Feasibility of Acoustic Sorting for Black Materials in Solid Waste Processing

During the last decade sensor based sorting like 3D cameras and Near – Infra – Red (NIR) sorting made a huge technical improvement and enabled its industrial implementation. One of the still remaining problem lies within the sorting of black materials like plastics and rubbers which are very difficult to sort by using conventional visual sensors. This results from absorption of NIR emissions. The black materials have different structures and acoustic emissions when an impact is given. By using the acquisition and analysis of the acoustic signals from the impact in frequency-domain, the characteristics and features of different materials can be extracted and then transferred to the sorting system as sorting criteria. The key device of acoustic signal acquirement and analysis is the Data Acquisition (DAQ) card. With the high development of signal processing technologies, the capacity, compatibility, stability and flexibility of a soundcard is already adequate for industrial measurements and its price is much lower than the professional DAQ cards. The Signal acquirement and analysis systems which are discussed in this paper are therefore based on computer soundcards.

Keywords:
Sensor based sorting, Impact acoustic, Spectrum analysis, LabVIEW

1 Introduction
2 Preparation of the Experiment
2.1 Construction of the Experimental System
2.2 Demand of Software and Device
2.3 The Method of Signal Processing and Analysis
3 Configuration of the Device Parameters
3.1 Settings for FFT Analysis
3.1.1 The Aliasing Effect
3.1.2 The Leakage Effect and Window Functions
3.2 Configuration of Soundcard
4 Process of Experiment and Analysis of Results
4.1 Selection of a suitable Shape for Particles
4.2 The Feature of the Impact Plate
4.3 Analysis of the obtained Results
5 Conclusion




Copyright: © Wasteconsult International
Quelle: Waste-to-Resources 2009 (Mai 2009)
Seiten: 21
Preis inkl. MwSt.: € 10,50
Autor: M.Sc. Jiu Huang
Prof. Dr.-Ing. Thomas Pretz

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