Waste Polyurethane Foam Separation via Near-Infrared Spectroscopy
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Solution Overview
Problem
Current waste polyurethane foam disposal methods, such as incineration and landfill, result in environmental pollution and economic loss, and there is a need for effective separation and recycling of waste polyurethane foams to recover reusable raw materials for new polyurethane production.
Innovation Solution
A method using near-infrared spectroscopy to record spectra of polyurethane samples and classify them into different classes using a machine learning-based algorithm, allowing for separation into distinct streams corresponding to types of isocyanates and polyols, enabling chemical recycling of the separated foams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If incineration and landfill are used for waste polyurethane foam disposal, then waste disposal is achieved, but environmental pollution and economic loss occur
Solution Approach 1:
The patent implements chemical recycling processes that break down waste polyurethane foam into its original monomers and polymers, which are then recovered and reused to produce new polyurethane materials. This transforms the waste disposal problem into a resource recovery system, eliminating both environmental pollution and economic loss associated with incineration and landfill.
2Manufacturing precision
If waste polyurethane foams are sorted and separated into different classes, then chemical recycling yields recovered raw materials with similar properties, but the complexity of the separation process increases
Solution Approach 1:
The patent replaces complex mechanical sorting systems with near-infrared spectroscopy technology that automatically identifies and classifies polyurethane foam types based on their chemical composition. This optical/chemical analysis method achieves precise separation of different foam classes without requiring complex mechanical sorting equipment, thereby maintaining raw material property similarity while reducing process complexity.
Solution Approach 2:
The patent introduces near-infrared spectroscopy as an intermediary tool between the waste polyurethane foam and the chemical recycling process. This intermediary technology provides detailed information about the chemical composition of different foam types, enabling precise classification and separation while simplifying the overall recycling process by providing clear guidance for targeted chemical treatment.
3Measurement precision
If near-infrared spectroscopy and machine learning algorithms are used to classify polyurethane samples, then separation efficiency and accuracy improve, but the complexity of the analysis system increases
Solution Approach 1:
The patent employs near-infrared spectroscopy technology that serves multiple functions: it identifies different types of polyurethane foam, determines their chemical composition, and provides data for machine learning classification. This multi-functional approach achieves high classification accuracy while avoiding the need for multiple separate analysis systems, thereby reducing overall system complexity despite the advanced capabilities required.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the efficient separation and recycling of waste polyurethane foams, allowing for the recovery of raw materials with similar properties, which can replace up to 100% of virgin materials needed for new polyurethane production, thereby reducing waste and economic loss.
Implementation Method 1
for each polyurethane sample of a supply stream comprising polyurethane samples from waste at least one respective spectrum is recorded by near-infrared spectroscopy
Data Source
AI summary
The invention relates to a method for separating waste polyurethane foams, wherein for each polyurethane sample (1) of a supply stream (2) comprising polyurethane samples (1) from waste at least one respective spectrum (3) is recorded, wherein the at least one respective spectrum (3) is recorded by near-infrared spectroscopy, wherein each polyurethane sample (1) of the supply stream (2) is classified by a classification algorithm (5), which classification algorithm (5) is based on machine learning, based on the respective at least one spectrum (3) into a respective class (8a-e) of at least two classes (8a-e), wherein the supply stream (2) comprising polyurethane samples (1) is separated into at least two streams (11a-e) according to the classification into the respective class (8a-e) and wherein each class (8a-e) corresponds to a type of polyurethane. The invention also relates to a system for separating waste polyurethane foams.