Dr Amit Sharma

Scopus Publications

Prediction of recast layer for EDM drilled hole in Ti6Al4V sheet using artificial intelligence
Tasnim Arif, Amit Sharma
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 2026
Electrical Discharge Drilling (EDD) is widely used for machining difficult-to-cut titanium alloys. However, thermal damage in the form of recast layer thickness (RLT) significantly affects the surface integrity and reliability of drilled components. This study develops an artificial intelligence-based predictive framework using Adaptive Neuro-Fuzzy Inference System (ANFIS) integrated with Fuzzy C-Means (FCM) clustering and hybrid optimization techniques to model RLT during EDD. Experiments were conducted using a full factorial design considering discharge current, pulse-on time, pulse-off time, and dielectric pressure. A total of 81 experiments were performed, where 60 datasets were used for training and 21 for testing. Among all models, ANFIS achieved the best prediction accuracy (Mean average error = 0.0497, Root mean square error = 0.041, Variance accounted for = 82.33%, and coefficient of determination R 2 = 0.816), outperforming hybrid FCM models ( R 2 ≈ 0.56–0.68). Parametric analysis revealed that higher discharge current and pulse-on time increase RLT, whereas higher pulse-off time and dielectric pressure reduce RLT due to improved cooling and flushing. The proposed intelligent framework enables reliable prediction of recast layer formation and supports optimization of EDM drilling parameters for improved surface integrity of titanium alloy components.
Parametric Study of Electric Discharge Grinding of Hybrid Composite Material
Basanta Kumar Bhuyan, Nikhil Agarwal, Amit Sharma
Lecture Notes in Mechanical Engineering, 2026
Experimental Investigation of Mechanical Properties of Glass Wool Fiber-Based Epoxy Nanocomposites
Vijay Kumar Dwivedi, Amit Sharma, Rajat Yadav, Rakesh Kumar Phanden
Lecture Notes in Mechanical Engineering, 2026
Parametric investigation in electrical discharge drilling of Ti-alloy using ANFIS
Md Tasnim Arif, Amit Sharma
Concurrent Engineering Research and Applications, 2025
The need for precise and efficient manufacturing processes is rapidly growing worldwide for the conversion of biomaterials into highly accurate and precise artificial implants and medical devices. Ti-based alloys are particularly used for implants and bone plate materials because they have good mechanical as well as biological properties. Predicting increased productivity during EDD of Ti-6Al-4V alloy with less tool damage and improved dimensional accuracy of the drilled hole is proposed in the study. Process performance was evaluated in terms of metal removal rate (MRR), tool wear rate (TWR), and hole taper (HT), as functions of discharge current, pulse-on time, pulse-off time, and dielectric pressure. A hybrid modeling approach combining Adaptive Neuro-Fuzzy Inference System (ANFIS) model integrating artificial neural networks (ANN) and fuzzy logic (FL) was employed to capture the non-linear relationships among variables. The model exhibited a close agreement with experimental results, with prediction errors 1.04% for MRR, 5.65% for TWR and 4.12% for HT. Discharge current and dielectric pressure were identified as the most influential parameters. While the proposed approach effectively predicts process behavior within the experimental range, its applicability beyond the tested parameter domain requires further validation. The study demonstrates the potential of hybrid modeling for achieving enhanced precision and efficiency in the fabrication of biomedical components.
Taguchi Analysis on Cathodically Protected Steel in Simulated Concrete Pore Solution
Amit Sharma, Yogesh Iyer Murthy, Ashwanikant Sharma
Lecture Notes in Civil Engineering, 2025
A MCDM-Based Approach for the Selection of Industrial Robots for Arc Welding Process
Durgeshwar Pratap Singh, Shwetank Avikal, Harvindra Singh, Shivani Monga, Amit Sharma
