Intelligent Computing in Optimal Design of Actuators

A special issue of Actuators (ISSN 2076-0825).

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 679

Special Issue Editor


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Guest Editor
Department of Computational Mechanics and Engineering, Silesian University of Technology, Gliwice, Poland
Interests: multi-criteria optimization; metaheuristic optimization methods; numerical modeling of coupled problems; application of CAE systems in identification and optimization tasks
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Special Issue Information

Dear Colleagues,

The process of actuator design has to incorporate many technical aspects and restrictions. For such systems, the necessity of taking into consideration interactions between different physical fields is indispensable. Accordingly, the optimal design of actuators requires the consideration of many criteria, which depend on quantities such as actuation force, generated displacement, heat or electrical losses, stress concentration, dynamic characteristics, durability, costs, etc. Such criteria depend strongly on the geometry of the actuator and its working conditions. This leads to the need to solve different optimization tasks, such as: shape optimization, topology optimization, boundary condition optimization, etc. In many cases, efficient multiobjective optimization methods are required. Classical optimization methods, although very popular and useful in many cases, may not be sufficient, and so artificial intelligence methods should be involved. The abovementioned aspects of optimal design can be applied to all types of actuators: electro-thermal, electrostatic, piezoelectric, magnetoelastic, shape memory alloys, etc.

This Special Issue will be devoted to topics related to the shape, topology, and boundary conditions optimization (single and multiobjective) of actuators by means of artificial intelligence methods such as: artificial neural networks, genetic and evolutionary algorithms, artificial immune systems, hybrid and memetic optimization methods, particle swarm optimizers, and other metaheuristics.

Dr. Adam Długosz
Guest Editor

Manuscript Submission Information

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Keywords

  • optimal design
  • multiobjective optimization
  • multidisciplinary optimization
  • shape optimization
  • topology optimization
  • metaheuristic algorithms

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Published Papers

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