Predicting the effect of fiber orientations and boundary conditions on the optimal placement of PZT sensor on the composite structures

Samyal, Rahul; Bagha, Ashok Kumar; Bedi, Raman; Bahl, Shashi; Saxena, Kuldeep K.; Sehgal, Shankar

doi:10.1088/2053-1591/ac0de9

Cited by 51 publications

(19 citation statements)

References 35 publications

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“…The uniform distribution of Cr2O3 particles depicted in Figure 2 validates the effectiveness of the fabrication process and highlights the successful integration of Cr2O3 reinforcement into the aluminum matrix [53]. This achievement signifies a significant advancement in aluminum composite manufacturing, offering enhanced materials with superior performance characteristics for a wide range of applications, including aerospace, automotive, and structural engineering [54][55][56][57]. Overall, Figure 2 provides valuable insight into the microstructural features of the composite material, demonstrating the successful implementation of Cr2O3 reinforcement through Friction Stir Processing.…”

Section: Microstructure Investigationmentioning

confidence: 59%

Revolutionizing Aluminum Composite Manufacturing: Harnessing Cr2O3 Reinforcement via Friction Stir Technique

Al-Fatlawy,

S P,

Raju K

et al. 2024

E3S Web of Conf.

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This paper explores the revolutionary approach of enhancing aluminum composite manufacturing through the integration of Cr2O3 reinforcement using the Friction Stir Technique. The pivotal role of the vertical milling machine in executing Friction Stir Processing (FSP) is emphasized, detailing precise parameters crucial for achieving optimal results. The even dispersion of Cr2O3 throughout the matrix is highlighted as essential for ensuring consistent mechanical and chemical properties, enhancing overall strength, durability, and resistance to corrosion. Experimental findings reveal significant improvements across multiple mechanical properties, including a remarkable 21.56% increase in tensile strength, a notable 36.89% enhancement in hardness, a significant 24.33% improvement in fatigue strength, and a substantial 29.04% increase in wear resistance. These results underscore the effectiveness of Cr2O3 reinforcement via FSP in revolutionizing aluminum composite manufacturing, offering a pathway towards the development of high-performance materials with diverse industrial applications.

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Section: Microstructure Investigationmentioning

confidence: 59%

Revolutionizing Aluminum Composite Manufacturing: Harnessing Cr2O3 Reinforcement via Friction Stir Technique

Al-Fatlawy,

S P,

Raju K

et al. 2024

E3S Web of Conf.

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“…In this paper, a state method is used to predict the response of smart structures [12,33] in the frequency domain.…”

Section: State-space Methods For the Smart Structuresmentioning

confidence: 99%

“…The piezoelectric matches are mounted on the structure to attenuate its vibrations. They must be mounted at the optimal location [33]. They should not mount at or near the node of any vibrational mode.…”

Section: Uncertainties In the Location Of The Pzt Patchesmentioning

confidence: 99%

Finite element model updating of smart structures with direct updating algorithm

Verma¹,

Kango²,

Bagha³

et al. 2022

Phys. Scr.

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In this paper, a finite element model updating algorithm is proposed to enhance the accuracy of the simulated finite element model of a smart structure (collocated piezoelectric patches embedded on a cantilever beam). Piezoelectric patches are used to sense and control the excessive vibrations of the structures. Mostly, they are mounted on flexible structures to measure their response at different excitations. The finite element method can be used to model the beam embedded with collocated piezoelectric patches. The complete finite element formulation of the smart structure is briefly described in this paper. There are different types of uncertainties that may be present in the simulated finite element model of a smart structure such as uncertainty in the structural boundary conditions, in the material elastic properties, the dimensions of the structure, piezoelectric elastic and electric properties, and the location of the piezoelectric patches mounted on the structure. In the present analytical study, the above uncertainties present in the smart structure are reduced by using the direct updating algorithm. It is found that the direct updating method through updating the mass and the stiffness matrices of the smart structure successfully enhance the accuracy of the simulated finite element model of the beam embedded with PZT patches. The state-space method is used to predict the response in the frequency domain. The maximum percentage error in the simulated finite element model of the piezoelectric embedded beam structure due to its structural and the electrical property uncertainty is 10.36% and 23.52% respectively and that was completely removed by using the direct updating algorithm. The optimal location of the piezoelectric patches is also taken as uncertainty which is successfully updated by using the proposed direct updating algorithm. The maximum percentage error in the natural frequencies of the smart structure due to location uncertainty is 18.39% which was also completely removed. To validate the outcomes, a frequency response function (FRF) is plotted.

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“…Despite the extensive research on aluminum-based composites, there remains a noticeable gap in the exploration of leveraging lanthanum oxide (La2O3) reinforcement through the friction stir process (FSP) [29]. While FSP has been widely investigated for aluminum composite manufacturing, the utilization of La2O3 as a reinforcement material in this context is relatively unexplored [30]. Existing studies predominantly focus on other reinforcement materials or different fabrication techniques, leaving a significant void in understanding the potential benefits and challenges associated with incorporating La2O3 into aluminum composites via FSP.…”

Section: Introductionmentioning

confidence: 99%

Advancements in Aluminum-Based Composite Manufacturing: Leveraging La2O3 Reinforcement through Friction Stir Process

Kareem,

Raju,

et al. 2024

E3S Web of Conf.

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This study investigates the advancements in Aluminum-Based Composite Manufacturing through the incorporation of lanthanum oxide (La2O3) reinforcement using the Friction Stir Process (FSP). The pivotal role of precision machining, particularly the vertical milling machine, in executing FSP is emphasized. Specific parameters, including pin diameter, tool tilt angle, and rotational speed, were meticulously selected to ensure optimal performance. The uniform distribution of La2O3 particles within the composite matrix highlights the effectiveness of the fabrication process, indicating proper mixing and dispersion techniques. Experimental findings reveal significant improvements in mechanical properties, with a notable 22.78% enhancement in tensile strength, a significant 35.21% increase in hardness, a noteworthy 24.44% improvement in fatigue strength, and a substantial 28.68% increase in wear resistance observed in aluminum-La2O3 composites produced via FSP. These results underscore the potential of leveraging FSP for aluminum-based composite manufacturing, offering opportunities for the development of high-performance materials with enhanced mechanical properties and durability.

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Predicting the effect of fiber orientations and boundary conditions on the optimal placement of PZT sensor on the composite structures

Cited by 51 publications

References 35 publications

Revolutionizing Aluminum Composite Manufacturing: Harnessing Cr2O3 Reinforcement via Friction Stir Technique

Revolutionizing Aluminum Composite Manufacturing: Harnessing Cr2O3 Reinforcement via Friction Stir Technique

Finite element model updating of smart structures with direct updating algorithm

Advancements in Aluminum-Based Composite Manufacturing: Leveraging La2O3 Reinforcement through Friction Stir Process

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