· In summary, a data-driven-based adaptive fuzzy neural network control strategy is developed for the antimony flotation plant. The control strategy consists of FNN controllers, data-driven model, and on-line adaptive algorithm. FNN is constructed to
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· It ought to be possible to depress ferrous antimony minerals effectively in pyrite-selective environments. Minerals Engineering, Vol. 2, No. 4, pp. 543-556, 1989 0892-6875/89 $3.00 + 00 Printed in Great Britain 1989 Pergamon Press plc CURRENT PROCESSING TECHNOLOGY FOR ANTIMONY-BEARING ORES A REVIEW, PART 2
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:Antimony Flotation ProcessFuzzy Neural NetworkPublish Year:2019 · An adaptive generalized predictive control scheme for an industrial process is designed based on a neuron adaptive splitting and merging radial basis function neural
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:Antimony Flotation ProcessFroth FlotationReagent Addition · Reagent addition during antimony rougher flotation in a gold-antimony flotation plant was used to verify the reagent addition optimal-setting control method. A total of 530 groups of industrial
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· We propose a novel CNN-GRU network for concentrate grade prediction in the antimony flotation process. A graphical illustration of the developed network is shown in Fig. 3.As represented in Fig. 3, the continuously acquired Raman spectra of mixed minerals in the froth layer are obtained and fed into the designed CNN-GRU network to
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5 · Flotation selectively concentrates valuable components such as iron oxide while minimizing impurities. The separation of limonite minerals from other impurities through a flotation process . The success of this process depends on several factors, including pH control, reagent selection, and particle size distribution.
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:Antimony Flotation ProcessFuzzy Neural NetworkIn this paper, a data-driven-based adaptive fuzzy neural network control strategy is developed to implement the automatic control of the antimony flotation process. The
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· equipment:Ball mill, Hydrocyclone, Flotation, Washing plant, CIP, CIL Published May 23 , 2024 + Follow Introduction Antimony ore, primarily composed of stibnite (Sb2S3), is a valuable resource due
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： 5944-5960. ： . ： 2019-06-21. ： SCI. ： Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process. ： Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics
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:Fuzzy Neural NetworkAntimony FlotationAbstract: This paper investigates a data-driven adaptive optimal control approach for antimony flotation process in presence of input time-delay and disturbance. The
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Silver ore processing plant. 1. Crushing stage. The content of silver in the ore is extremely low. In order to extract the silver, the silver ore needs to be crushed and ground, and the beneficiation method is used to pre-enrich or separate the silver from the ore. The jaw crusher is used for coarse crushing and medium crushing, and the cone
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· Antimony has become an increasingly critical element in recent years, due to a surge in industrial demand and the Chinese domination of primary production. Antimony is produced from stibnite ore (Sb2O3) which is processed into antimony metal and antimony oxide (Sb2O3). The industrial importance of antimony is mainly derived
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: Mingxi Ai, Yongfang Xie, Shiwen Xie, Fanbiao Li, Weihua Gui · In the antimony flotation plant, our research team has developed a machine vision-based monitor platform using an industrial RGB camera. The software
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Semantic Scholar extracted view of "Fault Condition Recognition Based on Multi-scale Texture Features and Embedding Prior Knowledge K-means for Antimony Flotation Process" by Lin Zhao et al. DOI: 10.1016/J.IFACOL.2015.09.635 Corpus ID:
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· In the antimony flotation plant, our research team had established the measurement and monitoring platform. An industrial RGB camera was used to record the froth appearance video. The videos were delivered to an industrial computer through optical fiber, and then were processed and analyzed.
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: Mingxi Ai, Yongfang Xie, Shiwen Xie, Jin Zhang, Weihua Gui · In further, industrial experiments in the antimony flotation plant of China demonstrate that our control strategy improved the tracking performance and decreased
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· In further, industrial experiments in the antimony flotation plant of China demonstrate that our control strategy improved the tracking performance and decreased the tailing grade,
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This paper presents an application of the capsule network to predict the antimony grade of pulp in the roughing cell of an antimony flotation plant in the Hunan Province, China. In this plant, because the chemical testing for analyzing the antimony grade only generated eight data points every day, data could be collected in small amounts and were mixed
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· The experimental data used in this study were collected from a real-world antimony flotation plant in the Hunan Province, China. The flotation process is shown in Fig. 1. Fig. 1 shows that the antimony flotation process includes 5 parts: roughing, scavenging Ⅰ, scavenging Ⅱ, cleaning Ⅰ, and cleaning Ⅱ, respectively.
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USAC began mining antimony at the Stibnite Hill Mine near Thompson Falls, Montana in 1969. Mining was from 23 different drifts using room and pillar methods, slushers, jack-leg drills, and electric trammers. A heavy media separator (HMS) plant and flotation mill were installed. Initial concentrates were sold to smelters until 1971.
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· Flotation of Antimony Ores with High Arsenic Content. August 2022. Physicochemical Problems of Mineral Processing. DOI: 10.37190/ppmp/152865. Authors: Mustafa Özer. Istanbul Technical University
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The present study investigates the optimization and advanced simulation of the flotation process of coarse particles (–425 + 106) using micro-nanobubbles (MNBs). For this purpose, flotation
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The main objective of this work is to develop a machine-vision-based recognition method to assess whether the reagents addition is appropriate or not. The froth structure in the antimony-roughing bank is directly subject to reagents addition, which can. Figure 1. Simplified flow sheet of antimony flotation process.
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· The proposed method was applied in a gold-antimony flotation plant located in Hunan, China. It improved the efficiency of froth flotation and reduced false reagent operation. This article is
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:Antimony Flotation ProcessPublish Year:2019 · In this paper, a data-driven-based adaptive fuzzy neural network control strategy is developed to implement the automatic control of the antimony flotation
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Froth flotation is the most widely used method of mineral separation. The froth state reflects the information of mineral content in the froth. Therefore, the most common method is to evaluate the froth surface state to control the operation to improve the mineral recovery. However, it is still a challenge to evaluate the froth state in real time, efficiently, quickly
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· Response functions were produced for both Cu grade and recovery and optimized within the experimental range. The optimum reagent dosages were found to be 12.01 g/t Z11, 11 g/t AP407, 3 g/t AF65 and 5 g/t AF70 to attain the maximum Cu grade (8.17%). The reagent dosages of 12 g/t Z11, 11 g/t AP407, 3 g/t AF65 and 15 g/t AF70
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Thus, overall plant recovery may be increased by reducing slime losses due to overgrinding of the soft, high specific gravity stibnite. CONDITIONING AND FLOTATION The classifier overflow adjusted to a pH of approximately 7.5 to 7.8 is conditioned with a stibnite activator such as copper sulfate or lead acetate and a collector such as Z-11 or a liquid type
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· In a recent survey of plants mostly in Southern Africa (le Roux et al., 2020), it was found that some 67 % of the plants surveyed were equipped with froth imaging systems. These commercial systems are mostly designed to monitor bubble size distributions, froth colour, movement and stability, which is used in operator decision
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· 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 case-based reasoning is proposed. On the basis of the expert
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