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Specification electric motor scraps sealed units purity: 99.97% with connection box consist of aluminum case, with full copper content inside voltage220/440 voltage 50 or 60 hz. Size : 100 -500 cm3 power 2 Hp to 40 Hp Three phase Compressor weight: 6Kg, 8Kg, 10Kg, 12Kg 14kg 20kg -22 kg 40kg material : oil drained, comes copper Inside bulk quantity available

Overview The handheld roll gap checker is specially used to measure the length between spherical surface, arc surface and plane (or spherical surface). It is specially suitable for the opening adjustment of the roll gap of the metallurgical continuous casters in various specifications, because the roll gap checker has the advantages of high resolution, accurate measurement, stable data and easy to use. Because the opening accuracy of the roll gap checker will directly affect the quality of the casting block, this roll gap checker is an indispensable testing equipment in the continuous casting equipment, which can fully meet the needs of on-site installation testing and use process verification. When the hand-held roll gap meter smoothly passes through the gap between the guide rolls of the continuous casting machine, the upper measuring contact of the hand-held roll gap checker contacts the inner arc roll and the lower measuring contact touches the outer arc roll. The handheld roll gap checker is used in perpendicular to the roll diameter direction, during the pushing process, when the hand-held roll gap meter is in the tangent plane of the upper and lower rolls, the measured value is the smallest at this time, and this value is the roll gap measurement value. The design of the hand-held roll gap gauge ensures that the upper and lower contacts of the roll gap checker can smoothly pass the measured roll along a straight line during measurement. During the measurement process, the roll gap measuring instrument automatically compares the measured values, and displays the minimum measured value on the instrument display interface, which is the current measured roll gap value. The introduction of different types The measuring range of the split hand-held roll gap checker is 180mm - 400mm This hand-held roll gap checker adopts the design that the measuring body and the display instrument are separated. The measuring body can be clamped by an extension rod, which is suitable for online maintenance and measurement of wider slabs, and it is convenient to use the extension rod to send the measuring body into the continuous casting section to measure inside and we can see measurement data on the checker outside. The measuring range of instrument type handheld roll gap checker is 120mm - 400mm This hand-held roll gap meter is light and compact, and it is convenient to carry during maintenance. The measurement value can be seen immediately after measurement, easy to use, and can be equipped with a short measuring rod. It is suitable for the maintenance and measurement of slab online and offline continuous casting sections. It has data printing function, the measurement results can be printed in real time. The measuring range of thin slab hand-held roll gap checker is 60mm - 150mm This handheld roll gap meter is suitable for measuring the roll gap of CSP continuous casting machine and ultra-thin slab continuous casting machine. It is accurate and easy to use. The technical parameters 1. Measuring range of instrument type handheld roll gap checker: 180mm - 400mm (the range can be customized) 2. Measuring range of digital hand-held roll gap checker: 120mm - 400mm (the range can be customized) 3. Measuring range of hand-held thin slab roll checker : 60mm - 150mm (the range can be customized) 4. Measurement accuracy: 0.01mm 5. Working temperature: -25℃~+85℃ 6. Battery capacity: 5000mAh 7. Charger specification: 12V

