Tanmoy Mukhopadhyay

University of Southampton

Different components of rotating machines inevitably experience variations in angular speed due to intermittent activation of the driving power while controlling the speed at a target level. The effect of such fluctuation in high-speed rotating structural components is proposed to be exploited here for the dual purpose of energy harvesting and spee...

https://elearn.nptel.ac.in/shop/iit-workshops/ongoing/micro-and-nano-architected-mechanical-metamaterials-multi-scale-physics-based-simulations-coupled-with-machine-learning/?v=79cba1185463

Inspired by several biological structures available in nature, bio-inspired composite structures are evidenced to exhibit a noteworthy enhancement in various mechanical and multi-physical performances as compared to conventional structures. This article proposes to exploit the architecture of annual ring growth of the stems of trees for developing...

Mechanical analysis of the complex configurations of composite laminates can be computationally prohibitive based on accurate higher-order theories, especially when the analyses involve multiple realizations corresponding to different sets of input parameters such as uncertainty quantification, optimization, reliability and sensitivity analysis. Ef...

Analytical investigations to characterize the effective mechanical properties of lattice materials allow an in-depth exploration of the parameter space efficiently following an insightful, yet elegant framework. 2D lattice materials, which have been extensively dealt with in the literature following analytical as well as numerical and experimental...

After tremendous progress in computationally conceptualizing and manufacturing lattice metamaterials with complex cell geometries over the last decade, a strong rationale has evolved lately to achieve active and on-demand property modulation in real-time with greater sensitivity. Traditionally materials show an uncoupled response between normal and...

Honeycombs represent common cellular structures characterised by two-dimensional arrays of unit cells arranged in-plane and stacked parallelly in the out-of-plane direction, exhibiting a periodic structure. Due to the interconnected network of these unit cells, honeycombs possess higher porosity and lower mass density than their matrix materials, r...

This article provides an overview of recent advances, challenges, and opportunities in multiscale computational modeling techniques for study and design of two-dimensional (2D) materials. We discuss the role of computational modeling in understanding the structures and properties of 2D materials, followed by a review of various length-scale models...

To automate the approach of assessing the health and efficacy of large structural systems globally through structural health monitoring systems, a vast network of sensors that must be mounted throughout the entire structure and connected to a continuous power supply is necessary. Clusters of wires need to be placed throughout the structures to supp...

Owing to the architected void-filled low-density configurations, metamaterials are prone to defects during the complex manufacturing process, or damages under operational conditions. Recently mechanical cloaking has been proposed to shield the effect of such disorders in terms of homogenized mechanical responses. The major drawback in these studies...

The large compositional space of high entropy alloys (HEA) often presents significant challenges in comprehensively deducing the critical influence of atomic composition on their mechanical responses. We propose an efficient nonparametric kernel-based probabilistic computational mapping to obtain the optimal composition of HEAs under ballistic cond...

Design of high entropy alloys (HEA) presents a significant challenge due to the large compositional space and composition-specific variation in their functional behavior. The traditional alloy design would include trial-and-error prototyping and high-throughput experimentation, which again is challenging due to large-scale fabrication and experimen...

Bi-level tailoring of cellular metamaterials involving a dual design space of unit cell and elementary beam level architectures has recently gained traction for the ability to achieve extreme elastic constitutive properties along with modulating multi-functional mechanical behavior in an unprecedented way. This article proposes an efficient analyti...

An optimum layout for two-dimensional honeycomb lattices with piezoelectric patches implanted into their cell walls is put forward in this research. The elastic characteristics are quantified at the lattice level integrating a bottom-up mechanics-based technique in conjunction with an RVE-based finite-element formulation. Higher voltage sensitivity...

Particulate Polymer Composites (PPC) are crucial in engineering due to their distinctive properties. Incorporating particulate fillers enhances mechanical properties, enabling engineers to customize material design for specific applications and offering flexibility in manufacturing components across various industries. Hence, the significance of PP...

The Poisson's effect, which is a compressive force applied longitudinally, has a limited tendency to cause engineering materials used for structural purposes to only grow in the lateral dimensions. We demonstrate varied auxeticity within the context of multi-material unit cells using the bending-dominated behaviour of elementary beams with variable...

Main paper link: https://www.researchgate.net/publication/378908801_Active_mechanical_cloaking_for_unsupervised_damage_resilience_in_programmable_elastic_metamaterials

As a consequence of intense investigation on possible topologies of periodic lattices, the limit of specific elastic moduli that can be achieved solely through unit cell-level geometries in artificially-engineered lattice-based materials has reached a point of saturation. There exists a robust rationale to involve more elementary-level mechanics fo...

Solidification phenomenon has been an integral part of the manufacturing processes of metals, where the quantification of stochastic variations and manufacturing uncertainties is critically important. Accurate molecular dynamics (MD) simulations of metal solidification and the resulting properties require excessive computational expenses for probab...

