Development of a fast carbon meter in front of a portable steel water heater

The measurement of 2-face tension is an essential process in casting production, and online rapid detection technology for sand quality has been developed by Zou Qiming and Li Dayong from Harbin University of Science and Technology, Harbin, Heilongjiang Province, 150080. They analyzed the key parameters affecting sand quality and its influencing factors. The researchers pointed out that relying solely on a limited number of performance parameters to control sand quality is not effective, and traditional instruments are often complex to operate. The most direct factors impacting the quality of wet clay sands are the effective clay content and water content. When these parameters are within an optimal range, a high-quality molding sand can be produced through a well-controlled sand mixing process. To address this, a new method for rapidly determining both the effective clay content and water content was proposed. This method uses a dual-power secondary excitation technique: first, an AC source is applied to the sand sample, and the AC resistance is measured. Then, a DC power supply is used to measure the DC resistance within a short time. By using the AC resistance value to eliminate the influence of moisture, the DC resistance becomes directly related to the clay content, allowing for accurate calculation of the effective clay content. Based on this principle, extensive experiments were conducted on wet clay sand, leading to the development of an online rapid detection device for sand quality. The system is built around an 8098 single-chip microcomputer, with analog signal amplifiers, multiplexers, and a sampling mechanism that automatically collects samples under system control. After preparation, the AC and DC conductance values, along with temperature and compaction data, are recorded to determine the moisture and clay content, and the results are displayed on a screen or printed via a micro-printer. A fast carbon meter for portable steel melting furnaces was also developed by Shi Xudong and Li Dayong from Harbin University of Science and Technology. Accurate and rapid measurement of carbon content in molten steel before casting is crucial for controlling the mechanical and casting properties of steel castings. Traditional methods lacked scientific accuracy, relied heavily on operator experience, and were too slow for real-time monitoring. Some techniques were also costly, making them impractical for many foundries. Therefore, a new, more efficient carbon measuring device was needed. This new device features a novel sampling system that allows both thermal and cold sampling, depending on the situation. The thermal sampling system includes a heat-resistant quartz tube, a secondary sample cup, a permanent thermocouple, and a quick-connect handle. The cold sampling system consists of similar components but designed for lower-temperature applications. Both systems offer fast response times and cost-effective operation. The single-chip measurement system is based on a low-power microcontroller, equipped with signal processing, data storage, and display modules. This compact, portable instrument is easy to carry and operate, powered by a rechargeable battery. It can measure the carbon content of molten steel in just 5 to 20 seconds, offering a fast and reliable solution for foundries. Another innovation is the fast quality analyzer for a single-chip cast iron furnace developed by Wang Xiaoming and Li Dayong from Harbin University of Science and Technology. Combining microelectronics and computer technologies, this device integrates the principle of thermal analysis to provide rapid testing of cast iron quality. The system is built around an 8098 single-chip microcontroller, with extended hardware including a 16-bit display, 24-key keyboard, microprinter, four high-precision preamplifiers, alarm circuits, and multi-channel power supplies. This advanced system enables real-time monitoring and control of casting quality, improving efficiency and reducing defects in the production process.

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