Optimization of Machining Parameters for improved Surface Integrity of AISI H13 Tool Steel
Communication avec acte
Date
2012Résumé
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 parameters provides a better surface integrity of the machined components. AISI H13 tool steel has been applied widely to produce many different types of hot working dies due to its excellent mechanical properties, such as: good resistance to thermal softening, high hardenability, high strength and high toughness. Traditionally, the surface roughness is considered to be the principal parameter to assess the surface integrity of the machined component. However, residual stress becomes an important parameter because it may increase the mould/die lifetime and their ability to withstand more severe thermal and mechanical cyclic loadings (fatigue) during its service. Therefore, significant improvements in the quality of the mould/die can be achieved with the control of the residual stresses induced during its manufacturing. This paper examines the residual stresses induced by dry turning of AISI H13 tool steel. Residual stress was evaluated experimentally in function of the tool geometry, cutting speed, feed and depth of cut. The DOE method developed by G. Taguchi was used to reduce the number of experiments. An modelling and optimization procedure based in Artificial Neural Network (ANN) and a Genetic Algorithm (GA) was developed and applied to modelling the residual stresses and to identify the optimum combination of cutting parameters, which induces low tensile or compressive residual stresses, which contributes to a better surface integrity of machined components.
Fichier(s) constituant cette publication
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Documents liés
Visualiser des documents liés par titre, auteur, créateur et sujet.
-
Article dans une revue avec comité de lectureMELKOTE, Shreyes; GRZESIK, Wit; OUTEIRO, José; RECH, Joël; SCHULZE, Volker; ATTIA, Helmi; M'SAOUBI, Rachid; SALDANA, Christopher; ARRAZOLA, Pedro José (Elsevier, 2017)This paper reviews recent advances in constitutive and friction data and models for simulation of metal machining. Phenomenological and physically-based constitutive models commonly used in machining simulations are presented ...
-
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 acteNOBRE, Joao Paulo; OUTEIRO, José (Elsevier, 2015)An experimental-numerical methodology is applied to evaluate the residual stresses induced by drilling of Ti-6Al-4V alloy. The influence of ultra-high cutting speeds on the residual stress distribution is analysed. These ...
-
A New Methodology for Evaluation of Mechanical Properties of Materials at Very High Rates of Loading Article dans une revue avec comité de lectureDOS SANTOS, Tiago; OUTEIRO, José; ROSSI, Rodrigo; ROSA, Pedro (ELSEVIER, 2017)This paper focuses on the development of a straight forward and inexpensive testing machine, and methodology for the characterization of materials in working conditions similar to those found in metal cutting. Special ...