Lecture Notes in Mechanical Engineering, 2025
Statistical Analysis and Data-Driven Modeling of Hole Circularity in EDD of Aerospace Material
Kedari Lal Dhaker, Amit Sharma, Tasnim Arif, Gaurav Shukla, Akshat Shukla, Shwetank Avikal
Lecture Notes in Mechanical Engineering, 2025
Investigation of excellence in Nd-YAG laser cutting of Al6061-T6 thin sheet using GRA coupled with PCA
Amit Sharma, Priyanka Joshi, Basanta Kumar Bhuyan, Rakesh Kumar Phanden
Engineering Research Express, 2024
Cutting flying materials with minimum deviations and metallurgical damages is always preferred for airframe work in aircraft industries. In the present scenario, the laser cutting process has become the preferred choice for fine cutting of sheet materials with close tolerances. This paper reports the investigation of excellence in pulsed laser cutting of Al-alloy (Al6061-T6) sheet. Five quality characteristics for quantifying the dimensional accuracy (i.e., kerf width and deviation at the top and bottom side) and metallurgical damage (i.e., heat-affected zone) have been considered for the proposed work. These characteristics depend on the lamp current, laser parameters (pulse width and frequency), and relative motion between the sheetmetal and laser source. The experiments were performed using the design of the experiments technique. Further, the results of laser cutting have been optimized by using grey relational analysis (GRA) coupled with principal component analysis (PCA). The application of GRA-PCA is found capable of optimizing all five process responses at a time. The unevenness within the kerf is reduced by 22% and 32% at the top and bottom sides, respectively.
Comparative analysis of laser profile cutting of Ni-based superalloy sheet using RSM and ANN
Amit Sharma, Priyanka Joshi
International Journal on Interactive Design and Manufacturing, 2024
Empirical modeling and optimization of kerf characteristics in Nd-YAG laser cutting of Al 6061-T6 sheet
Amit Sharma, Priyanka Joshi, Kuldeep K Saxena
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2024
Al alloys are the second most useful metal worldwide after the steel due to its high strength-to-weight ratio and corrosion resistance properties. In the present scenario, for creating contours in the sheet metals with close tolerances and high precision, laser beam cutting is preferred. During laser beam cutting of Al alloys, the reflectivity of the alloy possesses some difficulties to absorb the laser light. Such problems can be avoided using the shorter wavelength laser. This paper presents the modeling and optimization of kerf characteristics in Nd-YAG laser cutting of Al 6061-T6 sheet. In this study, kerf width (top and bottom side) and top kerf deviation are considered as kerf characteristics which are the functions of lamp current, pulse width, pulse frequency, and cutting speed. Box–Behnken design has been used for conducting the experiments and the experimental results have been further used for developing the response surface models and optimizing the responses using response surface methodology and grey relational analysis, respectively. Application of grey relational analysis has reduced the bottom kerf width by 12.5% and 7.75% along with straight and curved cut profiles respectively.
Effects of fiber type, content, orientation, and surface treatments on the mechanical properties of PAFRP composite
Siddhant Pratap Singh, Amit Sharma, Vivekanand Singh, Sanjay Mishra
Engineering Research Express, 2024
Experimental investigation in sustainable electric discharge drilling of Inconel alloy using grey-based fuzzy logic approach
Tasnim Arif, Amit Sharma
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2024
Tensile Behavior of Jute-Carbon Reinforced Polymer Matrix Composite Using ABAQUS
Amit Sharma, Aman Thakur, Rakesh Kumar Phanden
Lecture Notes in Mechanical Engineering, 2024
Optimization of MRR and TWR in Electric Discharge Drilling of Ti-Alloy Using Hybrid Approach of Taguchi-Based GRA and PCA
