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Synergistic effect of hybrid Himalayan Nettle/Bauhinia-vahlii fibers on physico-mechanical and sliding wear properties of epoxy composites

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Defence Technology（防务技术） 2020年第4期16卷 762-776页

作者： Sandeep kumar KKSMer Brijesh Gangil vinay kumar patel Department of Mechanical Engineering S.O.E.T.H.N.B.Garhwal UniversitySrinagar-Garhwal246174UttarakhandIndia Department of Mechanical Engineering Govind Ballabh Pant Institute of Engineering and Technology GhurdauriPauri Garhwal246001UttarakhandIndia

The cellulosic bast fibers are recognized as a justifiable and biodegradable substitute for producing moderate strength polymer composite materials because of their characteristics of renewability,ecofriendliness,and higher specific *** the aim of this research work is to fabricate Himalayan bast fibers(Nettle fiber(NF)/bauhinia vahlii fiber(BF)) based mono/hybrid epoxy composites at varying weight percentage of 2-6 wt% and evaluate the physical(void fraction and water absorption),mechanical(tensile strength,flexural strength,hardness) and sliding wear properties of as-fabricated *** 6 wt% NBF reinforced composites exhibited higher mechanical properties as compared to NF and BF composites with tensile strength of 34.04 MPa,flexural strength of 42.45 MPa,and hardness of 37.01 Hv *** influence of various control factors(sliding velocity,NF/BF/NBF contents,normal load and sliding distance) on specific sliding wear rate of composites was evaluated by Taguchi(three factors at three levels) experimental design and the percentage contribution of these selected parameters on sliding wear performance was examined by Analysis of variance(ANOVA).The sliding wear property of as-developed composites was found to be greatly influenced by sliding velocity and the wear resistance was observed to be improved with the NF/BF/NBF *** wear mechanism of the as-fabricated composites has been elucidated by scanning electron microscopy *** research outcomes demonstrated that the hybridization of Bauhinia vahlii fiber with Nettle fiber led to improve the mechanical and wear properties of epoxy composites.

关键词： Natural fiber Physical properties Mechanical properties Wear properties Taguchi analysis

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Thermo-mechanical and tribological properties of SU-8/h-BN composite with SN150/perfluoropolyether filler

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Friction 2020年第1期8卷 151-163页

作者： Anand Singh RATHAUR Jitendra KKATIYAR vinay kumar patel Department of Mechanical Engineering Govind Ballabh Pant Institute of Engineering and Technology GhurdauriPauri GarhwalUttarakhand 246194India Department of Mechanical Engineering SRM Institute of Science and TechnologyKattankulathur CampusChennaiTamil Nadu 603203India

In this study, SU-8 and its composites are fabricated by blending 10 wt.% hexagonal boron nitride(h-BN) fillers with/without lubricants, such as 10 wt.% base oil(SN150) and 20 wt.% perfluoropolyether(PFPE). The thickness of SU-8 and its composites coating is fabricated in the range ~100–105 μm. Further, SU-8 and its composites are characterized by a 3D optical profilometer, atomic force microscopy, scanning electron microscopy, a thermal gravimetric analyzer, a goniometer, a hardness tester, and an optical microscope. Under a tribology test performed at different normal loads of 2, 4, and 6 N and at a constant sliding speed of 0.28 m/s, the reduction in the initial and steady-state coefficient of friction is obtained to be ~0.08 and ~0.098, respectively, in comparison to SU-8(~0.42 and ~0.75), and the wear resistance is enhanced by more than 103 times that of pure SU-8. Moreover, the thermal stability is improved by ~80–120 ℃, and the hardness and elastic modulus by ~3 and ~2 times that of pure SU-8, respectively. The SU-8 composite reinforced with 10 wt.% h-BN and 20 wt.% PFPE demonstrated the best thermo-mechanical and tribological properties with a nano-textured surface of high hydrophobicity.

