Publications

(2025) "Comprehensive Characterization of Yanchama (Poulsenia Armata) fiber cloth from the Ecuadorian Amazon Region: Towards Sustainable Reinforcement Materials" Journal of Materials Research and Technology. DOI: 10.1016/j.jmrt.2025.09.067 

(2025) "Adiabatic efficiency and mechanical properties optimization for the laser-based powder bed fusion process of 316L stainless steel alloy" Materials Today Communications. DOI: 10.1016/j.mtcomm.2025.113616    

(2025) "Mechanical Response of Bio-Epoxy Resin Composites Reinforced with Graphene Oxide: Machine Learning Approach for Property Prediction". Functional Composites and Structures. DOI: 10.1088/2631-6331/adebdb  

(2025) "Predicting the Relative Density of Stainless Steel and Aluminum Alloys Manufactured by L-PBF Using Machine Learning ". Journal of Manufacturing and Materials Processing . DOI: 10.3390/jmmp9060185 

(2025) "Laser powder bed fusion dataset for relative density prediction of commercial metallic alloys". Scientific Data. DOI: 10.1038/s41597-025-04576-x  

(2025) "Life Cycle Assessment of Tensile Specimens of Stainless Steel Obtained by Additive Manufacturing versus Conventional Manufacturing". Advanced Materials & Sustainable Manufacturing. DOI: 10.70322/amsm.2025.10004  

(2025) "Effect of Porosity on Tribological Properties of Medical-Grade 316L Stainless Steel Manufactured by Laser-Based Powder Bed Fusion". Materials. DOI: 10.3390/ma18030568 

(2024) "Experimental and Numerical Characterization of Local Properties in Laser-Welded Joints in Thin Plates of High-Strength-Low-Alloy Steel and Their Dependence on the Welding Parameters". Metals. DOI: 2075-4701/14/11/1219

(2024) "Experimental and numerical investigation of sliding wear of heat-treated 316L stainless steel additively manufactured". Journal of Materials Research and Technology. DOI: 10.1016/j.jmrt.2024.09.263 

(2024) "Microstructural differences and mechanical performance of stainless steel 316L conventionally processed versus a selective laser melted". Progress in Additive Manufacturing. DOI: 10.1007/s40964-024-00774-y 

(2024) “Influence of the Processing Parameters on the Microstructure and Mechanical Properties of 316L Stainless Steel Fabricated by Laser Powder Bed Fusion”. Journal of Manufacturing and Materials Processing.  DOI: 10.3390/jmmp8010035

(2024) “Microstructure effect on sliding wear of 316L stainless steel selectively laser melted”. Materials Science and Technology.  DOI: 10.1177/02670836231217

(2024) “Tensile/Compressive Response of 316L Stainless Steel Fabricated by Additive Manufacturing”. Ingenius.  DOI: 10.17163/ings.n31.2024.01

(2023) “Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction”. CIRP Journal of Manufacturing Science and Technology.  DOI: 10.1016/j.cirpj.2023.03.002

(2023) “Microstructure simulation and experimental evaluation of the anisotropy of 316L stainless steel manufactured by laser powder bed fusion”. Journal of Rapid Prototyping. DOI: 10.1108/RPJ-04-2022-0127

(2022) “Comparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical properties of 316L stainless steel specimens produced by selective laser melting”. Journal of Manufacturing Processes. DOI: 10.1016/j.jmapro.2022.06.021

(2022) “A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing”. International Journal of Advanced Manufacturing Technology. DOI: 10.1007/s00170-022-08966-y

(2022) “Vibration-assisted laser welding: Frequency and amplitude vibration effect on the microhardness of A36 steel”. Journal of Materials: Design and Applications. DOI: 10.1177/14644207221102659

(2022) “Recovery of Hydro Turbines: From Welding to Additive Manufacturing”. Solid State Phenomena. DOI: 10.4028/p-lx8uye

 (2022) “Waste Biomass Selective and Sustainable Photooxidation to High-Added-Value Products: A Review”. Catalysts. DOI: 10.3390/catal12101091

 (2022) “Design and construction of a friction welding equipment with laser assistance for the joint of AISI 1045 steel and aluminum 2017-T4 shafts”. Ingenius. DOI: 10.17163/ings.n27.2022.07

(2022) “Numerical analysis of the effect of processing parameters on the microstructure of stainless steel 316L manufactured by laser-based powder bed fusion”. Materials Today: Proceedings. DOI: 10.1016/j.matpr.2021.10.209

(2021) “Comparative Evaluation of Machine Learning Regressors for the Layer Geometry Prediction in Wire arc Additive manufacturing”. IEEE Xplore. DOI: 10.1109/icmimt52186.2021.9476168

 (2021) “Predicting the ultimate tensile strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using machine learning: a comparison with response surface methodology”. International Journal of Advanced Manufacturing Technology. DOI: 10.1007/s00170-021-07469-6

 (2021) “Effect of laser heat treatment on the mechanical performance and microstructural evolution of AISI 1045 steel – 2017-T4 aluminum alloy joints during rotary friction welding”. Journal of Materials Engineering and Performance. DOI: 10.1007/s11665-021-05614-6

  (2021) “Comparative evaluation of supervised machine learning algorithms in the prediction of the relative density of 316L stainless steel fabricated by selective laser melting”. International Journal of Advanced Manufacturing Technology. DOI: 10.1007/s00170-021-06596-4

 (2020) “Machine Learning for Optimizing Technological Properties of Wood Composite Filament-Timberfill Fabricated by Fused Deposition Modeling”, Communications in Computer and Information Science. DOI: 10.1007/978-3-030-42520-3_10

 (2020) “Computational fracture mechanics: Evaluation of the structural integrity in a penstock applying the BS7910 standard and finite element analysis”. IOP Conference Series: Materials Science and Engineering. DOI: 10.1088/1757-899x/925/1/012023