CN211216941U - Comprehensive operation state online detection device for ore mill - Google Patents

Comprehensive operation state online detection device for ore mill Download PDF

Info

Publication number
CN211216941U
CN211216941U CN201921125018.9U CN201921125018U CN211216941U CN 211216941 U CN211216941 U CN 211216941U CN 201921125018 U CN201921125018 U CN 201921125018U CN 211216941 U CN211216941 U CN 211216941U
Authority
CN
China
Prior art keywords
ore
control system
grinding
mill
microprocessor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201921125018.9U
Other languages
Chinese (zh)
Inventor
邹文杰
方子川
徐怀兵
张志军
孙春宝
郭晓嵩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Science and Technology Beijing USTB
Original Assignee
University of Science and Technology Beijing USTB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Science and Technology Beijing USTB filed Critical University of Science and Technology Beijing USTB
Priority to CN201921125018.9U priority Critical patent/CN211216941U/en
Application granted granted Critical
Publication of CN211216941U publication Critical patent/CN211216941U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The utility model provides an ore mill comprehensive operation state on-line measuring device belongs to mineral processing technology field. The device comprises a feeding belt conveyor, a water pipe, an electromagnetic valve, an ore grinding medium supplementing device, an intelligent material, an ore grinding medium, a frequency converter, an ore grinding sound detection device, a vibration monitor, a wireless base station, an expert control system and an upper computer; the grinding sound detection device is connected with the grinding sound detector and the analyzer through a shielded cable, grinding media, ores and intelligent materials are arranged in the ore grinding machine, a vibration monitor is installed on a main shaft of the ore grinding machine, the grinding sound detector is installed on an empty ground adjacent to the ore grinding machine, a wireless base station and a frequency converter are installed at a discharge port of the ore grinding machine, and an expert control system is connected with an upper computer. The system and the method can realize direct online detection and automatic control of the running state of the ore mill, are easy to realize, accurate, feasible and strong in practicability, can be used for automatic control of the ore mill, and realize energy conservation and consumption reduction.

