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2 results on '"Zhengya Zhang"'

1. Optimization of Grinding Parameters for the Workpiece Surface and Material Removal Rate in the Belt Grinding Process for Polishing and Deburring of 45 Steel

Author

Fengping Li, Yao Xue, Zhengya Zhang, Wenlei Song, and Jiawei Xiang

Subjects
Abrasive belt grinding, Surface roughness, MRR, 45 steel, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Surface roughness and the material removal rate (MRR) are two important indicators during the grinding process. The former determines the surface quality while the latter reflects the grinding efficiency directly. In this paper, the two indicators are taken into consideration simultaneously and differently by converting them into a comprehensive goal with using weighting objective method. A prediction model was established for each comprehensive goal with each different combination of surface roughness and MRR weighting coefficient. The optimal value of abrasive size, contact force, belt linear speed, and feed speed were obtained under different grinding situations by using a central composite design (CCD) combined with response surface analysis. The experimental results showed that the comprehensive goal can be used effectively as an indicator to control the grinding performance and improve the optimization process.

Published
2020
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2. Optimization of Grinding Parameters for the Workpiece Surface and Material Removal Rate in the Belt Grinding Process for Polishing and Deburring of 45 Steel

Author

Zhengya Zhang, Jiawei Xiang, Fengping Li, Wenlei Song, and Yao Xue

Subjects
MRR, Belt grinding, 0209 industrial biotechnology, Materials science, Central composite design, Polishing, Mechanical engineering, 02 engineering and technology, 45 steel, lcsh:Technology, Contact force, lcsh:Chemistry, Surface roughness, 020901 industrial engineering & automation, 0203 mechanical engineering, General Materials Science, lcsh:QH301-705.5, Instrumentation, Fluid Flow and Transfer Processes, lcsh:T, Process Chemistry and Technology, Abrasive, General Engineering, Abrasive belt grinding, lcsh:QC1-999, Computer Science Applications, Grinding, Weighting, 020303 mechanical engineering & transports, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics
Abstract

Surface roughness and the material removal rate (MRR) are two important indicators during the grinding process. The former determines the surface quality while the latter reflects the grinding efficiency directly. In this paper, the two indicators are taken into consideration simultaneously and differently by converting them into a comprehensive goal with using weighting objective method. A prediction model was established for each comprehensive goal with each different combination of surface roughness and MRR weighting coefficient. The optimal value of abrasive size, contact force, belt linear speed, and feed speed were obtained under different grinding situations by using a central composite design (CCD) combined with response surface analysis. The experimental results showed that the comprehensive goal can be used effectively as an indicator to control the grinding performance and improve the optimization process.

Published
2020
Full Text
View/download PDF

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