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Improvement of Deep Groove Ball Bearing’s Performance Using a Bionic Textured Inner race

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Journal of Bionic Engineering 2021年第4期18卷 974-990页

作者： k.E.Ch.Vidyasagar r.k.pandey Dinesh kalyanasundaram Center for Biomedical Engineering Indian Institute of Technology DelhiNew Delhi110016India Department of Biomedical Engineering College of EngineeringOsmania UniversityHyderabad500007India Department of Mechanical Engineering Indian Institute of Technology DelhiNew Delhi110016India Department of Biomedical Engineering All India Institute of Medical SciencesNew Delhi110029India

Micro-textured surfaces have improved the tribological performance of contact surfaces under lubricated conditions;however,not practiced due to manufacturing *** addition to simpler micro-pits or straight-trench type textures,sophisticated bioinspired textures on commercial radial ball bearings have been scarcely *** this work,Dendroaspis polylepis(Mamba snake)skin-type textures were fabricated on the inner race of FAG radial ball bearings using a nanosecond fiber laser *** the snake textures were primarily meant to enhance friction,the dimensions of the texture have been carefully chosen to improve the tribological performance under lubricated *** textured bearings were assembled and experimented at various rotational speeds and lightly loaded conditions to measure vibrational amplitude,frictional torque,and temperature *** to untextured(conventional)bearing,the snake-skin type textured bearings resulted in improved tribo-dynamic performance.

关键词： bionic texture radial ball bearing frictional torque vibration temperature

An exploration of frictional and vibrational behaviors of textured deep groove ball bearing in the vicinity of requisite minimum load

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Friction 2021年第6期9卷 1749-1765页

作者： k.E.Ch.VIDYASAGAr r.k.pandey Dinesh kALYANASUNDArAM Center for Biomedical Engineering Indian Institute of Technology DelhiNew Delhi 110016India Department of Biomedical Engineering College of EngineeringOsmania UniversityTelangana 500007India Department of Mechanical Engineering Indian Institute of Technology DelhiNew Delhi 110016India Department of Biomedical Engineering Indian Institute of Technology DelhiNew Delhi 110016India

In case of lightly loaded radial ball bearings,failure mechanisms other than fatigue such as smearing of raceways due to increased frictional torque and vibrations often ***,attempts have been made herein for reducing the frictional torque and minimizing the vibrations of a radial deep groove ball bearing employing surface textures at the inner *** pulsed laser was used to create texture(involving micro-dimples having different dimple area density)on the inner race of test *** an in-house developed test rig,frictional torque and vibrational parameters were measured at different speeds and light loads(*** vicinity of 0.01C,where C is dynamic load capacity of radial ball bearing).Significant reduction in frictional torque and overall vibrations were found in the presence of micro-dimples on inner race at light loads irrespective of operating *** without satisfying the minimum load needed criteria for the satisfactory operation,substantial reduction in smearing marks was found on the races of textured ball bearings in comparison to conventional cases.

关键词： ball bearing textured inner race grease lubricated frictional torque vibration

Experimental study and Shannon entropy analysis of pressure fluctuations and flow mode transition in fluidized dense phase pneumatic conveying of fly ash

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Particuology 2020年第2期18卷 169-178页

作者： Yassin Alkassar Vijay kAgarwal rkpandey Niranjana Behera Industrial Tribology Machine Dynamic and Maintenance Engineering CentreIndian Institute of Technology DelhiNew Delhi 110016India Department of Mechanical Engineering Indian Institute of Technology DelhiNew Delhi 110016India School of Mechanical Engineering Vellore Institute of Technology UniversityVellore 632014India

The objective of this study was to relate experimental pressure fluctuation behavior to the transition in mode of flow observed in fluidized dense phase pneumatic conveying of fly *** entropy and wavelet analysis were utilized to extract features of the flow *** db4 wavelet analysis of pulsating air pressure revealed that the flow mechanism of fly ash in a fluidized dense phase possessed non-steady characteristics associated with gradual aeration of dunes along the direction of *** of Shannon entropy values along the length of the pipeline were assessed to determine the location at which the flow converted from dense to dilute phase *** effects of conveying parameters and specific power consumption on Shannon entropy and variations of the local power consumption coefficient are discussed.

