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首页> 外文会议>Sensors, sampling, and simulation for process control >DEVELOPMENT OF AN AQUEOUS PARTICLE SENSOR (APS III) SYSTEM AS A RESEARCH TOOL FOR STUDYING THE BEHAVIOUR OF INCLUSIONS IN WATER MODELS OF TUNDISH OPERATIONS
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DEVELOPMENT OF AN AQUEOUS PARTICLE SENSOR (APS III) SYSTEM AS A RESEARCH TOOL FOR STUDYING THE BEHAVIOUR OF INCLUSIONS IN WATER MODELS OF TUNDISH OPERATIONS

机译：水粒子传感器（APS III）系统的开发作为研究工具，用于研究中间包水模型中的夹杂物行为

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The control of liquid metal cleanliness during refining operations is an effective procedure used to improve the material properties of the final product. Over the years, low temperature simulation studies on inclusion behavior in steelmaking tundish operations have been modeled in order to help develop techniques to float out as many inclusions as possible, in liquid steel systems, prior to casting. The inclusions in liquid steel are simulated by glass microspheres submerged in water, and their behavior was studied with a new Aqueous Particle Sensor (APS), recently re-constructed at McGill, this time using digital based micro-computing technology. The working principle of the APS is similar to the well known Liquid Metal Cleanliness Analyzer (LiMCA), used worldwide for the detection of inclusions in molten aluminum and steel. Both are based on the Resistive Pulse, or Electric Sensing Zone (ESZ) approach. The latest "water LiMCA", or APS III system, relies on the processing speed of current microprocessors. This allows us to simplify the acquisition and interpretation of data input. The APS III has a wide particle size measurement capability, ranging between 25 and 170 microns, gathering data, online, or off-line, with high accuracy.
机译：在精炼操作过程中控制液态金属清洁度是一种有效的程序，可用于改善最终产品的材料性能。多年来，已经对炼钢中间包操作中的夹杂物行为进行了低温模拟研究，以帮助开发在铸造前在钢水系统中浮出尽可能多的夹杂物的技术。液态钢中的夹杂物是通过浸入水中的玻璃微球来模拟的，其行为由最近在McGill重建的新型水粒子传感器（APS）进行了研究，这次使用的是基于数字的微计算技术。 APS的工作原理类似于众所周知的液态金属清洁度分析仪（LiMCA），该分析仪在全球范围内用于检测熔融铝和钢中的夹杂物。两者均基于电阻脉冲或电感应区（ESZ）方法。最新的“ water LiMCA”或APS III系统依赖于当前微处理器的处理速度。这使我们能够简化数据输入的获取和解释。 APS III具有很宽的粒度测量能力，范围在25到170微米之间，可以在线或离线高精度地收集数据。

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