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Failure Analysis of Austenitic Stainless Steel Implant Screws and Prospection of Chemical Composition Using Artificial Intelligence

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World Journal of Engineering and Technology 2022年第1期10卷 98-118页

作者： alfonso monzamodeth román-sedano Bernardo Campillo Fermín Castillo Osvaldo Flores Facultad de Química Universidad Nacional Autónoma de México Ciudad de México México Instituto de Ciencias Físicas Universidad Nacional Autónoma de México Cuernavaca Morelos México

In this work, austenitic stainless steel screws employed in a locking compression plate for veterinarian use were investigated. These types of implants are widely utilized in bone fractures healing. Two surgical screws were extracted due to the observation of slight superficial red rust colorizing on one of the screw implants, visual evidence of probable screw rusting. From the same implant, another screw was extracted simultaneously without visual evidence of rusting. In order to characterize and analyze the different behavior of both screws, the chemical composition was characterized by atomic absorption and energy dispersive X-ray spectroscopy (EDS) coupled to a scanning electron microscope (SEM). Also, the screws were studied by metallography, optical microscopy (OM), Vickers microhardness tests, and SEM analysis. On the other hand, a prospection for alloy chemical composition limits of these types of implants was performed based on the Schaeffler-Delong diagram and the ASTM F-138 standard. To analyze the effect of the chemical composition, heat treatment, microstructure, pitting resistance equivalent number (PRE) and stacking fault energy (SFE), a genetic algorithm (GA) and an artificial neural network (Ann) were used. In accordance with the elemental analysis, the surgical screws do not fulfill the ranges of the chemical composition established by the ASTM F-138 standard. Furthermore, there were found differences between the microstructures of the screws. In regard to the prospection, the results of GA and Ann support the proposed chemical composition region on the Schaeffler-Delong diagram. The corrosion failure was associated with severe plastic deformation and the presence of precipitates. The proposal can minimize the cause of failures in these types of austenitic stainless steel implants.

关键词： Implant Screw Failure Analysis Genetic Algorithm Artificial neural network Austenitic Stainless Steel

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Mapping of Radon (<sup>220</sup>Rn and <sup>222</sup>Rn) Concentration Distribution in a Microclimate Condition Cellar Using nuclear Track Methodology

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Journal of Environmental Protection 2019年第7期10卷 919-928页

作者： Guillermo Espinosa José-Ignacio Golzarri alfonso M. román-sedano Fermín Castillo Instituto de Física Universidad Nacional Autónoma de México Circuito de la Investigación Científica Ciudad Universitaria Coyoacán Ciudad de México México Laboratorio de Espectroscopia Instituto de Ciencias Físicas Universidad Nacional Autónoma de México Cuernavaca México

This work presents the results of the Radon (220Rn and 222Rn) measurements made with 486 chips of CR-39 (Allyl Dyglicol Poly Carbonate) MASL? bared detectors, in a reticular mode distribution, inside of a cellar with average indoor radon concentration 862 ± 49 Bq/m3. The exposure time was 3 months, in microclimate condition of constant temperature, humidity, barometric pressure and no airflow. After these 3 months, all the detectors were chemically etched in KOH 6.25 M solution at 60°C ± 1°C for 18 hours, following a very well established protocol for indoor radon survey by the Dosimetry Applications Laboratory of the Physics Institute of the national Autonomous University of Mexico, and later read automatically by CADIS (Counting Automatically Digital Image System). The results show that each one of the nine measured planes is not homogeneous presenting important differences of indoor radon concentration values. Specifically, the Radon (220Rn and 222Rn) concentration levels vary for each measured point within the cellar. It is a very important observation to consider for the calculation of dose and radiological risk.

关键词： Indoor Radon Mapping Radon Distribution nuclear Track Methodology nTM

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Repsol石油公司园区

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建筑学报 2014年第4期 62-69页

作者： Jesús román Concha Pe a Marcus Lassan Carolina Fernández Conchi Cobo Guillermo Vidal Bodo Schumacher Laura Díaz Hubert Lionnez María Millán Hugo Berenguer Guillermo Cervantes Beatriz Heras Zaloa Mayor María Martínez Miguel García Irene Zurdo María Iglesias alfonso Quiroga 刘亦师拉斐尔.德.拉-霍兹建筑设计公司

Repsol石油公司总部园区位于马德里市中心的门德兹艾瓦罗(MendezAlvaro),是马德里中心市区唯一的一处公司总部园区,在可达性、可持续性和安全性等诸方面都进行了探索.该项目获得了美国绿色建筑协会的LEED白金认证,成为欧洲最“绿色”的... 详细信息

Repsol石油公司总部园区位于马德里市中心的门德兹艾瓦罗(MendezAlvaro),是马德里中心市区唯一的一处公司总部园区,在可达性、可持续性和安全性等诸方面都进行了探索.该项目获得了美国绿色建筑协会的LEED白金认证,成为欧洲最“绿色”的建筑之一.该项目严格依据条件苛刻的可持续设计原则进行设计和建设的,方案的可持续性、生态高效的交通体系、建材的可重复利用性等都是被LEED认证时被考查的重要因素.

关键词：石油公司 LEED 建筑师美术家 Repsol 建筑群园区

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Involucri in cotto : sistemi innovativi per il rivestimento in architettura

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2000年

作者： Acocella alfonso..

Title translated: 建筑覆面材料的革新124 p. : ill. (some col.) ; 30 cm + 1 CD-rom + 1 pamphlet.

ISBN: (纸本)9889730715

Title translated: 建筑覆面材料的革新124 p. : ill. (some col.) ; 30 cm + 1 CD-rom + 1 pamphlet.

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