1,721,004 research outputs found
Abrasive and diffusive tool wear FEM simulation
No full textIn this paper, an adopted abrasive-diffusive wear model is proposed and implemented into a 3D Finite Element code to study the tool wear phenomenon. In particular, the Authors found that FE procedure based only on diffusive mechanism shown some problems when the extension on crater area was investigated. This can be related to the absence of the wear abrasion term on the utilized model. Therefore, in this work, the Authors improved the previous utilized tool wear model introducing into the sub-routine the abrasive term on the basis of Usui’s model. A series of 3D FEM simulations were conducted in order to estimate the tool wear development in turning operations. The adopted abrasive-diffusive wear model will give the possibility of correctly evaluating the tool wear of actual turning operations during both the initial transient phase, where the abrasive mechanism is dominant, and the steady-state phase, in which the diffusion is the main wear mechanism. The FEM results were compared with experimental data, obtained turning AISI 1045 steel with WIDIA P40 inserts, showing a satisfactory agreement
Measurement of tool temperatures in orthogonal cutting by means of thermography techniques
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On the Finite Element Simulation of Secondary Operations on Metallic Foams
No full textMetallic 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 rheology description was utilized based on a porous material model which includes the measured local density. The effectiveness of the utilized model has been verified through the comparison with a set of experimental data
An integrated approach to the design of tube hydroforming processes: artificial intelligence, numerical analysis and experimental investigation
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Application of the Neural Network technique for reducing springback in Incremental Forming processes
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