and accurate method for predicting the thermal deformation of machine tools, and is a promising technology for future manufacturing systems. |
| Databáze: | OpenAIRE |
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