Description

Comprehensive operation state online detection device for ore mill
Technical Field
The utility model relates to a mineral processing technology field especially indicates an ore mill comprehensive operation state on-line measuring device.
Background
At present, the information technology of China and the traditional mineral processing technology are continuously and deeply fused, the mineral processing process is taken as a typical flow industry, and the online detection and automatic control of the mineral processing process are realized, so that the significance for improving the working efficiency of a ball mill, reducing the damage of equipment, lowering the production cost and lightening the working intensity of workers is great; the ore mill is an ore milling device which is developed and widely applied all the time and is an important process link in the production flow of ore dressing. Three states often occur for internal loading of the mill: the load state of the ore mill is mainly determined by the rotating speed, the filling rate, the material-ball ratio, the medium size and the like, and the parameters have a certain coupling effect, so whether the internal load parameters (the filling rate, the material-ball ratio and the concentration) of the mill can be accurately predicted by direct or indirect means is the key for optimizing and controlling the success or failure of the whole mill. The existing detection method comprises the following steps: the method is characterized by comprising a vibration method, a useful power method, a vibration sound method and the like, wherein the sensitivity of a vibration method detection signal is higher, the change of materials in the ball mill can be displayed at any time, the method is not influenced by surrounding noise sources, but is easily influenced by small fluctuation such as voltage frequency change, grinding body loss or mill rotating speed, the useful power method is difficult to judge the reduction of the useful power according to the detected signal due to the overload state of the mill, the vibration sound method can predict the material ball ratio and the lining plate abrasion degree but is difficult to judge the medium filling rate and the ore pulp concentration, the intelligent material can judge the motion state of an ore grinding medium but is difficult to judge the material ball ratio and the ore pulp concentration, and factors influencing the ore grinding of the ore mill have diversity and the complexity of coupling among the factors. Therefore, the intelligent material-vibration sound method-vibration method is combined, the latest signal analysis technology is adopted to deeply mine data according to the obtained information, the potential information contained in the characteristic factors is explored to judge the comprehensive operation state of the ore mill, and finally the accurate and timely prediction of the load of the ore mill is realized. The utility model relates to an ore mill comprehensive operation state on-line measuring device and automatic control method for realize ore mill on-line measuring and automatic optimal control, have important guiding meaning to ore mill production control.
SUMMERY OF THE UTILITY MODEL
The utility model discloses weak point to ore mill on-line measuring technique provides an ore mill comprehensive operation state on-line measuring device, and the device and method easily realize, and accurate feasible, practicality are strong, can take notes ore mill comprehensive operation state, realize real-time on-line measuring and control ore mill comprehensive operation state.
The device comprises a feeding belt conveyor, a water pipe, a device for replenishing grinding media, a feeding port, an ore grinding machine, intelligent materials, a grinding sound detection device, a vibration monitor, a frequency converter, a wireless base station, a discharge port, an expert control system, an upper computer and an electromagnetic valve, wherein the grinding sound detection device comprises a grinding sound detector, a shielding cable and an analyzer, the vibration monitor comprises a second acceleration sensor, a second connecting wire and a second microprocessor, and the intelligent materials comprise a detachable shell, a fixed base, a first acceleration sensor, a first microprocessor and a first connecting wire; the feeding belt conveyor feeds ores into the ore mill through a feeding port, the ore mill is fed with ore milling media through a device for supplementing the ore milling media, a water pipe is controlled by an electromagnetic valve to add water into the ore mill, intelligent materials are added into the ore mill, a vibration monitor is installed on a main shaft of the ore mill, a grinding sound detector is installed on an empty ground adjacent to the ore mill, a wireless base station and a frequency converter are installed at a discharge port of the ore mill, data transmission is carried out between the wireless base station and an expert control system, and the expert control system is connected with an upper computer.
The grinding sound detection device is connected with the grinding sound detector and the analyzer through a shielded cable, the acceleration sensor II in the vibration monitor is connected with the microprocessor II through a connecting wire II, and the acceleration sensor I in the intelligent material is connected with the microprocessor I through a connecting wire I; the analyzer, the microprocessor II and the microprocessor I are wirelessly connected to an expert control system, and the expert control system is connected with an upper computer.
The fixed base, the acceleration sensor I, the microprocessor I and the connecting wire I are packaged in the detachable shell, and the fixed base can load a lead block to carry out counterweight, so that the density of an intelligent material is the same as that of an ore grinding medium or ore, and the real ore grinding medium or ore can be simulated.
The detachable shell is made of high-strength wear-resistant materials, and the shape of the detachable shell comprises a sphere, a rod, a short column and a short truncated cone.
The detachable shell is made of one of wear-resistant steel, wear-resistant cast iron, medium-high carbon alloy wear-resistant steel, hard alloy, hard nickel, ceramic and high-strength wear-resistant organic polymer.
The expert control system comprises a combined logic expert control system and a microprogrammed expert control system, the acceleration sensor II and the acceleration sensor I comprise a biaxial acceleration sensor and a triaxial acceleration sensor, the source of an intelligent material power supply comprises a lithium battery and a self-generating technology, and the types of the frequency converter comprise a direct frequency converter, an indirect frequency converter, a current type frequency converter and a voltage type frequency converter.
