Multidisciplinary Design Optimization Method and Algorithm Based on iSIGHT

Wang, Cheng Long; Zeng, Qingliang; Han, Ru; Ren, Li

doi:10.4028/www.scientific.net/amr.284-286.962

Cited by 2 publications

(2 citation statements)

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“…Optimization parameters are categorized into two types based on the optimization algorithm: global optimization and local optimization. Local optimization parameters mainly consist of the number of iterations and algorithm types, while global optimization parameters include design objectives, constraints, scaling factors, input quantities, and other parameters [39]. Set design objectives and constraints for global optimization.…”

Section: Isight-software-based Optimization Processes and Techniquesmentioning

confidence: 99%

Design Optimization of Hydraulic Machinery Based on ISIGHT Software: A Review of Methods and Applications

Tian

Yang

Zhang

et al. 2023

Water

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Optimizing hydraulic machinery is a critical research area within the field of fluid mechanics, aiming to enhance product design efficiency and improve performance while reducing development time. The application of intelligent algorithms and combinatorial optimization strategies has become increasingly prevalent in this domain, providing a comprehensive understanding of optimization-related theoretical developments. Recently, the emergence of ISIGHT software as a new technology for software integration platforms has opened new avenues for optimization in hydraulic machinery. By leveraging intelligent algorithms and combinatorial optimization strategies, ISIGHT software provides a comprehensive framework for optimizing hydraulic machinery. This paper serves as an introduction to ISIGHT software, highlighting its advantages in addressing optimization problems. It presents a detailed examination of the process and technology involved in hydraulic machinery optimization based on ISIGHT software, along with its practical application. Furthermore, the paper summarizes the future development trends of ISIGHT software, offering engineers a theoretical foundation and reference for optimizing hydraulic machinery performance. Overall, this paper provides a valuable contribution to the field of hydraulic machinery optimization, showcasing the potential of ISIGHT software.

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Section: Isight-software-based Optimization Processes and Techniquesmentioning

confidence: 99%

Design Optimization of Hydraulic Machinery Based on ISIGHT Software: A Review of Methods and Applications

Tian

Yang

Zhang

et al. 2023

Water

View full text Add to dashboard Cite

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“…Fei Tian et al presented a detailed examination of the process and technology involved in hydraulic machinery optimization based on Isight 2021 software and its practical application [11]. In addition to the above-mentioned, Isight is widely used to optimize transplanting mechanisms, space landers, and bearings [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Optimized Design of Fixture Mechanism for Cotton Bundle Fiber

Jiang,

Wang,

Zhang

et al. 2023

Actuators

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The linkage mechanism of a cotton bundle fiber strength tester will have an unstable clamping force when clamping fiber bundle samples with uneven thickness, resulting in slippage or damage to the fibers increasing the pectin residue, leading to inaccurate test results and increased maintenance costs. To address this problem, according to the structural principle of the connecting rod-clamping mechanism, through the geometric relationship between the connecting rods to establish a parametric model of the mechanism and the use of the principle of virtual work on the mechanism to solve the force, the proposed new Dynamic Alternative Static Approximate Analysis Method (DASAAM) was based on Adams 2020. The Isight integrated Adams automatic optimization design framework was built. The variance of the change curve of the end force of the mechanism when clamping samples of different thicknesses was used as the evaluation function and the assembly conditions were used as the constraints. The dimensional parameters and angles of the mechanism were optimized using the multi-island genetic algorithm. The simulation results showed that when the thickness of the clamped sample varied in the range of 0–4 mm, the clamping force of the mechanism varied in the range of 8920–8630 N. Finally, the variance of the clamping force measured by the clamping force measurement component was 0.0367. The above results show that the DASAAM provided a new method for solving the static problem of mechanism morphological and position change, and the optimized linkage mechanism had better clamping force stability, which made the strength detection of cotton fiber more accurate, thus improving the quality of textile products.

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Multidisciplinary Design Optimization Method and Algorithm Based on iSIGHT

Cited by 2 publications

References 1 publication

Design Optimization of Hydraulic Machinery Based on ISIGHT Software: A Review of Methods and Applications

Design Optimization of Hydraulic Machinery Based on ISIGHT Software: A Review of Methods and Applications

Optimized Design of Fixture Mechanism for Cotton Bundle Fiber

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