Prediction of ash content of unloaded coal based on a discrete element simulation
Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volum...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Deng, Jianjun [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013transfer abstract |
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| Schlagwörter: |
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| Umfang: |
5 |
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| Übergeordnetes Werk: |
Enthalten in: Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 - Travassos, Guilherme Horta ELSEVIER, 2015, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:23 ; year:2013 ; number:5 ; pages:647-651 ; extent:5 |
| Links: |
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| DOI / URN: |
10.1016/j.ijmst.2013.08.005 |
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ELV033094055 |
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| 245 | 1 | 0 | |a Prediction of ash content of unloaded coal based on a discrete element simulation |
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| 520 | |a Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. | ||
| 520 | |a Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. | ||
| 650 | 7 | |a Motion equation |2 Elsevier | |
| 650 | 7 | |a Simulation |2 Elsevier | |
| 650 | 7 | |a Discrete element |2 Elsevier | |
| 650 | 7 | |a Ash content forecast |2 Elsevier | |
| 650 | 7 | |a Coal blending |2 Elsevier | |
| 650 | 7 | |a Mathematical model |2 Elsevier | |
| 700 | 1 | |a Zhuo, Jinwu |4 oth | |
| 700 | 1 | |a Shi, Hongxia |4 oth | |
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10.1016/j.ijmst.2013.08.005 doi GBVA2013011000011.pica (DE-627)ELV033094055 (ELSEVIER)S2095-2686(13)00134-1 DE-627 ger DE-627 rakwb eng 620 660 620 DE-600 660 DE-600 330 VZ 004 VZ 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Deng, Jianjun verfasserin aut Prediction of ash content of unloaded coal based on a discrete element simulation 2013transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Motion equation Elsevier Simulation Elsevier Discrete element Elsevier Ash content forecast Elsevier Coal blending Elsevier Mathematical model Elsevier Zhuo, Jinwu oth Shi, Hongxia oth Enthalten in Elsevier Travassos, Guilherme Horta ELSEVIER Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 2015 Amsterdam [u.a.] (DE-627)ELV018624243 volume:23 year:2013 number:5 pages:647-651 extent:5 https://doi.org/10.1016/j.ijmst.2013.08.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 23 2013 5 647-651 5 045F 620 |
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10.1016/j.ijmst.2013.08.005 doi GBVA2013011000011.pica (DE-627)ELV033094055 (ELSEVIER)S2095-2686(13)00134-1 DE-627 ger DE-627 rakwb eng 620 660 620 DE-600 660 DE-600 330 VZ 004 VZ 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Deng, Jianjun verfasserin aut Prediction of ash content of unloaded coal based on a discrete element simulation 2013transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Motion equation Elsevier Simulation Elsevier Discrete element Elsevier Ash content forecast Elsevier Coal blending Elsevier Mathematical model Elsevier Zhuo, Jinwu oth Shi, Hongxia oth Enthalten in Elsevier Travassos, Guilherme Horta ELSEVIER Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 2015 Amsterdam [u.a.] (DE-627)ELV018624243 volume:23 year:2013 number:5 pages:647-651 extent:5 https://doi.org/10.1016/j.ijmst.2013.08.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 23 2013 5 647-651 5 045F 620 |
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10.1016/j.ijmst.2013.08.005 doi GBVA2013011000011.pica (DE-627)ELV033094055 (ELSEVIER)S2095-2686(13)00134-1 DE-627 ger DE-627 rakwb eng 620 660 620 DE-600 660 DE-600 330 VZ 004 VZ 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Deng, Jianjun verfasserin aut Prediction of ash content of unloaded coal based on a discrete element simulation 2013transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Motion equation Elsevier Simulation Elsevier Discrete element Elsevier Ash content forecast Elsevier Coal blending Elsevier Mathematical model Elsevier Zhuo, Jinwu oth Shi, Hongxia oth Enthalten in Elsevier Travassos, Guilherme Horta ELSEVIER Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 2015 Amsterdam [u.a.] (DE-627)ELV018624243 volume:23 year:2013 number:5 pages:647-651 extent:5 https://doi.org/10.1016/j.ijmst.2013.08.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 23 2013 5 647-651 5 045F 620 |
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10.1016/j.ijmst.2013.08.005 doi GBVA2013011000011.pica (DE-627)ELV033094055 (ELSEVIER)S2095-2686(13)00134-1 DE-627 ger DE-627 rakwb eng 620 660 620 DE-600 660 DE-600 330 VZ 004 VZ 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Deng, Jianjun verfasserin aut Prediction of ash content of unloaded coal based on a discrete element simulation 2013transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Motion equation Elsevier Simulation Elsevier Discrete element Elsevier Ash content forecast Elsevier Coal blending Elsevier Mathematical model Elsevier Zhuo, Jinwu oth Shi, Hongxia oth Enthalten in Elsevier Travassos, Guilherme Horta ELSEVIER Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 2015 Amsterdam [u.a.] (DE-627)ELV018624243 volume:23 year:2013 number:5 pages:647-651 extent:5 https://doi.org/10.1016/j.ijmst.2013.08.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 23 2013 5 647-651 5 045F 620 |
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10.1016/j.ijmst.2013.08.005 doi GBVA2013011000011.pica (DE-627)ELV033094055 (ELSEVIER)S2095-2686(13)00134-1 DE-627 ger DE-627 rakwb eng 620 660 620 DE-600 660 DE-600 330 VZ 004 VZ 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Deng, Jianjun verfasserin aut Prediction of ash content of unloaded coal based on a discrete element simulation 2013transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. Motion equation Elsevier Simulation Elsevier Discrete element Elsevier Ash content forecast Elsevier Coal blending Elsevier Mathematical model Elsevier Zhuo, Jinwu oth Shi, Hongxia oth Enthalten in Elsevier Travassos, Guilherme Horta ELSEVIER Special section from the International Conference on Evaluation and Assessment in Software Engineering, 2013 2015 Amsterdam [u.a.] (DE-627)ELV018624243 volume:23 year:2013 number:5 pages:647-651 extent:5 https://doi.org/10.1016/j.ijmst.2013.08.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 23 2013 5 647-651 5 045F 620 |
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Prediction of ash content of unloaded coal based on a discrete element simulation |
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Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. |
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Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. |
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Based on analysis of regularity of stacking coal, discrete element simultaneous simulation is adopted to predict the process of unloading coal, which is proved to be efficient in the prediction of ash content. The results show that the altitude of new irregular coal is equal to the income coal volume divided by area of cabin. The distribution of infinitesimal flow velocity helps to induce the motion equation of infinitesimal element, which provides the mathematical model for computer simulation. Swarm, a computer programming language, is utilized in this study. Adaptive infinitesimal stacking algorithm helps settle the difficulties in attainment of infinitesimal elements. The result of simulation is similar to the actual situation, which can accurately predict the ash contents of current time and cumulative time. Coal movement in the cabin is a new project, the result of which can also be applied to other solid particles and the widespread of the result will be highly valued. |
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