TY - JOUR

T1 - Multiscale measurement of air foils with data fusion of three optical inspection systems

AU - Schlobohm, Jochen

AU - Li, Yinan

AU - Pösch, Andreas

AU - Kästner, Markus

AU - Reithmeier, Eduard

N1 - Funding information: We would like to thank the German Research Foundation (DFG) for funding this project within the Collaborate Research Center (SFB) 871 “regeneration of complex capital goods” (http://www.sfb871.de).

PY - 2016/9/14

Y1 - 2016/9/14

N2 - Measuring the geometry of machine parts with complex geometries creates new challenges towards measurement systems. Due to cost, fast inspection is nevertheless desirable. Additionally the characterization of a parts health and functionality requires geometric information in different scales. We have developed a set of optical measurement systems which together meet those requirements: A borescopic fringe projection system, a macroscopic fringe projection system using newly developed algorithms for fast inspection of turbine blades and a low coherence Michelson interferometer (LCI). The first can detect geometric variances in hard to reach areas, e.g. inside machines or in between parts with highly complex geometries like blade integrated discs (blisks). Using fully adaptable fringe patters, the second system can locate geometric variances with a single fringe pattern. These patterns lead to high sensitivity and high measurement speed. Afterwards the LCI further inspects the micro structure of defects and characterizes the surface structure of the air foil. The presented algorithms provide fast 3D reconstruction with a nanometer resolution and, compared to other systems, a large measurement range. Together, these three inspection systems are capable to detect and quantify defects or geometric variances of industrial parts in different scales. This information improves the prediction of the reliability of a part and helps extending its lifetime to reduce the maintenance costs of machines. As an example a turbine blade was measured with all three systems and the results are visualized in one dataset. Means to merge the measurements are discussed.

AB - Measuring the geometry of machine parts with complex geometries creates new challenges towards measurement systems. Due to cost, fast inspection is nevertheless desirable. Additionally the characterization of a parts health and functionality requires geometric information in different scales. We have developed a set of optical measurement systems which together meet those requirements: A borescopic fringe projection system, a macroscopic fringe projection system using newly developed algorithms for fast inspection of turbine blades and a low coherence Michelson interferometer (LCI). The first can detect geometric variances in hard to reach areas, e.g. inside machines or in between parts with highly complex geometries like blade integrated discs (blisks). Using fully adaptable fringe patters, the second system can locate geometric variances with a single fringe pattern. These patterns lead to high sensitivity and high measurement speed. Afterwards the LCI further inspects the micro structure of defects and characterizes the surface structure of the air foil. The presented algorithms provide fast 3D reconstruction with a nanometer resolution and, compared to other systems, a large measurement range. Together, these three inspection systems are capable to detect and quantify defects or geometric variances of industrial parts in different scales. This information improves the prediction of the reliability of a part and helps extending its lifetime to reduce the maintenance costs of machines. As an example a turbine blade was measured with all three systems and the results are visualized in one dataset. Means to merge the measurements are discussed.

KW - Blisk

KW - Borescope

KW - Fringe projection

KW - Inline measurement

KW - Michelson interferometer

KW - Multiscale

KW - Turbine blade

UR - http://www.scopus.com/inward/record.url?scp=84994910585&partnerID=8YFLogxK

U2 - 10.1016/j.cirpj.2016.07.006

DO - 10.1016/j.cirpj.2016.07.006

M3 - Article

AN - SCOPUS:84994910585

VL - 17

SP - 32

EP - 41

JO - CIRP Journal of Manufacturing Science and Technology

JF - CIRP Journal of Manufacturing Science and Technology

SN - 1755-5817

ER -