Add to ORKGFor sorting scrap metal materials, the ultimate goal is to separate some scrap metal from other scrap metal materials completely. In this paper, Laser-Induced Breakdown Spectroscopy (LIBS) is used to take sample data from cooked aluminum, aluminum, magnesium, stainless steel, iron, copper, and zinc 7 metal samples seven scrap metal samplings with principal component analysis methods of data reduction. And BP neural network is used to the classification of aluminum and non-aluminum metals, Experiment results show that the classification accuracy up to 93.40%. These results provide a method for sorting scrap metal and reference data with BP neural network and LIBS technique, which make online scrap metal sorting get better result
In this paper we face the problem of assessing similarities in the composition of different metallic...
Laser-induced breakdown spectroscopy (LIBS) spectra often include many intensity lines, and obtainin...
Elemental analysis of waste samples collected from steel products manufacturing plant (SPS) located ...
For sorting scrap metal materials, the ultimate goal is to separate some scrap metal from other scra...
In the recycling industry, the use of deep spectral convolutional networks for the purpose of materi...
In order to reduce the elemental species produced in the recycling and melting of aluminum scrap and...
Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel c...
Due to the rising demand and use of light metal alloys, e. g. primary and secondary aluminium in the...
Principal component analysis (PCA) combined with artificial neural networks was used to classify the...
In this study, eight different painted stainless steel 304L specimens were laser-cleaned using diffe...
Laser induced breakdown spectroscopy (LIBS) was tested to examine its applicability to remote and in...
In this paper, the determination of composition of certified samples of austenitic steel alloys was ...
In this paper, by using of laser induced breakdown spectroscopy (LIBS) method, the elemental concent...
In this paper we exploit Artificial Neural Networks (ANN) to model the functional relationship betwe...
In industrial recycling processes secondary metals need to be separated by material grades before th...
In this paper we face the problem of assessing similarities in the composition of different metallic...
Laser-induced breakdown spectroscopy (LIBS) spectra often include many intensity lines, and obtainin...
Elemental analysis of waste samples collected from steel products manufacturing plant (SPS) located ...
For sorting scrap metal materials, the ultimate goal is to separate some scrap metal from other scra...
In the recycling industry, the use of deep spectral convolutional networks for the purpose of materi...
In order to reduce the elemental species produced in the recycling and melting of aluminum scrap and...
Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel c...
Due to the rising demand and use of light metal alloys, e. g. primary and secondary aluminium in the...
Principal component analysis (PCA) combined with artificial neural networks was used to classify the...
In this study, eight different painted stainless steel 304L specimens were laser-cleaned using diffe...
Laser induced breakdown spectroscopy (LIBS) was tested to examine its applicability to remote and in...
In this paper, the determination of composition of certified samples of austenitic steel alloys was ...
In this paper, by using of laser induced breakdown spectroscopy (LIBS) method, the elemental concent...
In this paper we exploit Artificial Neural Networks (ANN) to model the functional relationship betwe...
In industrial recycling processes secondary metals need to be separated by material grades before th...
In this paper we face the problem of assessing similarities in the composition of different metallic...
Laser-induced breakdown spectroscopy (LIBS) spectra often include many intensity lines, and obtainin...
Elemental analysis of waste samples collected from steel products manufacturing plant (SPS) located ...