The method for automatically controlling by applying the online detection device specifically comprises the following steps: in the ore grinding process of the ore grinding machine, intelligent materials move along with ore grinding media and ores, an acceleration sensor I detects an acceleration signal of the intelligent materials, the acceleration signal is input into a microprocessor I through a connecting line I, the microprocessor carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the acceleration signal is transmitted to an expert control system and an upper computer through a wireless base station, the upper computer carries out stress analysis and is input into the expert control system, an acceleration sensor II arranged in a vibration monitor monitors a vibration signal of a main shaft and is input into the microprocessor II through a connecting line II, the microprocessor carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the acceleration signal is transmitted to the expert control system and the upper computer through the wireless base station, the upper computer carries out stress analysis and is input into the expert control system, and an ore grinding sound detector detects mechanical noise generated by mutual collision between a steel, the information is transmitted to the analyzer through a shielded cable, the information is transmitted to the expert control system after passing through the analyzer, the expert control system receives the information from the microprocessor II and the microprocessor I as well as the analyzer, calculates control signals according to the control system and outputs the control signals to the feeding belt conveyor, the electromagnetic valve, the ore grinding medium replenishing device and the frequency converter for control, and meanwhile, the expert control system is connected with an upper computer.
In the application process, the grinding sound detector detects mechanical noise generated by mutual collision between the steel ball and the cylinder, between the steel ball and between the steel ball and materials, the mechanical noise is transmitted to the analyzer through the shielded cable, information is transmitted to the expert control system after the information is transmitted to the analyzer, the expert control system receives the information of the intelligent materials, the vibration monitor and the grinding sound detector, calculates control signals according to the control system and outputs the control signals to the feeding belt conveyor, the electromagnetic valve, the device for replenishing grinding media and the frequency converter for control, and meanwhile, the expert control system is connected with an upper computer. And if the intelligent materials are damaged in the ore grinding process, adding a corresponding number of intelligent materials.
The utility model discloses an above-mentioned technical scheme's beneficial effect as follows:
in the scheme, the online detection of the comprehensive operation state of the ore mill can be realized, the automatic optimization control of the ore mill is realized, and the problems of insufficient manual judgment experience and large fluctuation of ore milling effect are solved; an acceleration sensor and a microprocessor are arranged in the intelligent material, the acquisition and data transmission of the motion state information of the intelligent material can be realized, the frequency spectrum analysis and the stress analysis are respectively carried out through an expert control system and an upper computer, an acceleration sensor arranged in a vibration monitor monitors the vibration signal of a main shaft, the vibration signal is input into the microprocessor through a connecting wire, the microprocessor carries out the frequency spectrum analysis on the acceleration signal and outputs the frequency spectrum information, the frequency spectrum information is transmitted to the expert control system and the upper computer through a wireless base station, the upper computer carries out the stress analysis and inputs the stress analysis into the expert control system, a grinding sound detector detects the mechanical noise generated by mutual collision between a steel ball and a cylinder body, between the steel ball and between the steel ball and the material, the mechanical noise is transmitted to the analyzer through a shielded cable, the information is transmitted to the expert control system after passing through the analyzer, the expert, The electromagnetic valve, the ore grinding medium replenishing device and the frequency converter are controlled to adjust the ore grinding machine to the optimal state. The system and the method can realize the online detection and automatic control of the comprehensive running state of the ore mill, are easy to realize, accurate, feasible and strong in practicability, can be used for the automatic control of the ore mill, and realize energy conservation and consumption reduction.
Drawings
Fig. 1 is the utility model discloses an ore mill comprehensive operation state on-line measuring device schematic diagram.
Wherein: 1-a feeding belt conveyor, 2-a water pipe, 3-a device for supplementing grinding media, 4-grinding media, 5-a feeding port, 6-an ore grinding machine, 7-ore, 8-intelligent materials, 9-a grinding sound detector, 10-a shielding cable, 11-an analyzer, 12-a vibration monitor and 13-a frequency converter, 14-wireless base station, 15-discharge port, 16-expert control system, 17-upper computer, 2/1-electromagnetic valve, 8/1-acceleration sensor I, 8/2-connecting line I, 8/3-detachable shell, 8/4-microprocessor I, 12/1-acceleration sensor II, 12/2-microprocessor II and 12/3-connecting line II.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
The utility model provides an ore mill comprehensive operation state on-line measuring device.
