The Experts below are selected from a list of 144 Experts worldwide ranked by ideXlab platform
Susumu Shima - One of the best experts on this subject based on the ideXlab platform.
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experiment on metal powder compaction by differential speed rolling
Journal of Materials Processing Technology, 2001Co-Authors: Tetsuya Hirohata, Saiji Masaki, Susumu ShimaAbstract:Abstract When differential speed rolling is applied to powder roll compaction, the state of stress in the powder or Strip between the rolls may be different from that found in conventional powder rolling. Differential speed rolling of electrolytic copper powder is conducted under the condition of carefully controlled powder feed rate. Roll speed ratios are changed in the range 1.00–1.33 by choosing combinations of the number of roll revolutions. The rolling load increases on increasing the ratio of powder feed volume to Strip speed and is slightly smaller compared with that of conventional rolling. The decrease in the rolling load is about 25% of what is found in conventional rolling, when the roll speed ratio is 1.33. The relative density of the Strip is about 15% larger than that of conventional rolling under the same rolling load. The Strip Thickness increases with an increase in the rolling load for each roll gap, regardless of the roll speed ratio.
Tetsuya Hirohata - One of the best experts on this subject based on the ideXlab platform.
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experiment on metal powder compaction by differential speed rolling
Journal of Materials Processing Technology, 2001Co-Authors: Tetsuya Hirohata, Saiji Masaki, Susumu ShimaAbstract:Abstract When differential speed rolling is applied to powder roll compaction, the state of stress in the powder or Strip between the rolls may be different from that found in conventional powder rolling. Differential speed rolling of electrolytic copper powder is conducted under the condition of carefully controlled powder feed rate. Roll speed ratios are changed in the range 1.00–1.33 by choosing combinations of the number of roll revolutions. The rolling load increases on increasing the ratio of powder feed volume to Strip speed and is slightly smaller compared with that of conventional rolling. The decrease in the rolling load is about 25% of what is found in conventional rolling, when the roll speed ratio is 1.33. The relative density of the Strip is about 15% larger than that of conventional rolling under the same rolling load. The Strip Thickness increases with an increase in the rolling load for each roll gap, regardless of the roll speed ratio.
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characteristics of electrolytic copper powder compaction by differential speed rolling
Jsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing, 1997Co-Authors: Saiji Masaki, Tetsuya Hirohata, Toshio HagaAbstract:Differential speed rolling of electrolytic copper powder is conducted under conditions of carefully controlled powder feed volume. Roll speed ratios are changed in the range of 1.00 to 1.50 by choosing different combinations of roll diameters. The rolling load increases with an increase in the ratio of the powder feed volume to the Strip speed. The Strip Thickness increases with an increase in the rolling load for each roll gap, regardless of the roll speed ratio. The relative density of the Strip is greater than that achieved using conventional powder rolling.
Jin Tong - One of the best experts on this subject based on the ideXlab platform.
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spline finite Strip analysis of forming parameters in roll forming a channel section
Journal of Materials Processing Technology, 2005Co-Authors: Weiping Lu, Jin TongAbstract:A B3-spline finite Strip method was built. The method was employed to investigate the effects of forming parameters, such as the bend angle increment, the Strip Thickness, the material yield limit, the flange length, the web width, and the distance between two roll stations on the peak longitudinal edge membrane strain developed in the cold roll forming process of a channel section. The peak longitudinal edge membrane strain increases as the bend angle increment, the Strip Thickness, the material yield limit, the flange length, and the web width increase, but decreases as the distance between two roll stations increases. The results from the investigation are consistent with the phenomena observed in the previous roll forming practice.
Saiji Masaki - One of the best experts on this subject based on the ideXlab platform.
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experiment on metal powder compaction by differential speed rolling
Journal of Materials Processing Technology, 2001Co-Authors: Tetsuya Hirohata, Saiji Masaki, Susumu ShimaAbstract:Abstract When differential speed rolling is applied to powder roll compaction, the state of stress in the powder or Strip between the rolls may be different from that found in conventional powder rolling. Differential speed rolling of electrolytic copper powder is conducted under the condition of carefully controlled powder feed rate. Roll speed ratios are changed in the range 1.00–1.33 by choosing combinations of the number of roll revolutions. The rolling load increases on increasing the ratio of powder feed volume to Strip speed and is slightly smaller compared with that of conventional rolling. The decrease in the rolling load is about 25% of what is found in conventional rolling, when the roll speed ratio is 1.33. The relative density of the Strip is about 15% larger than that of conventional rolling under the same rolling load. The Strip Thickness increases with an increase in the rolling load for each roll gap, regardless of the roll speed ratio.
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characteristics of electrolytic copper powder compaction by differential speed rolling
Jsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing, 1997Co-Authors: Saiji Masaki, Tetsuya Hirohata, Toshio HagaAbstract:Differential speed rolling of electrolytic copper powder is conducted under conditions of carefully controlled powder feed volume. Roll speed ratios are changed in the range of 1.00 to 1.50 by choosing different combinations of roll diameters. The rolling load increases with an increase in the ratio of the powder feed volume to the Strip speed. The Strip Thickness increases with an increase in the rolling load for each roll gap, regardless of the roll speed ratio. The relative density of the Strip is greater than that achieved using conventional powder rolling.
Nima Nonejad - One of the best experts on this subject based on the ideXlab platform.
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dynamic model averaging for practitioners in economics and finance the edma package
Journal of Statistical Software, 2018Co-Authors: Leopoldo Catania, Nima NonejadAbstract:Raftery, Karný, and Ettler (2010) introduce an estimation technique, which they refer to as dynamic model averaging (DMA). In their application, DMA is used to predict the output Strip Thickness for a cold rolling mill, where the output is measured with a time delay. Recently, DMA has also shown to be useful in macroeconomic and financial applications. In this paper, we present the eDMA package for DMA estimation implemented in R. The eDMA package is especially suited for practitioners in economics and finance, where typically a large number of predictors are available. Our implementation is up to 133 times faster than a standard implementation using a single-core CPU. Thus, with the help of this package, practitioners are able to perform DMA on a standard PC without resorting to large computing clusters, which are not easily available to all researchers. We demonstrate the usefulness of this package through simulation experiments and an empirical application using quarterly US inflation data.
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dynamic model averaging for practitioners in economics and finance the edma package
arXiv: Computation, 2016Co-Authors: Leopoldo Catania, Nima NonejadAbstract:Raftery, Karny, and Ettler (2010) introduce an estimation technique called Dynamic Model Averaging (DMA). In their application, DMA is used to the problem of predicting the output Strip Thickness for a cold rolling mill, where the output is measured with a time delay. Recently, DMA has also shown to be very useful in macroeconomic and financial applications. In this paper, we present the eDMA package for DMA estimation in R, which is especially suited for practitioners in economics and finance. Our implementation proves to be up to 133 times faster then a standard implementation on a single-core CPU. Using our package, practitioners are able perform DMA on a standard PC without needing to resort to clusters with large memory. We demonstrate the usefulness of this package through some simulation experiments and an empirical application using quarterly inflation data.
