Anand Yagneshbhai Joshi

Prof. Dr. Anand Yagneshbhai Joshi

Parul University, Vadodara, India
+1
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 March 2024 in Ain Shams Engineering Journal
Verified
Journal Article
Open access
AWAtul D Watpade
Atul D Watpade
STSanketsinh G Thakor
Sanketsinh G Thakor
Prince JainPrince Jain
Prince Jain
PMPrajna P. Mohapatra
Prajna P. Mohapatra
CVChandan R. Vaja
Chandan R. Vaja
MIMohammad Tariqul Islam
Mohammad Tariqul Islam

1 March 2024 in Materials Advances
Verified
Journal Article
Open access
PDF file
MRMahendra Singh Rathore
Mahendra Singh Rathore
HVHarshita Verma
Harshita Verma
SASonal B. Akhani
Sonal B. Akhani
JPJaivik Pathak
Jaivik Pathak
UJUnnati Joshi
Unnati Joshi
AOAnkit D. Oza
Ankit D. Oza
The hexagonal phase of ZnO NPs was synthesized using sol gel methods and structural properties and correlation with the optical, photoluminescence and antibacterial properties have been investigated.

1 August 2011 in Sensors and Actuators A: Physical
Verified
Journal Article
Closed access
Anand Yagneshbhai JoshiAnand Yagneshbhai Joshi
Anand Yagneshbhai Joshi
SSSatish C. Sharma
Satish C. Sharma
SHSURAJ PRAKASH HARSHA
SURAJ PRAKASH HARSHA

1 November 2015
Verified
Conference Paper
Closed access
PPParmar Prashant
Parmar Prashant
Anand Yagneshbhai JoshiAnand Yagneshbhai Joshi
Anand Yagneshbhai Joshi
VGVaibhav Gandhi
Vaibhav Gandhi
A brain-computer interface (BCI), also referred to as a mind-machine interface (MMI) or a brain-machine interface (BMI), provides a non-muscular channel of communication between the human brain and a computer system. With the advancements in low-cost electronics and computer interface equipment, as well as the need to serve people suffering from disabilities of neuromuscular disorders, a new field of research has emerged by understanding different functions of the brain. The electroencephalogram (EEG) is an electrical activity generated by brain structures and recorded from the scalp surface through electrodes. Researchers primarily rely on EEG to characterise the brain activity, because it can be recorded non-invasively by using portable equipment. The EEG or the brain activity can be used in real time to control external devices via a complete BCI system. A typical BCI scheme generally consists of a data acquisition system, pre-processing of the acquired signals, feature extraction process, classification of the features, post-processing of the classifier output, and finally the control interface and device controller. The post-processed output signals are translated into appropriate commands so as to control output devices, with several applications such as robotic arms, video games, wheelchair etc.

22 June 2023 in Polymers
Verified
Journal Article
Open access
PDF file
VPVijay Kanjibhai Patel
Vijay Kanjibhai Patel
UJUnnati Joshi
Unnati Joshi
Anand Yagneshbhai JoshiAnand Yagneshbhai Joshi
Anand Yagneshbhai Joshi
BMBlessing Kudzai Matanda
Blessing Kudzai Matanda
KCKamlesh V. Chauhan
Kamlesh V. Chauhan
Dumitru-Doru Burduhos-NergisDumitru-Doru Burduhos-Nergis
Dumitru-Doru Burduhos-Nergis
This manuscript presents an experimental investigation of the friction and wear properties of poly (methyl methacrylate) (PMMA) nanocomposites reinforced with functionalized multi-walled carbon nanotubes (MWCNTs). The aim of this study is to evaluate the potential of MWCNTs as a reinforcement material for enhancing the tribological performance of PMMA. Three types of multi-walled carbon nanotubes, i.e., pristine, hydroxyl functionalized, and carboxyl functionalized, were utilized in this study. The nanocomposite samples were prepared by dispersing varying concentrations of MWCNTs (0.1 wt.%, 0.5 wt.%, and 1 wt.%) within the PMMA matrix via a 3D mixing approach, followed by injection molding/compression molding. The resulting nanocomposite films were characterized using scanning electron microscopy (SEM) to observe the dispersion of MWCNTs within the PMMA matrix. The friction and wear tests were conducted using a pin-on-disk tribometer under dry sliding conditions. The effects of functionalization and MWCNT content on the tribological behaviors of the nanocomposites were analyzed. The nanocomposites exhibited lower friction coefficients and reduced wear rates compared to pure PMMA. The lowest friction coefficient and wear rate were achieved at an optimum MWCNT loading of 0.5 wt.%. It was further revealed that the amount of MWCNT reinforcement, average load, and track diameter significantly affect the coefficient of friction (COF) and rate of wear. The COF and wear rate are best at a filler loading of 0.5 wt.%, a 20 Kg load, and 90 mm. The improved tribological performance of the MWCNT-reinforced PMMA nanocomposites can be attributed to the effective transfer of load between the MWCNTs and the PMMA matrix, as well as the reinforcement effect of the MWCNTs. The MWCNTs acted as reinforcing agents, enhancing the mechanical properties and wear resistance of the nanocomposites.

18 October 2022 in Materials
Verified
Journal Article
Open access
PDF file
VPVijay Kanjibhai Patel
Vijay Kanjibhai Patel
UJUnnati Joshi
Unnati Joshi
Anand Yagneshbhai JoshiAnand Yagneshbhai Joshi
Anand Yagneshbhai Joshi
AOAnkit D. Oza
Ankit D. Oza
CHANDER PRAKASHCHANDER PRAKASH
CHANDER PRAKASH
Kuldeep SAXENAKuldeep SAXENA
Kuldeep SAXENA
The incorporation of carboxyl functionalized multi-walled carbon nanotube (MWCNT- COOH) into a polymethyl methacrylate (PMMA) has been investigated. The resultant tensile and flexural mechanical properties have been determined. In this paper, a novel synthesis process for a MWCNT-reinforced polymer nanocomposite is proposed. The proposed method significantly eliminates the most challenging issues of the nano-dispersed phase, including agglomeration and non-homogeneous mixing within a given matrix material, and also resolves the issues occurring in conventional mixing processes. The results of scanning electron microscopy support these claims. This 3D-mixing process is followed by an extrusion process, using a twin-screw extruder for pristine MWCNT, and a compression molding process for COOH-MWCNT, to prepare test specimens for experimentally determining the mechanical properties. The test specimens are fabricated using 0.1, 0.5, and 1.0 wt.% MWCNT, with a remaining PMMA phase. The testing is conducted according to ASTM D3039 and ASTM D7264 standards. Significant improvements of 25.41%, 35.85%, and 31.75% in tensile properties and 18.27%, 48%, and 33.33% in flexural properties for 0.1, 0.5, and 1.0 wt.% COOH-MWCNT in PMMA, respectively, compared to non-functionalized MWCNTs, were demonstrated. The highest strength was recorded for the nanocomposite with 0.5 wt.% f-MWCNT content, indicating the best doping effect at a lower concentration of f-MWCNT. The proposed CNT-PMMA nanocomposite may be found suitable for use as a scaffold material in the domain of bone tissue engineering research. This type of research possesses a high strength requirement, which may be fulfilled using MWCNT. Furthermore, this analysis also shows a significant amount of enhancement in flexural strength, which is clinically required for fabricating denture bases.