Gary Morphy
VARI-FORM

ABSTRACT
The need for lighter, stronger, more rigid vehicle structures will increasingly require complex hydroformed structural tubes to increase strength, and decrease weight, cost and part count. This effort will increase the use of high strength, low alloy (HSLA) steel, in place of SAE 1006/1008 or 1010 steel. Traditional hydroforming techniques require the higher elongation of the latter materials. An alternative tube hydroforming process has been d ....etc

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EJECTOR EXPANSION REFRIGERATION CYCLE (EERC)
BY
RAGIL V R
S8, MECHANICAL
S.N.M.I.M.T, MALIANKARA

ABSTRACT
The ejector expansion refrigeration cycle (EERC) is a variant of the standard vapor compression cycle in which an ejector is used to recover part of the work that would otherwise be lost in the expansion valve. In initial testing EERC performance was poor, mainly due to thermodynamic nonequilibrium conditions in the ejector motive nozzle. Modifications were made ....etc

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1.ABSTRACT
This proposal relates to conceptual design of “Valved Two Stroke Engine with Extended Expansion” . This is an hybrid of two stroke and four stroke engine.
We know that in a two stroke engine - the four strokes viz. suction, compression, power and exhaust will be completed in each rotation of crank shaft and power is produced for each rotation. Whereas in a four stroke engine the above four strokes are completed in every two rotation and power is produced once in a two rotation. Hence for same siz ....etc

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1. INTRODUCTION

Hydro forming is a relatively new process, which uses water pressure to form complex shapes from sheet or tube material. Design studies suggest that automobiles can be made much lighter by using hydro formed components made of steel. Structural strength and stiffness can be improved and the tooling costs reduced because several components can be consolidated into one hydro formed part.
As the automobile industry strives to make car lighter, stronger and more fuel efficient, it will continue to drive hyd ....etc

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Hydroforming (or hydramolding) is a cost-effective way of shaping malleable metals such as aluminum or brass into lightweight, structurally stiff and strong pieces. One of the largest applications of hydroforming is the automotive industry, which makes use of the complex shapes possible by hydroforming to produce stronger, lighter, and more rigid unibody structures for vehicles. This technique is particularly popular with the high-end sports car industry and is also frequently employed in the shaping of aluminium tubes for bicycle frames, Hydro ....etc

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Prepared by::BHIMRAO




INTRODUCTION
The potential of cryogenic energy storage for automotive propulsion as an alternative to the electrochemical batteries for zero-emission vehicles (ZEV).
It is anticipated that use of an inert cryogen, such as liquid nitrogen(LN2), as an energy storage would not pose any environmental burden, and in particular would avoid the issues of heavy metals pollution associated with lead-acid batteries.

CRYOGENIC POWER CYCLE
The cryogen “fuel” is st ....etc

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hello i want hydroforming topics presentation doc file ....etc

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Abstract
In this work, we proposed a comparative analysis forthe performance-complexity tradeoff of several Hybrid Groupblindmultiuser detectors with polynomial expansion (MuDGroup-Blind PE). Using flop notation, the computacionalcomplexity for the three forms of SBld-MuD-II hybrid detectorbased on polinomial approximation was compared. MCS resultsindicated the superiority of the SBld-MuD-I detector in thepresence of parameters errors estimates and for the SBld-MuD-IIdetector with polinomial approach based on Gershgorin circles.
Keyw ....etc

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please upload a seminar on hydroforming asap..
thanx ....etc

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Sparse Bayesian Learning Of Filters For Efficient Image Expansion

– Image Processing- Dotnet

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. ....etc

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