Montoya-Marquez, Orlando
Main Affiliation
Preferred name
Montoya-Marquez, Orlando
Official Name
Orlando Montoya Márquez
ORCID
0000-0002-9515-8753
Researcher ID
S-3002-2018
Scopus Author ID
57192939499
3 results
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Item type:Publication, Fiber–matrix interaction governs compressive strength in agave-bagasse-reinforced adobe: a factorial experiment with two-way ANOVA and competing mechanism analysis(Frontiers Media SA, 2026-07-31); ; ; Varela-Aldás, JoséNatural-fiber reinforcement is widely cited as a pathway to improve the mechanical performance of adobe, but reported effects on compressive strength are inconsistent across studies: some find improvement, others find degradation, and the choice of experimental conditions rarely disentangles the role of the fiber from that of the matrix. This study quantifies the coupling through a balanced factorial experiment. Forty-nine adobe specimens of (Formula presented) cm were manufactured with three granular compositions (sand-dominated, jal-dominated, and balanced, where jal is a regional non-plastic silt of Jalisco, Mexico) and four mass fractions of agave-bagasse fiber (0%, 0.5%, 1%, and 2%), and were tested under Mexican standard NMX-C-036-ONNCCE by an accredited external laboratory. Three complementary analytical tools are applied to the resulting dataset: (i) a two-way analysis of variance (ANOVA), (ii) a reinforcement efficiency index (Formula presented) with bootstrap confidence intervals, and (iii) a competing mechanism phenomenological descriptor (Formula presented) that separates a saturating reinforcement term from a linear disruption term. The two-way ANOVA reveals a highly significant mixture–fiber interaction ((Formula presented), (Formula presented), and partial (Formula presented)), which is stronger than either main effect and statistically demonstrates that the sign of the fiber effect is not an intrinsic property of the fiber but rather a property of the fiber–matrix pair. For sand-containing mixtures, the reinforcement efficiency index is (Formula presented) [M1, 95% bootstrap CI (0.96, 1.32)] and (Formula presented) [M3, (0.92, 1.59)] at the optimum (Formula presented); a non-parametric bootstrap over 5, 000 resamples places the optimum at (Formula presented) with posterior probability (Formula presented) (M1) and (Formula presented) (M3). For the jal-dominated mixture, fiber inclusion is net destructive [(Formula presented), (0.68, 0.95) at (Formula presented)], with Welch (Formula presented)-tests rejecting equivalence with the control at (Formula presented) (0.5%) and (Formula presented) (2%) and Cohen’s effect sizes (Formula presented). The best-performing conditions yield mean compressive strengths of 3.22 MPa, which exceeds the 2.0 MPa minimum required by NMX-C-441-ONNCCE-2011 for non-structural masonry by 60%. An immersion test shows that unstabilized specimens disintegrate within 2–3 min, bounding applications to non-exposed or externally protected uses and defining the primary direction for future work. Copyright © 2026 De-Obaldia-Escalante, Del-Valle-Soto, Acevedo-Parra, Montoya-Márquez and Varela-Aldás. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mass Flow Control Strategy for Maximum Energy Extraction in Thermal Energy Storage Tanks(ASME International, 2024-11-28); ; <jats:title>Abstract</jats:title> <jats:p>This paper introduces an experimental approach to enhance thermal energy storage (TES) tank performance by employing a novel control strategy and an automatic flow valve. The valve adjusts mass flow to minimize heat loss and maximize useful heat within a specified input–output temperature range. Experiments were conducted indoors, simulating input heat via an electric heating element, and adhering to ANSI/ASHRAE 93-2010 standards. In the proposed control strategy, the set point is self-regulated based on an input value which in this case is the heat introduced into the TES system. In this way, when there is more input heat available, the mass flow will increase to obtain more useful heat at the output and, on the contrary, when there is less heat available, the mass flow will be reduced to obtain greater exergy. A comparison between this strategy and conventional on–off control systems was conducted, evaluating their performance based on useful heat obtained over an 8-h period with varying input heat levels. Results demonstrate that the proposed flow control methodology consistently outperforms on–off control, achieving a maximum 13.56% increase in useful heat under optimal conditions. This underscores the effectiveness of the novel control strategy in maximizing thermal energy storage tank efficiency.</jats:p>39Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Heat Removal Factor in Flat Plate Solar Collectors: Indoor Test Method(2018); José Flores-Prieto<jats:p>This paper presents a couple of methods to evaluate the heat removal factor FR of flat plate solar collectors, as well as a parametric study of the FR against the tilt angle β, and (Ti − Ta)/G, and its effects on the a0-factor (FRτα) and the a1-factor (FRULmin). The proposed methods were based on indoor flow calorimetry. The first method considers the ratio of the actual useful heat to the maximum useful heat. The second takes into account the slopes of the family of efficiency curves (FRULmin) according to ANSI/ASHRAE 93-2010, and the minimum overall heat loss coefficient, ULmin. In both methods, a feedback temperature control at collector inclinations from horizontal to vertical allows the inlet temperature and the emulating of the solar radiation to be established by electrical heating. The performance of the methods was determined in terms of the uncertainty of the FR. Method 1 allowed a three-fold improved precision compared to Method 2; however, this implied a more detailed experimental setup. According to the first method, the effects of the tilt angle β, and the (Ti − Ta)/G, on the a0-factor were considerable, since FR is directly proportional to the a0-factor. The changes in (Ti − Ta)/G caused an average change in FR of 32% The FR shows almost linear behavior for inclinations from horizontal to vertical with a 14.5% change. The effects of β on the a1-factor were not considerable, due to the compensation between the increase in FR and the decrease in ULmin as β increased.</jats:p>1 6Scopus© Citations 14