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Experimental study and statistical analysis of bending titanium alloy sheet with continuous wave fiber laser

Hussain Manowar, Gupta Ankit, Kumar Pankaj, Hussain Md. Izhar, Das A. K

Archives of Civil and Mechanical Engineering

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2022

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Vol. 22, no. 3

art. no. e110

EN

This paper represents the study of the bending behavior of sheets made of titanium alloy (Ti-6Al-4V) by irradiating with the continuous waveform fiber laser with maximum power capacity of 400 W. For this research, the impacts of various input parameters i.e., as laser scanning speed, laser power, and diameter of laser beam, on bending of Ti6Al4V sheet were taken into consideration. The effects on the bending angle by various parameters were investigated. All the experiments were conducted on 1 mm thick Ti6Al4V sheet. Microscopic analysis was also performed to observe the microstructural changes in the bend region of titanium sheet with increase in energy density of laser system. Laser scanning speed, laser power, and spot diameter of laser beam showed a significant amount of contribution in bending of titanium alloy sheet. Bending angle was found to increase with increase in energy density up to threshold level while it was found to decrease with increase in spot diameter and spot diameter. Fiber laser power and laser scanning speed were the most influential input parameters in deciding the amount of bending angle using statistical tools like Principal component analysis (PCA) and ANOVA. On successful application of Response surface methodology (RSM), laser power of 50.573 W and scanning speed of 108.242 mm/min were found to be optimum values for significant bend angle.

2

Secure energy efficient routing protocol for wireless sensor network

Das A. K, Chaki R., Dey K. N.

Foundations of Computing and Decision Sciences

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2016

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Vol. 41, No. 1

3--27

EN

The ease of deployment of economic sensor networks has always been a boon to disaster management applications. However, their vulnerability to a number of security threats makes communication a challenging task. This paper proposes a new routing technique to prevent from both external threats and internal threats like hello flooding, eavesdropping and wormhole attack. In this approach one way hash chain is used to reduce the energy drainage. Level based event driven clustering also helps to save energy. The simulation results show that the proposed scheme extends network lifetime even when the cluster based wireless sensor network is under attack.

3

Map image binarization and stitching using extraction of regions

Mandal S., Biswas S., Das A. K, Chanda B.

Journal of Theoretical and Applied Computer Science

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2015

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Vol. 9, nr 1

28--40

EN

Binarisation methods already reported are inadequate for binarisation of complex documents such as maps due to large intensity variations across the regions and entangled texts with lines representing borders, rivers, roads and similar other components. This paper proposes a new binarisation technique for coloured land map images by extracting the regions and analysing the hue, saturation spread and within class kurtosis. This is a region-wise adaptive algorithm to cope up with the sharp changes of the discriminating features across different regions. Here, local regions are selected as clusters having the same hue and saturation. The regions are individually binarised using the spread of their degree of within class kurtosis and finally combined together. The regions extracted are further utilised for stitching of map documents which contain some portion in common. We use a simple greedy technique using correlation matching to join two or more map images such that information from both can be viewed and compared. Our experiments include 446 colour maps from the map image database created for this purpose and made freely available at website. This work is an extended version of our previous work on map image binarisation [1].

4

Text Segmentation from Bangla Land Map Images

Biswas S., Das A. K, Chanda B.

Image Processing & Communications

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2014

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Vol. 19, no. 1

21--34

EN

Text segmentation from land map images is a non-trivial task as map components are interleaved and overlapped in a complex spatial form. The characters in a word in most of the Indic languages, including Bangla (the 6th most spoken language in the world), are connected through a headline (”matra” or ”shirorekha”) which makes the corresponding word a single component. It has been observed that the Delaunay triangulation (DT) forms a number of small triangles on the text regions compared to other regions of the map - a property very much discernible for Bangla (and some other Indic scripts) texts. This property is primarily exploited here to segment text from the complex background of the land map images. The proposed text segmentation approach is tested and compared with an existing method on a collected dataset of paper map images( containing Bangla, an Indian regional language texts) and the results are encouraging.