PRADEEP KUMAR KARSH
Verified @gmail.com
Assistant Professor
Parul University
RESEARCH INTERESTS
Composite materials, Dynamic analysis, Advanced materials, Optimization techniques
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
M. Venkata Subramanian, D. Singh, R. R. Kumar, and P. K. Karsh
Springer Science and Business Media LLC
Yagnik Patel and Pradeep Kumar Karsh
AIP Publishing
Eastus Russel, Beemkumar Nagappan, Pradeepkumar Karsh, S. Madhu, Yuvarajan Devarajan, G. Suresh, and R. Vezhavendhan
Wiley
AbstractThe textile industry now produces thousands of tons of waste worldwide, and the total amount of discarded material waste increases yearly. Hygrothermal aging of cotton/E‐glass (hybrid) fiber reinforced with various proportions of graphene oxide (0%, 1%, 3%, 5%, 7%, and 9%) was performed. Epoxy and vinyl ester (50:50) have been chosen because of the Interpenetrating Polymer Networks (IPNs) concept. Laminates were subjected to 50, 60, and 70°C temperatures for 180 days. Further, Tg and the degree of cross‐linking have been determined by using differential scanning calorimetry (DSC). DSC analysis proves that a hot water bath enhances the cross‐linking of the polymer. IPN laminates were also intermittently weighed for water uptake, and their consecutive mechanical properties like tensile, flexural, and impact strength were obtained. From this work, it was observed that the addition of 5 w.t% graphene oxide in cotton/E glass fiber vinyl ester/epoxy resin hybrid IPN composites showed a tensile strength of 375.61 MPa, flexural strength of 393.54 MPa, Interlaminar shear strength (ILSS) of 49 MPa and the impact strength of 22.54 MPa. Moreover, the lowest inclusion of particulate addition exhibits better mechanical properties than (up to 5% of GO) the highest particulate loading into the matrix. SEM study was conducted on the broken specimens to know the impact of diffusion characteristics on the physical properties of the IPN composites.Highlights Natural and synthetic fibers are used as reinforcements. Waste cotton/E glass fiber vinyl epoxy composites are fabricated. Laminates were subjected to diverse temperatures for 180 days. The moisture diffusion coefficient is proportional to water temperature. Bathtub temperature affects the tensile strength of the laminate.
Himanshu Prasad Raturi, Subrata Kushari, Pradeep Kumar Karsh, and Sudip Dey
Springer Science and Business Media LLC
Himanshu Prasad Raturi, Vaishali, Subrata Kushari, Pradeep Kumar Karsh, and Sudip Dey
Springer Nature Singapore
B. S. Thakkar and P. K. Karsh
AIP Publishing
Vaishali, P. K. Karsh, S. Kushari, R. R. Kumar, and S. Dey
Springer Science and Business Media LLC
Vaishali, S. Kushari, R. R. Kumar, P. K. Karsh, and S. Dey
Springer Science and Business Media LLC
H. P. Raturi, P. K. Karsh, and S. Dey
Springer Science and Business Media LLC
Vaishali, Pradeep K. Karsh, and Sudip Dey
Mathematical Sciences Publishers
Vishal C. Thakar, Bhakti N. Patel, and P.K. Karsh
Elsevier BV
Vaishali, S. Dey, and P. K. Karsh
Springer Singapore
T. Mukhopadhyay, S. Naskar, S. Chakraborty, P. K. Karsh, R. Choudhury, and S. Dey
Springer Science and Business Media LLC
P. K. Karsh, Bindi Thakkar, R. R. Kumar, Vaishali, and Sudip Dey
River Publishers
Purpose: To investigate the probabilistic low-velocity impact of functionally graded (FG) plate using the MARS model, considering uncertain system parameters. Design/methodology/application: The distribution of various material properties throughout FG plate thickness is calculated using power law. For finite element (FE) formulation, isoparametric elements with eight nodes are considered, each component has five degrees of freedom. The combined effect of variability in material properties such as elastic modulus, modulus of rigidity, Poisson’s ratio, and mass density are considered. The surrogate model is validated with the FE model represented by the scatter plot and the probability density function (PDF) plot based on Monte Carlo simulation (MCS). Findings: The outcome of the degree of stochasticity, impact angle, impactor’s velocity, impactor’s mass density, and point of impact on the maximum value of contact force (CFmax ), plate deformation (PDmax), and impactor deformation (IDmax ) are determined. A convergence study is also performed to determine the optimal number of the constructed MARS model’s sample size. Originality/value: The results illustrate the significant effects of uncertain input parameters on FGM plates’ low-velocity impact responses by employing a surrogate-based MARS model.
