A new face drilling rig for narrow tunnels and ... - Advanced Mining

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calculation methods , the calculation of the drive power is not accessible with an analytical observation. Effects such as entrapment or destruction of good in the gap between screw pitch and tube, which significantly increase the energy demands for conveyance, are too manifold to be captured with analytical observations. Therefore, like in other operation areas of screw conveyors (horizontal to slightly inclined and vertical), the determination of the calculation guidelines calls for semi-empirical methods to picture processes that are difficult to capture within the layout method. The basis for a semi-empirical method is an analytical base approach, which is expanded by one or several empirically determined parameters. The empirical parameters reflect the influences that cannot be captured analytically, subjected to the known parameters. As principle formulas for the two parameters, reviewed within the framework of this project, volume flow and drive power, the formulas known from DIN 15262 [5] are used, and are correspondingly adapted based on theoretical test done in previous projects. In order to reliably determine the empirical parameters for the entire application area, a sufficient amount of data sets for the parameters is needed. The needed datasets are generated with three different methods: Experimental tests in a large-scale plant, simulations according to the discrete elements method and calculation with numerical methods, which were developed in preceding projects. Through this division of data gathering to different methods it is possible to document all areas of the application area with data sets. The obtained data sets are examined in detail with statistical methods. In an initial step the influences of the individual parameters are interpreted descriptively with regard to the type of their influence. Building on this, the second step incorporates these insights into the models for empirical parameters, which are determined through regression calculations. The results are simple formulas, which describe the correlations of the influencing factors on the parameters and allow for a reliable forecast. Together with the analytical base approach it is possible to calculate the possible volume flow and the needed drive power. Issue 04 | 2010 TRANSFER OF TECHNOLOGY Bibliography [1] Vollmann, A.: Untersuchung der Schüttgutförderung in geneigten Schneckenförderern; Dissertation, München, Technische Universität München, 2000 [2] Günthner, W. A.; Fottner, J.; Rong, O.: Empirische Entwicklung von Kenngrößen zur Auslegung von Hochleistungs- Schneckenförderern für Schüttgut; Herbert Utz Verlag, München, 2002 [3] Günthner, W. A.; Blomeyer, N.; Rong, O.: Entwicklung von praxistauglichen Auslegungsverfahren für Schüttgut- Hochleistungs-Schneckenförderer, Forschungsbericht, Lehrstuhl für Fördertechnik Materialfluss Logistik, Technische Universität München, Garching bei München, 2006 [4] Blomeyer, N.: Erweiterung und Verifikation von Auslegungsverfahren für Hochleistungs-Schneckenförderer für Schüttgut; Dissertation, München, Technische Universität München, 2008 [5] DIN 15262:1983-01: Stetigförderer - Schneckenförderer für Schüttgut - Berechnungsgrundsätze, Deutsches Institut für Normung e.V. [6] Rong, O.: Auslegungsverfahren für Hochleistungs- Schneckenförderer; Dissertation, München, Technische Universität München, 2004 [7] Gabler, H.: Theoretische und experimentelle Untersuchung der Förderung in steilen und senkrechten Schneckenförderern; Dissertation, München, Technische Universität München, 1981 [8] Greinwald, K.: Untersuchung der Förderung leicht fließender Schüttgüter im senkrechten Schneckenförderer unter Berücksichtigung der Zwischenlager; Dissertation, München, Technische Universität München, 1994 [9] Fottner, J.: Auslegung und wirtschaftlicher Einsatz von Hochleistungs-Schneckenförderern; Dissertation, München, Technische Universität München, 2002 [10] Katterfeld, A.; Krause, F.: Funktionsanalyse eines Rohrkettenförderers mit Hilfe der Diskrete Elemente Methode (DEM); In: Tagungsband Fachtagung Schüttgutfördertechnik 2004, Technische Universität München, Garching bei München, 2004 [11] FEM 2181:1989: Spezifische Schüttguteigenschaften bei der mechanischen Förderung, Fédération Européenne de la Manutention www.advanced-mining.com 56
Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner Technical University Munich fml- Institute for Materials Handling, Material Flow, Logistics Issue 04 | 2010 Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner Boltzmannstraße 15, 85748 Garching b. München | www.fml.mw.tum.de | TRANSFER OF TECHNOLOGY Dipl.-Ing. Stefan Rakitsch Symbols Unit Name Symbols Unitt Name Technical University Munich fml- Institute for Materials Handling, Material Flow, Logistics Dipl.-Ing. Stefan Rakitsch Boltzmannstraße 15, 85748 Garching b. München Tel.: +49 (0)89 289 15923 Fax: +49 (0)89 289 15922 | rakitsch@fml.mw.tum.de | www.fml.mw.tum.de | A [m²] Cross-section area g [m/s²] Gravitational acceleration D [m] Screw diameter i [-] Number of data sets F N [N] Normal force n [1/s] Rotation speed H [m] Conveyance height k [-] Control variable I M [kg/s] Mass flow v ax [m/s] Axial velocity of material IV [m³/s] Volume flow v G [m/s] Absolute velocity of material I Wirk [A] Recieved active current β [°] Inclination of Screw conveyor L [m] Coveying length ζ [-] Coefficient of velocity P [W] (Conveying-)power ζ* [-] Empirical / Simulated / Determined Coefficient of velocity MQF [-] Mean square error η [-] Motor- and gear efficiency P Hub [W] Lifting power λ [-] Progress Resistance coefficient / coefficient of power P Leer [W] Idling drive power λ* [-] Empirical/ Simulated / determined coefficient of power PReib [W] (Fictitious) Total friction power λh [-] Progress Resistance coefficient for horizontal and slightly inclined screw conveyors S [m] Screw pitch µ S [-] Friction coefficient against screw spiral and tuber Ueff [U] Effective voltage µ i [-] Inner friction coefficient of bulk material a [m/s²] Acceleration ρ [kg/m³] Bulk density d [m] Shaft diameter φ [-] Filling level g [m/s²] Gravitational acceleration ω G [1/s] Angular velocity of material www.advanced-mining.com 57
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EDUCATION NEWS & REPORTS alljig ®
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Page 7 and 8: HYDROMETER ANALYSIS The hydrometer
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Page 17 and 18: • Layout an Operation Time: Based
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Page 41 and 42: Bibliography [1] Uetz, H.: Abrasion
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The consistently positive reactions
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Three heavy chain dredgers, a big w
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concrete crusher, demolition and so
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across an area of 125,000 square me
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Following the live demonstrations,
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Also new in the 390D L‘s implemen
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Specification Comparison 390d L / 3
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The tunnel contractor consortium Co
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2011 THE AMS-EVENT CALENDER Issue 0
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Issue 04 | 2010 EVENTS FOR MORE INF
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Rohstoffversorgungstechnik Rohstoff
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