NISHANT RANJAN
@cuchd.in
ASSISTANT PROFESSOR (UNIVERSITY CENTRE FOR RESEARCH & DEVELOPMENT (UCRD))
Chandigarh University
RESEARCH INTERESTS
Additive Manufacturing,
Thermoplastic Polymers,
FDM,
Ceramics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ranvijay Kumar, Rupinder Singh, Vinay Kumar, Nishant Ranjan, Jeena Gupta, and Nancy Bhura
Elsevier BV
Harsh Sable, Vaishali Kumar, Richa Mishra, Vandana Singh, Arpita Roy, Ashutosh Kumar Rai, Nishant Ranjan, Sarvesh Rustagi, and Soumya Pandit
Elsevier BV
Mayur Thakare, Soumya Pandit, Chetan Pandit, Subhasree Ray, Abdullah M. Alkahtani, Khulood Fahad Alabbosh, Nishant Ranjan, S.J. Geetha, and Sanket J. Joshi
Elsevier BV
Vinay Kumar, Rupinder Singh, Nishant Ranjan, and Ranvijay Kumar
Springer Science and Business Media LLC
Harnam Singh Farwaha, Prem Singh, Mukesh Kumar, Nishant Ranjan, and Harpreet Kaur
AIP Publishing
Vandana Singh, Chetan Pandit, Arpita Roy, Soumya Pandit, Ashutosh Kumar Rai, Anju Rani, Nishant Ranjan, Sarvesh Rustagi, and Sumira Malik
Elsevier BV
Nishant Ranjan, Rashi Tyagi, Ranvijay Kumar, and Vinay Kumar
SAGE Publications
The 3D-printed rapid tools are being used in finishing operations such as drilling, milling, broaching, roller burnishing, and other finishing operations that need anti-wear plastic composite materials. Zirconium oxide (ZrO2) is one of the ceramic materials which is highly appreciated due to its anti-wear properties. This study aims to develop the ZrO2 ceramic particles reinforced acrylonitrile butadiene styrene (ABS) thermoplastic composite feedstock filaments for 3D printing of rapid tools. In the first stage, the multiple numbers (as per Taguchi L9 orthogonal array (OA)) of ABS-ZrO2 feedstock filaments were developed by varying the loading of ZrO2 in ABS matrix (2 wt.%, 4 wt.%, and 6 wt.%), processing temperature (200, 205 and 210°C), and rotation speed of screw (4, 6 and 8 RPM). The optimum setting obtained for manufacturing ABS-ZrO2 composite feedstock filaments is the combination of 2% ZrO2 loading, 205°C processing temperature, and 6 RPM screw speed. In the next stage, fused filament fabrication (FFF) based 3D printing has been used to prepare the rapid tools. The wear test performed for 3D printed ABS-ZrO2 composites rapid tools shows only .62% weight loss which is lower as compared to virgin ABS (.91% weight loss). The results of the study are supported by fracture analysis, morphology, and mechanical properties.
Rashi Tyagi, Nishant Ranjan, Monty Kumar, Vinay Kumar, Ashutosh Tripathi, and Ranvijay Kumar
SAGE Publications
In the present work, investigations of the wettability, wear, and morphological study on 3D-printed polylactic acid (PLA)/molybdenum disulfide (MoS2)-silicon carbide (SiC) based composite have been performed. In the first stage, the PLA/MoS2-SiC composite was fabricated from the different types of filaments of 1.75 ± 0.10 mm size by taking MoS2-SiC as reinforcement at various extrusion temperatures (150°C–160°C) and screw rotational speed (3–7 r/min) of the extruder setup. The Taguchi L9 orthogonal array was used to design the experiments for 3D printing by varying the filament type, range of nozzle temperature (200°C–210°C), and infill density (40%–90%). The pin-on-disk (POD) setup was used for measuring specific wear rate (SWR) and showed the lowest value of 0.00141 g/N-m when composites were 3D printed by taking filaments manufactured at the parametric combination of 160°C extruder temperature and 7 r/min rotational speed, while 3D printed at 210°C nozzle temperature and 40% infill density. Contact angle (CA) values indicated that the reinforcement of MoS2 and SiC in PLA resulted in hydrophilic surface formation due to morphology and increased roughness (including mean roughness (Sa), mean root square of the Z data (Sq), and the highest peak (Sz)). The significantly increased surface free energy (SFE) of MoS2-SiC-reinforced PLA composite compared to pure PLA was reported which makes the prepared composite a promising candidate to be used for biocompatible implants with high wear resistance.
