PRADEEP KUMAR KARSH

Verified @gmail.com

Assistant Professor
Parul University

https://researchid.co/pradeepkarsh23

RESEARCH INTERESTS

Composite materials, Dynamic analysis, Advanced materials, Optimization techniques

Scopus Publications

644

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Stochastic Natural Frequencies Analysis of Hybrid Composites: A Numerical Approach
B. S. Thakkar and P. K. Karsh
Springer Science and Business Media LLC

Stochastic dynamic analysis of porous functionally graded plate: A multivariate adaptive regression splines approach

Experimental investigation of crest-to-crest wave spring and new lattice structure with enhanced load bearing capacity
M. Venkata Subramanian, D. Singh, R. R. Kumar, and P. K. Karsh
Springer Science and Business Media LLC

A Review on Fabrication and Application of Functionally Graded Material
Yagnik Patel and Pradeep Kumar Karsh
AIP Publishing

Effect of hygrothermal aging on novel hybrid composites: Transforming textile waste into a valuable product
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.

Evaluating Stochastic Fundamental Natural Frequencies of Porous Functionally Graded Material Plate with Even Porosity Effect: A Multi-Machine Learning Approach
Himanshu Prasad Raturi, Subrata Kushari, Pradeep Kumar Karsh, and Sudip Dey
Springer Science and Business Media LLC

Moment Independent Sensitivity Analysis of Porous Functionally Graded Plates Subjected to Free Vibrations
Himanshu Prasad Raturi, Vaishali, Subrata Kushari, Pradeep Kumar Karsh, and Sudip Dey
Springer Nature Singapore

Stochastic Natural Frequencies Analysis of Hybrid Composites: A Numerical Approach
B. S. Thakkar and P. K. Karsh
AIP Publishing

Stochastic Free Vibration and Impact Responses of Functionally Graded Plates: A Support Vector Machine Learning Model Approach
Vaishali, P. K. Karsh, S. Kushari, R. R. Kumar, and S. Dey
Springer Science and Business Media LLC

Sensitivity Analysis of Random Frequency Responses of Hybrid Multi-functionally Graded Sandwich Shells
Vaishali, S. Kushari, R. R. Kumar, P. K. Karsh, and S. Dey
Springer Science and Business Media LLC

Random free vibration analysis of porous functionally graded cantilever plates
H. P. Raturi, P. K. Karsh, and S. Dey
Springer Science and Business Media LLC

COMPARISON OF MULTIPLE SURROGATE MODELS PROBING UNCERTAINTY IN NATURAL FREQUENCY OF HYBRID FUNCTIONALLY GRADED SANDWICH CYLINDRICAL SHELLS
Vaishali, Pradeep K. Karsh, and Sudip Dey
Mathematical Sciences Publishers

Design & analysis of diaphragm for MEMS based pressure sensors
Vishal C. Thakar, Bhakti N. Patel, and P.K. Karsh
Elsevier BV

Effect of Thickness on Probabilistic Free Vibration of Hybrid FG-Sandwich Cylindrical Shells
Vaishali, S. Dey, and P. K. Karsh
Springer Singapore

Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms
T. Mukhopadhyay, S. Naskar, S. Chakraborty, P. K. Karsh, R. Choudhury, and S. Dey
Springer Science and Business Media LLC

Probabilistic Oblique Impact Analysis of Functionally Graded Plates – A Multivariate Adaptive Regression Splines Approach
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.

Multi-objective optimization of machining parameters during green machining of aerospace grade titanium alloy using Grey–Taguchi approach
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.

Stochastic Natural Frequencies of Functionally Graded Plates Based on Power Law Index
P. K. Karsh and S. Dey
Springer Singapore

Polynomial Neural Network Based Stochastic Natural Frequency Analysis of Functionally Graded Plates
Pradeep Kumar Karsh, Abhijeet Kumar, and Sudip Dey
Springer Singapore

Radial Basis Function-Based Stochastic Natural Frequencies Analysis of Functionally Graded Plates
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.

Parametric uncertainty quantification in natural frequency of sandwich plates using polynomial neural network
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.

