arithmetic mean particle diameter

简明释义

算术平均粒径;

英英释义

例句

1.The environmental report indicated that the arithmetic mean particle diameter 算术平均粒径 of airborne pollutants is increasing over time.

环境报告指出，空气污染物的算术平均粒径 arithmetic mean particle diameter正在逐渐增加。

2.In the manufacturing of pharmaceuticals, controlling the arithmetic mean particle diameter 算术平均粒径 is crucial for ensuring proper dosage.

在制药制造中，控制算术平均粒径 arithmetic mean particle diameter对确保正确剂量至关重要。

3.The study revealed that the arithmetic mean particle diameter 算术平均粒径 of the soil samples was significantly larger in urban areas compared to rural regions.

研究显示，城市地区的土壤样本的算术平均粒径 arithmetic mean particle diameter明显大于农村地区。

4.We used laser diffraction to determine the arithmetic mean particle diameter 算术平均粒径 of the powder samples.

我们使用激光衍射法来确定粉末样本的算术平均粒径 arithmetic mean particle diameter。

5.To optimize the filtration process, we need to measure the arithmetic mean particle diameter 算术平均粒径 of the suspended solids in the water.

为了优化过滤过程，我们需要测量水中悬浮固体的算术平均粒径 arithmetic mean particle diameter。

作文

In the field of material science and engineering, understanding the size and distribution of particles within a given material is crucial for determining its properties and behavior. One essential concept in this domain is the arithmetic mean particle diameter, which is often abbreviated as AMPD. The arithmetic mean particle diameter (算术平均粒径) provides a simple yet effective way to quantify the average size of particles in a sample, allowing researchers and engineers to make informed decisions regarding the processing and application of materials.The calculation of the arithmetic mean particle diameter involves measuring the diameters of individual particles within a sample and then averaging these measurements. This is typically done using various techniques such as laser diffraction, sieve analysis, or microscopy. The formula for calculating the arithmetic mean particle diameter is straightforward: you sum all the particle diameters and then divide by the total number of particles measured. For example, if a sample contains five particles with diameters of 2 mm, 3 mm, 4 mm, 5 mm, and 6 mm, the arithmetic mean particle diameter would be calculated as follows:(2 + 3 + 4 + 5 + 6) / 5 = 20 / 5 = 4 mm.This value indicates that, on average, the particles in this sample have a diameter of 4 mm.The significance of the arithmetic mean particle diameter extends beyond mere numerical representation. It can influence various physical properties of materials, including their flow characteristics, reactivity, and strength. For instance, in pharmaceuticals, the size of active ingredients can affect the dissolution rate and bioavailability of drugs. Smaller particles may dissolve more quickly, leading to faster absorption in the body. Conversely, larger particles may provide a sustained release of medication over time.Moreover, in industries like cosmetics, the arithmetic mean particle diameter plays a vital role in formulating products that require specific textures and appearances. For example, a foundation with finely milled particles will provide a smoother finish on the skin compared to one with coarser particles. Thus, understanding and controlling the arithmetic mean particle diameter is essential for achieving desired product qualities.In environmental science, the arithmetic mean particle diameter is also significant when studying aerosols and particulate matter in the atmosphere. The size of these particles can determine their behavior, dispersion, and potential health effects. Smaller particles may remain suspended in the air for longer periods, increasing inhalation risks, while larger particles tend to settle more quickly.In conclusion, the arithmetic mean particle diameter (算术平均粒径) is a fundamental metric in various scientific and industrial fields. Its ability to summarize particle size data into a single value makes it an invaluable tool for engineers, scientists, and researchers. By mastering the concept of arithmetic mean particle diameter, professionals can enhance their understanding of material properties and improve the design and functionality of products across multiple industries. As technology and methodologies advance, the importance of accurately measuring and analyzing the arithmetic mean particle diameter will only continue to grow, paving the way for innovations that rely on precise material characteristics.

在材料科学和工程领域，理解材料中颗粒的大小和分布对于确定其特性和行为至关重要。这个领域中的一个基本概念是算术平均粒径，通常缩写为AMPD。算术平均粒径提供了一种简单而有效的方法来量化样本中颗粒的平均大小，使研究人员和工程师能够就材料的加工和应用做出明智的决策。计算算术平均粒径涉及测量样本中单个颗粒的直径，然后对这些测量值进行平均。这通常通过激光衍射、筛分分析或显微镜等各种技术来完成。计算算术平均粒径的公式很简单：将所有颗粒直径相加，然后除以测量的颗粒总数。例如，如果一个样本包含五个直径分别为2毫米、3毫米、4毫米、5毫米和6毫米的颗粒，则算术平均粒径的计算如下：(2 + 3 + 4 + 5 + 6) / 5 = 20 / 5 = 4毫米。这个值表明，该样本中的颗粒平均直径为4毫米。算术平均粒径的重要性不仅仅体现在数字表示上。它可以影响材料的各种物理特性，包括流动特性、反应性和强度。例如，在制药行业，活性成分的大小会影响药物的溶解速率和生物利用度。较小的颗粒可能更快溶解，从而导致更快的吸收。相反，较大的颗粒可能会提供持续的药物释放。此外，在化妆品等行业中，算术平均粒径在配方中也起着至关重要的作用，这些产品需要特定的质感和外观。例如，磨得更细的粉底会比颗粒较粗的粉底在皮肤上提供更光滑的效果。因此，理解和控制算术平均粒径对于实现所需的产品质量至关重要。在环境科学中，算术平均粒径在研究大气中的气溶胶和颗粒物时也非常重要。这些颗粒的大小可以决定它们的行为、扩散和潜在健康影响。较小的颗粒可能会在空气中悬浮更长时间，从而增加吸入风险，而较大的颗粒则倾向于更快沉降。总之，算术平均粒径(算术平均粒径)是各个科学和工业领域中的一个基本指标。它将颗粒大小数据总结为单一值的能力使其成为工程师、科学家和研究人员的宝贵工具。通过掌握算术平均粒径的概念，专业人士可以增强对材料特性的理解，并改善多个行业中产品的设计和功能。随着技术和方法的进步，准确测量和分析算术平均粒径的重要性只会继续增长，为依赖精确材料特性的创新铺平道路。