关键词： Fluidized dense phase Mode transition Wavelet Shannon entropy

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密度对蚕豆生长、干物质和产量的影响

国外农学-杂粮作物 1984年第1期 53-53页

作者： r.k.pandey 董明远

在印度,蚕豆的子实产量比其它冬季豆类高得多,作为食用豆其潜力很大。影响获得高产的原因之一是种植密度低。为此进行了最适密度的研究。田间试验采用6个种植密度,即每平方米为11.1、16.6、22.2、33.3、66.6和133.2株。这些密度的行株... 详细信息

在印度,蚕豆的子实产量比其它冬季豆类高得多,作为食用豆其潜力很大。影响获得高产的原因之一是种植密度低。为此进行了最适密度的研究。田间试验采用6个种植密度,即每平方米为11.1、16.6、22.2、33.3、66.6和133.2株。这些密度的行株距分别为60×15、60×10、30×15、30×10、30×5和15×5厘米。随机区组设计,3次重复,小区面积为6×4米。

关键词：种植密度食用豆田间试验随机区组设计总干重冠层粒数植株密度生长速率保护行

Activator-assisted electroless deposition of copper nanostructured films

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International Journal of Minerals,Metallurgy and Materials 2014年第2期21卷 196-203页

作者： Varsha r. Mehto r. k. pandey Department of Physics Barkatullah University NIIT University

This paper showed simple and effective synthesis of copper nanoparticles within controlled diameter using direct electroless deposition on glass substrates, following the sensitization and activation steps. Electroless-deposited metals, such as Cu, Co, Ni, and Ag, and their alloys had many advantages in micro- and nanotechnologies. The structural, morphological, and optical properties of copper deposits were characterized using X-ray diffraction （XrD）, atomic force microscopy （AFM）, and UV-Vis spectroscopy. The structural data was further analyzed using the rietveld refinement program. Structural studies reveal that the deposited copper prefers a （111） orientation. AFM studies suggest the deposited materials form compact, uniform, and nanocrystalline phases with a high tendency to self-organize. The data show that the particle size can be controlled by controlling the activator concentration. The absorption spectra of the as-deposited copper nanoparticles reveal that the plasmonic peak broadens and exhibits a blue shift with decreasing particle size.

关键词： nanostructured materials thin films copper electroless plating deposition

Seismic stratigraphy and the sedimentation history in the Laxmi Basin of the eastern Arabian Sea:Constraints from IODP Expedition 355

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Geoscience Frontiers 2021年第3期12卷 489-502页

作者： Nisha Nair Dhananjai k.pandey Anju pandey r.Prerna National Centre for Polar and Ocean research(NCPOr) Ministry of Earth SciencesVasco-da-GamaGoa 403804India H-V3-NCPOr Campus Vasco-da-GamaGoa 403804India

Detailed interpretation of seismic stratigraphic sequences in the Laxmi Basin of the eastern Arabian Sea are presented in this study using closely spaced high resolution multi-channel seismic(MCS)*** stratigraphic interpretation is further corroborated using recent drilling results in the Laxmi Basin,derived from the long sediment cores collected during International Ocean Discovery Program(IODP)Expedition *** core-log interpretation discussed in the present study,offer important insights about the lithostratigraphic variations in this *** of multi-channel seismic reflection data reveal five depositional sequences(ranging from Paleocene to recent)that led to the development of this marginal basin since the Cenozoic *** igneous basement is successfully imaged,which was also validated by deep sea coring during the IODP Expedition *** the present study,we primarily focus on the post-rift sedimentation in the Laxmi Basin and its possible *** detailed interpretation in the prevailing tectonic framework of the basin suggests that near-shelf oldest volcaniclastic sedimentation immediately overlying the acoustic basement is linked to the onset of India-Madagascar and India-Seychelles rifting activities during the Late Cretaceous ***,during the Early-Mid to Late Miocene,the basin received maximum sedimentation dominantly through an extensive mass transport mechanism implying possible large-scale deformation on the Indian *** sediment input to the basin appears to have been fed variably via the Indus Fan as well as coastal discharge from the Indian *** total sediment thickness in the Laxmi Basin ranges from 1.1 to 3.5 *** stratigraphic information and sediment isopach maps presented here provide vital information about syn-and post-rift sedimentation pattern in the region and their long term tectonic implications.

