scholarly journals Structural Optimization Considering Flexibility. (Integrated Design Method for Compliant Mechanisms).

1998 ◽  
Vol 41 (3) ◽  
pp. 476-484 ◽  
Author(s):  
Shinji NISHIWAKI ◽  
MIN Seungjae ◽  
Susumu EJIMA ◽  
Noboru KIKUCHI
2018 ◽  
Vol 88 ◽  
pp. 73-85 ◽  
Author(s):  
Motohiro Ohno ◽  
Victor C. Li

2018 ◽  
Vol 13 (1) ◽  
pp. 157-184
Author(s):  
Anne Loes Nillesen

INTRODUCTION The Netherlands faces a significant flood risk task. In order to remain a safe place to live the Netherlands has to upgrade its extensive flood risk protection system. This results in an elevation and reinforcement task for many of the Netherlands water barriers. When those barriers are positioned in an open landscape, the technical reinforcement is often easy to embed specially. However, many barriers have been built over the years making the reinforcement into a challenging spatial assignment. This article shows different case study examples of a research by design study (performed in the broader context of the Dutch Delta programme) that explores integral design solutions for flood risk and spatial (re)development. The Houston Galveston Bay case study demonstrates the international applicability of the research by design method.


Author(s):  
Lin Cao ◽  
Wenjun (Chris) Zhang

This paper presents an integrated design approach, a new topology optimization technique, to simultaneously synthesizing the optimal structural topologies of compliant mechanisms (CMs) and actuator placement — bending actuators and rotary actuators — for motion generation. The approach has the following salient features: (1) the use of bending actuators and rotary actuators as the actuation of CMs, (2) the simultaneous optimization of the CM and the location and orientation of the actuator that is embedded in the CM, (3) the guiding of a flexible link from an initial configuration to a series of desired configurations (including precision positions, orientations, and shapes), and (4) a new connectivity checking scheme to check whether the regions of interest in a design candidate are well connected. A program was employed for the geometrically nonlinear finite element analysis of large-displacement CMs driven by either bending actuators or rotary actuators. Two design examples were presented to demonstrate the proposed approach. The design results were 3D printed, and they all achieved desired shape changes when actuated.


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jinghua Li ◽  
Hui Guo ◽  
Shichao Zhang ◽  
Xiaoyuan Wu ◽  
Liuling Shi

The engine room is the heart of a ship, and almost all of the main electromechanical equipment that supports the work on board can be found here. Finding a way to arrange the equipment in a small cabin space is an essential factor in the design and construction of a ship. However, in existing research, when an intelligent algorithm is used to optimize the design of a cabin, the established mathematical model is not comprehensive and the solution has not been evaluated. The optimal solution obtained is not feasible for the actual design of a ship. This can lead to unnecessary redesign work, which seriously affects design efficiency and increases design costs. In order to solve the above problems, this paper innovatively refers to a Systematic Layout Planning (SLP) method (normally applied to the layout of plant equipment) to the cabin equipment layout issue. The SLP method is used to quantitatively analyze the adjacency and logistics relationship between devices, and the mutual integration relationship between devices is obtained so that a preliminary layout scheme can be retrieved. The problem model is constructed by considering various factors such as the comprehensive relationship between the equipment and the stability of the cabin, and the corresponding objective function and constraint function are established to further design the variables, operators, and steps of the genetic algorithm. The initial solution obtained from the SLP method is used as part of an initial solution to the genetic algorithm, and the genetic algorithm is used to optimize the problem. Finally, the Analytic Hierarchy Process (AHP) is used to evaluate and optimize several groups of better schemes obtained by running multiple genetic algorithms and select the better schemes. The experimental design proves that the integrated design method has certain feasibility and superiority.


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