Computer aided inspection procedures to support smart manufacturing of injection moulded components

This work presents Reverse Engineering and Computer Aided technologies to improve the inspection of injection moulded electro-mechanical parts. Through a strong integration and automation of these methods, tolerance analysis, acquisition tool-path optimization and data management are performed. The core of the procedure concerns the automation of the data measure originally developed through voxel-based segmentation. This paper discusses the overall framework and its integration made according to Smart Manufacturing requirements. The experimental set-up, now in operative conditions at ABB SACE, is composed of a laser scanner installed on a CMM machine able to measure components with lengths in the range of 5÷250 mm, (b) a tool path optimization procedure and (c) a data management both developed as CAD-based applications

New solutions to a multi-objective benchmark problem of induction heating: an application of computational biogeography and evolutionary algorithms

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Permanent Magnet Heater for Special Applications

none2nononeForzan, Michele; Dughiero, FabrizioForzan, Michele; Dughiero, Fabrizi

Transient Magnetisc FEM Analysis for the Prediction of Electrodynamic Forces in Transformers with Magnetic Shunts

Summary form only given. The magnetic core of a transformer for welding devices has a moving magnetic shunt. The shunt can assume several different positions to modify the flux leakage values. These transformers are made to supply high current values: saturation of the magnetic core leads to strongly deformed voltage and current

DEVICE FOR INDUCTION HEATING OF A BILLET

A device for the induction heating of a billet of metal of high electrical conductivity comprising: a tubular body (4) supporting a plurality of permanent magnets (7p and 7n) arranged inside the tubular body, angularly spaced apart from each other and arranged so as to be alternated with opposite polarities; a support (8) for the billet (2) that is arranged inside the tubular body and faces said magnets; , a motor (10) adapted to rotate the tubular body with respect to the billet in order to induce currents in the billet that circulate within the metal material, obtaining the heating of the billet by the Joule effect. An integral cooling system (13) for the permanent magnets (7p and 7n) is provided, this being carried by the tubular body (4) and suitable for feeding cooling air flows between adjacent permanent magnets (7p and 7n)

Multiphysical-Multiscale FEM Simulation of Contour Induction Hardening on Aeronautical Gears

Since many years, induction hardening has been successfully applied for the heat treatment of components, mainly in the aeronautical and automotive sectors, because of its peculiar advantages like high quality and repeatability of process and its easy automation. A multi-scale multiphysical finite element (FE) analysis is presented in this paper for the prediction of microstructural evolution during induction hardening processes. An ad hoc code has been developed in order to calculate the metallurgical phase changes that occur during heating and cooling steps. This routine has been coupled with commercial FEM codes able to solve the coupled electromagnetic and thermal problem that typically describes the induction heating processes. During the heating, the magnetic field generated by the coil induces currents in the workpiece and as consequence the heating of conductive material by Joule effect. In induction hardening of steels, an external layer of the piece is heated up to the austenitization temperature, then it is cooled down to obtain a layer of martensite. In thermo-metallurgical model, material properties depend on the temperature distribution but also on the microstructure since the material is a mixture of different phases. From the solution of the coupled steady-state, at a given frequency, electromagnetic and transient thermal problem, temperature distribution as well as heating and cooling rates are used for the evaluation of the existing metallurgical phases at every time step. The effect of latent heat of solid-solid phase transformations has been also considered. The model developed has been applied on a real complex case, e.g. an aeronautical spur gear, in order to predict the phase transformation during the whole process. The numerical results will be verified through experimental validation