5 research outputs found
Experimental and numerical determination of the mechanical properties of multi-axial multi-ply composites
No full textThe paper presents the experimental and numerical investigation methods adopted to evaluate and predict the mechanical response of multi-axial multi-ply carbon stitched laminates. An accurate experimental mechanical investigation was carried out in accordance to international standards at MTM Laboratory in Leuven. The numerical approach, developed and implemented by the Milan group, consists of two-scale homogenisation, based on the assumption of regular distribution of the fibres in the layer and of the stitching in the laminate. The channels produced by the stitching are included in the finite element model of the material Representative Volume (RV). The complete tensile behaviour of the composites was simulated and compared to the experimental results
Experimental and numerical determination of the mechanical properties of multi-axial multi-ply composites
No full textAnalysis of the capability of cork and cork agglomerates to absorb multiple compressive quasi-static loading cycles
No full textsponsorship: IberDoD HBCU/MI Basic Research Grant (Grant number JIUZ-2018-TEC-09), the University of Zaragoza (Spain) and the research group ID-ERGO. (IberDoD HBCU/MI Basic Research Grant|JIUZ-2018-TEC-09, University of Zaragoza (Spain), research group ID-ERGO)status: Publishe
Rubber Impact on 3D Textile Composites
No full textA low velocity impact study of aircraft tire rubber on 3D textile-reinforced composite plates was performed experimentally and numerically. In contrast to regular unidirectional composite laminates, no delaminations occur in such a 3D textile composite. Yarn decohesions, matrix cracks and yarn ruptures have been identified as the major damage mechanisms under impact load. An increase in the number of 3D warp yarns is proposed to improve the impact damage resistance. The characteristic of a rubber impact is the high amount of elastic energy stored in the impactor during impact, which was more than 90% of the initial kinetic energy. This large geometrical deformation of the rubber during impact leads to a less localised loading of the target structure and poses great challenges for the numerical modelling. A hyperelastic Mooney-Rivlin constitutive law was used in Abaqus/Explicit based on a step-by-step validation with static rubber compression tests and low velocity impact tests on aluminium plates. Simulation models of the textile weave were developed on the meso- and macro-scale. The final correlation between impact simulation results on 3D textile-reinforced composite plates and impact test data was promising, highlighting the potential of such numerical simulation tools
Human Management Practices Associated with Capacity Development Derived from the Fourth Industrial Revolution in Commercial Sector Companies in Medellín during the Period 2013-2019
No full textilustracionesLa cuarta revolución industrial, caracterizada por la automatización, la analítica de datos, la eficiencia energética y por la búsqueda de alternativas a la movilidad entre otros, está transformando la producción global y tiene efectos de gran alcance en todos los sectores y en la gestión del talento humano. Se evidencia en este contexto la necesidad de identificar cómo estos cambios y las respuestas de las organizaciones a estos retos afectan las capacidades y las prácticas de gestión humana en las empresas. Para la revisión de la literatura se realiza una búsqueda sistemática de artículos asociados a la cuarta revolución y las prácticas de gestión humana en las principales bases de datos científicas. También, se realizan entrevistas en 7 empresas de Medellín del sector comercial con un enfoque cualitativo y un método descriptivo, con el objetivo de analizar las prácticas de gestión humana asociadas al desarrollo de capacidades derivadas de la Cuarta Revolución Industrial en las empresas del sector comercial de Medellín del periodo 2013-2019. El resultado de esta investigación permitió establecer que la cuarta revolución industrial está teniendo un impacto significativo en cómo se afrontan los cambios en las prácticas de gestión humana en las empresas estudiadas. Así mismo, se constató que la inteligencia artificial se está utilizando cada vez más para mejorar la eficiencia y la toma de decisiones de las organizaciones. En conclusión, el big data y la capacidad de análisis de datos, tal como se observó en las empresas consultadas, están desempeñando un papel importante en esta nueva era tecnológica al permitir el análisis de grandes cantidades de información para identificar patrones y tendencias. Además, se observa una acelerada innovación en este campo, lo que ha llevado a una rápida difusión de la gestión del cambio y del conocimiento en las áreas de gestión humana, donde su influencia está dada por las capacidades que tienen las empresas para adaptarse. (Texto tomado de la fuente)The fourth industrial revolution, characterized by automation, data analytics, energy efficiency, and the search for alternatives in mobility, among others, is transforming global production and having far-reaching effects on all sectors and human talent management. In this context, the need to identify how these changes and organizational responses to these challenges affect capabilities and human resource management practices in companies becomes evident. A systematic search of articles associated with the fourth revolution and human resource management practices is conducted using major scientific databases for literature review. Additionally, interviews and surveys are carried out in 7 commercial sector companies in Medellin, employing a qualitative and descriptive approach, with the objective of analyzing human resource management practices associated with the development of capabilities derived from the Fourth Industrial Revolution in the commercial sector companies of Medellin during the period 2013-2019. The result of this research allowed us to establish that the fourth industrial revolution is having a significant impact on how changes in human resource management practices are addressed in the studied companies. Likewise, it was found that artificial intelligence is increasingly being used to improve organizations' efficiency and decision-making processes. In conclusion, big data and data analysis capabilities, as observed in the consulted companies, are playing an important role in this new technological era by enabling the analysis of large amounts of information to identify patterns and trends. Furthermore, accelerated innovation in this field is observed, leading to the rapid diffusion of change management and knowledge in human resource management areas, where its influence is determined by the adaptability of companies.MaestríaLa metodología empleada en este trabajo es de tipo exploratoria y descriptiva.Administración, Gestión humanaÁrea Curricular de Ingeniería Administrativa e Ingeniería Industria
