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Ghosh, A. K.
- Influence of Heat Treatment on Tool Wear
Abstract Views :128 |
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Authors
Affiliations
1 Met Engg. Dept., IN
2 M. E. Dept., Jadavpur University, IN
1 Met Engg. Dept., IN
2 M. E. Dept., Jadavpur University, IN
Source
Journal of the Association of Engineers, India, Vol 62, No Spl (1987), Pagination: 82-82Abstract
The wear behaviour of H.S.S. (18:4:1) has been studied as a function of the red hardness developed after single tempering treatment with and without the influence of magnetic field. The study depicts the role of toughness, an engineering property, as influenced by the microstructure in determining the wear of H.S.S. Austenitizing at 1260°C followed by oil quenching and then tempering at 560°C for 75 minutes gives a hardness value of 780 (VPN). It shows comparatively minimum wear than the case when tempering is done at 500°C for 60 minutes and under magnetic field of 10K. oe follows oil quenching to give a hardness value of 810 (VPN). It is noticed that a sample consisting of martensile along with carbide and comparatively larger amount of retained austenite exhibits lower wear.
- A Statistical Model for Flood Discharges of the Damodar River
Abstract Views :174 |
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In the present paper, the annual maximum flood flow series for a period 1934 to 1961 of the river Damodar are analysed. Based on Gumbel's suggestion that the distribution of extreme values was appropriate for the analysis of annual maximum flood flow, the magnitudes of flood discharge for various return periods were calculated. Hershfield technique was applied to calculate the probable maximum flood, but the result obtained by this method was not found to be useful.
The formulation of a transition probability matrix shows that the flood series does not possess a significant serial correlation. Hence, a random number model with a definite range and definite mean was selected and with the help of this model flood flows for future years were generated synthetically.
Authors
Affiliations
1 University of Kalyani, IN
1 University of Kalyani, IN
Source
Journal of the Association of Engineers, India, Vol 50, No 2 (1975), Pagination: 51-55Abstract
Flood flow analysis is an important aspect of any water resources project. Flood being a hydrologic event, can be thought to be the outcome of a stochastic process. Hence, along with frequency analysis, one must also examine the sequential relationship of a flood series.In the present paper, the annual maximum flood flow series for a period 1934 to 1961 of the river Damodar are analysed. Based on Gumbel's suggestion that the distribution of extreme values was appropriate for the analysis of annual maximum flood flow, the magnitudes of flood discharge for various return periods were calculated. Hershfield technique was applied to calculate the probable maximum flood, but the result obtained by this method was not found to be useful.
The formulation of a transition probability matrix shows that the flood series does not possess a significant serial correlation. Hence, a random number model with a definite range and definite mean was selected and with the help of this model flood flows for future years were generated synthetically.