2023
DOI: 10.1155/2023/2977092
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic and Static Multiobjective Topology Optimization for Gears of Directional Drill Transmission System

Abstract: Aiming at the multiobjective topology optimization design of the structure, this paper proposes a method to establish the comprehensive objective function based on the normalized subobjective of the compromise programming method and to determine the weight coefficient of the subobjective of the comprehensive objective function by the analytic hierarchy process (AHP). By using statistical analysis and modal analysis, the static and dynamic characteristics of the gear can be obtained. The single objective topolo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 29 publications
0
0
0
Order By: Relevance
“…During the design phase, a detailed analysis and iterative computations were conducted using ANSYS software to generate an optimal topology structure that satisfies the 0.003 mm displacement constraint. Topology optimization was carried out using the SIMP method [44,45]. Various generative design variables were employed in the experimental process, and the experiments were executed by controlling the mesh adjustment tools in ANSYS.…”
Section: Generative Designs Using the Results Of Nsga-iii Optimizationmentioning
confidence: 99%
“…During the design phase, a detailed analysis and iterative computations were conducted using ANSYS software to generate an optimal topology structure that satisfies the 0.003 mm displacement constraint. Topology optimization was carried out using the SIMP method [44,45]. Various generative design variables were employed in the experimental process, and the experiments were executed by controlling the mesh adjustment tools in ANSYS.…”
Section: Generative Designs Using the Results Of Nsga-iii Optimizationmentioning
confidence: 99%