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Related Concept Videos

Microbial Bioremediation of Plastics01:28

Microbial Bioremediation of Plastics

Polyethylene terephthalate (PET) is a synthetic polymer widely utilized in the packaging industry, particularly for bottles and containers. Due to its chemical stability and durability, PET accumulates in the environment, contributing significantly to plastic pollution. It comprises repeating units of terephthalic acid and ethylene glycol, resulting in a semi-crystalline structure that is resistant to natural degradation processes.A notable breakthrough in plastic biodegradation came with the...
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Laminar Flow01:27

Laminar Flow

Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
Plastic Behavior01:21

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A material's elastic behavior is characterized by the disappearance of stress once the load is removed, allowing the material to return to its original state. However, when stress surpasses the yield point, yielding commences, marking the onset of plastic deformation or permanent set. This change from elastic to plastic behavior is influenced by the peak stress value and the duration before the load is removed. An intriguing observation occurs when a specimen is loaded, unloaded, and reloaded.
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Typical Model Studies

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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Related Experiment Video

Updated: Jul 13, 2026

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
09:06

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties

Published on: June 7, 2020

High-resolution dynamic material flow analysis to elucidate plastic flows in waste management systems.

Yiwen Zhang1, Zhanyun Wang1, Masahiro Oguchi2

  • 1Empa - Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, St. Gallen, Switzerland.

Waste Management (New York, N.Y.)
|July 11, 2026
PubMed
Summary

This study introduces a dynamic probabilistic material flow analysis (DPMFA) model to track plastic waste in Japan. The model highlights packaging as a key source for mechanical recycling, crucial for a circular plastic economy.

Keywords:
Material flow analysisMechanical recyclingPlastic collection and sortingPlastic waste managementPost-consumer waste

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Area of Science:

  • Environmental Science
  • Materials Science
  • Chemical Engineering

Background:

  • Transitioning to a circular plastic economy necessitates detailed understanding of waste streams.
  • Accurate assessment of plastic recycling potential requires granular data on material flows.

Purpose of the Study:

  • To develop and apply a dynamic probabilistic material flow analysis (DPMFA) model for assessing plastic flows.
  • To provide high granularity at the end-of-life stage for plastic waste in Japan.
  • To support the prioritization of waste flows for enhanced collection and recycling.

Main Methods:

  • Dynamic probabilistic material flow analysis (DPMFA) model.
  • Parameterization for eight plastic polymers in Japan (1990-2023).
  • Inclusion of 47 product categories, 17 waste collection pathways, and 10 sorting systems.

Main Results:

  • In 2023, post-consumer waste constituted 70% of mechanical recycling inputs.
  • The packaging sector contributed 77% of these inputs.
  • Evidence suggests recycled plastics are often downcycled or repurposed into different applications.

Conclusions:

  • The DPMFA model effectively evaluates the quantity, separability, and recyclability of plastic waste flows.
  • Insights gained can guide strategic decisions for improving plastic waste management and recycling infrastructure.
  • The study underscores the importance of detailed waste stream analysis for advancing a circular plastic economy.