Pawan Kumar, Pradeep K Karsh, Joy P Misra, and Jatinder Kumar
SAGE Publications
This paper presents multi-objective optimization of aerospace-grade titanium alloy using the Gray–Taguchi approach. Experimentation has been conducted with varying cutting conditions according to Taguchi's L9 orthogonal array. Tool nose wear, tool flank wear, surface roughness and material removal rate are employed as process characteristics. The experimental outcomes are statistically analyzed using the Grey–Taguchi approach. Statistical and sensitivity analysis are also performed. Studies revealed that cutting speed and feed rate are having a significant influence on process performances. Micro analysis of cutting tool is also performed to study the kind of wear. Furthermore, chips were also analysed using scanning electron microscope to study its features and morphology to obtain a better insight into the process.
P. K. Karsh and S. Dey
Springer Singapore
Pradeep Kumar Karsh, Abhijeet Kumar, and Sudip Dey
Springer Singapore
P. K. Karsh, R. R. Kumar, and S. Dey
World Scientific Pub Co Pte Lt
This paper deals with portraying the stochastic natural frequencies of cantilever plates made up of functionally graded materials (FGMs) by employing the radial basis function (RBF)-based finite element (FE) approach. The material modeling of FGM plates is carried out by employing three different distribution laws, namely power law, sigmoid law, and exponential law. A generalized algorithm is developed for uncertainty quantification of natural frequencies of the FGM structures due to stochastic variation in the material properties and temperature. The deterministic FE code is validated with the previous literature, whereas convergence study is carried out in between stochastic results obtained from full scale direct Monte Carlo Simulation (MCS) and MCS results obtained from RBF surrogate model of different sample sizes. The percentage of error present in the RBF model is also determined. The influence of crucial parameters such as distribution law, degree of stochasticity, power law index and temperature are determined for natural frequencies analysis of FGMs plates. The results illustrate the input parameters considered in the present study have significant effects on the first three stochastic natural frequencies of cantilever FGM plates.
P. K. Karsh, H. P. Raturi, R. R. Kumar, and S. Dey
IOP Publishing
Abstract In this paper, uncertainty quantification in natural frequencies for laminated soft core sandwich plates is presented by employing finite element (FE) coupled polynomial neural network (PNN) approach. The computational efficiency and accuracy is achieved by using PNN as surrogate model. Latin hypercube sampling method is employed for training of data in PNN model. The stochastic first three natural frequencies of sandwich plates are studied for individual variation in input parameters. The stochasticity in individual input parameters are considered in order to assess their influence on global response of the structure. The algorithm discussed in this article is observed to be converging with the previously published literature (for deterministic case) and validated with full scale Monte Carlo simulation (MCS) i.e. original finite element approach (for stochastic case). The computational time and cost reduced significantly by employing the present surrogate based FE approach compared to that of conventional Monte Carlo simulation approach.
Vaishali, T. Mukhopadhyay, P.K. Karsh, B. Basu, and S. Dey
Elsevier BV
P. K. Karsh, Bindi Thakkar, R. R. Kumar, Abhijeet Kumar, and Sudip Dey
River Publishers
The delamination is one of the major modes of failure occurring in the laminated composite due to insufficient bonding between the layers. In this paper, the natural frequencies of delaminated S-glass and E-glass epoxy cantilever composite plates are presented by employing the finite element method (FEM) approach. The rotary inertia and transverse shear deformation are considered in the present study. The effect of parameters such as the location of delamination along the length, across the thickness, the percentage of delamination, and ply-orientation angle on first three natural frequencies of the cantilever plates are presented for S-glass and E-glass epoxy composites. The standard eigenvalue problem is solved to obtain the natural frequencies and corresponding mode shapes. First three mode shape of S-Glass and E-Glass epoxy laminated composites are portrayed corresponding to different ply angle of lamina.
P. K. Karsh, T. Mukhopadhyay, and S. Dey
Springer Singapore
P. K. Karsh, R. R. Kumar, and S. Dey
Springer Science and Business Media LLC
P.K. Karsh, T. Mukhopadhyay, S. Chakraborty, S. Naskar, and S. Dey
Elsevier BV