Informatics Publishing Limited

H. Balaji ¹, A. Govardhan ²

Affiliations
1 JNTU Anantapur, Anantapuramu, Andhra Pradesh, IN
2 SIT, JNTUH Hyderabad, Telangana State, IN

Abstract

Data extraction (IE) is the task of removing sorted out information from unstructured semi composed machine clear reports. In a huge part of cases this development concerns taking care of human vernacular messages by system for trademark tongue planning. Information extraction has not got as much thought as information retrieval (IR) and is routinely baffled with the later. The task of IR is to look over a get-together of artistic reports, a subset which is pertinent to a particular request, considering essential word chase and possibly extended by the use of a thesaurus. The IR gets ready conventionally and gives back a situated once-over of documents, where the rank contrasts with the relevance score that the structure assigned to the chronicle in light of the request. This paper proposes double handling data extraction technique (DPIE), where backward classification is used with normal preprocessing technique. These are data processing and query processing. This system gives better results when contrasted with existing rules.

Keywords

Information Retrieval, Classification, Tag, Preprocessing, Data Extraction.

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C. Rajendran ¹, K. Srinivasan ¹, V. Balasubramanian ¹, H. Balaji ², P. Selvaraj ²

Affiliations
1 Centre for Materials Joining and Research (CEMAJOR), Dept of Manufacturing Engineering, Annamalai University, Annamalainagar, IN
2 Aeronautical Development Agency (ADA), Bangalore, IN

Abstract

AA2014 aluminum alloy (Al-Cu alloy) has been widely utilized in fabrication of lightweight structures like aircraft structures, demanding high strength to weight ratio and good corrosion resistance. The fusion welding of these alloys will lead to solidification problems such as hot cracking, alloy segregation, partially melted zone, and porosity. Friction stir welding is a new solid state welding process, in which the material being welded does not melt and recast. Lot of research works have been carried out by many researchers to optimize process parameters and establish empirical relationships to predict tensile strength of friction stir welded butt joints of aluminum alloys. However, very few investigations have been carried out on friction stir welded lap joints of aluminum alloys. Hence, in this investigation, an attempt has been made to develop empirical relationship to predict strength of friction stir lap welded (FSLW) joints of AA2014 aluminum alloy using statistical tools such as design of experiments (DoE), analysis of variance (ANOVA). The developed empirical relationship can be effectively used to predict the strength of friction stir welded lap joints of AA2014 -T6 aluminum alloy at the 95% confidence level.

Keywords

Friction STIR Welding, Aluminum Alloy, Design of Experiment, Lap Joint, Tensile Strength.

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C. Rajendran ¹, K. Srinivasan ¹, V. Balasubramanian ¹, H. Balaji ², P. Selvaraj ²

Affiliations
1 Center for Materials Joining and Research, Dept of Manufacturing Engg, Annamalai University, Annamalainagar, Tamil Nadu, IN
2 Aeronautical Development Agency, Bangalore, IN

Abstract

AA2014 aluminum alloy has been widely used in aircraft and automotive industries as structural members. Conventionally, these structures were fabricated using rivets, as it is difficult to join this alloy by fusion welding processes. Friction Stir Welding (FSW) can be successfully applied to replace the riveted construction of aluminum alloy (AA2014) in aircraft structures. Hence, an attempt has been made to evaluate and compare the load carrying capabilities of FSW joints and riveted joints of AA2014 aluminum alloy. FSW joints were fabricated using optimized process parameters, and riveted joints were fabricated using standard shop floor practice in butt and lap configurations. FSW joints exhibited 75% higher tensile and shear fracture load compared to the riveted joints.

Keywords

Aluminum Alloys, Friction Stir Welding, Riveting, Butt and Lap Joint.

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