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Machine tool analyzer: a device for identifying 13 position-independent geometric errors for five-axis machine tools
- Source :
- The International Journal of Advanced Manufacturing Technology.
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- We introduce a prototype “machine tool analyzer” (MTA), consisting of a nest of five displacement sensors and a dual-ball system with two centering structures, designed to identify 13 position-independent geometric errors (PIGEs) in five-axis machine tools. The 13 PIGEs include three squareness errors in the three linear axes, two squareness errors and two offset errors in the rotary/tilting axis, and two squareness errors in the spindle axis. The MTA completes four circular paths, during which an identification algorithm identifies thirteen possible PIGEs and set-up errors. The MTA was applied to a commercial five-axis machine tool with a swivel head/rotary table and verified experimentally. Cost-effective measurements were achieved using a single set-up of the nest and associated system. In addition, a circular test using a double ball-bar was used to test the volumetric accuracy of the five-axis machine tool and verify the identified PIGEs. The maximum deviation, minimum deviation, and PV values in the circular test were 109, 55, and 55 μm, respectively, without compensation for errors imparted by the PIGEs, and 38, 5, and 33 μm, respectively, with compensation. This demonstrated the validity of the proposed method.
- Subjects :
- 0209 industrial biotechnology
Spectrum analyzer
business.product_category
Offset (computer science)
Computer science
Mechanical Engineering
Maximum deviation
02 engineering and technology
Industrial and Manufacturing Engineering
Displacement (vector)
Computer Science Applications
Machine tool
Compensation (engineering)
020901 industrial engineering & automation
Control and Systems Engineering
Position (vector)
Minimum deviation
business
Algorithm
Software
Subjects
Details
- ISSN :
- 14333015 and 02683768
- Database :
- OpenAIRE
- Journal :
- The International Journal of Advanced Manufacturing Technology
- Accession number :
- edsair.doi...........f937fe222add126a362fa9c93f868b81
- Full Text :
- https://doi.org/10.1007/s00170-021-07341-7