关键词： SU‐8 boron nitride perfluoropolyether(PFPE) base oil(SN 150) in‐situ lubrication

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Performance characterization of Bi_2O_3/Al nanoenergetics blasted micro-forming system

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Defence Technology（防务技术） 2019年第1期15卷 98-105页

作者： vinay kumar patel Rishi Kant Anu choudhary Madhusudan Painuly Shantanu Bhattacharya Department of Mechanical Engineering Govind Ballabh Pant Institute of Engineering & Technology Pauri-Garhwal Department of Mechanical Engineering Indian Institute of Technology Kanpur

This paper reports a novel micro-blast driven manufacturing process for micro-forming of Aluminum foils. The micro-blast is realized by using a nanoenergetic material system comprising of Bi_2O_3 microrods and aluminum particles. There is an enhanced need of forming of thin aluminum foil structures in small regions from point of view of drug packaging etc. The process developed caters to this need by using a single shot forming process using a micro-blast source. The micro-blast that is generated from an energetic composite system is made highly tunable by modulating the peak pressure generated through the blasting process and their impact in micro-forming of thin aluminum foils is observed through parametric studies. The engineering challenge involved in these experiments is to tune the blast pressure properties in order to address the forming of thin metal sheets with limiting boundary values as defined by the failure criteria. A variety of characterization techniques related to a thorough analysis of the synthesized material viz. X-ray diffraction(XRD), Scanning Electron Microscopy(SEM) etc, are used to tune the functional properties like gauge blast pressure etc, of material system. We have found a material system that can generate a maximum peak pressure of 73.8 MPa with pressurization rate of 2460 GPas^(-1) and that is able to accomplish micro-forming on thin metal foils(around 0.3 mm thickness). Experimental investigations demonstrate that tunabilty aspect of the energetic composites when exercised can enable variant processes such as embossing, coining, drilling etc. which may be of significant utility to drug packaging industries. A proper mathematical modeling of the forming process and critical process parameters therein have also been detailed.

关键词： Microforming Aluminum Foil Bi2O3 Nanoenergetic Tunability Process parameters

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Crystal structure and luminescence dynamics of highly pure LiM（PO3）3:Eu3+（M=Sr,Ca） red phosphors for white light emitting diodes

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Journal of Rare Earths 2024年第8期42卷 1470-1478页

作者： Payal Khajuria M.Manhas A.K.Bedyal Ankush Vij H.C.Swart vinay kumar Department of Physics and Astronomical Sciences Central University of Jammu Department of Physics School of SciencesCluster University of Jammu Department of Physics University of Petroleum and Energy Studies Department of Physics University of the Free State

Highly pure red phosphors LiM（PO3）3:Eu3+（M=Sr,Ca） doped with Eu3+（1 mol%） were synthesized via solution combustion method and their crystal structure and luminescence dynamics were studied to explore its suitability in white light emitting *** Rietveld refinement analysis of the powder Xray diffraction patterns reveals that the phosphors belong to the pure triclinic phase of LiSr（PO3）3and LiCa（PO3） with space group P-■（2）.The scanning electron microscopy images showed the agglomerated *** photoluminescence emission spectra under 393 nm show an orange band at 594 nm and a red band at 613 nm ascribed to5D0→7F1.5D0→7F2transitions of Eu3+ion in both the ***,the spectroscopic properties such as luminescence behaviour,and Stark splitting were used to examine the symmetry of Eu3+ions in LiM（PO3）3:Es3+（M=Sr,Ca） phosphors in terms of distortion induced upon *** Stark splitting shows that the actual site symmetry for Eu3+ion was estimated to be D2type for both *** photometric properties of LiCa（PO3）3:Eu3+such as Commission International de l'Eclairage coordinates（x=0.64,y=0.36） near to the standard one（red）,high color purity（95%） and higher brightness reveal that the phosphor has the capability of acting as a red component in n-UV white light emitting diodes.

关键词： Phosphate Photoluminescence Rare earths Stark splitting WLEDs

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Multiple Forgery Detection in Video Using Convolution Neural Network

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Computers, Materials & Continua 2022年第10期73卷 1347-1364页

作者： vinay kumar Vineet Kansal Manish Gaur Centre for Advanced Studies Dr.A P J Abdul Kalam Technical UniversityLucknowIndia Institute of Engineering and Technology Dr.A P J Abdul Kalam Technical UniversityLucknowIndia

With the growth of digital media data manipulation in today’s era due to the availability of readily handy tampering software,the authenticity of records is at high risk,especially in *** is a dire need to detect such problem and do the necessary *** this work,we propose an approach to detect the interframe video forgery utilizing the deep features obtained from the parallel deep neural network model and thorough analytical *** proposed approach only uses the deep features extracted from the CNN model and then applies the conventional mathematical approach to these features to find the forgery in the *** work calculates the correlation coefficient from the deep features of the adjacent frames rather than calculating directly from the *** divide the procedure of forgery detection into two phases–video forgery detection and video forgery *** video forgery detection,this approach detect input video is original or *** the video is not original,then the video is checked in the next phase,which is video forgery *** the video forgery classification,method review the forged video for insertion forgery,deletion forgery,and also again check for *** proposed work is generalized and it is tested on two different *** experimental results of our proposed model show that our approach can detect the forgery with the accuracy of 91%on VIFFD dataset,90%in TDTV dataset and classify the type of forgery–insertion and deletion with the accuracy of 82%on VIFFD dataset,86%on TDTV *** work can helps in the analysis of original and tempered video in various domain.

