0000000000193567

AUTHOR

D. Umbrello

Assessment of some relevant local variables in machining using the split-tool technique

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Experimental Comparison of the MIG and Friction Stir Welding Processes for AA 6005 Aluminium Alloy

In this study, the mechanical properties of welded joints of AA 6005 aluminum alloy obtained with friction stir welding (FSW) and conventional metal inert gas welding (MIG) are studied. FSW welds were carried out on a semi-automatic milling machine. The performance of FSW and MIG welded joints were identified using tensile and bending impact tests, as far as the environmental aspects are also included in the discussion. The joints obtained with FSW and MIG processes were also investigated in their microstructure. The results indicate that, the microstructure of the friction stir weld is different from that of MIG welded joint. The weld nugget consists of small grains in FSW than those found…

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Measurement of tool temperatures in orthogonal cutting by means of thermography techniques

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On the Joining of Aluminum Foams and Aluminum Foam Sandwiches

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On the Finite Element Simulation of Secondary Operations on Metallic Foams

Metallic foams have been recently introduced also as industrial materials due to their well known advantages. In fact, their low mass in conjunction with the good thermal and mechanical properties push toward an extensive diffusion in manufacturing industry. In the study here addressed, a very accurate investigation concerning the latter two aspects has been carried out. In fact, a secondary manufacturing process, i.e. the foam bending, has been taken into account. Anyway, all the knowledge derived for sheet metal bending is not directly applicable to the foams. A finite element code has been utilized for modeling the foam behavior during the bending processes and an accurate material rheol…

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On the Computational Error in 3D Simulation of Cutting

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A simple model for predicting the thermal flow on the tool in orthogonal cutting process

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Prediction of Tool Wear in Machining

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Application of the Neural Network technique for reducing springback in Incremental Forming processes

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