Shivangi Sankhyan, Prasun Kumar, Madan Sonkar, Soumya Pandit, Nishant Ranjan, and Subhasree Ray
Elsevier BV
Aniket Yadav, Piyush Rohru, Atul Babbar, Ranvijay Kumar, Nishant Ranjan, Jasgurpreet Singh Chohan, Raman Kumar, and Manish Gupta
Springer Science and Business Media LLC
Ranvijay Kumar, Kamalpreet Sandhu, Nishant Ranjan, Sunpreet Singh, Prabir Sarkar, Karupppasamy Subburaj, and Seeram Ramakrishna
Elsevier BV
Vinay Kumar, Rupinder Singh, Ranvijay Kumar, Nishant Ranjan, and Minhaz Hussain
Elsevier BV
Nishant Ranjan, Raman Kumar, Ranvijay Kumar, Rupinder Kaur, and Sunpreet Singh
Springer Science and Business Media LLC
Ranvijay Kumar, Rupinder Singh, Vinay Kumar, Pawan Kumar, and Nishant Ranjan
Springer Science and Business Media LLC
Nishant Ranjan, Ranvijay Kumar, Rupinder Singh, and Vinay Kumar
SAGE Publications
Thermoplastics such as; polyvinyl chloride (PVC) and polypropylene (PP) have applications in different sectors such as; automobile, aerospace, biomedical, textile, etc. due to cost-effectiveness, biodegradability, high mouldability, easy availability and good mechanical properties. The shape memory performances of these thermoplastics are crucial for extending the four-dimensional (4D) printing applications. But hitherto little has been reported on flowability, mechanical, thermal, morphological and shape memory properties of PVC-PP composite. In this study, twin-screw compounding has been employed on PVC and PP thermoplastics (in single and blended form) to prepare feedstock filaments for fused filament fabrication (FFF). The investigations have been made for flowability (melt flow index (MFI), mechanical (tensile strength and elongation), thermal (melting point) morphological, Fourier transform infrared spectroscopy (FTIR) analysis and shape memory effect on different feedstock filaments (prepared with neat PVC, 75%PVC-25%PP, 50%PVC-50%PP, 25%PVC-75%PP and neat PP). The results have been supported by fracture analysis of photomicrographs obtained from scanning electron microscopy (SEM). The results of the study suggested that tensile strength was maximum for 50%PVC-50%PP (23.57 MPa) and minimum for neat PP (8.89 MPa). Further percentage shape recovery was observed maximum for neat PVC and minimum for neat PP.
Ravinder Sharma, Rupinder Singh, Ajay Batish, and Nishant Ranjan
Springer Science and Business Media LLC
Sehra Farooq and Nishant Ranjan
Informa UK Limited
Sehra Farooq and Nishant Ranjan
Springer International Publishing
Nishant Ranjan, Ranvijay Kumar, Sandeep Kumar, Deepak Kumar, and Kuldeep K Saxena
Informa UK Limited
Nishant Ranjan, Rashi Tyagi, Ranvijay Kumar, and Atul Babbar
Informa UK Limited
Mukesh Kumar, Harnam Singh Farwaha, and Nishant Ranjan
IOP Publishing
Abstract In this work, the microwave process is optimized for graphene preparation from rice husk using RSM (Response Surface Methodology) as the graphene has exceptional qualities and is highly used in many industrial applications. The experiments are designed by using Box-Behnken Design (BBD) approach. The characterization of prepared graphene is done by FESEM (Field Emission Scanning Electron Microscope), UV–Visible spectroscopy, and FTIR (Fourier transform infrared Spectroscopy). The best route to finding good-quality graphene is the objective of this research. The higher value R2 describes the satisfactory correlation between experimental and predicted data. The obtained optimized minimum crystallite size of graphene is 28.39 nm. The characterization, prediction, and process optimization are done, and the validation of the developed model confirms the model can be used for the preparation of graphene from rice husk. The prediction and optimization of the process parameters are done for the synthesis of graphene from rice husk. RSM is used as a statistical technique to obtain a quadratic model for the response. As the properties of graphene mostly depend upon the size of the particle, so the prediction of the crystalline size is done by this RSM technique.
Piyush, Raman Kumar, Ranvijay Kumar, Nishant Ranjan, and Jasgurpreet Singh Chohan
Springer Science and Business Media LLC
Nishant Ranjan, Rupinder Singh, Ranvijay Kumar, and Ravinder Sharma
CRC Press
Ravinder Sharma, Rupinder Singh, Ajay Batish, and Nishant Ranjan
CRC Press
Sunpreet Singh, Raman Kumar, Ranvijay Kumar, Jasgurpreet Singh Chohan, Nishant Ranjan, and Raman Kumar
SAGE Publications
Fused deposition modeling -based three-dimensional printing techniques, when merged with the investment casting process, is one of the most innovative techniques for developing functionally graded metal–matrix composites in high-performance industrial applications. In this study, Al–Al2O3 matrix composites have been prepared by the combined route of fused deposition modeling and modified investment casting processes. In the first step, the Al–Al2O3 particles have been reinforced into nylon 6 thermoplastics for the preparation of fused deposition modeling-based feedstock filaments (in two configurations: C1 (60% nylon 6–30% Al–10% Al2O3) and C2 (60% nylon 6–28% Al–12% Al2O3). In the next step, the investment casting patterns of the fused deposition modeling process of nylon 6–Al–Al2O3 composites were prepared. Furthermore, the investment casting has been performed by controlling the proportion of nylon 6–Al–Al2O3, the volume of pattern, the density of pattern, barrel finishing media weight, barrel fining time, and number of mold wall layers considering Taguchi L18-based experimental design. Finally, the functional aluminum matrix composites were subjected to testing to investigate average surface roughness ( Ra), deviation inside the cube, average wear, and average hardness. The study results have suggested that maintaining a higher proportion of Al2O3 in three-dimensional printed parts leads to higher Ra, higher dimensional deviation, and higher hardness of investment cast parts. On the contrary, solid patterns have provided low wear rates and low-density patterns resulting in increased wear rates in final investment casted products. Furthermore, the responses are optimized concurrently with the “technique for order of preference by similarity to ideal solution–Taguchi” technique while considering the analytical hierarchical process and entropy weights of significance.