Optimization of structural elements by means of genetic algorithms in existing software products

Abstract

Abstract. Purpose. More than half a century, there is an evolutionary mechanism optimization, more than 20 years, many CAE systems  exist  and  develop.  Over  the  years,  accumulating  experience  to  optimize  certain  elements  using  genetic  algorithm.  Majo r  companies  have  developed  platform  to  simplify  calculations  engineer.  Of  course,  a  couple  of  years  did  not  achieve  all  of  these results, but use existing  mechanisms and to create on their  basis of better software, not this thing in our area. In this reg ard, the purpose  of  this  article:  To  investigate  the  possible  mechanisms  of  optimization  from  third-party  systems,  and  the  use  of  these mechanisms  in  the  developed  software  product.  Also,  before  the  author  raises  a  number  of  other  tasks,  such  as  combining  the mechanisms of several software components and use the results to provide a report on all related. Methodology. The main contents of  the study are to examine the possibilities of ANSYS system and platform, the ability to integrate with third -party applications and  bidirectional  transmission  parameters.  The  author  cites  one  of  the  considered  task  solutions.  This  article  describes  how  to  step through the implementation of the system of ANSYS optimization design element. the possible transfer options are also describ ed as of  the  developed  software  product,  and  with  ANSYS  Workrench  platform.  The  developed  model  of  integration  between  the  two  systems  is  implemented  in  software  product  "Selection  of  cross-sections".  Findings.  Element  for  design  optimization  in  ANSYS  system was carried out. The findings are to compare the results of optimization of the developed product. That will contribute to  further improvement of the overall system. The developed model of integration between the two systems has shown the efficienc y of  the ligaments. The data is updated in both systems, without any long-term processes. The very construction of the geometric model  takes a long time, but in the future all graphical representations will be made automatically.  Originality.  Adding software already implemented mechanisms to increase the value of this product. The author considers the implementation of several systems gene tic  algorithm  will  give  a  more  detailed  picture  of  the  optimized  element.  Not  learning  something  new,  and  adding  new  capabilities developed  by  the  application,  this  product  will  no  longer  meet  the  requirement  to  address  kind  of  tasks  that  are  currently  easily solved.  And  thereby  the  application  will  not  be  necessary.  Practical  value.  The  article  describes  the  construction  of  a  model  to  optimize the design element of the third-party application to ANSYS system. The considered systems integration will help in the  future to implement a bunch of other software products, and thereby improving the design programs and learning more and more opportunities for optimization using a genetic algorithm.