نتایج جستجو برای: continuous caster scheduling

تعداد نتایج: 327733  

Journal: :Journal of rehabilitation research and development 2016
Rene Zepeda Franco Chan Bonita Sawatzky

This study proposes a way to reduce energy losses in the form of rolling resistance friction during manual wheelchair propulsion by increasing the size of the front caster wheels and adjusting the weight distribution. Drag tests were conducted using a treadmill and a force transducer. Three different casters diameter (4 in., 5 in., and 6 in.) and six different mass distribution combinations (ba...

Journal: :Transactions of the Iron and Steel Institute of Japan 1986

Journal: :The Journal of the Australian Mathematical Society. Series B. Applied Mathematics 1994

1999
Peter Cowling Wafa Rezig

In this paper we present a model and a solution approach for integration of steel continuous casters and hot strip mills to provide more responsive steel production at lower unit cost. We describe the production environment and survey existing methods for planning continuous casters and hot strip mills. Since these processes lie at the solid/liquid interface we use “virtual” slabs, correspondin...

2011
B. G. Thomas

Phenomena associated with the turbulent flow of molten steel in a continuous casting mold are responsible for many defects in the final product, including surface slivers, frozen meniscus hooks, captured inclusions that enter the mold from upstream, and mold slag entrapment. Animations of some of these transient flow phenomena are presented from Large-Eddy Simulations of a typical slab caster w...

Journal: :Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 2019

Journal: :International Journal of Production Research 2008

Journal: :IEEE Transactions on Automatic Control 2011

Journal: :Metals 2021

The solidifying steel follows highly nonlinear thermo-mechanical behavior depending on the loading history, temperature, and metallurgical phase fraction calculations (liquid, ferrite, austenite). Numerical modeling with a computationally challenging multiphysics approach is used high-performance computing to generate sufficient training testing data for subsequent deep learning. We have demons...

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