Aco topology optimization: The pheromone control for considering the mechanical Kansei

Nanami Hoshi, Hiroshi Hasegawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a structural concept design, to create topology as solution principle from functional requirement is greatly dependent on the accumulated engineering knowledge, experience and know-how. These engineering senses are called as The Mechanical Kansei. Ant Colony Topology Optimization (ACTO) was applied major principal stress in topology optimization. ACTO considered major principal stress and Von Mises stress using by pheromone control and can apply the accumulated engineering knowledge. However, A part of experience and know-how which are had designer can consider, because experience and know-how is different each designer. Therefore, ACTO is not perfect for the Mechanical Kansei. In this study, we confirm that ACTO is possible to consider individual differences in the Mechanical Kansei each of the designers using by pheromone control. In addition, we improve and change the method to consider individual differences in the Mechanical Kansei.

Original languageEnglish
Title of host publication17th International Conference on Modeling and Applied Simulation, MAS 2018
EditorsFrancesco Longo, Agostino G. Bruzzone, Fabio De Felice, Marina Massei, Francesco Longo, Adriano Solis, Claudia Frydman, Marina Massei
PublisherDime University of Genoa
Pages168-172
Number of pages5
ISBN (Electronic)9788885741096
Publication statusPublished - 2018 Jan 1
Event17th International Conference on Modeling and Applied Simulation, MAS 2018 - Budapest, Hungary
Duration: 2018 Sep 172018 Sep 19

Other

Other17th International Conference on Modeling and Applied Simulation, MAS 2018
CountryHungary
CityBudapest
Period18/9/1718/9/19

Fingerprint

Shape optimization
Ant colony optimization
Knowledge engineering
Topology

Keywords

  • Ant Colony Optimization
  • Mechanical Kansei
  • Principal stress
  • Topology Optimization

ASJC Scopus subject areas

  • Modelling and Simulation

Cite this

Hoshi, N., & Hasegawa, H. (2018). Aco topology optimization: The pheromone control for considering the mechanical Kansei. In F. Longo, A. G. Bruzzone, F. De Felice, M. Massei, F. Longo, A. Solis, C. Frydman, ... M. Massei (Eds.), 17th International Conference on Modeling and Applied Simulation, MAS 2018 (pp. 168-172). Dime University of Genoa.

Aco topology optimization : The pheromone control for considering the mechanical Kansei. / Hoshi, Nanami; Hasegawa, Hiroshi.

17th International Conference on Modeling and Applied Simulation, MAS 2018. ed. / Francesco Longo; Agostino G. Bruzzone; Fabio De Felice; Marina Massei; Francesco Longo; Adriano Solis; Claudia Frydman; Marina Massei. Dime University of Genoa, 2018. p. 168-172.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hoshi, N & Hasegawa, H 2018, Aco topology optimization: The pheromone control for considering the mechanical Kansei. in F Longo, AG Bruzzone, F De Felice, M Massei, F Longo, A Solis, C Frydman & M Massei (eds), 17th International Conference on Modeling and Applied Simulation, MAS 2018. Dime University of Genoa, pp. 168-172, 17th International Conference on Modeling and Applied Simulation, MAS 2018, Budapest, Hungary, 18/9/17.
Hoshi N, Hasegawa H. Aco topology optimization: The pheromone control for considering the mechanical Kansei. In Longo F, Bruzzone AG, De Felice F, Massei M, Longo F, Solis A, Frydman C, Massei M, editors, 17th International Conference on Modeling and Applied Simulation, MAS 2018. Dime University of Genoa. 2018. p. 168-172
Hoshi, Nanami ; Hasegawa, Hiroshi. / Aco topology optimization : The pheromone control for considering the mechanical Kansei. 17th International Conference on Modeling and Applied Simulation, MAS 2018. editor / Francesco Longo ; Agostino G. Bruzzone ; Fabio De Felice ; Marina Massei ; Francesco Longo ; Adriano Solis ; Claudia Frydman ; Marina Massei. Dime University of Genoa, 2018. pp. 168-172
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