Machine learning based stochastic dynamic analysis of functionally graded shells
Vaishali, T. Mukhopadhyay, P.K. Karsh, B. Basu, and S. Dey
Elsevier BV

Effect of delamination on natural frequencies of E-glass and S-glass epoxy composite plates
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.

A Stochastic Investigation of Effect of Temperature on Natural Frequencies of Functionally Graded Plates
P. K. Karsh, T. Mukhopadhyay, and S. Dey
Springer Singapore

Stochastic impact responses analysis of functionally graded plates
P. K. Karsh, R. R. Kumar, and S. Dey
Springer Science and Business Media LLC

RECENT SCHOLAR PUBLICATIONS

Stochastic natural frequencies analysis of hybrid composites: A numerical approach
BS Thakkar, PK Karsh
Mechanics of Composite Materials, 1-18 2025

Experimental investigation of crest-to-crest wave spring and new lattice structure with enhanced load bearing capacity
M Venkata Subramanian, D Singh, RR Kumar, PK Karsh
Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 2024

A review on fabrication and application of functionally graded material
Y Patel, PK Karsh
AIP Conference Proceedings 3107 (1) 2024

Effect of hygrothermal aging on novel hybrid composites: transforming textile waste into a valuable product
E Russel, B Nagappan, P Karsh, S Madhu, Y Devarajan, G Suresh, ...
Polymer Composites 45 (4), 3520-3535 2024

Evaluating stochastic fundamental natural frequencies of porous functionally graded material plate with even porosity effect: a multi-machine learning approach
HP Raturi, S Kushari, PK Karsh, S Dey
Journal of Vibration Engineering & Technologies 12 (2), 1931-1942 2024

Stochastic dynamic analysis of porous functionally graded plate: A multivariate adaptive regression splines approach
HP Raturi, PK Karsh, RR Kumar, S Dey
Structural Engineering and Mechanics 92 (3), 227 2024

Stochastic Free Vibration and Impact Responses of Functionally Graded Plates: A Support Vector Machine Learning Model Approach.
PK Karsh, S Kushari, RR Kumar, S Dey
Journal of Vibration Engineering & Technologies 11 (7) 2023

Stochastic Free Vibration and Impact Responses of Functionally Graded Plates: A Support Vector Machine Learning Model Approach
Vaishali, PK Karsh, S Kushari, RR Kumar, S Dey
Journal of Vibration Engineering & Technologies 11 (7), 2927-2943 2023

Sensitivity analysis of random frequency responses of hybrid multi-functionally graded sandwich shells
Vaishali, S Kushari, RR Kumar, PK Karsh, S Dey
Journal of Vibration Engineering & Technologies 11 (3), 845-872 2023

Comparison of multiple surrogate models probing uncertainty in natural frequency of hybrid functionally graded sandwich cylindrical shells
PK Karsh, S Dey
Journal of Mechanics of Materials and Structures 17 (2), 97-121 2022

Random free vibration analysis of porous functionally graded cantilever plates
HP Raturi, PK Karsh, S Dey
Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 2022

Radial Basis Function-Based Uncertain Low-Velocity Impact Behavior Analysis of Functionally Graded Plates
PK Karsh, RR Kumar, Vaishali, S Dey
Machine Learning Applied to Composite Materials, 77-97 2022

Design & analysis of diaphragm for MEMS based pressure sensors
VC Thakar, BN Patel, PK Karsh
Materials Today: Proceedings 65, 3683-3687 2022

Effect of Thickness on Probabilistic Free Vibration of Hybrid FG-Sandwich Cylindrical Shells
Vaishali, S Dey, PK Karsh
Recent Advances in Computational and Experimental Mechanics, Vol—I: Select 2022

Moment Independent Sensitivity Analysis of Porous Functionally Graded Plates Subjected to Free Vibrations
HP Raturi, Vaishali, S Kushari, PK Karsh, S Dey
International Conference on Vibration Engineering and Technology of 2021

Probabilistic Oblique impact analysis of functionally graded plates–a multivariate adaptive regression splines approach
PK Karsh, B Thakkar, RR Kumar, S Dey
European Journal of Computational Mechanics, 223-254 2021

