Classification and mineralization of global lithium deposits and lithium extraction technologies for exogenetic lithium deposits

A reasonable classification of deposits holds great significance for identifying prospecting targets and deploying exploration. The world ’s keen demand for lithium resources has expedited the discovery of numerous novel lithium resources. Given the presence of varied classification criteria for lithium resources presently, this study further ascertained and classified the lithium resources according to their occurrence modes, obtaining 10 types and 5 subtypes of lithium deposits(resources) based on endogenetic and exogenetic factors. As indicated by surveys of Cenozoic exogenetic lithium deposits in China and abroad,the formation and distribution of the deposits are primarily determined by plate collision zones, their primary material sources are linked to the anatectic magmas in the deep oceanic crust, and they were formed primarily during the Miocene and Late Paleogene. The researchers ascertained that these deposits,especially those of the salt lake, geothermal, and volcanic deposit types, are formed by unique slightly acidic magmas, tend to migrate and accumulate toward low-lying areas, and display supernormal enrichment. However, the material sources of lithium deposits(resources) of the Neopaleozoic clay subtype and the deep brine type are yet to be further identified. Given the various types and complex origins of lithium deposits(resources), which were formed due to the interactions of multiple spheres, it is recommended that the mineralization of exogenetic lithium deposits(resources) be investigated by integrating tectono-geochemistry, paleoatmospheric circulation, and salinology. So far, industrialized lithium extraction is primarily achieved in lithium deposits of the salt lake, clay, and hard rock types. The lithium extraction employs different processes, with lithium extraction from salt lake-type lithium deposits proving the most energy-saving and cost-effective.

INTRODUCTION TO PATENTS

2016-37.Process for producing cast aluminum alloy memberPatent No.：US9194029（B2）Date of Patent：2015-11-12Inventor（s）：Takemura Hideki,et al Assignee：Takemura Hideki[JP]A production method of the present invention includes a step of obtaining an aluminum alloy melt having an alloy composition（mass%）containing 0.2-0.35 Fe,

INTRODUCTION TO PATENTS

An embedding material composition for casting The present invention provides an embedding material composition for casting that makes it possible to achieve a favorable casting in the case of a resin pattern that is different from a conventional wax pattern in evaporative temperature and evaporative behaviors through ＂rapid heating＂ - excellent in treatment efficiency. The main components of the casting embedding material compnses a Under and a non-heat-expandable refractory material having an average particle diameter of 5 to 20 pro.

INTRODUCTION TO PATENTS

The present invention relates to a spheroidizing treatment method for a molten metal of a spheroidal graphite cast iron.A graphite spheroidizing agent containing：30-80wt.%of Si;Mg;RE（rare earth element）which comprises Ce with a purity level of 80-100wt.

Application of Coalescence Separation Technology in Manufacture of Nitrobenzene

The commercial application project for reducing the sodium content in raw nitrobenzene which was performed by the Research Institute of the SINOPEC Nanjing Chemical Company(NCC)has passed the appraisal organized by the Science and Technology Division of the Sinopec Corp.The appraisal team has recognized that the overall technology of this project has reached the internationally advanced level.

The Novel Triangle MGM(1,m,N)Model and Its Applications

The MGM(1,m,N)model is an effective grey multi-variate forecasting model that considers multiple system characteristic sequences affected by multiplefactors.Nevertheless,it isregularly inaccurate in the application This is because the model requires a strong correlation between the system characteristic sequences That reduces the applicability of the model.To solve this problem,this paper proposes a novel multi-variate grey model.This model does not require a certain correlation between system characteristic sequences and has higher applicability Through numerical integration,a two-point trapezoidal formula,and a recursive method,thetime-response expressions ofthetwo model forms are obtained Some properties of the proposed model are further discussed Finally,the validity of the proposed model is evaluated by using two real cases related to China's invention patent development.Theresultsshow that the novel models outperformother models inbothsimulation and prediction applications.