Abstract
Fast and accurate in-line areal surface topography measuring instruments are required to control the quality of microscale manufactured components, without significantly slowing down the production process. Full-field areal optical surface topography measurement instruments are promising for in-line or on-machine measurement applications due to their ability to measure quickly, to access small features and to avoid surface damage. This paper presents the development and integration of a compact optical focus variation sensor for on-machine surface topography measurement mounted on to a hybrid ultraprecision machine tool. The sensor development is described and a case study involving the on-machine dimensional measurement of the depth of hydrophobic microscale features, including microchannels and micro-dimples, is presented. Comparisons of results between the on-machine measurements obtained by the developed sensor and a desktop focus variation microscope are presented and discussed. The comparison results show that the developed focus variation sensor is able to perform on-machine dimensional measurement of microscale features within sub-micrometre accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 2353-2364 |
| Number of pages | 12 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume | 109 |
| Issue number | 9-12 |
| Early online date | 30 Jul 2020 |
| DOIs | |
| Publication status | Published - 1 Aug 2020 |
Funding
This research work was undertaken in the context of MICROMAN project (“Process Fingerprint for Zero-defect Net-shape MICROMANufacturing”, www.microman.mek.dtu.dk/ ). MICROMAN is a European Training Network supported by Horizon 2020, the EU Framework Programme for Research and Innovation (Project ID:674801), and by the H2020-MSCA-ITN-2016 project PAM2 (Precision Additive Metal Manufacturing), EU Framework Programme for Research and Innovation H2020 – Grant Agreement No 721383. This work was also supported by the Engineering and Physical Sciences Research Council [grant number EP/M008983/1].
Keywords
- focus variation
- motion stage
- on-machine measurement
- precision engineering
- surface texture
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