Carlos Ponce Corral

Experimental measurements of the flow field around a film-cooled blade leading edge using particle image velocimetry

In this article, particle image velocimetry studies were conducted in a low-speed wind tunnel to investigate the effects of blowing ratio and blade span in terms of the characteristics of the flow field around a film-cooled blade leading edge. The measurements were performed at 20%, 40%, 60%, and 80% of blade span and blowing ratios of M = 0.5, M = 0.75, M = 1, M = 1.5, and M = 2. Velocity, turbulence intensity, and structure of vortices during the interaction between cooling flow and mainstream were analyzed in detail. The analysis shows a significant increase in mainstream velocity at low blowing ratios, M < 1. Peaks of turbulence were observed at low- and high-span locations. Aerodynamical losses are expected at higher blowing ratios due to the formation of secondary vortices near the outgoing jet. These vortices were a consequence of velocity gradients at this zone.

THE IMPACT OF INTEGRATING A GOOD LEVEL OF SERVICE INTO AN INFLEXIBLE SYTEM

At present, the level of service in manufacturing industries has brought about more commitments to satisfy customers with faster deliveries and a larger variety of product quality aspects. For this reason, industries need their material processing systems to respond effectively and self-adapt to market needs. In turn, this may generate high expenses when trying to offer a good level of service in a non-flexible manufacturing system. This investigation will show the case of a Colombian industry with little flexibility and an ease factor analysis fij , according to a variety of products that could be processed by the production line in a fast way.

Proposal and Optimization of a Fuzzy Logic Model for Automobile Injection Diagnosis Using Evolutionary Algorithms

This article presents results for the design of a fuel injection diagnostic strategy for motor vehicles in Ciudad Juarez, Chihuahua. The first part of this research develops a diagnosis model for the injector MD162524, implementing Fuzzy Logic. Characterization of the diagnostic model took five injector operation tests (spray pattern, injector opening cycles at 3 revolution levels, electrical resistance measurements in the injector, injector flow at a constant pressure and activation of two levels of pressure in the injector) and 3 possible outcomes of diagnostic status (good shape, repairable, useless). In the final part of the investigation, two evolutionary algorithms are used as a tool to optimize the response of the model designed, generating data sets with decreasing measurement error.