Surface integrity predictions and optimisation of machining conditions in the turning of AISI H13 tool steel
Article dans une revue avec comité de lecture
Surface integrity (SI) plays a very important role in functional performance. It is dependent on a large number of machining parameters. The major concern of industry is to know which combination of machining parameters provides the best SI of machined components. Traditionally, surface roughness is considered to be the principal parameter to assess the SI of a machined part. However, residual stresses also become an important parameter because they control the lifetime of components (moulds, dies, etc.) and their abilities to withstand severe thermal and mechanical cyclic loadings (fatigue) during service. Therefore, significant improvements in the quality of the mould/die can be achieved with the control of residual stresses and surface roughness, both induced by machining. This paper examines both residual stresses and surface roughness induced by the dry turning of AISI H13 tool steel with different hardnesses. SI parameters were evaluated experimentally with respect to tool geometry, cutting speed, feed and depth of cut. A modelling and optimisation procedure based on artificial neural network (ANN), response surface methodology (RSM) and genetic algorithm (GA) approaches was developed and applied to identify the optimum combination of cutting parameters, leading to the best SI for machined components.
Files in this item
Showing items related by title, author, creator and subject.
Communication avec acteOUTEIRO, José (ENISE-CETIM, 2012)The surface integrity plays a very important rule in this functional performance, being dependent of a large number of machining parameters. The major concern of the industry is to know which combination of machining ...
On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting Communication avec acteZHANG, Yancheng; OUTEIRO, José; MABROUKI, Tarek (Elsevier, 2015)Johnson-Cook constitutive model is still the most used model in metal cutting simulation, although several drawbacks reported in the literature. A high number of Johnson-Cook model parameters can be found in the literature ...
Communication avec acteNASR, Mohamed N.A.; OUTEIRO, José (Elsevier, 2015)Improving the corrosion resistance of magnesium alloys has gained special focus in recent years, and cryogenic machining has been one of the successfully used techniques. The current study presents a sensitivity analysis ...
Communication avec acteM'SAOUBI, Rachid; CHANDRASEKARAN, H.; COULON, Bertrand; MARQUES, M.J.; OUTEIRO, José (2008)Machinability enhancement of hot work tool steels can be achieved intrinsically through tailoring of alloying elements and steel processing route but also externally through the use of adequate tooling. The aim of the ...
Orthogonal cutting simulation of OFHC copper using a new constitutive model considering the state of stress and the microstructure effects Communication avec acteDENGUIR, Lamice; OUTEIRO, José; FROMENTIN, Guillaume; VIGNAL, Vincent; BESNARD, Rémy (Elsevier, 2016)This work aims to develop an orthogonal cutting model for surface integrity prediction, which incorporates a new constitutive model of Oxygen Free High Conductivity (OFHC) copper. It accounts for the effects of the state ...