Analysis And Study On Automatic Testing For Luminescent Material Combination Synthesis

Since twenty-first century,countries in the world have increased the research and development of new materials and advanced materials. The advanced materials research and development process has become a new concept since President Obama made the material genome project in June 24 th,2011. Aiming to accelerate process from materials discovery, development, manufacturing, and development process and cut the cost at the same time by intergrating computational materials design, high-throughput experimentation, and data management. In this thesis, the experimental tool platform is used to transform the fluorescence spectrometer used for the testing of luminescent materials. Utilizing the combined material chip technology, instrument after the transformation can be used to synthesize binary and ternary samples, so that the performance of the samples can be tested automaticly and rapidly. At last, the experimental efficiency is greatly improved by the computer processing of the data of the output material, their compositions,structures,and properties are rapidly characterized.In this thesis, the automatic test and analysis system of the composite sample library of luminous material is introduced from two aspects. In the first part, the paper introduces the automatic control of the performance of the light emitting material. By controlling the stepper motor driven by a single chip computer to drive the movement of the X-Y two dimensional mobile platform,the system can test the sample and record the results of the test data effectively. The whole testing process is controlled by manual operation interface. Finally,samples in luminous material combination sample library can be automatically tested by the fluorescence spectrometer,which can shorten the experimental time and improve the efficiency of the experiment. In the second part, the paper introduces the image processing technique using MATLAB. The test results can be displayed directly by a visual processing of the measured experimental data. This technique solves the problem of the low efficiency when the component of the best luminous material is determined.Finally, the feasibility of the system is verified by four examples, The result of the optimization of the two-element-doped Y_1.995-x-yLa_xLu_yCe_0.005SiO₅ is that when x?0.04,y?0.18,and the material is Y_1.775La_0.04Lu_0.18Ce_0.005SiO₅, the luminous intensity of the sample is the highest. The optimized result of YAG:Tb after doping Bi and Sb is that the luminous intensity of the sample is the highest when x?0.015-0.04,y?0.1-0.2,and the material is Y_3?0.92-x-y?Bi_3xSb_3yTb_0.24Al₅O₁₂. The result of the optimization of the two-element-doped Sr_1-xEu_xMg_2?1-y?Mn_2yAl₁₄O₂₄is that when x?0.1,y?0.5, the luminous intensity of the sample is the highest. The Optimization result of Chloride is Ca:Ba:Sr?0.2⁰.4:0.6⁰.8:0.2⁰.4,the luminous intensity is the highest.