Md. Tasnim Arif, Amit Sharma
Lecture Notes in Mechanical Engineering, 2023
Simulation of tensile behaviour of carbon fiber reinforced polymer matrix composite
V. Dwivedi, P. Mandla, D. Gupta, R. Chandel, A. Sharma
Materials Today Proceedings, 2023
Investigation of parametric influences during the cutting of contours in 6061-T6 aluminium alloy sheet using a pulsed Nd:YAG laser
Lasers in Engineering, 2020
Empirical Modelling of Kerf Characteristics in Laser Profile Cutting of Ni-Superalloy
P. Joshi, A. Sharma, V. Singh
Smart Innovation Systems and Technologies, 2020
Nd:YAG Laser Cutting of Ni-Based Superalloy Thin Sheet: Experimental Modeling and Process Optimization
P. Joshi, A. Sharma, V. Yadava, Y. K. Modi
Lecture Notes on Multidisciplinary Industrial Engineering, 2019
Simultaneous optimization of kerf taper and heat affected zone in Nd-YAG laser cutting of Al 6061-T6 sheet using hybrid approach of grey relational analysis and fuzzy logic
Priyanka Joshi, Amit Sharma
Precision Engineering, 2018
Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology
Priyanka Joshi, Amit Sharma
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018
Analysis of Tool Chatter in Terms of Chatter Index and Severity Using a New Adaptive Signal Processing Technique
Y. Shrivastava, B. Singh, A. Sharma
Experimental Techniques, 2018
Optimization of dimensional accuracy for the Nd:YAG laser cutting of aluminium alloy thin sheet using a hybrid approach
Lasers in Engineering, 2018
Experimental analysis of Nd-YAG laser cutting of sheet materials – A review
Amit Sharma, Vinod Yadava
Optics and Laser Technology, 2018
Identification of Chatter in Turning Operation using WD and EMD
Yogesh Shrivastava, Bhagat Singh, Amit Sharma
Materials Today Proceedings, 2018
Optimization of process parameters during laser cutting of Ni-based superalloy thin sheet using response surface methodology
Priyanka Joshi, Amit Sharma, Yashwant Kumar Modi
Materials Today Proceedings, 2018
Modelling and optimization of cut quality characteristics for pulsed Nd:YAG laser curved profile cutting of Ni-based superalloy thin sheet
Lasers in Engineering, 2015
Intelligent modelling and multi-objective optimisation of laser beam cutting of nickel based superalloy sheet
Amit Sharma, Vinod Yadava, K. B. Judal
International Journal of Manufacturing Materials and Mechanical Engineering, 2013
Modelling and optimization of cut quality during pulsed Nd:YAG laser cutting of thin Al-alloy sheet for curved profile
Amit Sharma, Vinod Yadava
Optics and Lasers in Engineering, 2013
Simultaneous optimisation of average kerf taper and surface roughness during pulsed Nd: YAG laser cutting of thin Al-alloy sheet for straight profile
Amit Sharma, Vinod Yadava
International Journal of Manufacturing Technology and Management, 2013
Modelling and optimization of cut quality during pulsed Nd:YAG laser cutting of thin Al-alloy sheet for straight profile
Amit Sharma, Vinod Yadava
Optics and Laser Technology, 2012
Modelling and optimisation of pulsed Nd: YAG laser cutting for average kerf taper and surface roughness during straight cutting of Ni-based superalloy thin sheet
Amit Sharma, Vinod Yadava
International Journal of Machining and Machinability of Materials, 2012
Optimization of cut quality characteristics during Nd:YAG laser straight cutting of Ni-based superalloy thin sheet using grey relational analysis with entropy measurement
Amit Sharma, Vinod Yadava
Materials and Manufacturing Processes, 2011
Optimisation of cut qualities during pulsed Nd: YAG laser cutting of SUPERNI 718 thin sheet for straight profile
Amit Sharma, Vinod Yadava
International Journal of Manufacturing Technology and Management, 2011
Optimization of kerf quality characteristics during Nd: YAG laser cutting of nickel based superalloy sheet for straight and curved cut profiles
Amit Sharma, Vinod Yadava, Raghavendra Rao
Optics and Lasers in Engineering, 2010

Dr Amit Sharma

RESEARCH INTERESTS

Scopus Publications