ACS Applied Computer Science

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Stress analysis obtained from CAE methods is one of the most important parameter of designing parts, assemblies and constructions. Loads and stress limits applied on the model should be known also for better design procedure. Evaluation of all parameters is known as optimization. Designed model should contain the optimum values of each parameters such as loads, stresses and weight. Designer creates the model using optimized values for better products. In this paper, Computer Aided Engineering Design Optimization process is studied experimentally with CATIA Product Engineering Optimizer module and optimization algorithms within limitations are used. Benefits of the optimization procedure is also evaluated. Optimization process and benefits are presented in an example of I profile cantilever beam with a length of 2000 mm.

  • APA 6th style
Irsel, G. (2016). Stress analysis and design optimization with CATIA. Applied Computer Science, 12(1), 27-39. 
  • Chicago style
Irsel, Gürkan. "Stress Analysis and Design Optimization with Catia." Applied Computer Science 12, no. 1 (2016): 27-39.
  • IEEE style
G. Irsel, "Stress analysis and design optimization with CATIA," Applied Computer Science, vol. 12, no. 1, pp. 27-39, 2016.
  • Vancouver style
Irsel G. Stress analysis and design optimization with CATIA. Applied Computer Science. 2016;12(1):27-39.