关键词： Digital forensic forgery detection video authentication video interframe forgery video processing deep learning

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Fusion of Region Extraction and Cross-Entropy SVM Models for Wheat Rust Diseases Classification

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Computers, Materials & Continua 2023年第11期77卷 2097-2121页

作者： Deepak kumar vinay Kukreja Ayush Dogra Bhawna Goyal Talal Taha Ali Department of Computer Science&Engineering Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab140401India Department of Electronics&Communication Engineering Chandigarh UniversityPunjab140413India Department of Dental Industry Techniques Al-Noor University CollegeNineveh41018Iraq

Wheat rust diseases are one of the major types of fungal diseases that cause substantial yield quality losses of 15%–20%every *** wheat rust diseases are identified either through experienced evaluators or computerassisted *** experienced evaluators take time to identify the disease which is highly laborious and too *** wheat rust diseases are predicted at the development stages,then fungicides are sprayed earlier which helps to increase wheat yield *** solve the experienced evaluator issues,a combined region extraction and cross-entropy support vector machine(CE-SVM)model is proposed for wheat rust disease *** the proposed system,a total of 2300 secondary source images were augmented through flipping,cropping,and rotation *** augmented images are preprocessed by histogram *** a result,preprocessed images have been applied to region extraction convolutional neural networks(RCNN);Fast-RCNN,Faster-RCNN,and Mask-RCNN models for wheat plant patch *** layers of region extraction models construct a feature vector that is later passed to the CE-SVM *** a result,the Gaussian kernel function in CE-SVM achieves high F1-score(88.43%)and accuracy(93.60%)for wheat stripe rust disease classification.

关键词： Wheat rust diseases agricultural region extraction models intercropping image processing feature extraction precision agriculture

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Performance Analysis of Multilayer Coil Based MI Waveguide Communication System

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Computers, Materials & Continua 2022年第9期72卷 5287-5300页

作者： Sandeep N.Dandu vinay kumar Joydeep Sengupta Neeraj D.Bokde Department of Electronics and Communications Engineering Visvesvaraya National Institute of TechnologyNagpur440010India Department of Electronics and Communications Engineering Motilal Nehru National Institute of TechnologyPrayagraj211002India Department of Civil and Architectural Engineering-Design and Construction 8000AarhusDenmark

In the non-conventional media like underwater and underground,the Radio Frequency(RF)communication technique does not perform well due to large antenna size requirement and high path *** such media,magnetic induction(MI)communication technique is very promising due to small coil size and constant channel *** the RF technique,the communication range in MI technique is relatively *** enhance this range,a waveguide technique is already brought in *** technique employs single layer coils to enhance the performance of MI *** further enhance the system functioning,in this paper,we investigated the performance of multi-layer coil(MLC)antenna based MI waveguide communication system in terms of transmission range,path loss,bit error rate(BER)and ***,the system performance is quantitatively evaluated in three different non-conventional media viz.,dry soil,fresh water and wet *** compared with the single layer counterpart,the MLC system shows a significant improvement in transmission range,BER even in loosely coupled scenarios and shows a corresponding reduction in path ***,the bandwidth is observed to be low(<1 KHz).In this analysis,the eddy current effects and parasitic capacitance are compared for single and multilayer *** is observed that the proposed system performs better in dry soil medium due to less medium conductivity.

关键词： Communication magnetic induction multilayer coil waveguide system

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Technologically Advanced Reusable 3D Face Shield for Health Workers Confronting COVID19

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Computers, Materials & Continua 2022年第8期72卷 2565-2579页

作者： Rajesh kumar Kaushal Naveen kumar vinay Kukreja Fahd S.Alharithi Ahmed H.Almulihi Arturo Ortega Mansilla Shikha Rani Chitkara University Institute of Engineering and Technology Chitkara University140401PunjabIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 2139011SantanderSpain Department of Project Management Universidad Internacional IberoamericanaCampeche24560Mexico National Institute of Technology Kurukshetra136119HaryanaIndia

