![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
ABSTRACT
Currently, research on the optimization of key process parameters in the polishing process usually uses orthogonal test method, which needs a lot of experiments. In order to solve this problem, this paper proposes a parameters optimization of magnetic composite fluid polishing process based on response surface method. Firstly, roughness of the polycarbonate microfluidic chip surface polished with magnetic composite fluid was used as the optimization object, while the machining gap, spindle speed and machining time were defined as the key parameters, and experiments were designed and conducted based on response surface method. Subsequently, using the above experimental data, a prediction model for microfluidic chip surface roughness after polishing that depends on key parameters is established. After that, by the application of the prediction model, the key parameters were optimized and verified by experiments. The results indicated that by using the optimized process parameters, the minimum surface roughness of the microfluidic chip reduced from 0.5 μm to 0.0384 μm, while the maximum and minimum errors between measured and predicted results are 0.0052 μm and 0.0007 μm, respectively. The above result has proved the accuracy of the established model and the effectiveness of the proposed parameters optimization method.
Acknowledgments
We appreciate the invaluable expert comments and advices on the manuscript from all anonymous reviewers. This work was financially supported by the National Natural Science Foundation of China (Grant No. 52075462), the Science and technology project of Shenzhen (Grant No. JCYJ20180306172924636), and Beijing Natural Science Foundation (Grant No. 3194043).
Disclosure statement
No potential conflict of interest was reported by the author(s).