Francisco Maciel Monticeli

ORCID: 0000-0002-0814-8160
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About
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Research Areas
  • Mechanical Behavior of Composites
  • Natural Fiber Reinforced Composites
  • Epoxy Resin Curing Processes
  • Fiber-reinforced polymer composites
  • Additive Manufacturing and 3D Printing Technologies
  • Lignin and Wood Chemistry
  • Structural Behavior of Reinforced Concrete
  • Polymer composites and self-healing
  • Smart Materials for Construction
  • Fatigue and fracture mechanics
  • Structural Analysis of Composite Materials
  • Polymer crystallization and properties
  • Composite Material Mechanics
  • Advanced Cellulose Research Studies
  • Tribology and Wear Analysis
  • Polymer Nanocomposites and Properties
  • Textile materials and evaluations
  • Mechanical Engineering and Vibrations Research
  • Thermochemical Biomass Conversion Processes
  • Electrospun Nanofibers in Biomedical Applications
  • Photopolymerization techniques and applications
  • Thermal and Kinetic Analysis
  • Fire effects on concrete materials
  • Polymer Foaming and Composites
  • biodegradable polymer synthesis and properties

Delft University of Technology
2023-2025

Instituto Tecnológico de Aeronáutica
2022-2024

Universidade Estadual Paulista (Unesp)
2018-2023

Universidade Federal da Integração Latino-Americana
2022

Universidade de Caxias do Sul
2022

Universidade Federal do Rio Grande do Sul
2022

Materials Research Group (United States)
2021-2022

Universidade do Estado do Rio de Janeiro
2015

Textiles have been used in our daily life since antiquity both economies and social relationships. Nowadays, there has never a greater desire for intelligent materials. Smart fabric textiles with high-quality high-performance fiber manufacturing specific functions represented by clothing apparel brands (such as astronaut suits that can regulate temperature control muscle vibrations) are becoming increasingly prominent. Product applications also extend from the field of to medical/health,...

10.3390/textiles2040034 article EN cc-by Textiles 2022-11-21

The demand to capture translaminar crack growth under fatigue loading scenarios led this work contribution carry out the Finite Fracture Mechanics (FFM) method in damage and application of Paris model generate propagation prediction. purpose study is analyse effect fibre orientation on rate using FFM model, which includes cycle increment estimation fractographic analysis. results confirm feasibility predicting estimating life cyclic loading. However, C-scan analysis revised direction are...

10.1016/j.engfailanal.2024.108278 article EN cc-by Engineering Failure Analysis 2024-03-29

Abstract Laminate composites are increasingly being used in the transport sector due to their lightweight structures, resulting fuel savings. However, waste is generated form of post‐industrial or post‐consumer goods that end up landfill incineration. One way minimize impact these disposals through recycling reuse, but introducing reused fibers with reduced length has been a challenge keep mechanical properties. In this context, research aims evaluate influence fabric (satin weave) on...

10.1002/pc.29828 article EN other-oa Polymer Composites 2025-03-27

The present study aims to evaluate thin plate-injected polypropylene (PP) composites containing short aramid fibers (AF) and graphene nanoplatelets (GNPs). were manually cut a length of 10 mm added the matrix at concentration wt.%. Additionally, GNPs incorporated concentrations 0.1, 0.25, 0.5 Maleic anhydride grafted (MAPP) was used 2 wt.% improve adhesion compatibility between polymer fillers. Thermal analyses, tensile flexural tests, dynamic mechanical thermal analysis performed, followed...

10.3390/polym17030374 article EN Polymers 2025-01-30

To enhance the removal of vegetal oil from water, influence concentration fibers sugarcane bagasse pretreated by steam explosion as reinforcement in polyurethane foam was used. The composites were obtained mass mixing polyol with prepolymer (1: 1) and reinforced 5% to 20% (wt/wt) fibers. fibers, pure characterized scanning electron microscopy (SEM), X-Ray Diffraction (XRD) Surface area measurements (BET). Sorption tests carried out on (PU) composites. sorption capacity evaluated a function...

10.1080/15440478.2019.1710653 article EN Journal of Natural Fibers 2020-01-10

Abstract The time-temperature creep behavior of advanced composite laminates is herein determined through a comprehensive set experiments and analytical modeling. A complete structure versus property relationship wide range temperature applied stress levels at the three states composite: glassy, glass transition, rubbery regions. Weibull, Eyring, Burger, Findley models are employed to predict experimental data better elucidate material behavior. Experimental tests carried out under ten min...

10.1007/s11043-020-09463-z article EN cc-by Mechanics of Time-Dependent Materials 2020-09-07

Considering that structural composites are typically composed of off-axis plies, i.e. quasi-isotropic stacking sequence, their strength and stiffness time-dependent due to the viscoelastic character polymer matrices. This work consists determining creep, recovery, stress relaxation carbon fiber-reinforced (CFRP) composites. Long-term experimental analyses conducted via dynamic mechanical analysis under several temperatures levels. From observations, changes in mechanisms predicted using...

10.1016/j.jcomc.2020.100051 article EN cc-by Composites Part C Open Access 2020-10-07

The effects of processing parameters on conventional molding techniques are well-known. However, the fabrication a carbon fibre (CF)/epoxy composite via additive manufacturing (AM) is in early development stages relative to fabrications based resin infusion. Accordingly, we introduce predictions flexural strength, modulus, and strain for high-performance 3D printable CF/epoxy composites. data prediction analyzed using approaches an artificial neural network, analysis variance, response...

10.3390/polym14173668 article EN Polymers 2022-09-04

Abstract The molar mass of the polyurethanes (PUs)' reagents directly influences their thermal response, affecting both polymerization process and enthalpy degree reaction. This study reports applying an artificial neural network (ANN), associated with surface response methodology (SRM) models, to predict calorimetric behavior certain PU's bulk polymerizations. A noncatalyzed reaction between aliphatic hexamethylene diisocyanate (HDI) a polycarbonate diol (PCD) distinct masses (500, 1000,...

10.1002/pen.25702 article EN Polymer Engineering and Science 2021-04-27
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