http://localhost:8080/xmlui/handle/123456789/8115 2026-04-30T09:33:47Z 2026-04-30T09:33:47Z Parmar, Anil I. Bhatt, K. D. Mewada, B. G. http://localhost:8080/xmlui/handle/123456789/8124 2020-11-27T09:41:34Z 2015-12-01T00:00:00Z

Investigation on Effect of Tool Size & Welding Parameters on FSW Butt Joint – A Review Parmar, Anil I.; Bhatt, K. D.; Mewada, B. G. This review paper discuss about the effect of tool geometry (Tool Pin Profile & Tool Shoulder Diameter) and different friction stir welding parameters like Tool rotational speed, Tool travel speed, Tool travel speed, Tool force on butt weld joint of different sizes and grades of material. The tool profile plays critical role in determining the end properties of welding joint apart from other parameters like rotational speed, welding speed and axial force. [1] [2] the paper focuses on FSW parameters in different conditions and their effect on mechanical properties and microstructure of weld join. [2] The careful selection of FSW process parameters can avoid the void formation, micro cracks and other defects.[15]

2015-12-01T00:00:00Z Yadav, Arvind R. Anand, R.S. Dewal, M.L. Gupta, Sangeeta http://localhost:8080/xmlui/handle/123456789/8121 2020-11-27T09:33:41Z 2015-12-01T00:00:00Z

Gaussian image pyramid based texture features for classification of microscopic images of hardwood species Yadav, Arvind R.; Anand, R.S.; Dewal, M.L.; Gupta, Sangeeta This paper presents a texture feature based approach for hardwood species classification. The three existing feature extraction techniques such as local binary pattern (LBP), local configuration pattern (LCP) and local phase quantization (LPQ) are integrated here with Gaussian image pyramid (GIP) which results in improvement of classification accuracy. The texture features are extracted at seven different decomposition levels generated by the GIP. These texture features are fed as input to linear support vector machine (SVM) classifier that uses 10-fold cross validation approach of classification. The results of combination of GIP decomposition with individual texture feature extraction techniques and linear SVM classifier have been compared. The comparison yields that Gaussian image pyramid based local phase quantization (GPLPQ) texture feature extraction technique using third (3rd) level of image decomposition results in the best classification accuracy of 98.60% for hardwood species. The proposed integration of GIP and texture feature extraction techniques also proves to be an effective tool of classification for texture surface database. For texture surface database, Gaussian image pyramid based rotation invariant uniform local configuration pattern (GPLCPriu2) has achieved 98.00% classification accuracy.

2015-12-01T00:00:00Z Patel, Debasis Goswami, Arup Kumar Singh, Santosh Kumar http://localhost:8080/xmlui/handle/123456789/8116 2020-11-27T09:23:52Z 2015-10-01T00:00:00Z

Voltage Sag Mitigation in an Indian Distribution System Using Dynamic Voltage Restorer Patel, Debasis; Goswami, Arup Kumar; Singh, Santosh Kumar Now a day’s most power quality problems in distribution systems are related to voltage sags. Hence, diverse solutions have been tried to compensate these voltage sags to circumvent financial losses due to voltage sag at industries. Dynamic voltage restorers (DVRs) are now becoming more recognized in industries to diminish the impact of voltage sags to sensitive loads. The DVR, which is placed in series with a sensitive load, must be able to react speedily to a voltage sag if end users of sensitive equipment are to experience no voltage sags. This paper discusses the use of series reactive injection as a voltage regulator. The proposed approach is to develop analytical aspects and to illustrate these by an example of a real Indian distribution system. Voltage sag can be eliminated by continuously injecting very small voltage profile to the system. The scheme combines the method of instantaneous symmetrical components and complex Fourier transform relations. The proposed technique, based on half-cycle averaging, can mitigate voltage sag at desired locations in distribution systems. The proposed methodology is applied in a 4 bus system and a real Indian distribution system.

2015-10-01T00:00:00Z