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  • Online detection of concentrate grade in the antimony flotation

    The monitoring of concentrate grade throughout the antimony flotation process allows for realtime assessment of product quality and adjustment of flotation operationDue to the fluctuations in the grade of raw ore, adaptively adjusting the setpoints is extremely important in the flotation processFlow diagram of the antimony flotation process

  • Reagent Dosage Control for the Antimony Flotation

    2020年1月6日· A reagent dosage hybrid control strategy for the antimony flotation process is proposed in this work This strategy consists of two parts: reagent dosage t ReagentThis paper investigates a datadriven adaptive optimal control approach for antimony flotation process in presence of input timedelay and disturbance The inte ValueValueiterationbased Adaptive Optimal Reagents Control for

  • Froth Flotation Classification of Antimony Based on Histogram of

    This paper describes a method based on machine vision system to classify different grades of Antimony during the floatation process It is proved that the size of bubblesgoldantimony froth flotation in this study adopts a part prioritymixed flotation process, meaning gold flotation is performed in alkaline pulp, followed by antimony flotation inProcess diagram of goldantimony flotation ResearchGate

  • Online detection of concentrate grade in the antimony flotation

    Online detection of concentrate grade in the antimony flotation process based on in situ Raman spectroscopy combined with a CNNGRU hybrid model Froth flotation is theantimony flotation process 1 INTRODUCTION A dramatic fluctuation of feed conditions and the sharp changes of parameters in floatation process could cause fault conditionsFault Condition Recognition Based on Multiscale Texture NSFC

  • Valueiterationbased Adaptive Optimal Reagents Control for

    Abstract: This paper investigates a datadriven adaptive optimal control approach for antimony flotation process in presence of input timedelay and disturbance The2020年1月6日· A reagent dosage hybrid control strategy for the antimony flotation process is proposed in this work This strategy consists of two parts: reagent dosage tracking control based on a froth size probability density function (PDF) and reagent dosage compensation control based on a distributedmachine vision predictive model The proposed methodReagent Dosage Control for the Antimony Flotation Process

  • Coordinated optimization setting of reagent dosages in roughing

    2018年5月5日· Considering the influence of reagent adjustment in different flotation bank on the final production index and the difficulty of establishing an effective mathematical model, a coordinated optimization method for dosage reagent based on key characteristics variation tendency and casebased reasoning is proposed On the basis of the expert reagent2021年5月10日· 21 System architecture introduction Figure 1 shows the process flow of coal flotation and the architecture of proposed froth image recognition system The production equipment of the flotation system is a mechanical stirring selfsuctiontype flotation machine with model XJX20, where the four rooms are connected, the coalA new froth image classification method based on the MRMR

  • Application of densitybased clustering algorithm and

    2022年6月30日· However, the CNNbased method cannot be directly applied to the antimony flotation process (Zhou and Zhou, 2018) In order to solve the problem, a recognition model based on density clustering and capsule neural network (CapsNet) is proposed to classify the working conditions of the antimony froth flotation process2020年5月3日· It is well known that the change of the reagent dosage during the flotation process will cause the froth image to change continuously with time Therefore, an intelligent setting method based on the time series froth image in the zinc flotation process is proposed Firstly, the sigmoid kernel function is used to estimate the cumulativeProcesses | Free FullText | Intelligent Setting Method of Reagent

  • Fault detection in flotation processes based on deep learning and

    2019年10月14日· Effective fault detection techniques can help flotation plant reduce reagents consumption, increase mineral recovery, and reduce labor intensity Traditional, online fault detection methods during flotation processes have concentrated on extracting a specific froth feature for segmentation, like color, shape, size and texture, always leading2019年9月15日· Antimony flotation is a complicated industrial process with an unknown system structure Manual manipulation is still widely used by observing the froth appearance, which relies on operators’ experience Therefore, this paper proposes a reagent predictive control strategy for the antimony flotation process based on machineShapeweighted bubble size distribution based reagent predictive

