1,357,542 research outputs found
Texture evolution and hardening behavior of Al/IF composite produced through severe plastic deformation
Get PDFIn this research, the microstructure, texture, and work hardening behavior of the Al/IF composite were investigated. The composites were produced through up to 7 cycles of accumulative roll bonding (ARB). The microstructure evolution revealed that the IF layer fractured during the process and distributed within the Al matrix due to its higher hardness and higher work hardening rate, as well as formation of shear bands. The main deformation textures formed in the Al layer were the {001} , {4,4,11} , and {111} components. In the IF layer, preferred orientations of {001} , {110} , and {111} were observed. The produced composite exhibited typical tensile behavior, with strength increasing and elongation decreasing during the process due to an increment in dislocation density and hardening. Additionally, the results revealed that the hardening capacity of the composite decreased during the process; however, the strain hardening rate increased. A noticeable increase in dislocation density and a decrease in crystallite size were found to be the main governing parameters of these variations. Moreover, the fracture mode of the composite changed from ductile fracture to a more brittle mode as a result of hardening
Corrigendum to “Microstructure dependent dislocation density evolution in micro-macro rolled Al2O3/Al laminated composite” [Mater. Sci. Eng., A. 830 (7 January 2022) 142317] (Materials Science & Engineering A (2022) 830, (S0921509321015811), (10.1016/j.msea.2021.142317))
No full textThe authors regret that the original version of this publication contains some errors that should be corrected as follows: The affiliation of corresponding author (Catalin Iulian Pruncu) is incorrectly written. The correct affiliation should only read as: Departimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, 70125, Italy The authors offer their sincere apologies to the readers of the journal for any inconvenience caused
Design strategies for enhancing strength and toughness in high performance metal matrix composites: A review
No full textBayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets
Get PDFThe prediction of financial markets is a challenging yet important task. In
modern electronically-driven markets, traditional time-series econometric
methods often appear incapable of capturing the true complexity of the
multi-level interactions driving the price dynamics. While recent research has
established the effectiveness of traditional machine learning (ML) models in
financial applications, their intrinsic inability to deal with uncertainties,
which is a great concern in econometrics research and real business
applications, constitutes a major drawback. Bayesian methods naturally appear
as a suitable remedy conveying the predictive ability of ML methods with the
probabilistically-oriented practice of econometric research. By adopting a
state-of-the-art second-order optimization algorithm, we train a Bayesian
bilinear neural network with temporal attention, suitable for the challenging
time-series task of predicting mid-price movements in ultra-high-frequency
limit-order book markets. We thoroughly compare our Bayesian model with
traditional ML alternatives by addressing the use of predictive distributions
to analyze errors and uncertainties associated with the estimated parameters
and model forecasts. Our results underline the feasibility of the Bayesian
deep-learning approach and its predictive and decisional advantages in complex
econometric tasks, prompting future research in this direction
Sustainability Orientation, Supply Chain Integration, and SMEs Performance: A Causal Analysis
Get PDFThe pressure of globalization has raised social concerns related to the protection of the environment, forced companies to use sustainability as a strategic weapon to fulfill the legal obligations and achieve overall competitiveness. It is reported that small and medium enterprises (SMEs) are globally responsible for approximately 70% of the industrial pollution, justifying urgent attention to the operations of these businesses. This paper aims at analyzing the impact of sustainability orientation and supply chain integration implemented by SMEs on their sustainable procurement and design. Moreover, this study examines how SMEs’ sustainable procurement and design affect their environmental and cost performances.
We develop a comprehensive model to test the relationships among sustainability orientation, supply chain integration, sustainable procurement, sustainable design, environmental performance and cost performance at SMEs level. We investigate the relationships of the mentioned factors by a dataset that is collected from 358 Indian manufacturing SMEs.
The results indicate that in the SMEs’ context: (i) sustainability orientation positively influences both sustainable procurement and sustainable design, (ii) external integration positively affects sustainable procurement, (iii) internal integration positively affects sustainable design, (iv) sustainable procurement positively influences the environmental performance, and has not impact on cost performance, and (v) sustainable design positively influences both environmental performance and cost performance.
This study provides a broad view of the relation between driving factors that may direct SMEs toward a better sustainability performance and offers practical managerial insights to these important business entities
Carbon nanotube reinforced aluminum matrix composites produced by spark plasma sintering
No full text
A Preliminary Structural Survey of Heritage Timber Log Houses in Tønsberg, Norway
No full textThe formulation of a multi-hazard loss model for a given structure is not only of interest for predicting the economic impact of future damage but it can also be of importance for risk mitigation. A methodology that can assess the vulnerability of the built environment is a significant component of a loss model. The multi-risk vulnerability of heritage buildings necessitates greater knowledge about the history of their construction, including aspects relating to preserving them as assets. Timber as an organic material is more susceptible to decay and the structural assessment of timber buildings is essential for their preservation. A preliminary survey as a basis for multi-risk vulnerability assessment of such buildings is essential. In this step of the process, the history of the building is investigated, as well as any intervention to it during its lifetime. A damage inspection of structural elements conducted by experts is an essential part of the second step. After this, the configuration of the building, including height, plan view and connection details should be documented. After the preliminary survey of the building, detailed methods are employed to gather further information about the structure’s behaviour under different risk scenarios. In this paper, heritage timber buildings in Tønsberg, Norway have been selected as case studies for multi-risk vulnerability assessments. The preliminary survey has been conducted by a team of experts and useful data have been recorded and explained. 3D laser scanners have been used in the survey in place of traditional 2D methods to obtain a more detailed and accurate 3D representation of the buildings
- …
