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EN
This study deals with the application of soft computing techniques viz., response surface methodology, artificial neural network, radial basis function network and support vector regression in analyzing and predicting the ram tensile and shear strengths of aluminium 5052–stainless steel 316 explosive clads, having different interlayer. 60 explosive cladding experiments were conducted, based on central composite design of experiments, by varying the process parameters viz., loading ratio (mass of the explosive/mass of the flyer plate: 0.6–1.0), distance of separation (6–10 mm), preset angle (6°–8°) and interlayer (aluminium 1100/pure copper/stainless steel 304). The responses viz., ram tensile and shear strengths obtained from 90% of the experiments and trial experiments are used for training artificial neural network, radial basis function network and support vector regression in a Matlab environment, altering training algorithms and number of neurons in the hidden layer. The remaining 10% of the experimental outcome is used for testing the developed models. Likewise in RSM, regression equations are generated for the responses, based on analysis of variance. All the four models are capable of predicting the ram tensile and shear strength effectively, as the average percentage deviation with the experimental outcome are less than 10%. Of the three models, artificial neural network model predicts the ram tensile strength and shear strength in a better manner.
2
EN
The aim of the research outlined in this paper is to evaluate thermal spray processes like Atmospheric Plasma Spraying (APS) for the protection and upgrade of aluminium particularly for the low cost and flexible manufacture of automotive components. A great demand for automobile fuels due to increased rate of consumption and necessity of provide clean air environment in coming years. The automobile industry not only to find alternative fuel sources but also looking for fuel economic and eco friendly vehicles. Thermal spray coatings are depositions of materials which has been melted or plasticized immediately prior to projection onto the substrate. The thermal barrier coating is done on the piston for reducing the emission and thereby improving the efficiency of the internal combustion engine. The Alumina and Silicon Carbide particle were used as coating materials and the effect of the both on the emission and mileage is reported in this paper.
EN
Aluminium and copper plates are explosively cladded with Al 5052, copper and SS 304 interlayers and the results are reported. While continuous molten layer is obtained in conventional explosive clads, a smooth interface, devoid of defects, is obtained in interlayer laced explosive clads. The mechanical properties of interlayer laced explosive clads confirm higher kinetic energy utilization leading to stronger clad. Ram tensile, shear strengths and Vickers microhardness of Al–Cu explosive clad with different interlayers are higher than conventional two layer clad.
EN
Explosive cladding of dissimilar plates is achieved by the intensive deformation occurring at high pressure and temperature generated from the detonating explosive at the collision interface. The interface morphology, with its characteristic undulations, is dictated by the extent of kinetic energy spent at the mating interface. Nevertheless, the inter-metallic compound formation at the mating interface weakens the joint. The prediction of the probability of inter-metallic formation at aluminum-SS 304, copper-SS 304 and titanium-SS 304 explosive cladding interfaces is attempted in this study by employing Miedema model. Granular explosives (detonation velocity: 4000 m/s) and parallel plate combination were employed with uni-loading ratio (standoff distance-5 mm). The influence of chemical energy in determining the bond strength of explosive clads is discussed as well.
PL
Zgrzewanie wybuchowe blach z metali o zróżnicowanych właściwościach jest osiaąnięte poprzez intensywne odkształcenie pod wysokim ciśnieniem i temperaturze genrowane detonacja ładunku wybuchowego oraz kolizja materiałów łączonych. Morfologia warstwy połączenia scharakteryzowana jest zafalowaniami, które są determinowane przez zewnętrzną energię kinetyczną. Formujące się w strefie połącznia fazy międzymetaliczne prowadzą do osłabienia połączenia. W prowadzonych analizach wykorzystano model Miedemy do przewidzenia prawdopodobienstwo formowania się stref przetopień w platerach z aluminium-SS 304, miedź-SS 304 i tytan-SS 304. W modelu obliczeniowym przyjęto układ równoległy płyt (odległość płyt - 5 mm) oraz prędkość detonacji: 4000 m/s. Omówiono również wpływ energii chemicznej na wytrzymałość połączenia układu platerów zgrzewnych wybuchowo.
EN
On 26 December 2004, a tsunami severely affected almost all the coastal villages of Kanyakumari District, India. It was one of the worst affected coastal sectors of South India. An attempt has been made here to assess the impact of the tsunami hazard on coastal landforms and the level of inundation using GIS techniques. The areas of inundation were surveyed and mapped by fixing regular transects along the coastal regions. The percentage of inundated area in the total area was estimated. It was found that inundation was higher on low-lying coasts and relatively less on elevated coasts. In some cases, the extent of inundation was a few kilometres in relation to other coasts, but the percentage of inundated area in the total coastal area was high. The extent of inundation along the study area varied from 50 m to 450 m. Inundation was minimal in coastal villages like Kanyakumari, Agastheeswaram, Madhysoodhanapuram and Dharmapuram, but extensive at Colachel. The percentage of inundated area in the total area ranges from 8% (Dharmapuram) to 39% (Colachel). The degree of inundation was controlled by coastal geomorphological features such as sand dunes, cliffs, coastal vegetation, nature and configuration of the beach, not to mention the angle and velocity of the invading tsunami surge.
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