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Overview: The BPS-K600 continuous casting mould breakout prediction system is developed by Wuhan CenterRise M&C Measuring Co., Ltd. It adopts artificial neural network and combines with traditional artificial intelligence and information processing technology to overcome the defects of traditional logic-based prediction models. It has the functions of self-adaptation, self-organization and real-time learning. The breakout prediction system has an optimized industrial network structure. According to the distribution and change rules of the temperature field of the mold, it can track and respond to the breakout process in real time. It can learn and judge by itself, and provide early warning information for on-site operations. It can effectively prevent the occurrence of breakout accidents, greatly reducing the cost and improving the safety factor of continuous casting. The system is suitable for all kinds of continuous casting machines such as square billet, round billet, rectangular billet and slab. Block Diagram of Breakout Prediction System The composition of the system Thermocouple: according to the on-site conditions of the mold, water tank, bolts and mold frame to desgin Front-end acquisition system: Multi-module acquisition chain, industrial Ethernet interface, high-speed embedded processing module Working platform: Real-time display of mold temperature field status, online analysis and prediction of mold breakout Server: Data exchange and storage management, reporting and printing system, with data analysis and self-learning functions The Main technical parameters Data sampling: the sampling frequency of K-type/T-type thermocouple can up to 10HZ Accuracy of temperature measurement: ±0.25℃ Support communication protocol: Industrial Ethernet (TCP/IP)，PROFIBUS-DP，CANopen Executive standard: DE0411 Standard Class III/1EC584/IEC1515 Transmission speed: 100M/bps The composition of the software Online monitoring software for breakout prediction Offline query software for breakout prediction Data recovery and self-learning software packages Data acquisition and monitoring software The software package of mold thermal status display The functions of the system Real-time data acquisition, data analysis and judgment Automatic selection of steel grade’s alarm parameters Real-time dynamic picture monitoring Prediction alarm and information display of breakout signs Automatic deceleration after alarm Historical data storage and historical trend graph display Automatic report generation and printing Alarm prediction and pattern recognition of unknown steel grades by neural network Dynamic real-time temperature profile prediction Mould heat flow field display FIG 1：Typical process of mold breakout prediction The features of the system 1. Reasonable design of temperature measurement point and professional protection front-end acquisition system, and complete installation and calibration tool components. 2. The system has strong adaptability and can meet the transformation of various structural continuous casting machines. 3. High-speed data communication, using industrial network to form an independent local area network for each workstation and server. It can realize high-speed data transmission of alarm files, alarm parameters, and other databases. 4. The combination of artificial neural network and intelligent forecasting model improves the alarm accuracy of breakout forecasting. 5. Historical data storage and historical trend graph display, historical reports, historical alarm legend printing, real-time alarm data printing. 6. Provide a local area network interface, which can realize the storage and forwarding of alarm files, and the input and output of offline alarm data. 7. Remote Web browsing can be achieved according to customer needs. 8. Can be seamlessly connected with MES-C220 mould expert system.

Overview The surface quality inspection of high temperature cast product is of great significance to the repair of cast product’s defects and the hot delivery of hot cast product. The ZSQ-T series of online surface quality inspection equipment for casting billets developed by Wuhan CenterRise M&C Engineering Co., Ltd can detect the defects such as scratches, cracks, holes, pits, edge cracks, edge defects on the surface of the cast products, and meet the customer's requirements for the quality inspection of the surface of the cast product. The principle of the system The ZSQ-T200 online surface quality inspection system for continuously cast products adopts the principle of optical imaging and uses a CCD image sensor to input the surface image of the cast products to be detected into the computer, and then the obtained image is processed by special image processing software to find out whether there is any defect in the image. After the defects in the image are obtained, the obtained defects are classified through a special self-learning system, and finally the requirements of the computer to automatically identify the surface defects of the cast products are achieved. The composition of the system 1. Optical part: The optical part is composed of multiple fixed-focus lenses and linear CCD, which mainly realizes scanning and imaging of the surface of the cast products. 2. Lighting part: The lighting part is composed of a high-brightness LED array and a cylindrical lens, which realizes high-brightness and high-uniformity lighting on the surface of the cast products. 3. Mechanical structure part: The mechanical structure part mainly realizes the adjustment, installation and fixing of the optical part and the lighting part, and consists of the imaging head (optical part), light box (lighting part), bracket and control cabinet. The structure is required to be stable and reliable. 4. Real-time processing: The real-time processing part is completed by the multi-CCD data real-time sampling processing unit (high-speed DSP) independently developed by Wuhan CenterRise M&C Engineering Co., Ltd. 5. Hardware part: The hardware part consists of high-speed storage controller and storage hard disk array, Gigabit InternetMAC controller, Gigabit Ethernet PHY. Rj45, and multiple high-speed workstations. 6. Detection software: The detection software mainly realizes the functions of collection, storage, transmission, processing of CCD scanning images, extraction of defects, analysis of defect characteristics, calculation of defect size and position, storage of defect images, generation of cast product’s surface quality analysis reports. etc.

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