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| 1 | Multi-length scale modeling of carburization,martensitic microstructure evolution and fatigue properties of steel gears显示文摘Multi-length scale modeling is performed to(i)predict the carburized case depth of SAE8620 steel gears by solving the Fick’s second law of diffusion,(ii)model the martensitic microstructure evolution in a grain inside the carburized case as well as to study the effect of stress cycling on retained austenite(RA)and martensite using a 3D phase-field model,(iii)simulate the effect of carburization and different RA contents on macroscale fatigue behavior of SAE8620 steel spur gear using the finite element method.The diffusion model predicts that the case depth increases with increasing heat treatment time and temperature.The phase-field simulations show that RA can transform to martensite during fatigue loading,where the extent of the transformation will depend on the type of stresses applied,i.e.stresses in a high stress regime or low stress regime of fatigue loading.Reverse transformation of martensite to austenite is also observed in low RA sample under high stress regime.The macroscale simulations show that the carburized case with high RA gives rise to better fatigue life compared to that with low RA. | Edward Charles Henry Crawford O’Brien Hemantha Kumar Yeddu | 2020 | Journal of Materials Science & Technology2020，47，14： | 5 |
| 2 | Finite element analysis of dynamic stability of skeletal structures under periodic loading显示文摘This paper addresses the dynamic stability problem of columns and frames subjected to axially applied periodic loads. Such a structure can become unstable under certain combinations of amplitudes and frequencies of the imposed load acting on its columns/beams. These are usually shown in the form of plots which describe regions of instability. The finite element method (FEM) is used in this work to analyse dynamic stability problems of columns. Two-noded beam elements are used for this purpose. The periodic loading is decomposed into various harmonics using Fourier series expansion. Computer codes in C++ using object oriented concepts are developed to determine the stability regions of columns subjected to periodic loading. A number of nu-merical examples are presented to illustrate the working of the program. The direct integration of the equations of motions of the discretised system is carried out using Newmark’s method to verify the results. | THANA Hemantha Kumar AMEEN Mohammed | 2007 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2007，8，2： | 4 |
| 3 | Silver - enhanced reduction of 2,3,5 - triphenyl - 2H - tetrazolium by semicarbazide for the spectrophotometric determination of traces of silver(I) 显示文摘 | Nagaraja P Hemantha Kumar MS Yathirajan HS | 2002 | Anal Sci2002，18，7： | 1 |
| 4 | (2D)2 LDA: An efficient approach for face recognition 显示文摘 | Noushath S Hemantha Kumar G Shiva kumara P | 2006 | Pattern Recognition2006，39，7： | 1 |
| 5 | Skew Detection Technique for Binary Document Images based on Hough Transform 显示文摘 | Manjunath Aradhya V N Hemantha Kumar G and Shivakumara P | 2006 | International Journal of Information Technology2006，3，1： | 1 |
| 6 | (2D) 2LDA : An efficient approach for face recognition 显示文摘 | Noushath S Hemantha Kumar G | 2006 | Pattern Recognition2006，39，7： | 1 |
| 7 | Skew Detection Technique for Binary Document Images based on Hough Transform显示文摘 | Manjunath Aradhya V N Hemantha Kumar G Shivakumara P | 2007 | international journal of information technology2007，，3： | 1 |
| 8 | (2D)^2LDA: An efficient approach for face recognition显示文摘 | Noushath S Hemantha Kumar G Shivakumara P | 2006 | Pattem Recognition2006，39，7： | 1 |
| 9 | (2D) 2LDA,,An efficient approach for face recognition显示文摘 | Noushath S Hemantha Kumar G Shivakumara P | 2006 | Pat- tern Recognition2006，39，： | 1 |
| 10 | A novel boundary growing approach for accurate skew estimation of binary document images显示文摘 | P Shivakumara G Hemantha Kumar | 2006 | Pattern Recognition Letters2006，27，7： | 1 |
| 11 | (2D)2LDA:An efficient approach for face recognition显示文摘 | S Noushath G Hemantha Kumar P Shivakumara | 2006 | Pattern Recognition2006，39，7： | 1 |