关键词： Seismic stratigraphy Laxmi Basin Arabian Sea Site U1456 Site U1457 IODP Expedition 355

Sintered Fe-0.8%C-1.0%Si-0.4%Cu P/M Steel Preform Behaviour During Cold Upsetting

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Journal of Iron and Steel research International 2008年第5期15卷 81-87页

作者： A rajeshkannan k S pandey S Shanmugam r Narayanasamy Thiagarajar College of Engineering ThiruparankundramMadurai 625015Tamil NaduIndia Maulana Azad National Institute of Technology Bhopal 462007Madhya PradeshIndia Department of Mechanical Engineering National Institute of TechnologyTiruchirappalli 620015Tamil NaduIndia Department of Production Engineering National Institute of TechnologyTiruchirappalli 620015Tamil NaduIndia

Cold upsetting experiments were carried out on sintered Fe 0.8%C1.0%Si-0. 4%Cu steel preforms in order to evaluate their deformation characteristics. Powder preforms of 86 % of theoretical density, with two different ratios of height to diameter, were prepared using a suitable die set assembly on a 1.0 MN capacity hydraulic testing machine. Sintering was carried out in an electric muffle furnace for 1.5 h at 1 150 ℃. Each sintered compact was subjected to incremental loading of 0.04 MN under dry friction condition till a crack appeared at the free surfaces. The experimental results were critically analysed, the stress as a function of strain and densification was obtained, then the work hardening behaviour was analyzed. It has been found that in the process of enhancing densification, strength and strain hardening is also induced during upsetting, but the work hardening behaviour is not homogenously enhanced against strain and densification.

关键词： cold upsetting stress height strain densification work hardening behaviour

Landslide Susceptibility Mapping Using rBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using rBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash romulus Costache Manish pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(r)Geological Survey of India Gandhinagar382010India research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for research and Development Tulcea820112Romania Marwadi University research Center(MUrC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined radial Basis Function Networks(rBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-rBFN,MB-rBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-rBFN model,with an Area Under rOC Curve(AUC)of 0.931,outperformed the other *** AB-rBFN model achieved an AUC of 0.929,the MB-rBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-rBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Graph Convolutional Network Based Fault Detection and Identification for Low-voltage DC Microgrid

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Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 917-926页

作者： Ambuj pandey Soumya r.Mohanty Department of Electrical Engineering Indian Institute of Technology(BHU)VaranasiUttar PradeshIndia IEEE

This paper presents a novel fault detection and identification method for low-voltage direct current(DC)microgrid with meshed *** proposed method is based on graph convolutional network(GCN),which utilizes the explicit spatial information and measurement data of the network topology to identify a *** has a more substantial feature extraction ability even in the presence of noise and bad *** adjacency matrix for GCN is developed by considering the network topology as an inherent *** bus voltage and line current samples after faults are regarded as the node ***,the DC microgrid model is developed using PSCAD/EMTDC simulation,and fault simulation is carried out by considering different possible events that include environmental and physical *** performance of the proposed method under different conditions is compared with those of different machine learning techniques such as convolutional neural network(CNN),support vector machine(SVM),and fully connected network(FCN).The results reveal that the proposed method is more effective than others at detecting and classifying *** method also possesses better robustness under the presence of noise and bad data.

关键词： DC microgrid graph convolution network fault detection topological information