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Author

Navid Moslemi

Bio: Navid Moslemi is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Finite element method & Materials science. The author has an hindex of 6, co-authored 13 publications receiving 84 citations.

Papers
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TL;DR: In this paper, Tungsten Inert Gas (TIG) welding process was used to obtain the optimum joint characteristics and minimize defects that will contribute to make the welding process more cost effective.

38 citations

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TL;DR: In this paper, the microstructure (size and morphology of eutectic Si), impact toughness and sliding wear properties of A356 Al-Si alloy and composites containing 10, 20 and 25% of SiCp reinforcement produced by semisolid stirring technique were investigated.

27 citations

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TL;DR: In this paper, a three-dimensional rate independent inelastic constitutive model was developed to predict the fatigue behavior of metals spanning low to high cycles, based solely on the monotonic stress strain curve and a cyclic test for a few cycles.

22 citations

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TL;DR: In this paper, the mean tensile and the hoop axial stresses and their associated standard deviations were calculated based on the Population Standard Deviation (PSD) equation and then plotted against the material constituents.

22 citations

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TL;DR: In this article, an analytical solution was developed for electro-mechanical flexural response of smart laminated piezoelectric composite rectangular plates encompassing flexible-spring boundary conditions at two opposite edges.

21 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the influence of applying electromagnetic vibration during welding on the microstructural transformations, mechanical properties, and hot-cracking susceptibility in 316L stainless steel welding joints have been investigated.

85 citations

Journal ArticleDOI
01 Apr 2021-Silicon
TL;DR: In this paper, an attempt has been made to study the possibilities of taking the advantages of these approaches to machining using the Abrasive Water Jet Machine (AWJM) for Taguchi's L27 Orthogonal Array (OA).
Abstract: Clustering techniques are used to group the data based on the structure or through classification to reduce the mathematical complexity of large datasets. The hierarchical and partitioning approach are two broad clustering/classification techniques in data-mining. An attempt has been made to study the possibilities of taking the advantages of these approaches to machining. AlSi7/63% of SiC hybrid composite prepared by stir casting technique is machined using the Abrasive Water Jet Machine (AWJM) for Taguchi’s L27 Orthogonal Array (OA). Water Pressure, cutting distance, and cutting Speed are taken as independent parameters. Material Removal Rate (MRR), Kerf Angle (KA) and Surface profile Roughness (Ra) are taken as dependent responses. Support Vector Machine (SVM) classifiers with Agglomerative Hierarchical Clustering (AHC) classifies L27 OA into three classes of nine observations each. To compare and explore the difference between the partitional clustering and hierarchical clustering techniques at the same level of class, the study on K-means value is taken as 3 because of AHC group L27 OA into three classes. The value of K is fixed with three and it group into three classes of nine observations each. XLSTAT software is used for the analysis of AHC and K-means. Further, linear regression equations are developed for each class/classification of AHC and K-means and compared with the experimental observations. The analysis reveals that K-means classification based on the partitioning approach fits best with the experimental observations. AHC develops a single equation for all the classes, whereas K-means develops individual equations for all its classes.

50 citations

Journal ArticleDOI
29 Jun 2022-Polymers
TL;DR: In this paper , the influences of fiber volume fraction and stress level on the fatigue performance of glass fiber-reinforced polyester (GFRP) composite materials have been studied in the tension-tension fatigue scenario.
Abstract: Fibre-reinforced polymeric composite materials are becoming substantial and convenient materials in the repair and replacement of traditional metallic materials due to their high stiffness. The composites undergo different types of fatigue loads during their service life. The drive to enhance the design methodologies and predictive models of fibre-reinforced polymeric composite materials subjected to fatigue stresses is reliant on more precise and reliable techniques for assessing their fatigue life. The influences of fibre volume fraction and stress level on the fatigue performance of glass fibre-reinforced polyester (GFRP) composite materials have been studied in the tension–tension fatigue scenario. The fibre volume fractions for this investigation were set to: 20%, 35%, and 50%. The tensile testing of specimens was performed using a universal testing machine and the Young’s modulus was validated with four different prediction models. In order to identify the modes of failure as well as the fatigue life of composites, polyester-based GFRP specimens were evaluated at five stress levels which were 75%, 65%, 50%, 40%, and 25% of the maximum tensile stress until either a fracture occurred or five million fatigue cycles was reached. The experimental results showed that glass fibre-reinforced polyester samples had a pure tension failure at high applied stress levels, while at low stress levels the failure mode was governed by stress levels. Finally, the experimental results of GFRP composite samples with different volume fractions were utilized for model validation and comparison, which showed that the proposed framework yields acceptable correlations of predicted fatigue lives in tension–tension fatigue regimes with experimental ones.

40 citations

Journal ArticleDOI
17 Aug 2019-Entropy
TL;DR: Three entropic theorems—thermodynamics, information, and statistical mechanics—support approaches used to estimate theEntropic-based fatigue damage, and an empirically-based pseudo-Boltzmann constant equivalent to the Boltzmann Constant is demonstrated.
Abstract: This paper presents the entropic damage indicators for metallic material fatigue processes obtained from three associated energy dissipation sources. Since its inception, reliability engineering has employed statistical and probabilistic models to assess the reliability and integrity of components and systems. To supplement the traditional techniques, an empirically-based approach, called physics of failure (PoF), has recently become popular. The prerequisite for a PoF analysis is an understanding of the mechanics of the failure process. Entropy, the measure of disorder and uncertainty, introduced from the second law of thermodynamics, has emerged as a fundamental and promising metric to characterize all mechanistic degradation phenomena and their interactions. Entropy has already been used as a fundamental and scale-independent metric to predict damage and failure. In this paper, three entropic-based metrics are examined and demonstrated for application to fatigue damage. We collected experimental data on energy dissipations associated with fatigue damage, in the forms of mechanical, thermal, and acoustic emission (AE) energies, and estimated and correlated the corresponding entropy generations with the observed fatigue damages in metallic materials. Three entropic theorems—thermodynamics, information, and statistical mechanics—support approaches used to estimate the entropic-based fatigue damage. Classical thermodynamic entropy provided a reasonably constant level of entropic endurance to fatigue failure. Jeffreys divergence in statistical mechanics and AE information entropy also correlated well with fatigue damage. Finally, an extension of the relationship between thermodynamic entropy and Jeffreys divergence from molecular-scale to macro-scale applications in fatigue failure resulted in an empirically-based pseudo-Boltzmann constant equivalent to the Boltzmann constant.

34 citations

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TL;DR: In this paper, the impact on the GRP composite pipe wall may lead to some nonvisible damages such as matrix crack, fiber damage, delamination and inter-layer separation, and the composite pipes suffered strength loss due to these damages.

30 citations