Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/359
Nаziv: | Evolutionary optimization of jet lag in the abrasive water jet machining | Аutоri: | Gostimirović, Marin Pucovsky V. Sekulić, Mirjana Rodić, Dragan Pejic V. |
Dаtum izdаvаnjа: | 19-апр-2019 | Čаsоpis: | International Journal of Advanced Manufacturing Technology | Sažetak: | © 2018, Springer-Verlag London Ltd., part of Springer Nature. One of the main characteristics of abrasive water jet machining (AWJM) is jet lag effect. In this case, by controlling basic machining parameters (water pressure, cutting speed, and abrasive mass flow rate), evolutionary algorithm is used for modeling and optimization of trajectory curvature in AWJM process. Based on experimental investigation, genetic programming was used as the main exploration tool for generating function of the jet lag depending on the machining conditions and as a potential way in the AWJM simulation. Judging by the output, the genetic programming yielded impressive results and has proven to be very practical for modeling of the abrasive water jet trajectory curvature. In the sequel, the optimization of AWJM process is used approximate optimal control problem which leads to the best solution for the jet lag considering the machining parameters. With this action, we can say that different access has been made to find precise dependence of AWJM process parameters with the trajectory curvature to obtain high productivity and quality results. | URI: | https://open.uns.ac.rs/handle/123456789/359 | ISSN: | 2683768 | DOI: | 10.1007/s00170-018-3181-5 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
20
prоvеrеnо 29.04.2023.
Prеglеd/i stаnicа
31
Prоtеklа nеdеljа
4
4
Prоtеkli mеsеc
4
4
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.