The probability of medical staff to get affected from COVID19 is much higher due to their working environment which is more exposed to infectious ***,as a preventive measure the body temperature monitoring of medical staff at regular intervals is highly *** temperature sensing guns have proved its effectiveness and therefore such devices are used to monitor the body *** devices are either used on hands or *** a result,there are many issues in monitoring the temperature of frontline healthcare ***,these healthcare professionals keep wearing PPE(Personal Protective Equipment)kits during working hours and as a result it would be very difficult to monitor their body ***,these healthcare professionals also wear face shields and in such cases monitoring temperature by exposing forehead needs removal of face *** so after regular intervals is surely uncomfortable for healthcare *** avoid such issues,this paper is disclosing a technologically advanced face shield equipped with sensors capable of monitoring body temperature instantly without the hassle of removing the face *** face shield is integrated with a built-in infrared temperature sensor.A total of 10 such face shields were printed and assembled within the university lab and then handed over to a group of ten members including faculty and students of nursing and health science *** sequence was repeated four times and as a result 40 healthcare workers participated in the ***,feedback analysis was conducted on questionnaire data and found a significant overall mean score of 4.59 out of 5 which indicates that the product is effective and worthy in every *** analysis is also performed in the simulated environment and found that the device can easily withstand the typically applied *** limitations of this product are difficulty in cleaning the product and comparatively hig

关键词： Temperature sensing face shield electronic 3D face shield IoT enabled face-shield

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IoT-Based Women Safety Gadgets (WSG): Vision, Architecture, and Design Trends

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Computers, Materials & Continua 2023年第7期76卷 1027-1045页

作者： Sharad Saxena Shailendra Mishra Mohammed Baljon Shamiksha Mishra Sunil kumar Sharma Prakhar Goel Shubham Gupta vinay Kishore Department of Computer Science and Engineering Thapar Institute of Engineering and TechnologyPatialaPunjab147001India Department of Computer Engineering College of Computer&Information ScienceMajmaah UniversityMajmaah11952Saudi Arabia Department of Computer Science and Engineering National Institute of TechnologyJamshedpur831001India

In recent years,the growth of female employees in the commercial market and industries has *** a result,some people think travelling to distant and isolated locations during odd hours generates new threats to women’s *** exponential increase in assaults and attacks on women,on the other hand,is posing a threat to women’s growth,development,and *** the time of the attack,it appears the women were immobilized and needed immediate *** self-defense isn’t sufficient against abuse;a new technological solution is desired and can be used as quickly as hitting a switch or *** proposed Women Safety Gadget(WSG)aims to design a wearable safety device model based on Internet-of-Things(IoT)and Cloud *** is designed in three layers,namely layer-1,having an android app;layer-2,with messaging and location tracking system;and layer-3,which updates information in the cloud *** can detect an unsafe condition by the pressure sensor of the finger on the artificial nail,consequently diffuses a pepper spray,and automatically notifies the saved closest contacts and police station through messaging and location *** has a response time of 1000 ms once the nail is pressed;the average time for pulse rate measure is 0.475 s,and diffusing the pepper spray is 0.2–0.5 *** average activation time is 2.079 s.

关键词： Perpetrator safety IoT women security GPS tracking GSM

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Early SkinDiseaseIdentification Using Deep Neural Network

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Computer Systems Science & Engineering 2023年第3期44卷 2259-2275页

作者： vinay Gautam Naresh kumar Trivedi Abhineet Anand Rajeev Tiwari Atef Zaguia Deepika Koundal Sachin Jain Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraIndia School of Computer Science University of Petroleum and Energy StudiesDehradun248007UttarakhandIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Department of Systemics University of Petroleum&Energy StudiesDehradunIndia ABES Institute of Technology GhaziabadIndia

Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and *** disease is the most common disorder triggered by fungus,viruses,bacteria,allergies,*** diseases are most dangerous and may be the cause of serious ***,it requires to diagnose it at an earlier stage,but the diagnosis therapy itself is complex and needs advanced laser and photonic *** advance therapy involvesfinancial burden and some other ill ***,it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier *** techniques have been proposed to detect skin disease at an earlier stage but fail to get ***,the primary goal of this paper is to classify,detect and provide accurate information about skin *** paper deals with the same issue by proposing a high-performance Convolution neural network(CNN)to classify and detect skin disease at an earlier *** complete meth-odology is explained in different folds:firstly,the skin diseases images are pre-processed with processing techniques,and secondly,the important feature of the skin images are ***,the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network(DCNN).The approach proposed in this paper is simple,fast,and shows accurate results up to 98%and used to detect six different disease types.

关键词： Convolution neural network(CNN) skin disease deep learning(DL) image processing artificial intelligence(AI)

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