Pablo Daniel Druetta

Pablo Daniel Druetta
Argentina
Pablo will start his Ph.D. Studies in September 2014 at University of Groningen, the purpose of his work is to study the Enhanced Oil Recovery (EOR) method based on the injection of polymers and develop a numerical simulator to study the tertiary recovery in oil field, and moreover analyze the ways to improve its production efficiency, setting the injector and producer well in specific places and in doing so, making the residual oil in the reservoir at the end of the operation to be reduced to its minimum value and hence maximizing its recovery efficiency.

 

 
Andrés Omar Olguín

Andrés Omar Olguín
Argentina
Omar started his Ph.D. studies on September 2013 at Saarland University (UdS), his research interest include Advanced cast iron materials with nodular and lamellar graphite precipitates, whose geometry will be exactly defined, are essential for new generation, off-shore wind-power plants. In this project, an advanced classification routine based on 3D tomographic data (FIB/SEM Tomography) will be developed for graphite morphology in cast iron. A data mining tool for classification of 2D images will be directly trained by the highly reliable data from evaluating the virtual sections of tomographically investigated volumes. In this case the 2D classification procedure benefits from no longer being empirical and will also fulfill the industry’s strongly growing requirements for reliable materials quality control.

 

 
Ana Beatriz Broering Chaar

Ana Beatriz Broering Chaar
Brazil
Ana has a bachelor degree in Materials Engineering, her Ph.D. started on September 2013 at Linköping University (Sweden) and Saarland University (UdS) her interest is to investigate TiAlN process parameters by means of PVD Cathodic Arc Deposition, with focus on the influence of the cathode magnetic field intensity on the coating grain size and morphology. It is known that grain size affects the materials mechanical properties, thus understanding and controlling the nucleation and growth of the coating makes it possible to obtain certain tribological behavior and extend the tool life expectancy over different machining operations.

 

 
Igor Eduardo Silva Vieira

Igor Eduardo Silva Vieira
Brazil
Igor started his Ph.D. studies on August 2013 at Colorado School of Mines, his research interests are High strength heavy gauge plate steels for structural applications are used in the construction of buildings, bridges, sport stadia, power plants, etc. In order to reach optimized properties (i.e. hardness, yield and tensile strength, toughness, etc.), these steels are submitted to a quenching process followed by a tempering treatment. However, due to the material thickness, different cooling rates are obtained throughout the thickness of the material and several grades do not fully harden to martensite resulting in a material containing a mixture of martensite and bainite. Published relationships for the tempering response of high strength steels apply to fully martensitic microstructures. Therefore, it would be desirable to model the tempering response of martensitic, bainitic, and mixed microstructures in order to allow the tempering conditions to be optimized for mixed microstructures. Design of industrial compositions and processing routes could thereby be done more effectively.

 

 
Sari Octaviani

Sari Octaviani
Indonesia
Sari has a master Master of Materials Engineering, now she will start her Ph.D. studies in September 2014 at University Of Southampton She will work on the development of the model of low cycle fatigue initiation cracking and growth behaviour within welds that has been identified at the macroscale using Digital Image Correlations and the Virtual Fields Method, and at the fuller microscale using SEM imaging. The main difficulty in assessing the mechanical behavious of a weld is the fact that the material microstructure and defect population is highly heterogeneous both within the weld and in the surrounding areas. This variability in microstructure and defect distribution has a direct effect on the local mechanical properties resulting in the evolution of a complex stress and strain distribution around the weld. Full field imaging techniques such as Digital Image Correlation (DIC) will enable new light to be shed on the mesoscopic mechanical behaviour in and around welds as they provide rich experimental information.

 

 
Andrew Yohanes

Andrew Yohanes
Indonesia
Andrew’s Ph.D. research will start on October 2014 at University of Birmingham and his work will be focused on assessing hydrogen damage in 13 Cr stainless steel welds which is used as a pipeline transport material. The result from this research is vital to the pipeline transport system because of 2 reasons. The first reason is due to hydrogen rich environments which are commonly found in production fluid. The threat of hydrogen damage (SSC or SOHIC) always presents in the transport system against the pipeline materials. The second reason is due to the increasing used of 13 Cr stainless steels as pipeline material. The welds in 13 Cr stainless steels are suspected to be vulnerable sites against hydrogen damage. Therefore, assessing the welds in 13 Cr stainless steels is expected to give a major contribution to the preservation of pipeline transport material.

 

 
Javier Alejandro Domínguez Caballero

Javier Alejandro Domínguez Caballero
Mexico
Javier’s Ph.D. research started on October 2013 at The University of Sheffield. He explores the relation between the continuous wear that ceramic inserts experience during a high-speed machining process, with the evolution of the sparks created by this same process. This is analysed through the aid of a digital camera which constantly captures images and video of the cutting area and the ejected sparks. Through image processing, different data can be extracted and related to the wear present on the ceramic inserts. This research has the objective of producing some live monitoring system for tool life condition, that could in turn be implemented in the super alloys machining industries.

 

 
Alicia Adriana González Rodríguez

Alicia Adriana González Rodríguez
Mexico
Adriana Started her Ph.D. Studies on October 2010 at The University of Sheffield focused on the use of Computational Intelligence paradigms including Neural Networks, Fuzzy Systems and Evolutionary Systems such as Genetic Algorithms to develop intelligent models that can simulate and predict the behaviour of complex systems. The utilisation of such computational intelligent models is aimed at monitoring the performance of industrial processes in real-time, anticipate the outcome of the performance, detect changes and evaluate their influence during the process. These intelligent models have the ability to naturally communicate with the user (via linguistic-based feedback) and can be used as decision support tools. Furthermore, the computational cost to produce these models is low therefore allowing their use in many other real-time applications. The application area of her research project is on the study and development of models of Friction Stir Welding (FSW) particularly for Aluminium Alloys. These models can contribute to the development of novel monitoring techniques for FSW and its application can be used to study more complex manufacturing processes and materials.

 

 
Oscar Grijalva Meza

Oscar Grijalva Meza
Mexico
Oscar’s Ph.D. will be starting on November 2014 at Technische Universität Clausthal The main topic of his research will be focused on the reliability of OCTG tubulars and threaded connections under several load scenarios in offshore applications, particularly under the worst operating conditions. By means of simulation, numerical characterization by FEM and sample testing the research efforts will be aimed towards a possible improvement in thread design which can be patented.

 

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