研究目的
To propose a predictive model of the machined surface topography in the AAJP process of quartz glass considering the stochastic abrasive size, elastic springback, and plastic deformation, and to validate it through experiments.
研究成果
The proposed predictive model accurately describes the AAJP process, with experimental validation showing relative errors less than 15%. Key findings include the effectiveness of small-sized abrasives and low jet pressure for smoother surfaces, and the necessity of considering stochastic abrasive sizes and elastic springback. The model provides a foundation for further study and industrial application in parameter optimization and surface quality prediction.
研究不足
The model assumes spherical abrasive shapes and ignores relative movement between nozzle and workpiece due to low velocity. Computational efforts may be high for large numbers of abrasives. Experimental validation is limited to specific parameters and materials.
1:Experimental Design and Method Selection:
The study involves developing a predictive model based on Kinetic energy theorem, Hertz contact theory, and Thornton's elastic collision mechanics model, followed by experimental validation. The model considers stochastic abrasive sizes and elastic springback.
2:Sample Selection and Data Sources:
Quartz glass workpieces (50x25x5 mm) and Al2O3 abrasives with sizes 10, 20, 30 μm are used. Data is collected from AAJP experiments under varying parameters.
3:List of Experimental Equipment and Materials:
Equipment includes an AAJP system with nozzle, adjustable angle fixture, vertical and horizontal moving slides, jig, supporting block, and a 3D laser confocal microscope (LEXT OLS4100, OLYMPUS). Materials include quartz glass and Al2O3 abrasives.
4:Experimental Procedures and Operational Workflow:
AAJP trials are conducted with parameters such as nozzle inner diameter 1 mm, jet pressures 0.2, 0.3, 0.4 MPa, jet angle 60°, stand-off distance 10 mm, traverse rate 2 mm/s. Post-polishing, workpieces are etched with hydrofluoric acid, ultrasonically bathed, dried, and surface roughness is measured.
5:2, 3, 4 MPa, jet angle 60°, stand-off distance 10 mm, traverse rate 2 mm/s. Post-polishing, workpieces are etched with hydrofluoric acid, ultrasonically bathed, dried, and surface roughness is measured.
Data Analysis Methods:
5. Data Analysis Methods: Surface roughness parameters (Ra, Rq, Rz) are measured using the confocal microscope, with evaluation length 4 mm and sampling length 0.256 mm. Data is analyzed for comparison between experimental and theoretical results.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容