As shown in fig. 1, the device comprises a feeding belt conveyor 1, a water pipe 2, an ore grinding medium supplementing device 3, an ore grinding medium 4, a feeding port 5, an ore grinding machine 6, an intelligent material 8, an ore grinding sound detection device, a vibration monitor 12, a frequency converter 13, a wireless base station 14, a discharging port 15, an expert control system 16, an upper computer 17 and an electromagnetic valve 2/1, wherein the ore grinding sound detection device comprises an ore grinding sound detector 9, a shielding cable 10 and an analyzer 11, the vibration monitor comprises an acceleration sensor II 12/1, a connecting line II 12/3 and a microprocessor II 12/2, and the intelligent material comprises a detachable shell 8/3, a fixed base, an acceleration sensor I8/1, a microprocessor I8/4 and a connecting line I8/2; the feeding belt conveyor 1 feeds ores 7 into the ore mill 6 through a feeding port 5, ore grinding media 4 are fed into the ore mill 6 through an ore grinding media supplementing device 3, a solenoid valve 2/1 controls a water pipe 2 to feed water into the ore mill 6, intelligent materials 8 are fed into the ore mill 6, a vibration monitor 12 is installed on a main shaft of the ore mill 6, a grinding sound detector 9 is installed on the ground adjacent to the ore mill 6, a wireless base station 14 and a frequency converter 13 are installed at a discharge port 15 of the ore mill 6, data transmission is carried out between the wireless base station 14 and an expert control system 16, and the expert control system 16 is connected with an upper computer 17.
The grinding sound detection device is connected with the grinding sound detector 9 and the analyzer 11 through a shielded cable 10, a second acceleration sensor 12/1 in the vibration monitor 12 is connected with a second microprocessor 12/2 through a second connecting wire 12/3, and a first acceleration sensor 8/1 in the intelligent material 8 is connected with a first microprocessor 8/4 through a first connecting wire 8/2; the analyzer 11, the second microprocessor 12/3 and the first microprocessor 8/4 are wirelessly connected to the expert control system 16, and the expert control system 16 is connected with the upper computer 17.
The fixed base, the acceleration sensor I8/1, the microprocessor I8/4 and the connecting wire I8/2 are packaged in the detachable shell 8/3, and the fixed base can load lead blocks to carry out counterweight, so that the density of the intelligent material 8 is the same as that of an ore grinding medium or ore.
The method for automatically controlling by applying the online detection device specifically comprises the following steps: in the ore grinding process of the ore grinding machine 6, the intelligent material 8 moves along with the ore grinding medium 4 and the ore 7, the acceleration sensor I8/1 detects an acceleration signal of the intelligent material 8, the acceleration signal is input into the microprocessor I8/4 through the connecting wire I8/2, the microprocessor I8/4 carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the acceleration signal is transmitted to the expert control system 16 and the upper computer 17 through the wireless base station 14, the upper computer 17 carries out stress analysis and is input into the expert control system 16, the acceleration sensor II 12/1 arranged in the vibration monitor 12 monitors a vibration signal of a main shaft, the vibration signal is input into the microprocessor II 12/2 through the connecting wire II 12/3, the microprocessor II 12/2 carries out frequency spectrum analysis on the acceleration signal and outputs the frequency spectrum information, the frequency spectrum information is transmitted to the expert control system 16 and, the upper computer 17 is used for stress analysis and inputting the stress analysis into the expert control system 16, the grinding sound detector 9 is used for detecting mechanical noise generated by mutual collision between the steel balls and the cylinder, between the steel balls and between the steel balls and materials, the mechanical noise is transmitted to the analyzer 11 through the shielded cable 10, information is transmitted to the expert control system 16 through the analyzer 11, the expert control system 16 receives the information from the microprocessor II 12/2, the microprocessor I8/4 and the analyzer 11 and then outputs control signals to the belt conveyor 1, the electromagnetic valve 2/1, the ore grinding medium replenishing device 3 and the frequency converter 13 according to the control system calculation, and meanwhile, the expert control system 16 is connected with the upper computer 17.
The following description is given with reference to specific examples.
Taking the ore grinding process flow of a single ore grinding machine as an example, selecting an overflow ore grinding machine, connecting a feeding belt conveyor, a water pipe and an ore grinding medium supplementing device with a feeding port of the overflow ore grinding machine, connecting a discharge port of the overflow ore grinding machine with a classifier, adopting a two-axis acceleration sensor as an acceleration sensor of an intelligent material, adopting an intelligent chip as a microprocessor, adopting high-strength forged steel as a shell material of the intelligent material, loading a lead block counterweight on the other fixed seats in the intelligent material, adopting an FR-DL-O1 model measuring instrument as a grinding sound detector, adopting a Reynolds RNHV frequency converter as a frequency converter as the frequency converter, moving the intelligent material along with the ore grinding medium and ore during the ore grinding process of the ore grinding machine, detecting an acceleration signal of the intelligent material by the acceleration sensor, inputting the acceleration signal into the microprocessor through a connecting line, carrying out frequency spectrum analysis on the acceleration signal by the microprocessor, the upper computer carries out stress analysis and inputs the stress analysis to an expert control system, an acceleration sensor arranged in the vibration monitor monitors vibration signals of a main shaft, the vibration signals are input to the microprocessor through a connecting wire, the microprocessor carries out frequency spectrum analysis on the acceleration signals and outputs frequency spectrum information, the frequency spectrum information is transmitted to the expert control system and the upper computer through a wireless base station, the upper computer carries out stress analysis and inputs the stress analysis to the expert control system, a grinding sound detector detects mechanical noise generated by mutual collision between a steel ball and a cylinder body, between the steel ball and between the steel ball and materials, the mechanical noise is transmitted to the analyzer through a shielded cable, the information is transmitted to the expert control system after passing through the analyzer, the expert control system receives the information of intelligent materials, the vibration monitor and the grinding sound detector and then calculates control signals according to the control system and outputs the control, meanwhile, the expert control system is connected with an upper computer.
The foregoing is a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of improvements and decorations can be made without departing from the principle of the present invention, and these improvements and decorations should also be regarded as the protection scope of the present invention.

