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相关概念视频

Precipitation Gravimetry01:03

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
Precipitation Processes01:12

Precipitation Processes

The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
Washing, Drying, and Ignition of Precipitates00:52

Washing, Drying, and Ignition of Precipitates

After filtration, the precipitate is washed to remove coprecipitated impurities and any remaining mother liquor. Colloidal precipitates, such as silver chloride, are washed with an electrolyte (such as dilute nitric acid) to prevent the peptization of the precipitate. In the case of slightly soluble precipitates, the wash solution contains a common ion to reduce solubility. Lead sulfate, which is slightly soluble in water, is washed with dilute sulfuric acid. Similarly, wash solutions may be...
Volatilization01:10

Volatilization

Volatilization gravimetry is an analytical technique that measures the mass lost due to the volatilization of the substance. This technique is used to estimate the amount of volatile material in a sample. To perform this method, heat a known amount of the sample to a high temperature in a crucible or other suitable vessel. The volatile substance in the sample evaporates, and the vapor is completely expelled from the crucible either by heating the sample or bubbling a stream of inert gas through...
Specific Gravity of Aggregate01:19

Specific Gravity of Aggregate

Aggregates typically contain pores, which can be either permeable or impermeable. Considering the pores in the aggregates, the specific gravity of aggregates is defined in three different forms, namely, bulk or gross specific gravity, apparent specific gravity, and absolute specific gravity.
Bulk or gross specific gravity is calculated by taking the ratio of the mass of aggregates in the saturated surface-dry state to the total volume that includes both the solids and the voids within the...
Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...

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相关实验视频

Updated: Jun 19, 2026

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

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在挤出过程中预测融质量的方法开发.

Dorte Trienens1, Volker Schöppner1, Peter Krause2

  • 1Kunststofftechnik Paderborn, Paderborn University, 33098 Paderborn, Germany.

Polymers
|May 11, 2024
PubMed
概括

这项研究引入了一种新的模拟模型,用于预测挤出过程中聚合物融质量. 使用机器学习,它将工艺参数与融质量相关联,改善挤出螺丝设计,减少开发时间.

关键词:
机器学习是机器学习.融化的质量质量.聚合物挤出过程中的聚合物挤出工艺.螺丝性能指数是指螺丝的性能指数.模拟模拟是指一个模拟模拟.

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科学领域:

  • 聚合物加工加工的方法
  • 材料科学是一种材料科学.
  • 计算建模计算建模

背景情况:

  • 模拟模型对于设计聚合物挤出机和挤出螺丝至关重要,减少了对物理原型的需求,缩短了开发周期.
  • 目前的模拟工具可以预测温度和压力曲线,但不能准确地确定所产生的质量.
  • 融化质量是聚合物产品性能的一个关键因素,其预测仍然是行业的挑战.

研究的目的:

  • 开发一种能够预测聚合物挤出过程中融质量的新型模拟模型.
  • 建立基于模拟数据的可靠方法来评估和改善融质量.
  • 利用人工智能,特别是机器学习,弥合过程模拟和融化质量预测之间的差距.

主要方法:

  • 利用现有的模拟数据,包括温度和压力曲线,作为输入变量.
  • 开发了一种机器学习模型,特别是线性回归,以预测融化质量.
  • 确定了螺丝性能指数作为一个关键的目标值,将其与材料和热均性相关联.

主要成果:

  • 通过使用模拟结果作为输入,成功构建了线性回归模型.
  • 该模型确定了挤出过程参数与最终融质量之间的相关性.
  • 评估了开发的模型的质量和融质量的预测能力.

结论:

  • 这项研究成功地展示了一种基于模拟的方法,用于预测聚合物融质量.
  • 机器学习与挤出过程模拟的整合为优化聚合物加工提供了强大的工具.
  • 该模型可以在挤出螺丝的设计和提高聚合物行业的整体质量方面发挥重要作用.