Multi-objective optimization of machining parameters during green machining of aerospace grade titanium alloy using Grey–Taguchi approach
P Kumar, PK Karsh, JP Misra, J Kumar
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of 2021

Stochastic oblique impact on composite laminates: a concise review and characterization of the essence of hybrid machine learning algorithms
T Mukhopadhyay, S Naskar, S Chakraborty, PK Karsh, R Choudhury, ...
Archives of Computational Methods in Engineering 28 (3), 1731-1760 2021

Fuzzy modeling of surface roughness during wet turning of AISI D3 tool steel
P Kumar, PK Karsh
IOP Conference Series: Materials Science and Engineering 1120 (1), 012026 2021

Stochastic Natural Frequencies of Functionally Graded Plates Based on Power Law Index
PK Karsh, S Dey
Computational Mathematics, Nanoelectronics, and Astrophysics: CMNA 2018 2021

MOST CITED SCHOLAR PUBLICATIONS

Stochastic dynamic analysis of twisted functionally graded plates
PK Karsh, T Mukhopadhyay, S Dey
Composites Part B: Engineering 147, 259-278 2018
Citations: 93

Spatial vulnerability analysis for the first ply failure strength of composite laminates including effect of delamination
PK Karsh, T Mukhopadhyay, S Dey
Composite Structures 184, 554-567 2018
Citations: 74

Effect of delamination on the stochastic natural frequencies of composite laminates
T Mukhopadhyay, S Naskar, PK Karsh, S Dey, Z You
Composites Part B: Engineering 154, 242-256 2018
Citations: 72

Stochastic low-velocity impact on functionally graded plates: probabilistic and non-probabilistic uncertainty quantification
PK Karsh, T Mukhopadhyay, S Dey
Composites Part B: Engineering 159, 461-480 2019
Citations: 67

Machine learning based stochastic dynamic analysis of functionally graded shells
T Mukhopadhyay, PK Karsh, B Basu, S Dey
Composite Structures 237, 111870 2020
Citations: 59

A hybrid stochastic sensitivity analysis for low-frequency vibration and low-velocity impact of functionally graded plates
PK Karsh, T Mukhopadhyay, S Chakraborty, S Naskar, S Dey
Composites Part B: Engineering 176, 107221 2019
Citations: 48

Radial basis function-based stochastic natural frequencies analysis of functionally graded plates
PK Karsh, RR Kumar, S Dey
International Journal of Computational Methods 17 (09), 1950061 2020
Citations: 29

Stochastic investigation of natural frequency for functionally graded plates
PK Karsh, T Mukhopadhyay, S Dey
IOP conference series: materials science and engineering 326 (1), 012003 2018
Citations: 25

Stochastic impact responses analysis of functionally graded plates
PK Karsh, RR Kumar, S Dey
Journal of the Brazilian Society of Mechanical Sciences and Engineering 41 2019
Citations: 24

Stochastic natural frequency analysis of skewed sandwich plates
RR Kumar, PK Karsh, KM Pandey, S Dey
Engineering Computations 36 (7), 2179-2199 2019
Citations: 21

Multi-characteristic optimization in wire electrical discharge machining of inconel-625 by using taguchi-grey relational analysis (GRA) approach: optimization of an existing
PK Karsh, H Singh
Design and optimization of mechanical engineering products, 281-303 2018
Citations: 8

A stochastic investigation of effect of temperature on natural frequencies of functionally graded plates
PK Karsh, T Mukhopadhyay, S Dey
Advances in Structural Engineering and Rehabilitation: Select Proceedings of 2019
Citations: 6

Hierarchical Composite Materials: Materials
KO Abdulrahman, AM Abed, A Bayode, S Bhowmick, S Dey, TD Hien, ...
Manufacturing, Engineering 8 2018
Citations: 6

Optimization of process parameters for surface roughness of Inconel 625 in Wire EDM by using Taguchi method
PK Karsh, H Singh
IOSR J. Mech. Civ. Eng 3 (03), 58-63 2016
Citations: 5

Parametric uncertainty quantification in natural frequency of sandwich plates using polynomial neural network
PK Karsh, HP Raturi, RR Kumar, S Dey
IOP conference series: materials science and engineering 798 (1), 012036 2020
Citations: 4