Claims (6)

1. The utility model provides an ore mill comprehensive operation state on-line measuring device which characterized in that: comprises a feeding belt conveyor (1), a water pipe (2), an ore grinding medium supplementing device (3), an ore grinding medium (4), a feeding port (5), an ore grinding machine (6), an intelligent material (8), an ore grinding sound detection device, a vibration monitor (12), a frequency converter (13), a wireless base station (14), a discharge port (15), an expert control system (16), an upper computer (17) and an electromagnetic valve (2/1), the grinding sound detection device comprises a grinding sound detector (9), a shielding cable (10) and an analyzer (11), the vibration monitor comprises a second acceleration sensor (12/1), a second connecting wire (12/3) and a second microprocessor (12/2), and the intelligent material comprises a detachable shell (8/3), a fixed base, a first acceleration sensor (8/1), a first microprocessor (8/4) and a first connecting wire (8/2); ore (7) are fed into ore mill (6) through pan feeding mouth (5) in feeder belt conveyor (1), ore milling medium (4) are fed into ore mill (6) through replenishing ore milling medium device (3), water is added to ore mill (6) in solenoid valve (2/1) control water pipe (2), intelligent material (8) are added into ore mill (6), install vibration monitor (12) on ore mill (6) main shaft, adjacent to install grinding sound detector (9) on ore mill (6) open ground, wireless base station (14) and converter (13) are installed in discharge gate (15) of ore mill (6), carry out data transmission between wireless base station (14) and expert control system (16), expert control system (16) connect host computer (17).
2. An online detection device for the comprehensive operating state of a mining mill according to claim 1, characterized in that: the grinding sound detection device is connected with a grinding sound detector (9) and an analyzer (11) through a shielded cable (10), a second acceleration sensor (12/1) in the vibration monitor (12) is connected with a second microprocessor (12/2) through a second connecting wire (12/3), and a first acceleration sensor (8/1) in the intelligent material (8) is connected with a first microprocessor (8/4) through a first connecting wire (8/2); the analyzer (11), the microprocessor II (12/2) and the microprocessor I (8/4) are wirelessly connected to the expert control system (16), and the expert control system (16) is connected with the upper computer (17).
3. An online detection device for the comprehensive operating state of a mining mill according to claim 1, characterized in that: the fixed base, the acceleration sensor I (8/1), the microprocessor I (8/4) and the connecting wire I (8/2) are packaged in the detachable shell (8/3), and the fixed base can load a lead block to balance weight, so that the density of the intelligent material (8) is the same as that of an ore grinding medium or ore.
4. A mining machine comprehensive operation state online detection device according to claim 3, characterized in that: the detachable shell (8/3) is made of high-strength wear-resistant material, and the shape of the detachable shell (8/3) comprises a sphere, a rod, a short column and a short truncated cone.
5. A mining machine comprehensive operation state online detection device according to claim 4, characterized in that: the detachable shell (8/3) is made of one of wear-resistant steel, wear-resistant cast iron, medium-high carbon alloy wear-resistant steel, hard alloy, hard nickel, ceramic and high-strength wear-resistant organic polymer.
6. An online detection device for the comprehensive operating state of a mining mill according to claim 1, characterized in that: the expert control system (16) comprises a combined logic expert control system and a microprogrammed expert control system, a second acceleration sensor (12/1) and a first acceleration sensor (8/1) comprise a two-axis acceleration sensor and a three-axis acceleration sensor, a power source of the intelligent material (8) comprises a lithium battery and a self-generating technology, and the type of the frequency converter (13) comprises a direct frequency converter, an indirect frequency converter, a current type frequency converter and a voltage type frequency converter.
CN201921125018.9U 2019-07-18 2019-07-18 Comprehensive operation state online detection device for ore mill Active CN211216941U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201921125018.9U CN211216941U (en) 2019-07-18 2019-07-18 Comprehensive operation state online detection device for ore mill

