Topology-based geometry optimization for a new compliant mechanism using improved adaptive neuro-fuzzy inference system and neural network algorithm

Dinh, Van Bang; Chau, Ngoc Le; Le, Nam T. P.; Dao, Thanh-Phong

doi:10.1007/s00366-021-01552-y

Cited by 7 publications

(5 citation statements)

References 53 publications

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“…The achieved frequency from the present method and two DE and NNA were almost similar, as given in Table 5. In comparison with other optimization methods, the proposed method was compared with the differential evolutionary algorithm (DE) [35] and neural network algorithm (NNA) [36]. The achieved frequency from the present method and two DE and NNA were almost similar, as given in Table 5.…”

Section: Fea Validation and Comparisonmentioning

confidence: 79%

Optimal Design and Analysis for a New 1-DOF Compliant Stage Based on Additive Manufacturing Method for Testing Medical Specimens

Dang

Le²,

Tran³

et al. 2022

Symmetry

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In situ nanoindentation is extensively employed for online observing deformation and mechanical behaviors of bio-materials. However, the existing designs of the positioning stages have limited performances for testing soft or hard biomaterials. Consequently, this paper proposes a new structural design of a compliant one degree of freedom (01-DOF) stage with faster response. In addition to a new design, this article applies an analytical method to estimate the kinematic and dynamic behaviors of the stage. Firstly, the 01-DOF stage is designed with two modules, including a displacement amplifier with six levers and a symmetric parallelogram mechanism. Secondly, a kinetostatic diagram of the stage is built by pseudo-rigid-body method. Then, the dynamic equation of the proposed stage is formulated using the Lagrange method. In order to speed up the response of the indentation system, the structural optimization of the stage is conducted via the Firefly algorithm. The results showed that the theoretical first-order resonant frequency is found at about 226.8458 Hz. The theoretical consequences are nearby to the verified simulation. Besides, this achieved frequency of the presented stage is greater than that of previous stages. In an upcoming study, the prototype will be fabricated by additive manufacturing method or a computerized wire cutting method in order to verify the analytical results with experimental results.

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Section: Fea Validation and Comparisonmentioning

confidence: 79%

Optimal Design and Analysis for a New 1-DOF Compliant Stage Based on Additive Manufacturing Method for Testing Medical Specimens

Dang

Le²,

Tran³

et al. 2022

Symmetry

Self Cite

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show abstract

“…This process is computationally demanding and one way to approach it is through sequential optimization, since it allows for finding optimal solutions in the different application stages. The constraints of the target functions for optimization must be precise and well defined, because the performance of the final optimal design depends on them [18]. Neglecting them can produce economically optimal but structurally unacceptable designs or vice versa [19].…”

Section: Discussionmentioning

confidence: 99%

“…Although the objective pursued by this methodology is the same as in most of the revised design methodologies, most of the latter prioritize a single point of view when generating the designs, which means that the proposed solutions only satisfy the point of view under which they were created ( [18,19,21,30,[41][42][43]). In this sense, the difference between the methodology proposed in this work and the others is that the first integrates and responds to the needs of the three design points of view (client, designer and community).…”

Section: Discussionmentioning

confidence: 99%

Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons

Sosa Méndez,

García Cena,

Bedolla-Martínez

et al. 2024

Sensors

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The present work proposes a comprehensive metaheuristic methodology for the development of a medical robot for the upper limb rehabilitation, which includes the topological optimization of the device, kinematic models (5 DOF), human–robot interface, control and experimental tests. This methodology applies two cutting-edge triads: (1) the three points of view in engineering design (client, designer and community) and (2) the triad formed by three pillars of Industry 4.0 (autonomous machines and systems, additive manufacturing and simulation of virtual environments). By applying the proposed procedure, a robotic mechanism was obtained with a reduction of more than 40% of its initial weight and a human–robot interface with three modes of operation and a biomechanically viable kinematic model for humans. The digital twin instance and its evaluation through therapeutic routines with and without disturbances was assessed; the average RMSEs obtained were 0.08 rad and 0.11 rad, respectively. The proposed methodology is applicable to any medical robot, providing a versatile and effective solution for optimizing the design and development of healthcare devices. It adopts an innovative and scalable approach to enhance their processes.

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“…Saxena and Ananthasuresh adopted path-generating mechanisms as guiding principles [20], and Nishiwaki et al introduced a homogenization-based optimization tailored for enhanced flexibility [21]. These methodologies typically employ multi-objective functions to quantify flexibility, demonstrated through numerous numerical examples [22].…”

Section: Introductionmentioning

confidence: 99%

Laser-Activated Lightweight Porous Linear Actuation Micro Mechanisms through Multiscale Topology Optimization with Considering Radiation

Ali,

Shimoda

2024

Preprint

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This study applies multi-physics concurrent multiscale topology optimization to develop a lightweight porous linear actuation mechanism activated by laser energy. It meticulously explores thermal dissipation mechanisms, incorporating conduction, convection, and radiation dynamics. By examining various numerical cases, the study reveals a substantial 45% performance improvement in porous designs compared to solid actuators. The investigation extends to simultaneous optimization of multiscale porous displacement actuators, achieving a remarkable 75% weight reduction and demonstrating significant performance enhancements over single-scale designs. The increased freedom in micro-scale design allows more efficient material distribution, optimizing both macro and overall layouts. Sequential optimization of macro and micro-scale actuators is contrasted with concurrent multiscale optimization, showing inferior performance for separate optimizations. The study also delves into topology optimization under energy dissipation, focusing on multiple-rate thermal convection and revealing adaptive design behaviors in response to thermal stresses. Macro-scale designs influenced by convection exhibit perpendicular links and adaptive microstructures to enhance resilience and elasticity. The investigation also includes thermal radiation and convection, highlighting intricate design considerations for effective thermal dissipation. Ultimately, this study advances the understanding of multiscale effects in topology optimization, paving the way for more efficient and lightweight laser-activated porous actuators.

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Topology-based geometry optimization for a new compliant mechanism using improved adaptive neuro-fuzzy inference system and neural network algorithm

Cited by 7 publications

References 53 publications

Optimal Design and Analysis for a New 1-DOF Compliant Stage Based on Additive Manufacturing Method for Testing Medical Specimens

Optimal Design and Analysis for a New 1-DOF Compliant Stage Based on Additive Manufacturing Method for Testing Medical Specimens

Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons

Laser-Activated Lightweight Porous Linear Actuation Micro Mechanisms through Multiscale Topology Optimization with Considering Radiation

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