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Advanced Manufacturing

About the Group

This multidisciplinary research group develops new materials, tooling, and manufacturing processes to trigger new design concepts and potential new products. The group performs modeling, synthesis, and characterization of nanostructured materials.

Advanced processes of interest include additive manufacturing (3D printing), subtractive manufacturing (industrial laser and micro-milling), and forming. Potential research applications include medical devices, transportation, energy, and construction.

Research lines

• Competitive intelligence, technological innovation processes, and product life cycle.
• Synthesis and manufacture of nanoparticles, nanostructures, and nano-reinforced materials.
• Modeling of nanostructures and multiscale manufacturing using computational calculation tools, quantum chemistry and mechanics, molecular dynamics, density functional theory, finite element, and computational fluid dynamics, among others.
• Mechanical (fracture, fatigue, corrosion, tribology) and structural characterization of advanced materials.


Ciro Angel Rodríguez González -


Andrea Guevara Morales -


Alán Joel Miralrio Pineda
Alfonso Gómez Espinosa
Anatoly Markov
Andrés Antonio Torres Acosta
César David Reséndiz Calderón
David Carlos Romero Díaz
David Güemes Castorena
David Isaac Ibarra Zarate
Eduardo Alejandro Flores Villalba
Elisa Virginia Vázquez Lepe
Erika García López
Horacio Vieyra Ruíz
José Antonio Otero Hernández
José Israel Martínez López
Juan Manuel E. Ramírez de Arellano Niño Rincón
Leonardo Israel Farfán Cabrera
Marisela Rodríguez Salvador
Moisés Jiménez Martínez
Omar Eduardo López Botello
Rafael Batres Prieto
Ulises Figueroa López

Most relevant publications

• Chavarría-Barrientos, D., Batres, R., Wright, P. K., & Molina, A. (2018). A methodology to create a sensing, smart and sustainable manufacturing enterprise. International Journal of Production Research, 56(1-2), 584-603. doi:10.1080/00207543.2017.1386333

• Cuan-Urquizo, E., Barocio, E., Tejada-Ortigoza, V., Pipes, R. B., Rodriguez, C. A., & Roman-Flores, A. (2019). Characterization of the mechanical properties of FFF structures and materials: A review on the experimental, computational and theoretical approaches. Materials, 16(6) doi:10.3390/ma12060895

• Farfan-Cabrera, L. I. (2019). Tribology of electric vehicles: A review of critical components, current state and future improvement trends. Tribology International, 138, 473-486. doi:10.1016/j.triboint.2019.06.029

• García-López, E., Olvera-Trejo, D., & Velásquez-García, L. F. (2017). 3D printed multiplexed electrospinning sources for large-scale production of aligned nanofiber mats with small diameter spread. Nanotechnology, 28(42) doi:10.1088/1361-6528/aa86cc

• González-García, J., Gómez-Espinosa, A., Cuan-Urquizo, E., García-Valdovinos, L. G., Salgado-Jiménez, T., & Escobedo Cabello, J. A. (2020). Autonomous underwater vehicles: Localization, navigation, and communication for collaborative missions. Applied Sciences (Switzerland), 10(4) doi:10.3390/app10041256

• Jimenez-Martinez, M., & Alfaro-Ponce, M. (2019). Fatigue damage effect approach by artificial neural network. International Journal of Fatigue, 124, 42-47. doi:10.1016/j.ijfatigue.2019.02.043

• Lopez-Botello, O., Martinez-Hernandez, U., Ramírez, J., Pinna, C., & Mumtaz, K. (2017). Two-dimensional simulation of grain structure growth within selective laser melted AA-2024. Materials and Design, 113, 369-376. doi:10.1016/j.matdes.2016.10.031

• Miralrio, A., & Vázquez, A. E. (2020). Plant extracts as green corrosion inhibitors for different metal surfaces and corrosive media: A review. Processes, 8(8) doi:10.3390/PR8080942

• Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. doi:10.1016/j.jmsy.2018.10.005

• Rodríguez-Salvador, M., Rio-Belver, R. M., & Garechana-Anacabe, G. (2017). Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: The case of 3D bioprinting. PLoS ONE, 12(6) doi:10.1371/journal.pone.0180375


Business relationship

• Navistar
• Siemens
• Festo