Catálogo de publicaciones - libros

Industry reorganization and the increase in the automation level of productive processes results in the augmentation of complexity of the interactions among enterprise subsystems related to monitoring and control. Analysis techniques are used to deal with the complexity, design of new productive systems, and improve the performance of existing systems. In this context there is currently a special focus in distributed simulation. It deals with the execution of simulation in physically dispersed computers connected through a network. In order to explore the potential of distributed simulations, this paper proposes a new method for the hierarchical modeling of productive systems proper for distributed environment. The application of the method is illustrated through an example. This method has been successfully applied to a number of case studies in order to confirm its effectiveness.

Machined surface profile and roughness are important parameters in evaluating the quality of a machining operation. They are resulted from the transformation of the complex tool-workpiece displacements involving the dynamics of the machine tool mechanical system, cutting process, and cutting motions. The focus of this study is the fundamental understanding of the surface profile formation during turning and development of regression and neural network (NN) models of surface roughness incorporating the effects of cutting parameters and tool-workpiece displacements. Also, a bifurcated opto- electrical transducer was developed for on-line monitoring of surface roughness based on the scattering of laser beams from machined surface. The feasibility of on-line monitoring was studied by comparing with actual roughness as well as the prediction results of the regression and NN models.