Abstract
The requirement for Mass production of Microlens array (MLA) mold is increasing. MLA molds are manufactured by 5-axis ultra-precision machining center using an ultra-small diameter end mill. Since visual examination is not good at judging quality of product while machining, the development of effective process monitoring technology is required. The ultra-precision machining center used in this study employs a linear motor and has low sliding resistance while machining. Therefore, machining information is directly reflected in servo information. Focusing on this point, we developed a machine learning-based shape error estimation model using servomotor current alone and discussed its usefulness.
Original language | English |
---|---|
Pages | 594-596 |
Number of pages | 3 |
Publication status | Published - 2021 |
Event | 10th International Conference on Leading Edge Manufacturing Technologies in 21st Century, LEM 2021 - Virtual, Online Duration: 2021 Nov 14 → 2021 Nov 18 |
Conference
Conference | 10th International Conference on Leading Edge Manufacturing Technologies in 21st Century, LEM 2021 |
---|---|
City | Virtual, Online |
Period | 21/11/14 → 21/11/18 |
Keywords
- Machine learning
- Micro lens array
- Sensorless
- Servo motor current
- Shape error estimation
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Electronic, Optical and Magnetic Materials