spiral classifier java code

ekcp

ekcp

EIMCO-K.C.P. Spiral Classifiers is art of separating the solid particles in a mixture of solids and liquid into fractions according to particle size or density by methods other than screening. In general, the products resulting are (1) a partially drained fraction containing the coarse material (called the underflow) and (2) a fine fraction along with the remaining portion of the liquid medium (called the overflow). The classifying operation is carried out in a pool of fluid pulp confined in a tank arranged to allow the coarse solids to settle out, whereupon they are removed by gravity, mechanical means, or induced pressure. Solids which do not settle report as overflow. EIMCO-K.C.P. Spiral Classifiers are mechanically the devices are powerfully built, and functionally they are versatile and flexible. Todays worldwide acceptance of EIMCO-K.C.P. Classifiers for washing and dewatering pulps, and in closed-circuit grinding is the result of many years of experience in solving wet classification problems. Because users needs vary so greatly, the Classifier is available in a wide range of spiral diameters and pitches, tank shapes and lengths allowing exact compliance with each users classification requirements. Spiral diameters (0.3 m to 2.25 m): Important in establishing a correct balance between overflow and raking capacity. Bears directly on accuracy of separation and control of agitation. Spiral pitches (single / double / triple): Number of ribbons is a factor in controlling degree of agitation. Each ribbon of advanced pitch gives greater raking capacity than equivalent ribbon of spiral using lesser pitch. Triple ribbon spiral highly advantageous for slow-speed operations requiring close separations and high raking capacities. Adjustable spiral speeds: Recommended speed of operation given in peripheral MPM is an individual consideration for each ore, and is governed by size, shape and gravity of particle, angle of repose of raking load and desired mesh of separation. Peripheral speeds between 6 and 60 meters per minute are available. Pool depth: Choice of pool depth is directly related to effectiveness of pool area. Series 90 units are employed for coarse separations on down to 212 micron (65 mesh); Series 125 units are employed for separations between 300 and 106 micron (48 and 150 mesh); Series 150 units are employed for separations of 150 micron (100 mesh) and finer. Lifting device: Lifting device eliminates necessity of draining tank during shutdowns. Classifier may be quickly put in operation after shutdown with tank fully sanded. Hydraulic-type standard on all units 1.2 m in diameter and larger. Fast action hand wheel-operated screw- type lift standard on 1.05 m and smaller.

The EIMCO-K.C.P. equipment product line consists of Liquid Solid Separation products for the Mining, Mineral & Metallurgical Process, Chemical Process, Food Process, Refinery, Pulp and Paper, Power Plant, FGD System, Municipal & Industrial Waste and Water Treatment and with a wide range of related services.

spiral classifier - mineral processing

spiral classifier - mineral processing

Spiral classifier and hydrocyclone are the main equipments for the classification operation of the concentrator. Although the rapid development of the cyclone once made the spiral classifier lose its market, but with the continuous changes in the requirements of the selection plant, it was found that the spiral classifier also has its advantages. The spiral centrifugal classifier has the advantages of strong continuous operation, large processing capacity, low energy consumption per unit output, and convenient maintenance. It can handle particles with a diameter of 1um-10mm. The horizontal spiral centrifugal classifier adopts the method of wet classification, and its processing capacity can reach 1~20 (m3 slurry) kg/h. It is widely used in minerals, metal powders, chemical raw materials, pigments, fillers, etc.

The screw classifier is based on the principle that the solid particles are different in size and specific gravity, so the settling speed in the liquid is different. Fine ore particles float in the water and overflow, and coarse ore particles sink to the bottom of the tank. Spiral classifier is widely used in beneficiation plant to match with ball mill to form a closed circuit circulation path to distribute ore sand. Filter the material powder milled in the mill, and then use the spiral piece to screw the coarse material into the ball mill inlet, and the filtered fine material is discharged from the overflow pipe. There are four classifiers: high weir single spiral and double spiral, submerged single spiral and double spiral.

The spiral classifier is widely used in the classification of the grinding circuit of the concentrator and the operations of washing, desilting and dewatering. Its main advantages are simple equipment structure, reliable work and convenient operation.

1. It is used for the separation of machine-made sandstone powder, which can control the content of machine-made sandstone powder very conveniently and meet the requirements of users.2. It is suitable for dry technology large and medium-sized sand production lines.3. The content of 0.000.75mm stone powder can be adjusted between 2%-15%.4. Stone powder quality is easy to control, fineness adjustment is convenient, flexible and reliable.5. Using frequency conversion control technology, the operation is more concise.6. It can be connected with the mill in the closed circuit of the grinding circuit. Compared with hydrocyclone, the power consumption is lower.7. The main disadvantage is that the classification efficiency is low, the equipment is bulky, and the floor space is large. Due to the limitations of equipment specifications and production capacity, it cannot generally form a closed circuit with a ball mill of 3.6m or more.

The spiral classifier is divided into two types: high weir type and submerged type. High weir classifier is suitable for coarse particle classification, the maximum size of overflow is generally 0.4~0.15mm; submerged classifier is suitable for fine particle classification, the maximum size of overflow is generally below 0.2mm.

parkinsons-disease github topics github

parkinsons-disease github topics github

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.

Parkinson disease is associated with movement disorder symptoms, such as tremor, rigidity, bradykinesia, and postural instability. The manifestation of bradykinesia and rigidity is often in the early stages of the disease. These have a noticeable effect on the handwriting and sketching abilities of patients, and micrographia has been used for early-stage diagnosis of Parkinsons disease. While handwriting of a person is influenced by a number of factors such as language proficiency and education, sketching of a shape such as the spiral has been found to be non-invasive and independent measure.

In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. Well load the data, get the features and labels, scale the features, then split the dataset, build an XGBClassifier, and then calculate the accuracy of our model.

To implement an Ensemble Classifier of Logistic regression, Naive Bayes & Decision Tree. The goal is to implement a classification model to predict the Status feature in the provided Parkinson dataset.

Related Equipments