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PBF 적층제조용 금속 분말의 유변학적 특성 분석 방법 및 평가
우완식,이호진 한국기계가공학회 2023 한국기계가공학회지 Vol.22 No.10
The powders used in additive manufacturing (AM) are important factors in the quality of the final manufacturedpart, where reliable flowability is critical. Predicting and measuring the flow of powder is very complex because ofthe large number of variables involved. Powder flow is influenced by the physical properties of the powder, such asthe particle size, distribution, and shape, as well as the environment and conditions applied during AM. Becauseflow is not a fundamental material property, there is no measurement device or test that can fully understand thepowder flow behavior. In this study, a method for analyzing the rheological characteristics of metal powders ispresented, and each analysis item is considered by measuring the physical, chemical, and flow characteristics of threetypes of STS630 (17-4PH stainless steel) metal powders for PBF.
A Study on the Optimum Machining Conditions and Energy Efficiency of a Laser-Assisted Fillet Milling
우완식,이춘만 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.5 No.5
Laser-assisted machining (LAM) is known to be an effective and economical technique for improving the machinability of difficult-to-machine materials. In the LAM method, material is preheated using a laser heat source and then the preheated area is removed by following cutting tool. For laser-assisted turning (LAT), the configuration of the system is not complicated because laser irradiates from a fixed position. In contrast, laser-assisted milling (LAMill) system is not only complicated but also difficult to control because laser heat source must always move ahead of the cutting tool along a three dimensional (3D) tool path. LAMill is still early stage and cannot yet be used to machine finished products with 3D shapes. In this study, a laser-assisted fillet milling process was developed for machining 3D shapes. There are no prior studies combining fillet milling and LAMill. Laser-assisted fillet milling strategy was proposed, and effective depth of cut (EDOC) was obtained using thermal analysis. Experiments were designed using response surface method and cutting force prediction equations were developed using statistical analysis and regression analysis. The optimum machining conditions were also proposed, and energy efficiency of the LAMill was analyzed by comparing the specific cutting energy of conventional machining (CM) and LAMill.