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Gold Science and Technology ›› 2021, Vol. 29 ›› Issue (1): 120-128.doi: 10.11872/j.issn.1005-2518.2021.01.076

• Mining Technology and Mine Management • Previous Articles     Next Articles

Development of a Grinding-Classification Process Auto-design System Based on Virtual Reality Technology

Gaohua ZHENG(),Yuqi WANG,Yuhua WANG(),Dongfang LU,Xiayu ZHENG   

  1. School of Minerals Processing and Bioengineering，Central South University，Changsha 410083，Hunan，China
  • Received:2020-04-17 Revised:2020-07-02 Online:2021-02-28 Published:2021-03-22
  • Contact: Yuhua WANG E-mail:easynzh@163.com;wangyh@csu.edu.cn

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Abstract:

To discuss the feasibility of the application of virtual reality technology in mineral processing design，and to solve the problems of long design cycle，low design efficiency and boring design process，which still exist in traditional mineral processing design，a desktop auto-design system of the grinding-classification process was developed in combination with the rapidly rising virtual reality technology.The development of this system takes virtual reality technology platform Unreal Engine 4 as the carrier，and relies on its Blueprint system and Unreal Motion Graphics UI Designer editor to build the whole process.In the process of development，focusing on the empirical formulas，empirical data，equipment selection parameters and equipment selection methods in the traditional grinding and classification process design，the blueprint programming language was used to transform them into a computer-based independent design method.The empirical formulas with complex structure，variable parameters and repeated use are converted into Blueprint system function or macro，the corresponding data of the table are stored as Blueprint array，the value range data are fitted into interpolation function，power function and other mathematical models，and then all of them are stored in the Event Chart of the Blueprint system.Simulation designer in the traditional design methods，using Blueprint design language to write algorithm procedures.After programming and testing，the system is compiled and packaged with Visual Studio 2019，and the Unreal Editor is used to release the Windows version for users to use.According to the original ore data and ore-dressing indexes input by the user，the system recommends the appropriate grinding process，and then，according to the recommended grinding classification process，carries out the calculation of ore volume and pulp indexes，grinding and grading equipment selection calculation，auxiliary equipment selection calculation，etc.，and finally forms a reasonable grinding classification process design scheme.In the process of system design，users can also reasonably change the conditions in the process according to the design requirements.The development of this system has proved that the application of virtual reality technology in mineral processing design is feasible.It has created conditions for the following development of the grinding workshop configuration design system based on virtual reality technology，and also provided useful reference for virtual reality technology to integrate into the mineral processing field.

Key words: mineral processing design, grinding-classification process, visual reality technology, system development, Unreal Engine

CLC Number: 

  • TP391.9

Fig.1

Framework of independent design system of grinding-classification process"

Fig.2

Functional structure of independent design system of grinding-classification process"

Fig.3

Calculation function “SET_D_FG” of high-weir spiral classifier"

Fig.4

Function calling of “SET_D_FG”"

Table 1

Construction of diameter correction coefficient K2 and K2 array setting of ball mill"

构建数组现厂生产磨机直径D′/mm设计磨机直径D/mm
9001 2001 5002 1002 7003 2003 6004 0004 500
a09001.001.191.341.661.852.072.102.262.41
a11 2000.841.001.141.401.631.741.761.912.04
a21 5000.740.871.001.221.451.521.551.691.80
a32 1000.600.710.811.001.171.251.301.411.49
a42 7000.510.610.700.851.001.091.171.231.30
a53 2000.470.570.640.800.921.001.071.121.19
a63 6000.460.550.620.760.860.941.001.061.12
a74 0000.440.520.590.710.810.890.951.001.06
a84 5000.420.490.560.670.770.840.890.931.00

Table 2

Value of particle size correction coefficient K2 and K2′ of spiral classifier"

分级溢流粒度/mmK2K2′

1.17

0.83

0.59

0.42

0.30

0.20

0.15

0.10

0.074

0.061

0.053

0.044

2.50

2.37

2.19

1.96

1.70

1.41

1.00

0.67

0.46

3.00

2.30

1.61

1.00

0.72

0.55

0.36

Fig.5

Particle size correction coefficient curves of spiral classifier"

Fig.6

Algorithm flow of ball mill selection for one stage closed-circuit grinding process"

Fig.7

Algorithm flow of ball mill selection for two stages closed-circuit grinding process"

Fig.8

Programming calculation process of β1"

Table 3

Relationship between -0.074 mm(%) content and feeding particle size in mill"

给矿粒度/mm-0.074 mm含量占比/%
难碎性矿石中等可碎性矿石易碎性矿石
40235
20568
1081015
5101520
3152325

Fig.9

Three mathematical models of β1"

Fig.10

Test results of calculation for grinding-classification process"

Fig.11

Test results of equipment selection for grinding-classification process"

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