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


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Article Info

DATE

2021-12-02

AUTHORS

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

ABSTRACT

In precision engineering, compliant mechanisms are growingly promising mechanisms in designing micro/nano positioners and manipulators due to emerging advantages of free friction, no joint, and decreased assembly. Nevertheless, compliant mechanisms have flexible configurations with nonlinear behaviors, the design, analysis, and optimization are becoming challenges, and a systematic design method is still limited. Therefore, this paper proposes a new multi-phases optimization design method for compliant mechanisms. In the suggested method, the topology optimization is integrated with finite element method, intelligent modeling, and neural network algorithm. First, the solid isotropic material with penalization-based topology is used to design a new compliant mechanism. The numerical simulations are conducted. Next, the parameters of adaptive neuro-fuzzy inference system are optimized by the Taguchi to achieve an improved ANFIS (IANFIS) model. The IANFIS approaches are used to predict behaviors of the developed mechanism. The results confirmed that the developed IANFIS has a highly accurate prediction in comparison with other regression models. Particularly, the metric values of IANFIS models are relatively good. Particularly, the R2 value is approximately 1 while the MSE, RMSE, and SD values are approximately 0. Last, the neural network algorithm is extended to search the optimal geometry sizes for the compliant mechanism. In the size optimization, two scenarios for are taken into consideration. For the scenario 1, the displacement, rotation angle, parasitic, and stress of the mechanism are found about 1.9977 mm, 0.8232 degrees, 0.1666 mm, and 13.94 MPa, respectively. For the scenario 2, the displacement, rotation angle, the parasitic, and stress are approximately 1.8501 mm, 0.8237 degrees, 0.1429 mm, and 11.8193 MPa, respectively. The results of size optimization showed that the displacement of the mechanism is enhanced by 12.94% and the rotation angle is improved to 4.5E+11% in comparison to the initial topology. The statistic results of Friedman and Kruskal–Wallis found that the accuracy and efficiency of proposed method are superior to those of other methods with p-values less than 0.001. The proposed method is applicable to other industrial systems. More... »

PAGES

1-30

References to SciGraph publications

  • 2017-10-03. Topology Synthesis and Optimal Design of an Adaptive Compliant Gripper to Maximize Output Displacement in JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
  • 2018-11-26. Design and Optimization of a New Compliant Rotary Positioning Stage with Constant Output Torque in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
  • 2019-07-16. Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting in ENGINEERING WITH COMPUTERS
  • 2018-01-03. Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey in ARTIFICIAL INTELLIGENCE REVIEW
  • 2015-09-26. Differential evolution dynamics analysis by complex networks in SOFT COMPUTING
  • 2016-03-22. Optimization of 5.5-GHz CMOS LNA parameters using firefly algorithm in NEURAL COMPUTING AND APPLICATIONS
  • 2018-07-27. Optimal Design of a Compliant Microgripper for Assemble System of Cell Phone Vibration Motor Using a Hybrid Approach of ANFIS and Jaya in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • 2016-06-08. Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia in NEURAL COMPUTING AND APPLICATIONS
  • 2019-06-29. A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick–mortar masonry by fusing nondestructive testing data in ENGINEERING WITH COMPUTERS
  • 2019-08-21. A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets in ENGINEERING WITH COMPUTERS
  • 2020-02-13. Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS in ENGINEERING WITH COMPUTERS
  • 2019-09-29. A multi-objective optimization design for a new linear compliant mechanism in OPTIMIZATION AND ENGINEERING
  • 2019-08-19. Multi-objective optimization of stainless steel 304 tube laser forming process using GA in ENGINEERING WITH COMPUTERS
  • 2021-01-07. Topology optimization of compliant mechanisms and structures subjected to design-dependent pressure loadings in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
  • 2020-02-10. An effective hybrid approach of desirability, fuzzy logic, ANFIS and LAPO algorithm for optimizing compliant mechanism in ENGINEERING WITH COMPUTERS
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