sieve analysis
简明释义
筛选
英英释义
例句
1.Before starting the research, the team needed to complete a sieve analysis of the collected soil samples.
在开始研究之前,团队需要对收集的土壤样本完成筛分分析。
2.In geology, sieve analysis is often used to classify soil samples based on their grain sizes.
在地质学中,筛分分析常用于根据土壤样本的颗粒大小进行分类。
3.The laboratory performed a sieve analysis to assess the quality of the aggregate for the concrete mix.
实验室进行了筛分分析以评估混凝土配合料的质量。
4.A proper sieve analysis can help in understanding how well a material will compact.
适当的筛分分析可以帮助了解材料的压实效果。
5.The construction company conducted a sieve analysis to determine the particle size distribution of the sand used in their project.
建筑公司进行了筛分分析以确定其项目中使用的沙子的颗粒大小分布。
作文
Sieve analysis is a technique used to determine the particle size distribution of a granular material. This method is widely employed in various industries, such as construction, mining, and pharmaceuticals, to ensure the quality and consistency of materials. The process involves passing the material through a series of sieves with different mesh sizes, allowing for the separation of particles based on their size. The results of a sieve analysis (筛分分析) provide valuable information about the material's characteristics, which can influence its performance in specific applications.The importance of sieve analysis (筛分分析) cannot be overstated. In the construction industry, for instance, the grading of aggregates is crucial for producing concrete with optimal strength and durability. If the particle size distribution is not within acceptable limits, the resulting concrete may have compromised structural integrity, leading to potential failures over time. Therefore, conducting a sieve analysis (筛分分析) helps ensure that the right proportions of fine and coarse aggregates are used, ultimately enhancing the quality of the final product.In the mining sector, sieve analysis (筛分分析) plays a critical role in the processing of ores. Different minerals have varying particle sizes, and understanding this distribution allows for more effective separation and extraction processes. By analyzing the particle size distribution, miners can optimize their operations, reduce waste, and improve recovery rates. This not only increases profitability but also contributes to more sustainable mining practices.Pharmaceutical companies also rely on sieve analysis (筛分分析) to ensure the uniformity and efficacy of their products. The size of the active pharmaceutical ingredient (API) can significantly affect the dissolution rate and bioavailability of a drug. A well-conducted sieve analysis (筛分分析) enables manufacturers to maintain consistent particle sizes, which is essential for achieving the desired therapeutic effects in patients.The procedure for conducting a sieve analysis (筛分分析) is relatively straightforward. First, a representative sample of the material is collected. The sample is then placed on the top sieve of a stack, which consists of several sieves arranged in descending order of mesh size. The stack is subjected to mechanical shaking or vibration, allowing the particles to pass through the sieves according to their size. After a predetermined period, the amount of material retained on each sieve is weighed. This data is then used to calculate the percentage of the total sample mass that corresponds to each particle size range.The results of a sieve analysis (筛分分析) are typically presented in a graphical format, showing the cumulative percentage of material passing through each sieve against the sieve size. This graph provides a clear visual representation of the particle size distribution, making it easier for engineers and scientists to interpret the data and make informed decisions regarding material selection and processing.In conclusion, sieve analysis (筛分分析) is an essential tool across various industries, providing critical insights into the particle size distribution of granular materials. By utilizing this technique, professionals can ensure the quality and performance of their products, ultimately leading to enhanced safety, efficiency, and sustainability in their respective fields.
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