Abstract: Differences in x-ray absorption coefficients and ash content are used to process coal waste and concentrate rare earth elements (REE) found in coal seams. A method for processing the coal waste includes receiving, by a detector, at least one collimated x-ray beam from an x-ray source that has been passed through a sample of coal waste; determining measurements of at least one x-ray absorption characteristic of the sample based on the received at least one collimated x-ray beam; and identifying a first region in the sample having a concentration of rare earth elements based on the measured x-ray absorption characteristic.

Abstract: Differences in x-ray absorption coefficients and ash content are used to process coal waste and concentrate rare earth elements (REE) found in coal seams. A method for processing the coal waste includes receiving, by a detector, at least one collimated x-ray beam from an x-ray source that has been passed through a sample of coal waste; determining measurements of at least one x-ray absorption characteristic of the sample based on the received at least one collimated x-ray beam; and identifying a first region in the sample having a concentration of rare earth elements based on the measured x-ray absorption characteristic.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.

Abstract: Disclosed herein are methods of sorting coal into multiple fractions based upon x-ray absorption and size characteristics in order to remove rocks and other contaminants of various sizes from coal. The use of such dry processing of coal is desirable as it reduces pollution and transportation costs. The multi-fractional sorting of coal is a more efficient manner for identifying and removing rock and contaminants from coal.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.

Abstract: Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the x-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.

Abstract: A piece of material that includes low-Z elements is classified based on photonic emissions detected from the piece of material. Both XRF spectroscopy and OES techniques, for example, Laser-Induced Breakdown Spectroscopy (LIBS) and spark discharge spectroscopy, may be used to classify the piece of material. A stream of pieces of material are moved along a conveying system into a stimulation and detection area. Each piece of material, in turn, is stimulated with a first and second stimulus, of a same or different type, causing the piece of material to emit emissions, for example, photons, which may include at least one of x-ray photons (i.e., x-rays) and optical emissions. These emissions then are detected by one or more detectors of a same or different type. The piece of materials is then classified, for example, using a combination of hardware, software and/or firmware, based on the detected emissions, and then sorted.

Abstract: A system and process for classifying a piece of material of unknown composition at high speeds, where the system connected to a power supply. The piece is irradiated with first x-rays from an x-ray source, causing the piece to fluoresce x-rays. The fluoresced x-rays are detected with an x-ray detector, and the piece of material is classified from the detected fluoresced x-rays. Detecting and classifying may be cumulatively performed in less than one second. An x-ray fluorescence spectrum of the piece of material may be determined from the detected fluoresced x-rays, and the detection of the fluoresced x-rays may be conditioned such that accurate determination of the x-ray fluorescence spectrum is not significantly compromised, slowed or complicated by extraneous x-rays. The piece of material may be classified by recognizing the spectral pattern of the determined x-ray fluorescence spectrum. The piece of material may be flattened prior to irradiation and detection.

Abstract: A piece of material that includes low-Z elements is classified based on photonic emissions detected from the piece of material. Both XRF spectroscopy and OES techniques, for example, Laser-Induced Breakdown Spectroscopy (LIBS) and spark discharge spectroscopy, may be used to classify the piece of material. A stream of pieces of material are moved along a conveying system into a stimulation and detection area. Each piece of material, in turn, is stimulated with a first and second stimulus, of a same or different type, causing the piece of material to emit emissions, for example, photons, which may include at least one of x-ray photons (i.e., x-rays) and optical emissions. These emissions then are detected by one or to more detectors of a same or different type. The piece of materials is then classified, for example, using a combination of hardware, software and/or firmware, based on the detected emissions, and then sorted.

Abstract: Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the x-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.

Abstract: Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the x-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.

Abstract: A system and process for classifying a piece of material of unknown composition at high speeds, where the system connected to a power supply. The piece is irradiated with first x-rays from an x-ray source, causing the piece to fluoresce x-rays. The fluoresced x-rays are detected with an x-ray detector, and the piece of material is classified from the detected fluoresced x-rays. Detecting and classifying may be cumulatively performed in less than one second. An x-ray fluorescence spectrum of the piece of material may be determined from the detected fluoresced x-rays, and the detection of the fluoresced x-rays may be conditioned such that accurate determination of the x-ray fluorescence spectrum is not significantly compromised, slowed or complicated by extraneous x-rays. The piece of material may be classified by recognizing the spectral pattern of the determined x-ray fluorescence spectrum. The piece of material may be flattened prior to irradiation and detection.

Abstract: A system and process for classifying a piece of material of unknown composition at high speeds, where the system connected to a power supply. The piece is irradiated with first x-rays from an x-ray source, causing the piece to fluoresce x-rays. The fluoresced x-rays are detected with an x-ray detector, and the piece of material is classified from the detected fluoresced x-rays. Detecting and classifying may be cumulatively performed in less than one second. An x-ray fluorescence spectrum of the piece of material may be determined from the detected fluoresced x-rays, and the detection of the fluoresced x-rays may be conditioned such that accurate determination of the x-ray fluorescence spectrum is not significantly compromised, slowed or complicated by extraneous x-rays. The piece of material may be classified by recognizing the spectral pattern of the determined x-ray fluorescence spectrum. The piece of material may be flattened prior to irradiation and detection.

Abstract: Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the x-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.

Abstract: Disclosed herein is a metal sorting device including an X-ray tube, a dual energy detector array, a microprocessor, and an air ejector array. The device senses the presence of samples in the x-ray sensing region and initiates identifying and sorting the samples. After identifying and classifying the category of a sample, at a specific time, the device activates an array of air ejectors located at specific positions in order to place the sample in the proper collection bin.

Abstract: A piece of material that includes low-Z elements is classified based on photonic emissions detected from the piece of material. Both XRF spectroscopy and OES techniques, for example, Laser-Induced Breakdown Spectroscopy (LIBS) and spark discharge spectroscopy, may be used to classify the piece of material. A stream of pieces of material are moved along a conveying system into a stimulation and detection area. Each piece of material, in turn, is stimulated with a first and second stimulus, of a same or different type, causing the piece of material to emit emissions, for example, photons, which may include at least one of x-ray photons (i.e., x-rays) and optical emissions. These emissions then are detected by one or to more detectors of a same or different type. The piece of materials is then classified, for example, using a combination of hardware, software and/or firmware, based on the detected emissions, and then sorted.

Abstract: Disclosed herein is the use of differences in x-ray linear absorption coefficients to process ore and remove elements with higher atomic number from elements with lower atomic numbers. Use of this dry method at the mine reduces pollution and transportation costs. One example of said invention is the ejection of inclusions with sulfur, silicates, mercury, arsenic and radioactive elements from coal. This reduces the amount and toxicity of coal ash. It also reduces air emissions and the energy required to clean stack gases from coal combustion. Removal of said ejected elements improves thermal efficiency and reduces the pollution and carbon footprint for electrical production.