neuron 发表于 2025-3-30 11:52:58
Computation of Properties for a Friction Stir Welded 6082 Aluminum Alloy Using Artificial Neural Nee base metal. ANN model has been developed based on BP Neural Network to predict the UTS and hardness of aluminum alloy in FSW. Results show that raised tool geometry gives 6% better desirable properties than the recced tool geometry.名词 发表于 2025-3-30 13:58:06
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Various Geometrical Parameters of the Topography Elements of the Honeycomb Films from PHB and Its Cthat by variation of the type of polymers and their concentration it is possible to influence the structure of the polymer film surface. This provides an opportunity to further study the effect of surface roughness in various applications.eucalyptus 发表于 2025-3-31 02:58:10
Low-Temperature Reduction Processing of Copper Slag,blem has not been practically solved in any country around the world. Slags, accumulating around metallurgical plants, create substantial environmental issues for enterprises. The tightening of environmental legislation and the consequent payment of significant fines force enterprises to seek alternative solutions.公共汽车 发表于 2025-3-31 07:08:16
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Computation of Properties for a Friction Stir Welded 6082 Aluminum Alloy Using Artificial Neural Neoing Friction Stir Welding (FSW) processes. Properties like Ultimate Tensile Strength (UTS) and microhardness of 4-mm-thick 6082 aluminum alloy butt weld joints have been investigated at three different rotation speeds and traverse rates. Tensile and microhardness tests have been carried out on 36 w最有利 发表于 2025-3-31 15:03:11
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Phased Array Ultrasonic Evaluation for Defect Characterization in Aerospace Grade Maraging Steel MD the challenging FoS, the materials used for pressure vessels are expected to have a very high specific strength. It is important to critically evaluate the internal discontinuities present in a material. Radiographic testing (RT) and ultrasonic testing (UT) have limitations in precise detection andtransdermal 发表于 2025-4-1 01:19:35
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