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201921125018.9U CN211216941U (en) 2019-07-18 2019-07-18 Comprehensive operation state online detection device for ore mill

Publications (1)

Publication Number Publication Date
CN211216941U true CN211216941U (en) 2020-08-11

Family

ID=71939562

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201921125018.9U Active CN211216941U (en) 2019-07-18 2019-07-18 Comprehensive operation state online detection device for ore mill

Country Status (1)

Country Link
CN (1) CN211216941U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6998072B2 (en) 2019-07-18 2022-01-18 北京科技大学 Online inspection system and control method for ball mill operation status using intelligent materials

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6998072B2 (en) 2019-07-18 2022-01-18 北京科技大学 Online inspection system and control method for ball mill operation status using intelligent materials

Similar Documents

Publication Publication Date Title
CN114160273B (en) Online detection device for comprehensive operation state of ore mill and automatic control method
CN114289137B (en) Online detection system for intelligent material detection ball mill running state and control method
CN101244403B (en) Optimization control method for grind grading process
CN103801443B (en) A kind of active slag powder production system and technological process thereof
CN106111297B (en) A kind of ore-dressing technique and its production system of chromium depleted zone
CN211216941U (en) Comprehensive operation state online detection device for ore mill
Klein et al. Energy-efficient comminution: best practices and future research needs
CN105964346B (en) A kind of method for visualizing for matching technology for ball-grinding machine abrading-ball quantized level
CN206483713U (en) Mineral dry separation system
CN211216940U (en) Intelligent material detection ball mill running state on-line detection system
CN110433926B (en) System and method for detecting running state of ore mill based on intelligent material
CN215140542U (en) Self-adaptive ball feeding system of ball mill
CN111715354B (en) Online detection device and detection method for abrasion of lining plate of vertical stirring mill
CN203124068U (en) Pre-selection and tailing-discarding system of narrow-grain-grade products in magnetic iron ore sieve
CN203291811U (en) Automatic reducing agent compounding system
CN203558504U (en) Continuous weighing device for main shaft lifting skip
CN215066338U (en) Sintering ore FeO content online detection device convenient for cleaning blockage
CN215066337U (en) Sintering ore FeO content online detection device with inclined sleeve structure
CN211755925U (en) Dynamic ore feeding amount adjusting device of ball mill
Yu et al. Energy conservation and consumption reduction in grinding operations through ceramic media stirring mill: An industrial validation test
CN107626433A (en) Method by controlling large-scale overflowball mill power to determine to add steel ball amount
CN204874694U (en) Nickel is smelted and is arranged sediment device
CN202734942U (en) Weighing and feeding device
CN102735064A (en) Weighing and feeding device
CN212143048U (en) Dry separation magnetic roller ore separation device

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant