Mechanical Engineering, Polymers and Plastics, Artificial Intelligence
34
Scopus Publications
795
Scholar Citations
12
Scholar h-index
14
Scholar i10-index
Scopus Publications
Short review on the development of electrical discharge machine Mangal Singh Sisodiya, Pankaj Agarwal Engineering Research Express, 2024 The electrical discharge machine (EDM) is an unconventional machine process. It uses thermoelectric energy to erode the work material. Usually, the EDM is employed to machine the hard to cut materials. The extraordinary characteristics of the EDM make the process more versatile for advanced manufacturing. The process is used to attend the intricate geometry with a high degree of accuracy. In the present scenario the manufacturing industries are meeting new challenges at frequent intervals due to the market competition and unique attributes of the materials. Ever changing customer requirement forces the continuous improvement in the machining technology, especially in unconventional machining processes like EDM. The present work reviews the progress of the key technology of the EDM which mainly affects output of the process. The reported work supplies the rigorous analysis of the major elements of the EDM in phase manner which includes the Power generation, control Units and servomechanism. In each section the concern issues are highlighted and reported proper remedies. In nutshell the EDM development from the start to the present stage is reported.
Marble dust reinforced epoxy structural adhesive composites Amar Patnaik, Pankaj Agarwal, Ankush Sharma, Deepika Shekhawat, Tapan Kumar Patnaik Structural Adhesives Properties Characterization and Applications, 2023 The mechanical properties of epoxy composites filled with non-functionalized oxide nanoparticles is influenced by a number of factors. The development of sophisticated materials also necessitates a direct relationship between a material and its qualities from an industrial standpoint. This work describes the fabrication and testing of marble dust nanoparticle reinforced epoxy structural adhesive composites. The behaviour of composite structure after reinforcing with marble dust has been highlighted in this study. The marble dust in different wt.% (i.e., 0, 1.5, 3 and 4.5 wt.%) is incorporated into LY 556 epoxy and composites fabricated via casting method. The primary focus of this study was to evaluate the effects produced on the physical, mechanical and tribological properties with varying filler (marble dust) content. The results indicated significant improvement in hardness and wear resistance of the composite, whereas tensile strength and flexural strength show decrement behaviour with increase in marble dust content. Tribological behaviour of adhesive composites was examined by assessing the wear tracks via FE-SEM. Results indicated presence of debris particles and mild abrasion caused by the hard marble dust particles in the matrix and could also be seen in SEM micrographs. Finally, TOPSIS is implemented to identify the best alterative from the developed epoxy adhesives based on physical, mechanical, thermal and tribological properties.
Fracture toughness of nano-zirconia filled aluminum matrix composites: an experimental and numerical analysis Deepika Shekhawat, Pankaj Agarwal, Tapan Kumar Patnaik, Amit Singh, Amar Patnaik Engineering Research Express, 2023 During the service life of components, they encounter several cyclic loadings that consequently generate stress which encourages crack interaction ultimately deteriorating materials’ performance. The present study aims to investigate the fracture behaviour of aluminium 6061 reinforced with 0–15 wt% ZrO2 particles (at step of 5 wt%) fabricated using stir casting technique. Compositional analysis through x-ray diffraction was performed on the prepared composite samples. The fracture toughness of prepared composites is investigated through bending test by using single edge notch bend (SENB) specimens. In addition, the computation of fracture toughness was also performed by finite element analysis (FEA) approach, and the numerical results obtained from the FEA were compared with the experimental value. Furthermore, fractography and microstructural tests were carried out in order to investigate the influence of reinforcement weight percentage on the failure behaviour of the composites that had been prepared. The results show that with inclusion of ZrO2 (15 wt%) in aluminum 6061 matrix the maximum fracture toughness of 500.83 MPa.mm0.5 was observed. The study performed through FEA highlights the stress phenomena and result are in good agreement with the experimental results.
Experimental and numerical investigation of fracture toughness of hybrid glass/metal fiber reinforced polymer composites Pankaj Agarwal, Ankush Sharma, Mukesh Kumar, Tapan Kumar Patnaik, Amar Patnaik Engineering Research Express, 2022 In this paper, the usefulness of industrial waste metal fiber as a reinforcement in hybrid glass/metal fiber epoxy composites is investigated. The hybrid composites of four-stacking sequence HSG-1, HSG-2, HSG-3, and HSG-4 were fabricated using the vacuum-assisted resin transfer molding (VARTM) technique under a controlled environment. Mode-I fracture toughness of hybrid glass/metal fiber epoxy composites was examined through an experimental SENB test. For the hybrid composites HSG-4, the stress intensity factor of 425.12 MPa.mm1/2 was maximum during mode-I loading compared to the other stacking sequences. Furthermore, finite element analysis for fracture toughness was also carried out, and the simulation results were compared with those of the experiments. With R2 value of 0.99 the deviation was in the range of 0% to 3%. In light of the evaluated results, this research can be expanded to address marine applications simultaneously, allowing for optimal waste usage to reduce environmental issues.
Prediction of thermal and thermo-mechanical behavior of nano-zirconia reinforced aluminium matrix composites D. Shekhawat, P. Agarwal, A. Singh, A. Patnaik Materialwissenschaft Und Werkstofftechnik, 2022 Aluminium bequeaths the same benefits to medical industry as it does to other industries: it is incredibly lightweight and possesses superior strength‐to‐weight ratio. This study‘s aim is to investigate the thermal and thermomechanical behaviour of aluminium 6061 alloy reinforced with nano zirconia (0 wt. % to 15 wt. %; in 5 % steps) for medical applications. The effect of nano zirconia loading on thermal conductivity and thermo‐mechanical (thermo‐gravimetric analysis and dynamic mechanical analysis) have been systematically investigated. The thermal conductivity (128 W/m⋅K to 79 W/m⋅K) decreases with the increasing of nano zirconia particles reinforcement. The storage modulus increases with the nano zirconia particles (64 GPa to 172 GPa), whereas loss modulus indicates an increasing trend concerning the increasing temperature. The thermogravimetric analysis and differential thermal analysis result shows that composites’ decomposition temperature improved with the weight percentage of nano zirconia particles. Furthermore, representative volume element analysis is conducted to evaluate the thermal conductivity and results indicates good agreement with the experimental results within a deviation of ∼5 %.
Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications Pankaj Agarwal, Mukesh Kumar, Ankush Sharma, Mahavir Choudhary, Deepika Shekhawat, Amar Patnaik Polymer Composites, 2022 The accelerating growth in the utilization of industrial waste to prepare sustainable material is gaining interest of researchers globally owing to their synergistic effect with enhanced performance and cost‐effective approach. This study mainly discussed the development of hybrid polymer composites by partial replacement of steel fiber in place of synthetic glass fiber to investigate the slurry erosion performance in an erosive environment. Initially, fabrication of hybrid glass/steel fiber reinforced polymer composites with different weight percentages (38, 37, 36, 35 wt%) glass fiber and (11, 12, 13, 14 wt%) steel fiber are fabricated through vacuum assisted resin transfer modeling (VARTM) technique. After that, steady‐state slurry erosion performance analysis is carried out by varying impact velocity (10–40 m/s), fiber loading (4:1 to 10:4), impingement angle (30°–90°), and slurry concentration (160–265 g/min) respectively in the slurry erosive environment. The observation indicates that at steady‐state conditions the maximum erosion rate lies within the range of 45°–75° by varying the impingement angle whereas the other factors remain constant. The experimental results are validated with different theoretical models as well as a numerical simulation model using computational fluid dynamics approach. Finally, Taguchi's design of experimental analysis (L16 orthogonal array design) is studied by varying all the four factors at‐a‐time to get the erosion rate of the hybrid composites. At the end, the simulated results depicted a clear picture of erodent particle trajectories, eroded surface, and streamlines, and all are in good agreement with the experimental results.
An Approach of Artificial Intelligence in Multidisciplinary Engineering Applications (Part II) P Agarwal, V Kukshal, A Sharma, A Patnaik Recent Patents on Engineering 18 (7), 1-1 , 2024 2024
Short review on the development of electrical discharge machine MS Sisodiya, P Agarwal Engineering Research Express 6 (1), 012506 , 2024 2024 Citations: 7
An Approach of Artificial Intelligence in Multidisciplinary Engineering Applications (Part -I) AP P Agarwal, V Kukshal, A Sharma Recent Patents on Engineering 18 (5) , 2024 2024
Effect of control factors on wear rate of the ceramic particulate filled metal alloy composites: a comparative analysis D Shekhawat, P Agarwal, T Singh, A Singh, A Patnaik Arabian Journal for Science and Engineering 48 (9), 11819-11840 , 2023 2023 Citations: 9
Marble Dust Reinforced Epoxy Structural Adhesive Composites A Patnaik, P Agarwal, A Sharma, D Shekhawat, TK Patnaik Structural Adhesives: Properties, Characterization and Applications, 105-133 , 2023 2023 Citations: 3
Fracture toughness of nano-zirconia filled aluminum matrix composites: an experimental and numerical analysis D Shekhawat, P Agarwal, TK Patnaik, A Singh, A Patnaik Engineering Research Express 5 (1), 015012 , 2023 2023 Citations: 3
Application of Soft Computing Techniques in Mechanical Engineering A Patnaik, V Kukshal, P Agarwal, A Sharma, M Choudhary CRC Press , 2022 2022 Citations: 2
Experimental and numerical investigation of fracture toughness of hybrid glass/metal fiber reinforced polymer composites P Agarwal, A Sharma, M Kumar, TK Patnaik, A Patnaik Engineering Research Express 4 (4), 045014 , 2022 2022 Citations: 2
Prediction of thermal and thermo‐mechanical behavior of nano‐zirconia reinforced aluminium matrix composites D Shekhawat, P Agarwal, A Singh, A Patnaik Materialwissenschaft und Werkstofftechnik 53 (10), 1216-1228 , 2022 2022 Citations: 4
Soft Computing in Materials Development and Its Sustainability in the Manufacturing Sector A Patnaik, V Kukshal, P Agarwal, A Sharma, M Choudhary CRC Press , 2022 2022
Experimental and Numerical Analysis of Mechanical, Thermal and Thermomechanical Properties of Hybrid Glass/Metal Fiber Reinforced Epoxy Composites P Agarwal, M Kumar, M Choudhary, A Sharma, A Patnaik Fibers and Polymers 23 (5), 1342-1365 , 2022 2022 Citations: 17
Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications P Agarwal, M Kumar, A Sharma, M Choudhary, D Shekhawat, A Patnaik Polymer Composites , 2022 2022 Citations: 9
Firefly Optimization Technique for Software Quality Prediction D Pankwar, GL Saini, P Agarwal, P Singh Soft Computing: Theories and Applications: Proceedings of SoCTA 2021, 263 , 2022 2022 Citations: 9
Human eye vision algorithm (HEVA): a novel approach for the optimization of combinatorial problems D Panwar, GL Saini, P Agarwal Artificial intelligence in healthcare, 61-71 , 2021 2021 Citations: 21
Mechanical, thermal and thermomechanical properties of sponge iron slag filled needle-punched nonwoven jute epoxy hybrid composites A Sharma, M Choudhary, P Agarwal, S Joshi, SK Biswas, A Patnaik Fibers and Polymers 22 (4), 1082-1098 , 2021 2021 Citations: 19
Simulation based study for estimation of COVID-19 spread in India using SEIR model K Modi, L Umate, K Makade, RS Dubey, P Agarwal Journal of Interdisciplinary Mathematics 24 (2), 245-258 , 2021 2021 Citations: 14
Analysis and predictions of spread, recovery, and death caused by COVID-19 in India R Kumari, S Kumar, RC Poonia, V Singh, L Raja, V Bhatnagar, P Agarwal Big Data Mining and Analytics 4 (2), 65-75 , 2021 2021 Citations: 144
Usance of industrial 4.0 technique to overcome the pandemic situation of COVID-19 V Bhardwaj, P Agarwal, SR Nayak, MS Sisodiya, V Singh IOP Conference Series: Materials Science and Engineering 1017 (1), 012029 , 2021 2021 Citations: 5
Optimization of solid particle erosion behaviour of waste marble dust filled glass fiber polymer composite using Taguchi approach M Choudhary, A Sharma, P Agarwal, A Bhardwaj, A Patnaik Materials Today: Proceedings 44, 4908-4912 , 2021 2021 Citations: 11
Review on erosion wear characteristic of natural fiber reinforced polymer composite A Sharma, M Choudhary, P Agarwal, SK Biswas, A Patnaik Materials Today: Proceedings 44, 4795-4800 , 2021 2021 Citations: 21
MOST CITED SCHOLAR PUBLICATIONS
Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine V Singh, RC Poonia, S Kumar, P Dass, P Agarwal, V Bhatnagar, L Raja Journal of Discrete Mathematical Sciences and Cryptography 23 (8), 1583-1597 , 2020 2020 Citations: 279
Analysis and predictions of spread, recovery, and death caused by COVID-19 in India R Kumari, S Kumar, RC Poonia, V Singh, L Raja, V Bhatnagar, P Agarwal Big Data Mining and Analytics 4 (2), 65-75 , 2021 2021 Citations: 144
Role of machine learning in the field of Fiber reinforced polymer composites: A preliminary discussion P Pattnaik, A Sharma, M Choudhary, V Singh, P Agarwal, V Kukshal Materials Today: Proceedings 44, 4703-4708 , 2021 2021 Citations: 73
Effect of micro‐sized marble dust on mechanical and thermo‐mechanical properties of needle‐punched nonwoven jute fiber reinforced polymer composites A Sharma, M Choudhary, P Agarwal, SK Biswas, A Patnaik Polymer Composites 42 (2), 881-898 , 2020 2020 Citations: 45
Experimental and numerical investigation of mechanical and erosion behavior of barium sulphate filled glass fiber reinforced polymer composites M Choudhary, A Sharma, P Agarwal, T Singh, T Patnaik, A Patnaik Polymer Composites 42 (2), 753-773 , 2020 2020 Citations: 30
Sustainable Smart-farming framework: smart farming P Agarwal, V Singh, GL Saini, D Panwar Smart farming technologies for sustainable agricultural development, 147-173 , 2019 2019 Citations: 26
Human eye vision algorithm (HEVA): a novel approach for the optimization of combinatorial problems D Panwar, GL Saini, P Agarwal Artificial intelligence in healthcare, 61-71 , 2021 2021 Citations: 21
Review on erosion wear characteristic of natural fiber reinforced polymer composite A Sharma, M Choudhary, P Agarwal, SK Biswas, A Patnaik Materials Today: Proceedings 44, 4795-4800 , 2021 2021 Citations: 21
Mechanical, thermal and thermomechanical properties of sponge iron slag filled needle-punched nonwoven jute epoxy hybrid composites A Sharma, M Choudhary, P Agarwal, S Joshi, SK Biswas, A Patnaik Fibers and Polymers 22 (4), 1082-1098 , 2021 2021 Citations: 19
Experimental and Numerical Analysis of Mechanical, Thermal and Thermomechanical Properties of Hybrid Glass/Metal Fiber Reinforced Epoxy Composites P Agarwal, M Kumar, M Choudhary, A Sharma, A Patnaik Fibers and Polymers 23 (5), 1342-1365 , 2022 2022 Citations: 17
Simulation based study for estimation of COVID-19 spread in India using SEIR model K Modi, L Umate, K Makade, RS Dubey, P Agarwal Journal of Interdisciplinary Mathematics 24 (2), 245-258 , 2021 2021 Citations: 14
Experimental and numerical investigation of thermal conductivity of marble dust filled needle punched nonwoven jute-epoxy hybrid composite A Sharma, M Choudhary, P Agarwal, TK Patnaik, SK Biswas, A Patnaik Materials Today: Proceedings 38 (1), 248-252 , 2020 2020 Citations: 13
Numerical simulation of solid particle erosion for glass fiber reinforced epoxy composites P Agarwal, A Sharma, M Choudhary, TK Patnaik, A Patnaik Materials Today: Proceedings 38 (1), 285-288 , 2020 2020 Citations: 12
Optimization of solid particle erosion behaviour of waste marble dust filled glass fiber polymer composite using Taguchi approach M Choudhary, A Sharma, P Agarwal, A Bhardwaj, A Patnaik Materials Today: Proceedings 44, 4908-4912 , 2021 2021 Citations: 11
Effect of control factors on wear rate of the ceramic particulate filled metal alloy composites: a comparative analysis D Shekhawat, P Agarwal, T Singh, A Singh, A Patnaik Arabian Journal for Science and Engineering 48 (9), 11819-11840 , 2023 2023 Citations: 9
Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications P Agarwal, M Kumar, A Sharma, M Choudhary, D Shekhawat, A Patnaik Polymer Composites , 2022 2022 Citations: 9
Firefly Optimization Technique for Software Quality Prediction D Pankwar, GL Saini, P Agarwal, P Singh Soft Computing: Theories and Applications: Proceedings of SoCTA 2021, 263 , 2022 2022 Citations: 9
Short review on the development of electrical discharge machine MS Sisodiya, P Agarwal Engineering Research Express 6 (1), 012506 , 2024 2024 Citations: 7
Computational fluid dynamics modeling of erosion at diverse impact angle for glass fiber reinforced polymer composite M Choudhary, A Sharma, P Agarwal, TK Patnaik, A Patnaik Materials Today: Proceedings 38 (1), 237-241 , 2020 2020 Citations: 6
Some results on the new fractional derivative of generalized k-Wright function RS Dubey, Y Singh, P Agarwal, GL Saini, V Singh Journal of Interdisciplinary Mathematics 23 (2), 607-615 , 2020 2020 Citations: 6