Bøger af P. M. S. Hallika

Aluminum although very ductile, but it is having very poor formability which restricts its use in most of the industrial applications which require forming e.g. automobile engineering. In recent years there is an effort to increase the temperature of the material before and during forming. Generally, in any operation large amount of time is consumed in trial and error method and there are high chances that the tools are to be redesigned whenever the desired products are not obtained. So, this trial and error method involves lot of experience and loss of valuable time. To overcome this problem, process modeling by computer simulation called Finite Element Method (FEM) has been introduced which stimulates the actual process and thus saves time and money. The FEM model is constructed in LS-DYNA and after simulating the process results are compared with the experimental ones.

The quantification of biases in surface temperature prediction of the Climate Forecast System version 2(CFSv2) model is characterized over India in general and over North West region of India in particular, during winter months (i.e. December-January-February [DJF]). Statistical analyses such as time series, temperature biases, percentage departure, root mean square error, etc. are carried out to know the bias characteristics of CFSv2 and CFSR.