Mammoth Silos - Revision history

Admin at 12:49, 12 April 2013

2013-04-12T12:49:36Z

← Older revision		Revision as of 06:49, 12 April 2013
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	[[Category:Silos, Hoppers]]{{Knoppen}}		[[Category:Silos, Hoppers]]{{Knoppen}}
	[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]		[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]
	'''Mammoth Silos''' are ~~largcommonly~~ used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammoth silos is investigated in order to establish the homogenization efficiency of mammoth silos. These [[silos]], where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the [[Screw Conveyors\|screw conveyor]], can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.		'''Mammoth Silos''' are large silos. Commonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammoth silos is investigated in order to establish the homogenization efficiency of mammoth silos. These [[silos]], where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the [[Screw Conveyors\|screw conveyor]], can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.

	The presented homogenization model and the calculation of the homogenization efficiency in mammoth silos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized.		The presented homogenization model and the calculation of the homogenization efficiency in mammoth silos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized.

Admin at 12:47, 12 April 2013

2013-04-12T12:47:25Z

← Older revision		Revision as of 06:47, 12 April 2013
Line 1:		Line 1:
	[[Category:Silos, Hoppers]]{{Knoppen}}		[[Category:Silos, Hoppers]]{{Knoppen}}
	[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]		[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]
	'''Mammoth Silos''' are largcommonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammoth silos is investigated in order to establish the homogenization efficiency of mammoth silos. These [[silos]], where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the [[Screw Conveyors		'''Mammoth Silos''' are largcommonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammoth silos is investigated in order to establish the homogenization efficiency of mammoth silos. These [[silos]], where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the [[Screw Conveyors\|screw conveyor]], can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.
	\|screw conveyor]], can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.

	The presented homogenization model and the calculation of the homogenization efficiency in mammoth silos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized.		The presented homogenization model and the calculation of the homogenization efficiency in mammoth silos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized.

Admin at 12:47, 12 April 2013

2013-04-12T12:47:00Z

← Older revision		Revision as of 06:47, 12 April 2013
Line 1:		Line 1:
	[[Category:Silos, Hoppers]]{{Knoppen}}		[[Category:Silos, Hoppers]]{{Knoppen}}
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	[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]		[[File:Mammoth Silos.jpg\|thumb\|200px\|right\|Mammoth Silos]]
			'''Mammoth Silos''' are largcommonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammoth silos is investigated in order to establish the homogenization efficiency of mammoth silos. These [[silos]], where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the [[Screw Conveyors
			\|screw conveyor]], can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.

	'''Mammoth Silos''' are commonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammothsilos is investigated in order to establish the homogenization efficiency of mammothsilos. These silos, where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the screw conveyor, can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.		The presented homogenization model and the calculation of the homogenization efficiency in mammoth silos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized.

	The presented homogenization model and the calculation of the homogenization efficiency in ~~mammothsilos~~ depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized. This paper focuses on modeling input properties and shows that higher order ARMA(p,q) models are required for describing these input properties, instead of the frequently assumed AR(1) models in literature. It does not concentrate on the comparison of predicted and simulated output variances.

	Conducted simulations of the homogenization efficiency with both ARMA and AR(1) models are found to be very encouraging because the standard deviation of the output properties is reduced on average by a factor 5, i.e., the standard deviation of the output properties is reduced to 20% of the standard deviation of the input properties.

PurplePen19 at 08:33, 21 September 2012

2012-09-21T08:33:35Z

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+[[File:Mammoth Silos.jpg|thumb|200px|right|Mammoth Silos]]

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