Host Research Group
ES14_eMERG_Teresa Guraya Díez
Teresa Guraya
946014389/656737225
Group description
eMERG is a multidisciplinary research group focused on the study of materials for engineering applications. We work with metallic and polymeric materials manufactured using different technologies. We look for relationships between the manufacturing process and conditions, the microstructural features of the materials and their final properties. With the aim to be close to industrial needs, we actively collaborate with industry and research centers in different projects. We also develop some internal projects in topics of our interest until we get enough knowledge to apply for public funds (for example a new project with the shape memory Nitinol, or another project in which we work with PHA based nanocomposites). We do not have the facilities to produce the materials we study; those are provided by the industry, research centers or other universities through collaborative projects, or we process them at the facilities of our collaborators. We have full access to SGIker, the Advanced Research Facilities from the UPV/EHU (https://www.ehu.eus/es/web/sgiker/home) and to facilities of other research groups of the UPV/EHU for the complete physicochemical characterization of our materials. Optimization and machine learning techniques are also applied to improve the materials’ properties and their manufacturing processes. For this purpose, the research group has several servers and the necessary equipment to assume the computational cost of these operations.
Keywords
- Physical Metallurgy
- Additive Manufacturing
- Advanced Materials
- Mechanical Properties
- Biopolymer composites
- PHA
- Computational Optimization
- Machine Learning
Team Description
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Teresa Guraya (principal Investigator)
ORCID: 0000-0002-5025-8304
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Julen Ibarretxe (Co-Principal Investigator)
ORCID: 0000-0002-5136-765X
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Pello Jimbert (Research staff)
ORCID: 0000-0001-8652-0506
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Roberto Fernández (Research staff)
ORCID: 0000-0002-9436-6577
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Ana Okariz (Research staff)
ORCID: 0000-0001-5601-5939
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Maider Iturrondobeitia (Research staff)
ORCID: 0000-0001-8799-616X
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Mireia Vilanova (PHD Students with an active fellowship)
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Mikel Undagoitia (PHD Students with an active fellowship)
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Jacid Montoya (PHD Students with an active fellowship)
Projects
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Development of High Performance Ceramic and Metallic Materials for Adavanced Manufacturing
Pl: Teresa Guraya
Funding Agency*: Regional
Ongoing: yes
Project reference: Elkartek 20/92
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Study of Corrosion Mechanisms in Super-duplex Stainless Steel produced by Advanced Manufacturing Technologies
Pl: Teresa Guraya
Funding Agency*: Regional
Ongoing: no
Project reference: Elkartek 19/50
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Development of Low Density-Highe Entropy Alloys
Pl: Teresa Guraya
Funding Agency*: Regional
Ongoing: no
Project reference: Elkartek 17/02 and Elkartek 18/15
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Development of a methodology for the optimization of the design of LFT composites based on 3D microstructural information and softcomputing techniques
Pl: Maider Iturrondobeitia
Funding Agency*: Regional
Ongoing: yes
Project reference: US20/20
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New metallurgical strategies for the improvement of high chrome martensitic steels 2
Pl: Roberto Fernández
Funding Agency*: Regional
Ongoing: no
Project reference: Elkartek19/84 and Elkartek-18/77
Publications
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Kaltzakorta, I; Gutierrez, T; Elvira, R; Jimbert, P; Guraya, T,, = “Evolution of Microstructure during Isothermal Treatments of a Duplex-Austenitic 0.66C11.4Mn.9.9Al Low-Density Forging Steel and Effect on the Mechanical Properties”,, Metals, 11(2), 214,, 2021
10.3390/met11020214 -
T. Guraya; S. Sinagmneni; Z. Chen,, = “Microstructure Formed During Selective Laser Melting Of In738LC In Keyhole Mode”, Journal Of Alloys And Compounds, 792(160), 151-160,, 2019
10.1016/j.jallcom.2019.03.419 -
JM Sanchez; I Vicario; J Albizuri; T Guraya; EV Acuña, = “Design, Microstructure And Mechanical Properties Of Cast Medium Entropy Aluminium Alloys”, Scientific Reports, 9(1), 1-12, 2019
10.1038/s41598-019-43329-w -
M. Iturrondobeitia, J. Ibarretxe, A. Ocariz, P. Jimbert, R. Fernandez, T. Guraya, = Semi-automated quantification of the microstructure of PLA/clay nanocomposites to improve the prediction of the elastic modulus, Polymer Testing, Vol. 66, 280-291, 2018
10.1016/j.polymertesting.2018.01.015 -
Fernandez Martinez R., Jimbert P., Ibarretxe J., Iturrondobeitia M., = Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent, Soft Computing, 23(15), 6115-6124, 2019
https://doi.org/10.1007/s00500-018-3262-2
Research Lines
ADVANCED MATERIALS AND PROCESSES
High Performance Materials for Transport and Energy
- We design and study the physical metallurgy of new materials manufactured by different techniques for transport, medical and energy sectors. The materials we are focussed on are: Nickel-based superalloys, Aluminium-based alloys, Shape memory alloys, Titanium based alloys, Light weight high and medium entropy alloys, Low density steels, Duplex and Superduplex steels. Manufacturing technologies available through different collaborations: casting, forging, powder sintering, additive manufacturing.
New biopolymer based composites
- The focus of this research line is on the development of new biopolymer based composites with the aim of extending their current usability. Currently we are working with PHAs and nanoparticles (alumina, cellulose). We study the relationship between the processing conditions, the microstructure and the final properties, and one of the areas of expertise of our group is the characterization of the microstructure in 3D. The main driving force behind this work is the reduction of the environmental impact of the polymer industry, and we use LCA as a tool to assess our work in that regard.
INTELLIGENT, FLEXIBLE & EFFICIENT PRODUCTION SYSTEMS
Production system optimization
- One of the lines performed by the research group is focused on the optimization of production systems and/or manufactured products through the use of computational optimization and machine learning techniques. Thanks to the new trend of digitization of production systems defined inside of Industry 4.0 program, that combines advanced production techniques and operations with integrated intelligent computational technologies, an adequate optimization allows obtaining more intelligent, flexible and efficient production systems. This optimisation allows decision-makers to obtain useful information to improve the production system or the manufactured products.
SUSTAINABLE MANUFACTURING
Additive Manufacturing of High-Performance Materials
- Powder Technologies and Additive Manufacturing are technologies that allow near to final shape manufacturing. Moreover, complex shapes including hollow irregular parts or lattice structures can be obtained successfully. More efficient use of resources and reduction of post-manufacturing and machining processes are well known. These processes produce materials with microstructures differing from those obtained by casting or forging. We study how the process parameters affect the material microstructural features, and how the post processing processes affect the material properties. In the near future we are approaching the study of surface features and topological optimization.
We do not have any connection with University of Bodeaux or other New Aquitania Region external partners at present. All member of eMERG are absolutely open to collaborate.