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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

29
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
29
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

77
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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Typical Model Studies01:30

Typical Model Studies

340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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相关实验视频

Updated: Jun 9, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
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面向基于标准的可重复使用生命周期库存数据模型的生成,用于制造工艺的数据模型.

Michael P Brundage1, David Lechevalier2, K C Morris1

  • 1National Institute of Standards and Technology Systems Integration Division Gaithersburg, MD 20814.

Journal of manufacturing science and engineering
|October 25, 2024
PubMed
概括
此摘要是机器生成的。

本研究探讨使用ASTM标准来创建更好的生命周期库存 (LCI) 数据用于环境影响评估. 它将ASTM数据映射到ecoSpold2格式,提高生命周期评估 (LCA) 的准确性.

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科学领域:

  • 环境科学 环境科学
  • 工业生态学 工业生态学
  • 可持续制造 可持续制造 可持续制造

背景情况:

  • 产品生命周期评估 (LCA) 依赖于准确的生命周期库存 (LCI) 数据.
  • 目前的LCI数据往往缺乏制造工艺的细节和准确性.
  • 制造业研究旨在改善环境影响建模和减少.

研究的目的:

  • 调查ASTM E3012-16用于生成LCI数据集的可用性.
  • 将ASTM标准数据映射到LCA的ecoSpold2格式.
  • 为了确定ASTM和ecoSpold2标准之间的重叠和差距.

主要方法:

  • 开发一个过程,从ASTM模型生成LCI数据集.
  • 将映射数据从ASTM E3012-16格式转换为ecoSpold2格式.
  • 两种数据标准的比较分析.

主要成果:

  • 建立了一个将ASTM数据转换为ecoSpold2的方法.
  • 确定了ASTM和ecoSpold2格式之间的重叠和差异.
  • 证明了增强LCI数据生成的潜力.

结论:

  • 可以使用ASTM E3012-16标准来生成用于LCA的LCI数据集.
  • 映射到ecoSpold2提高了制造影响数据的可重复使用性和准确性.
  • 需要进一步努力,才能完全协调全面的LCA的两个标准.