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Micro-Crack Analysis from Ultra-Precision Diamond Turning of IR Optic Material
정병준(Byeongjoon Jeong),김건희(Geon-Hee Kim),명태식(Tae Sik Myung),정의식(Eui-Sik Chung),최환진(Hwan-Jin Choi),여인주(In Ju Yeo),전민우(Minwoo Jeon) Korean Society for Precision Engineering 2016 한국정밀공학회지 Vol.33 No.11
Infrared (IR) optic lens can be fabricated by a single point diamond turning (SPDT) machine without subsequent polishing process. However, this machining process often leaves microcracks that deteriorate the surface quality. In this work, we propose an experimental design to remove micro-cracks on IR lens. The proposed design gathered data between cutting process condition and Rt surface roughness. This is of great importance because the scale of microcracks is a few micrometer. Rt surface roughness is suitable for analyzing maximum peak height signals of the profile. The experimental results indicate that feed per revolution variable is one of the most dominant variable, affecting the generation micro-cracks on IR lens surfaces.
지태근(Tae-Geun Ji),박우진(Woojin Park),박수종(Soojong Pak),정병준(Byeongjoon Jeong),김상혁(Sanghyuk Kim),이혜인(Hye-In Lee),이선우(Sunwoo Lee),현상원(Sangwon Hyun),김건희(Geon-Hee Kim),김대욱(Dae Wook Kim) Korean Society for Precision Engineering 2021 한국정밀공학회지 Vol.38 No.5
We present Error Compensation Software (ECS) which uses a decic polynomial model and three-dimensional surface measurement data for the fabrication of high precision freeform mirrors. ECS is designed based on a graphic user interface that includes an error calculation mechanism and surface distribution maps, and it accepts the Ultrahigh Accurate 3D Profilometer (UA3P) measurement data of the fabricated mirror surface. It exports surface coefficients and tool paths for the Single Point Diamond Turning (SPDT) machine which allows engineers to utilize the software during the compensation process. The ECS is based on Visual C++ and runs on the Windows operating system. The error compensation process with ECS has been applied to the 90 mm diameter aluminum freeform mirrors for usage in view infrared satellites, and the root mean square and peak-to-valley surface errors were reduced from 1.52 to 0.11 μm, and from 7.05 to 1.99 μm, respectively, satisfying the requirement of the infrared camera.