Results 41 to 50 of about 57,676 (265)

Fatigue Life and Lightweight Design of Demolition Robot Rotary Joint Based on Topology Optimization

open access: yesMachines
As a critical component of demolition robots, the rotary joint supports the entire manipulator arm and operates under severe loading conditions, rendering it highly susceptible to fatigue failure.
Chentao Yao   +8 more
doaj   +1 more source

Evolutionary approach for spatial architecture layout design enhanced by an agent-based topology finding system

open access: yesFrontiers of Architectural Research, 2017
This paper presents a method for the automatic generation of a spatial architectural layout from a user-specified architectural program. The proposed approach binds a multi-agent topology finding system and an evolutionary optimization process.
Zifeng Guo, Biao Li
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

TOPOLOGY OPTIMIZATION METHOD BASED ON SIMP-MMC FOR STRUCTURE SIZE PRECISE CONTROL

open access: yesJixie qiangdu, 2022
With the development of structural topology optimization methods, some scholars had proposed strategies to integrate existing topology optimization methods to improve the manufacturability of topology optimization result.
ZHANG JunFeng, LIAO JingYu, LIU EnHai
doaj  

Improved Efficient Projection Density Function Based on Topology Optimization

open access: yesJournal of Mathematics, 2021
Topology optimization is a powerful tool having capability of generating new solution to engineering design problems, while these designs enhance manufacturability and reduce manufacturing costs in a computational setting.
Nouman Saeed   +4 more
doaj   +1 more source

Topology optimization of turbulent flows [PDF]

open access: yesComputer Methods in Applied Mechanics and Engineering, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cetin B. Dilgen   +4 more
openaire   +4 more sources

TOPOLOGICAL OPTIMIZATION OF THE ROCKER ARM

open access: yesMM Science Journal, 2023
The focus of this paper is to compare the results of topological optimization (TO) of the rocker arm for following 3D printing out of AISI 316L stainless steel by the Selective Laser Melting (SLM) method. We used the Altair Inspire software to optimize the shape of the rocker arm.
Posmyková, Eliška   +2 more
openaire   +2 more sources

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev   +2 more
wiley   +1 more source

Topology optimization analysis of VLCC transverse web based on UNet deep learning

open access: yesZhongguo Jianchuan Yanjiu
ObjectiveThis paper proposes a hull transverse web topology optimization method based on UNet for application in the optimization design of complex ship structures.
Zhenrong LI, Lijuan XIA, Shuo FENG
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

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