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RISS 인기검색어
- 검색키워드
- 저자 : Irshad Ahmad Khan (검색결과 2 건)
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Fault detection of composite beam by using the modal parameters and RBFNN technique
Irshad Ahmad Khan,Dayal Ramakrushna Parhi 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.4
The detection of transverse cracks in terms of their location and intensity by using the radial basis function neural network (RBFNN)technique is analyzed in the current research and validated with experimental investigation. The glass fiber-reinforced epoxy composite isused in this research because of its valuable features, such as high stiffness and strength-to-weight ratios, good fatigue and wear resistance,and damage tolerance capability compared with isotropic material. The theoretical and numerical investigations are performed toobtain a relationship between the change in natural frequencies and mode shapes for the cracked and noncracked composite beam. Numericalanalysis is performed by using the finite element software ANSYS on cracked and noncracked composite beams to measure themodal parameters, such as natural frequencies and mode shapes. These parameters are used to design an artificial intelligent controllerbased on the RBFNN-type neural network for predicting crack severity and its intensity. The relative natural frequencies and modeshapes (First, second, and third modes) of vibration are used as input data to the RBFNN controller, and the relative crack locations andcrack depths are the output of RBFNN. Results from theoretical and numerical analysis are compared with the experimental results, and agood agreement is observed between them.
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Manoj Kumar Lohumi,Aas Mohammad,Irshad Ahmad Khan 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.12
The problem of isomorphism among kinematic chains and their derived mechanism has been a hot area of research from last several years. The researchers so far have proposed many methods which are mainly based on characteristic polynomial and some code based methods to test the isomorphism among kinematic chains. In this present communication a hierarchical clustering based computerized method is proposed for the above said problem and it is tested for planar kinematic chains upto twelve links without any counter examples. In this method a hierarchical clustering algorithm is also developed for the identification of distinct mechanism derived from kinematic chains. In this method kinematic chains are represented in the form of weighted squared shortest path distance matrix and this matrix is further transformed in the form of tree or dendrogram with the help of hierarchical clustering algorithm. This algorithm directly gives the number of distinct mechanism derived from a given kinematic chain. The cophenetic correlation coefficient of dendrogram is used as an index for isomorphism identification among kinematic chains. The proposed method is efficient and accurate and only one matrix for a given kinematic chain is developed for the determination of distinct mechanisms. This method is successfully examined for one degree of freedom, 6, 8, 10, 12 links planar kinematic chains, 9 links two degree of freedom and 10 links three degree of freedom planar kinematic chains. The computer algorithm for the proposed method has been proposed which can easily be converted into a computer program. These results are useful for designers to detect isomorphism in mechanisms derived from kinematic chains and duplication among kinematic chains.
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