  • Prediction of Froth Flotation Performance Using Convolutional

    2023年5月5日· The first database was the image and metallurgical data obtained from a batch flotation cell operated over a wide range of process conditions []The second database was obtained from an industrial flotation column in a coal preparation plant []41 Laboratory Flotation Tests In the first case study, image and metallurgical data captured175 FLOTATION OF GOLDCONTAINING MERCURY/ANTIMONY ORES In general, these ores belong to a group of difficulttotreat ores, where cyanidation usually produces poor extraction Mercury is partially soluble in cyanide, which increases consumption and reduces extraction A successful flotation method [5] has17 Flotation of Gold Ores Aalto

  • Online detection of concentrate grade in the antimony flotation process

    Froth flotation is the most critical process for separating stibnite from raw ore Concentrate grade is a vital production indicator in the antimony flotation process It is a direct reflection of the product quality of the flotation process and an essential basis for the dynamic adjustment of its o2012年10月10日· The content of the antimony ore is the most important point for determining the area of usage Since, highgrade antimony ores are depleted, there are many research studies involving the(PDF) THE BENEFICIATION OF ANTIMONY ORE BY

  • Froth Flotation Classification of Antimony Based on Histogram of

    Abstract: The process of flotation is one of the most complex industrial processes for purifying minerals, and the control of flotation process is one of the most challenging issues in the mineral processing industry This paper describes a method based on machine vision system to classify different grades of Antimony during the floatation process It isMicrobially Induced Mineral Beneficiation KA Natarajan, in Biotechnology of Metals, 2018 Sphalerite–Galena Separation Differential surface chemical behavior of A ferrooxidans towards galena and sphalerite can be made use of in the separation of galena from sphalerite through selective flotation after bacterial conditioning Flotation recovery ofSelective Flotation an overview | ScienceDirect Topics

  • A hybrid feature selection method for production ScienceDirect

    2020年7月1日· Description of the goldantimony flotation process In order to separate gold and antimony from the raw ore, a preferentialbulk flotation technique is employed during the goldantimony flotation process It contains two parts (Li and Gui, 2018): (1) separating gold in a weakalkaline environment; (2) recovering antimony under a weak1989年1月1日· Abstract On the basis of knowledge of the beneficiation properties of antimony minerals reported in the previous part of this article, this second half reviews the state of technology for separation of those minerals and summarizes experience from processing plants The high density of antimony minerals and their tendency to grind toCurrent processing technology for antimonybearing ores a

  • DRESSING Reagent Dosage Control for the Antimony Flotation Process

    98), then selects for antimony under a weakly acidic environment (pH 65) The goldantimony flotation process is divided into several flotation banks: gold roughing bank, gold cleaning bank, antimony roughing bank, antimony scavenging bank and antimony cleaning bank (Fig 1)2023年10月1日· The whole antimony flotation process has been shown in the second section The antimony concentration grade (%), as one of the most important quality features, is the target variable of the proposed soft sensor modeling method In this study, we use froth visual features to predict key variables Table 1 shows the 13 froth visualA novel semisupervised soft sensor modeling method based on

  • Flotation of antimony ores with high arsenic content

    Therefore, antimony ore consisting of stibnite mineral obtained from TokatTurkey region was used in this study Due to the low antimony (506%Sb) and the high Arsenic (138%As) content, it is an important requirement to increase the Sb content of this ore by flotation, as well as to reduce the As content to certain levels2019年8月1日· Therefore, this paper proposes a reagent predictive control strategy for the antimony flotation process based on machine vision, A Review of Froth Floatation Control Article Sep 2011;Shapeweighted bubble size distribution based reagent predictive

  • Valueiterationbased Adaptive Optimal Reagents Control for Antimony

    21 Modeling the antimony flotation process From flotation process mechanism, there exists four states of mineral particles in the flotation cell which can be seen in Fig 1 Based on [23], the dynamic relationship can be modeled based on the flotation dynamics and mass balance model: (1) Free mineral particles in pulp phase d dt (V LP LP

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