Modulation of mechanical properties at the higher length scale by innovative cell wall geometry and material designs at the lower length scale to fulfil multi-functional requirements is an active research area on mechanical metamaterials. In the design space of innovative cell wall geometry, we introduce anti-curvature to the honeycomb lattice cell...

We are organizing a mini-symposium on "Active Programmability and Artificial Intelligence in Mechanical Metamaterials" as part of ECCOMAS2024, to be held in Lisbon, June 2024. Please consider submitting an abstract in the next few days under #MS241. Link: https://eccomas2024.org/event/area/c72ba465-981f-11ee-8a2d-000c29ddfc0c

Carbon nanotubes are drawing wide attention of research communities and several industries due to their versatile capabilities covering mechanical and other multi-physical properties. However, owing to extreme operating conditions of the synthesis process of these nanostructures, they are often imposed with certain inevitable structural deformities...

The nonlinear stability characteristics of doubly curved panels made of three-phase composites with randomly dispersed carbon nanotubes (RD-CNTRFC) subjected to practically-relevant non-uniform in-plane loads are investigated in this study. Carbon nanotubes, when mixed with resin polymer, may give rise to bundles, termed as agglomerations, which ca...

Soft transduction technology is rapidly adopting soft active elastomer-based minimum energy structures because of their distinctive programmable shape-morphing characteristics. For effective device design, an understanding of the nonlinear dynamic behavior is crucial as they often experience time-dependent motion while operating. Moreover, there ha...

The application of smart materials and metastructures has been rapidly increasing in advanced multiphysical systems because of their ability to modify mechanical responses by adding circuits in a programmable way. This paper proposes to exploit functional gradation and programmed disorder for flexural wave manipulation to enhance broadband vibratio...

Two-dimensional materials with a single or few layers are exciting nano-scale materials that exhibit unprecedented multi-functional properties including optical, electronic, thermal, chemical and mechanical characteristics. A single layer of different 2D materials or a few layers of the same material may not always have the desired application-spec...

The electromechanical responses of single and multi-layered piezoelectric functionally graded graphene-reinforced composite (FG-GRC) plates are studied based on an accurate higher-order shear deformation theory (HSDT) involving quasi-3D sinusoidal plate theory and linear piezoelectricity. These FG-GRC plates are composed of randomly oriented graphe...

Lightning strike damage can severely affect the thermo-mechanical performance of composite laminates. It is essential to quantify the effect of lightning strikes considering the inevitable influence of material and geometric uncertainties for ensuring the operational safety of aircraft. This paper presents an efficient support vector machine (SVM)-...

This paper portrays the natural frequencies and mode shapes of composite circular plate being inspired from the construction of annual rings at stem of the tree. This bio-inspired concentric circular orientation of fibers unlike annual ring model can be utilized as structural components of engineering systems. Each layer of concentric circular fibe...

Traditionally lattice materials are made of a network of beams in two and three dimensions with majority of the lattice volume being void space. Recently researchers have started exploring ways to exploit this void space for multi-physical property modulation of lattices such as global mechanical behaviour including different elastic moduli, wave p...

Recently machine learning (ML) based approaches have gained significant attention in dealing with computationally intensive analyses such as uncertainty quantification of composite laminates. However, high-fidelity ML model construction is computationally demanding for such high-dimensional problems due to the required large amount of high-fidelity...

Mechanical metamaterials are engineered materials with unconventional mechanical behavior that originates from artificially programmed microstructures along with intrinsic material properties. With tremendous advancement in computational and manufacturing capabilities to realize complex microstructures over the last decade, the field of mechanical...

Effective elastic moduli of lattice-based materials are one of the most crucial parameters for the adoption of such artificial microstructures in advanced mechanical and structural systems as per various application-specific demands. In conventional naturally occurring materials, these elastic moduli remain invariant under tensile and compressive n...

Composite Structures Available online 2 February 2023, 116756 In Press, Journal Pre-proofWhat are Journal Pre-proof articles? Random forest-based surrogates for transforming the behavioral predictions of laminated composite plates and shells from FSDT to Elasticity solutions Author links open overlay panelA.GargaL.Lid https://doi.org/10.1016/j.comp...

Engineered honeycomb lattice materials with high specific strength and stiffness along with the advantage of programmable direction-dependent mechanical tailorability are being increasingly adopted for various advanced multifunctional applications. To use these artificial microstructures with unprecedented mechanical properties in the design of dif...

This article explores the coupled static and dynamic electromechanical responses of single and multilayered functionally graded (FG) graphene platelet (GPL)‐reinforced piezoelectric composite (GRPC) plates by developing a 3D finite‐element model. The bending and eigenfrequency of piezoelectric FG composite plates are investigated, wherein an active...