| 12 | Silver- enhanced reduction of 2, 3, 5 - triphenyl -2H - tetrazolium by sem icarbazide for the spectrophotam etric determ ineation of traces of silver (I) 显示文摘 | NAGARAJA P HEMANTHA - KUMAR M S YATHIRAJIAN H S | 2002 | AnalSci2002，18，7： | 1 |
| 13 | (2D) 2 LDA: An efficient approach for face recognition显示文摘 | Noushath S Hemantha Kumar G Shivakumara P | 2006 | Pattern Recogni tion2006，39，7： | 1 |
| 14 | Silver- en-hanced reduction of 2, 3,5 - triphenyl - 2H - tetrazolium by semicarbazide for the spectrophotometric determination of traces of silver(Ⅰ) 显示文摘 | Nagaraja P Hemantha Kumar MS Yathirajan HS | 2002 | Anal Sci2002，18，7： | 1 |
| 15 | Use of Discrete Wavelet Features and Support Vector Machine for Fault Diagnosis of Face Milling Tool显示文摘This paper presents the fault diagnosis of face milling tool based on machine learning approach.While machining,spindle vibration signals in feed direction under healthy and faulty conditions of the milling tool are acquired.A set of discrete wavelet features is extracted from the vibration signals using discrete wavelet transform(DWT)technique.The decision tree technique is used to select significant features out of all extracted wavelet features.C-support vector classification(C-SVC)andν-support vector classification(ν-SVC)models with different kernel functions of support vector machine(SVM)are used to study and classify the tool condition based on selected features.From the results obtained,C-SVC is the best model thanν-SVC and it can be able to give 94.5%classification accuracy for face milling of special steel alloy 42CrMo4. | C.K.Madhusudana N.Gangadhar Hemantha Kumar S.Narendranath | 2018 | Structural Durability & Health Monitoring2018，12，2： | 1 |
| 16 | (2D)2LDA: an efficient approach for face recognition显示文摘 | Noushatha S Hemantha Kumar G Shivakumara P | 2005 | Pattern Recognition2005，26，： | 1 |
| 17 | ( 2D)2LDA: a efficient approach for face recognition 显示文摘 | S Noushath G Hemantha Kumar | 2006 | Pattem Recognition2006，39，7： | 1 |
| 18 | Comparative Study on Tool Fault Diagnosis Methods Using Vibration Signals and Cutting Force Signals by Machine Learning Technique显示文摘The state of cutting tool determines the quality of surface produced on the machined parts.A faulty tool produces poor sur face,inaccurate geometry and non-economic production.Thus,it is necessary to monitor tool condition for a.machining process to have superior quality and economic production.In the pre-sent study,fault classification of single point cutting tool for hard turning has been carried out by employing machine learning technique.Cutting force and vibration signals were acquired to monitor tool condition during machining.A set of four tooling conditions namely healthy,worn flank,broken insert and extended tool overhang have been considered for the study.The machine learning technique was applied to both vibration and cutting force signals.Discrete wavelet features of the signals have been extracted using discrete wavelet trans formation(DWT).This transformation represents a large dataset into approximation coeffcients which contain the most useful information of the dataset.Significant features,among features extracted,were selected using J48 decision tree technique.Clas-sification of tool conditions was carried out us ing Naive Bayes algorithm.A 10 fold cross validation was incorporated to test the validity of classifier.A comparison of performance of classifier was made between cutting force and vibration signal to choose the best signal acquisition method in classifying tool fault conditions using machine learning technique. | Suhas S.Aralikatti K.N.Ravikumar Hemantha Kumar H.Shivananda Nayaka V.Sugumaran | 2020 | Structural Durability & Health Monitoring2020，14，2： | 1 |
| 19 | Dapsone : a new diazotizing reagent for the spectrophotometric determination of nitrite in waste and natural water samples 显示文摘 | Nagam ja P Hemantha Kumar MS Nallikar juna NN | 2002 | Ann China2002，92，12： | 1 |
| 20 | (2D)2LDA:an efficient approach for face recognition显示文摘 | Noushatha S Hemantha Kumar G Shivakumara P | 2005 | Pattern Recognition2005，39，7： | 1 |
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