naa a22 4500 510822819 CHVBK 20180411083541.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s12541-013-0152-5 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0152-5 Computer-aided genetic algorithm based multi-objective optimization of laser trepan drilling [Elektronische Daten] [Sanjay Kumar, Avanish Dubey, Arun Pandey] The laser trepan drilling (LTD) has proven to produce better quality holes in advanced materials as compared with laser percussion drilling (LPD). But due to thermal nature of LTD process, it is rarely possible to completely remove the undesirable effects such as recast layer, heat affected zone and micro cracks. In order to improve the hole quality, these effects are required to be minimized. This research paper presents a computer-aided genetic algorithm-based multi-objective optimization (CGAMO) methodology for simultaneous optimization of multiple quality characteristics. The optimization results of the software CGAMO has been tested and validated by the published literature. Further, CGAMO has been used to simultaneously optimize the recast layer thickness (RLT) at entrance and exit in LTD of nickel based superalloy sheet. The predicted results show minimization of 99.82% and 85.06% in RLT at entrance and exit, respectively. The effect of significant process parameters on RLT has also been discussed. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Laser trepan drilling nationallicence Recast layer thickness nationallicence Regression analysis nationallicence Genetic algorithm nationallicence Multi-objective optimization nationallicence Kumar Sanjay Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut Dubey Avanish Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut Pandey Arun Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/7(2013-07-01), 1119-1125 2234-7593 14:7<1119 2013 14 12541 https://doi.org/10.1007/s12541-013-0152-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0152-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kumar Sanjay Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut NATIONALLICENCE 700 1- Dubey Avanish Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut NATIONALLICENCE 700 1- Pandey Arun Mechanical Engineering Department, Motilal Nehru National Institute of Technology Allahabad, 211004, Allahabad, Uttar Pradesh, India aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/7(2013-07-01), 1119-1125 2234-7593 14:7<1119 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer