Abstract
Purpose - Objectives of this paper are: • to investigate influence of surface topology on the performance of laser line scanning probe • to suggest methodology for 3D digitization of specular surfaces Design/methodology/approach - Two different molds, one having milled surface and other with polished surface were employed to identify effect of surface characteristics on performance of laser line scanning probe mounted on bridge type coordinate measuring machine (CMM). The point cloud data acquisition of two surfaces was carried out using different combinations of laser scanning parameters. The point cloud sets thus obtained were analyzed in terms of completeness, noise and accuracy. The polished mold which exhibited specular reflection was digitized at different scanning angles of laser line scanning probe using best combination of scanning parameters. Findings - Results confirmed that surface characteristics play important role to determine quality of Reverse Engineering (RE) process. The results in terms of completeness, accuracy and noise for point cloud sets have successfully been obtained for milled and polished surfaces. 3D comparison analysis suggested larger deviation in cases of polished surface as compared to milled surface. The point cloud set acquired with proposed approach was better in terms of both completeness and noise reduction. Originality/value - There has been an increased demand for measurement of metallic, polished and shiny surfaces in automotive, aerospace and medical industries. These surfaces are very difficult to scan because they exhibit specular reflection instead of diffuse reflection. Laser line scanning probe which is a non-contact method is in great demand for RE. This is due to the fact that it possesses very high data acquisition speed. However, laser scanning is hugely affected by surface characteristics which in turn govern specular reflection. In this paper it has been shown that a surface that exhibit various degrees of specular reflection can be digitized efficiently if appropriate combination of scanning parameters and positions of laser line scanning probe are employed. Also, this paper has attempted to offer procedure to overcome incompleteness and noise in 3D data as obtained by laser line scanning probe.
Purpose - Objectives of this paper are: • to investigate influence of surface topology on the performance of laser line scanning probe • to suggest methodology for 3D digitization of specular surfaces Design/methodology/approach - Two different molds, one having milled surface and other with polished surface were employed to identify effect of surface characteristics on performance of laser line scanning probe mounted on bridge type coordinate measuring machine (CMM). The point cloud data acquisition of two surfaces was carried out using different combinations of laser scanning parameters. The point cloud sets thus obtained were analyzed in terms of completeness, noise and accuracy. The polished mold which exhibited specular reflection was digitized at different scanning angles of laser line scanning probe using best combination of scanning parameters. Findings - Results confirmed that surface characteristics play important role to determine quality of Reverse Engineering (RE) process. The results in terms of completeness, accuracy and noise for point cloud sets have successfully been obtained for milled and polished surfaces. 3D comparison analysis suggested larger deviation in cases of polished surface as compared to milled surface. The point cloud set acquired with proposed approach was better in terms of both completeness and noise reduction. Originality/value - There has been an increased demand for measurement of metallic, polished and shiny surfaces in automotive, aerospace and medical industries. These surfaces are very difficult to scan because they exhibit specular reflection instead of diffuse reflection. Laser line scanning probe which is a non-contact method is in great demand for RE. This is due to the fact that it possesses very high data acquisition speed. However, laser scanning is hugely affected by surface characteristics which in turn govern specular reflection. In this paper it has been shown that a surface that exhibit various degrees of specular reflection can be digitized efficiently if appropriate combination of scanning parameters and positions of laser line scanning probe are employed. Also, this paper has attempted to offer procedure to overcome incompleteness and noise in 3D data as obtained by laser line scanning probe.