This paper proposes an accurate three-dimensional framework for elastic and viscoelastic free vibration investigation of in-plane functionally graded (IPFG) orthotropic rectangular plates integrated with piezoelectric sensory layers. The developed {analytical} framework is capable of considering layer-wise unidirectional linear functional gradation...

Available shear deformation theories (SDTs) in the literature have their own merits and demerits. Among SDTs, first-order shear deformation theory (FSDT) and higher-order shear deformation theories (HSDT) are most widely used for the analysis of laminated composite and sandwich (LCS) beams. However, these theories are not able to predict the contin...

Motivated by recent discoveries concerning the extreme superiority of multilayer graphene in terms of kinetic energy dissipation compared to conventional monolithic materials, this article investigates the ballistic performance and physics-informed strategic sequencing of graphene-reinforced aluminum laminates under the influence of random disorder...

Conventional bending-dominated lattices exhibit less specific stiffness compared to stretching-dominated lattices while showing high specific energy absorption capacity. This article aims to improve the specific stiffness of bending-dominated lattices by introducing elementary-level programmed curvature through a multi-level hierarchical framework....

Architected lattice materials, realized through artificial micro‐structuring, have drawn tremendous attention lately due to their enhanced mechanical performances in multifunctional applications. However, the research area on the design of artificial microstructures for the modulation of mechanical properties is increasingly becoming saturated due...

1. ABSTRACT Inflatable structures are made up of highly thin membranes and have the ability to take complex shapes upon deployment. Due to their lightweight and low mass, they have become an obvious choice over rigid solid structures and are extensively used in the aerospace sector. In the present work, we have presented the analytical expression o...

Developing sensors for monitoring physiological parameters such as temperature and strain for point of care (POC) diagnostics is critical for better care of the patients. Various commercial sensors are available to get the job done; however, challenges like the structural rigidity of such sensors confine their usage. As an alternative, flexible sen...

Engineering materials used for structural applications have a limited tendency to only expand in the lateral directions when subjected to a compressive force applied longitudinally, commonly known as the Poisson's effect. Based on the bending-dominated behaviour of elementary beams with variable curvature, we illustrate diverse auxeticity within th...

2D lattices are widely popular in micro-architected metamaterial design as they are easy to manufacture and provide lightweight multifunctional properties. The mechanical properties of such lattice structures are predominantly an intrinsic geometric function of the microstructural topology, which are generally referred to as passive metamaterials s...

Over the last decade, lattice-based artificial materials have demonstrated the possibility of tailoring multifunctional capabilities that are not achievable in traditional materials. While a large set of mechanical properties can be simultaneously modulated by adopting an appropriate network architecture in the conventional periodic lattices, the p...

In the present work, bending and free vibration analyses of multilayered functionally graded (FG) graphene platelet (GPL) and fiber-reinforced hybrid composite beams are carried out using higher-order shear deformation theory. Parabolic variation of transverse shear stress across the thickness of beam and transverse shear stress-free condition at t...

Microstructural image based convolutional neural networks for efficient prediction of full-field stress maps in short fiber polymer composites Abstract The increased demand for superior materials has highlighted the need of investigating the mechanical properties of composites to achieve enhanced constitutive relationships. Fiber-reinforced polymer...

First-order shear deformation theory (FSDT) is less accurate compared to higher-order theories like higher-order zigzag theory (HOZT).In case of large-scale simulation-based analyses like uncertainty quantification and optimization using FSDT, such errors propagate and accumulate over multiple realizations, leading to significantly erroneous result...

The increased demand for superior materials has highlighted the need of investigating the mechanical properties of composites to achieve enhanced constitutive relationships. Fiber-reinforced polymer composites have emerged as an integral part of materials development with tailored mechanical properties. However, the complexity and heterogeneity of...

Randomness in the media breaks its periodicity affecting the vibration and wave propagation performance. Such disorder caused by the variability may lead to interesting physical phenomena such as trapping and scattering waves, wave reflection, and energy localisation. While the randomness may be attributed to manufacturing irregularities and quantify...

This paper presents an experimental investigation supported by data-driven approaches concerning the influence of critical stochastic effects on the dynamic fracture toughness of glass-filled epoxy composites using a computationally efficient framework of uncertainty quantification. Three different shapes of glass particles are considered including...

The accuracy of predicting the behaviour of structure using finite element (FE) depends widely on the precision of the evaluation of the stiffness matrix. In the present article, an attempt has been made to evaluate the stiffness matrix of functionally graded (FG) nanoplate using Gaussian process regression (GPR) based surrogate model in the framew...

Honeycomb lattices exhibit remarkable structural properties and novel functionalities, such as high specific energy absorption, excellent vibroacoustic properties, and tailorable specific strength and stiffness. A range of modern structural applications demands for maximizing the failure strength and energy absorption capacity simultaneously with t...