Ministry of Education
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Mr Chandrasekhar N

vidwan id: 262284
Male

Scientific Officer E, Metallurgy and Materials Group
Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam

Orchid Icon 0000-0002-6438-6163 Google Scholar Icon 24463618300

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 26
Books 0
Proceedings 0

Publications

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Scopus

Citations 783
h-index 15

CrossRef

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Citations 737
h-index 14
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Bio

Development of models by soft computing techniques for welding process

Personal Details

  • Male
  • Scientific Officer E , Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam
  • Indira Gandhi Centre for Atomic Research, Kalpakkam
BE
Other Institute 2012
Scientific Officer E Mar 1995 – Present
Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam | Metallurgy and Materials Group

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Co-Authors (8)

Baldev

Dr Baldev Raj

N/A

Arun Kumar

Dr Arun Kumar Bhaduri

N/A

Vasudevan

Dr Vasudevan M

Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam

Dipti Prasad

Prof Dipti Prasad Mukherjee

Indian Statistical Institute, Kolkata

K R

Dr K R Balasubramanian

National Institute of Technology Tiruchirappalli

Mahadevan

Dr Mahadevan S

Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam

Nikhil Ranjan

Prof Nikhil Ranjan Pal

Indian Statistical Institute, Kolkata

Vasantharaja

Mr Vasantharaja P

Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam

Scholarly Work

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Scholarly Publications

Thermo-mechanical analysis of TIG welding of AISI 316LN stainless steel

Open Access
Article
Materials and Manufacturing Processes. Year: 2014. Volume: 29 , Issue: 8 , Pages: 903-909 .
Authors: Ganesh K.;Vasudevan M.;Balasubramanian K.;Chandrasekhar N.;Vasantharaja P.
DOI 10.1080/10426914.2013.872266
27 32

Intelligent modeling using adaptive neuro fuzzy inference system (ANFIS) for predicting weld bead shape parameters during A-TIG welding of reduced activation ferritic-martensitic (RAFM) steel

Open Access
Article
Transactions of the Indian Institute of Metals. Year: 2013. Volume: 66 , Issue: 1 , Pages: 57-63 .
Authors: Vishnuvaradhan S.;Chandrasekhar N.;Vasudevan M.;Jayakumar T.
DOI 10.1007/s12666-012-0178-x
9 16

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling

Open Access
Article
Journal of Intelligent Manufacturing. Year: 2012. Volume: 23 , Issue: 5 , Pages: 1995-2001 .
Authors: S. Chokkalingham ., N. Chandrasekhar ., M. Vasudevan .,
DOI 10.1007/s10845-011-0526-4
58 58

Predicting weld bead width and depth of penetration from infrared thermal image of weld pool using artificial neural network

Open Access
Article
Year: 2012. Volume: 54 , Issue: 5 , Pages: 272-277 .
Authors: S Chokkalingham ., M Vasudevan ., S Sudarsan ., N Chandrasekhar .,
DOI 10.1784/insi.2012.54.5.272
7 6

Real-time monitoring of weld pool during GTAW using infra-red thermography and analysis of infra-red thermal images

Open Access
Article
Welding in the World. Year: 2011. Volume: 55 , Issue: 7-8 , Pages: 83-89 .
Authors: Vasudevan M.;Chandrasekhar N.;Maduraimuthu V.;Bhaduri A.;Raj B.
DOI 10.1007/BF03321311
30 37

Real-time monitoring of weld pool during GTAW using infrared thermography and analysis of infrared thermal images

Open Access
Article
Year: 2011. Volume: 63 , Issue: 5 , Pages: 685-692 .
Authors: Vasudevan M.;Chandrasekhar N.;Maduraimuthu V.;Bhaduri A.;Raj B.

Genetic algorithm for optimisation of A-TIG welding process for modified 9Cr-1Mo steel

Open Access
Article
Science and Technology of Welding and Joining. Year: 2010. Volume: 15 , Issue: 2 , Pages: 117-123 .
Authors: M. Vasudevan ., V. Arunkumar ., N. Chandrasekhar ., V. Maduraimuthu .,
DOI 10.1179/136217109X12577814486773
24 26

Artificial neural network modeling for estimating the depth of penetration and weld bead width from the infra red thermal image of the weld pool during A-TIG welding

Open Access
Conference Paper
Year: 2010. Volume: 6457 LNCS , Pages: 270-278 .
Authors: S. Chokkalingham ., N. Chandrasekhar ., M. Vasudevan .,
DOI 10.1007/978-3-642-17298-4_28
4 6