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A hybrid computational method for optimization design of bistable compliant mechanism

A hybrid computational method for optimization design of bistable compliant mechanism Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.Design/methodology/approachA tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.FindingsThe results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.Originality/valueThe novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Engineering Computations Emerald Publishing

A hybrid computational method for optimization design of bistable compliant mechanism

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0264-4401
DOI
10.1108/ec-03-2020-0150
Publisher site
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Abstract

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.Design/methodology/approachA tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.FindingsThe results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.Originality/valueThe novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

Journal

Engineering Computations – Emerald Publishing

Published: Jun 17, 2021

Keywords: Tensural bistable compliant mechanism; Statistics; FIS; ANFIS; Multi-objective optimization; LAPO

References

  • Applications of surrogate-assisted and multi-fidelity multi-objective optimization algorithms to simulation-based aerodynamic design
    Amrit, A.; Leifsson, L.
  • An element addition strategy for thermally actuated compliant mechanism topology optimization
    Ansola, R.; Vegueria, E.; Canales, J.
  • One step green synthesis of larvicidal, and azo dye degrading antibacterial nanoparticles by response surface methodology
    Arasu, M.V.; Arokiyaraj, S.; Viayaraghavan, P.; Kumar, T.S.J.; Duraipandiyan, V.; Al-Dhabi, N.A.; Kaviyarasu, K.
  • Multi-objective optimization of bending force preset in cold rolling
    Bu, H-N.; Zhou, H-G.; Yan, Z-W.; Zhang, D-H.
  • A multi-objective optimum design of general 3R manipulators for prescribed workspace limits
    Ceccarelli, M.; Lanni, C.
  • Efficient hybrid method of FEA-based RSM and PSO algorithm for multi-objective optimization design for a compliant rotary joint for upper limb assistive device
    Chau, N.L.; Le, H.G.; Dao, T-P.; Dang, M.P.; Dang, V.A.
  • A fully compliant tristable mechanism employing both tensural and compresural segments
    Chen, G.; Han, Q.; Jin, K.
  • A tensural displacement amplifier employing elliptic-arc flexure hinges
    Chen, G.; Ma, Y.; Li, J.
  • Fully compliant double tensural tristable micromechanisms (DTTM)
    Chen, G.; Wilcox, D.L.; Howell, L.L.
  • Search optimization opportunities of modified self-organizing migrating algorithm in multi-extremal tasks environment
    Chernogorov, I.; Polyakh, V.; Yarakhmedov, O.
  • Optimal design of a compliant mechanism with circular notch flexure hinges
    Choi, K.B.; Han, C.S.
  • Amplification ratio analysis of a bridge-type mechanical amplification mechanism based on a fully compliant model
    Choi, K-B.; Lee, J.J.; Kim, G.H.; Lim, H.J.; Kwon, S.G.
  • Desirability function approach: a review and performance evaluation in adverse conditions
    Costa, N.R.; Lourenço, J.; Pereira, Z.L.
  • Multiresponse optimization of a compliant guiding mechanism using hybrid Taguchi-Grey based fuzzy logic approach
    Dao, T.-P.
  • Design, fabrication, and predictive model of a 1-dof translational flexible bearing for high precision mechanism
    Dao, T.-P.; Huang, S.-C.
  • Design optimization and fatigue life predictive model for a flexible mechanism
    Dao, T.-P.; Huang, S.-C.
  • Compliant thin-walled joint based on zygoptera nonlinear geometry
    Dao, T.P.; Huang, S.C.
  • Design and multi-objective optimization for a broad self-amplified 2-DOF monolithic mechanism
    Dao, T.P.; Huang, S.C.
  • Robust parameter design for a compliant microgripper based on hybrid taguchi-differential evolution algorithm
    Dao, T.-P.; Huang, S.-C.; Le Chau, N.
  • Hybrid Taguchi-Cuckoo search algorithm for optimization of a compliant focus positioning platform
    Dao, T.-P.; Huang, S.-C.; Thang, P.T.
  • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    Derrac, J.; García, S.; Molina, D.; Herrera, F.
  • Simultaneous optimization of several response variables
    Derringer, G.; Suich, R.
  • A new metaheuristic optimization methodology based on fuzzy logic
    Díaz-Cortés, M.A.; Cuevas, E.; Gálvez, J.; Camarena, O.
  • Damage detection of 2D frame structures using incomplete measurements by optimization procedure and model reduction
    Dinh-Cong, D.; Pham-Duy, S.; Nguyen-Thoi, T.
  • A novel multi-objective optimization algorithm based on lightning attachment procedure optimization algorithm
    Foroughi Nematollahi, A.; Rahiminejad, A.; Vahidi, B.
  • Multi-objective optimization of the suspension system parameters of a full vehicle model
    Fossati, G.G.; Miguel, L.F.F.; Casas, W.J.P.
  • A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
    García, S.; Fernández, A.; Luengo, J.; Herrera, F.
  • A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization
    García, S.; Molina, D.; Lozano, M.; Herrera, F.
  • Deep learning for visual understanding: a review
    Guo, Y.; Liu, Y.; Oerlemans, A.; Lao, S.; Wu, S.; Lew, M.S.
  • A novel fully compliant tensural-compresural bistable mechanism
    Han, Q.; Jin, K.; Chen, G.; Shao, X.
  • A method for the design of compliant mechanisms with small-length flexural pivots
    Howell, L.L.; Midha, A.
  • Multi-objective optimal design of a 2-DOF flexure-based mechanism using hybrid approach of Grey-Taguchi coupled response surface methodology and entropy measurement
    Huang, S.C.; Dao, T.P.
  • A novel PGSA–PSO hybrid algorithm for structural optimization
    Jiang, Z.; Lin, Q.; Shi, K.; Pan, W.
  • Analytical target cascading using ensemble of surrogates for engineering design problems
    Jiang, Z.; Qiu, H.; Zhao, M.; Zhang, S.; Gao, L.
  • Optimization of laser welding process parameters of stainless steel 316L using FEM, kriging and NSGA-II
    Jiang, P.; Wang, C.; Zhou, Q.; Shao, X.; Shu, L.; Li, X.
  • A new topology optimization method for planar compliant parallel mechanisms
    Jin, M.; Zhang, X.
  • Multi-objective optimization of stainless steel 304 tube laser forming process using GA
    Keshtiara, M.; Golabi, S.; Tarkesh Esfahani, R.
  • Compliant bistable mechanism for low frequency vibration energy harvester inspired by auditory hair bundle structures
    Kim, G.W.; Kim, J.
  • Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
    Koopialipoor, M.; Fahimifar, A.; Ghaleini, E.N.; Momenzadeh, M.; Armaghani, D.J.
  • Kinematic analysis of a translational 3-d.o.f. micro-parallel mechanism using the matrix method
    Koseki, Y.; Tanikawa, T.; Koyachi, N.; Arai, T.
  • An efficient hybrid approach of improved adaptive neural fuzzy inference system and teaching learning-based optimization for design optimization of a jet pump-based thermoacoustic-stirling heat engine
    Le Chau, N.; Dao, T.P.; Dang, V.A.
  • A novel real-coded population-based extremal optimization algorithm with polynomial mutation: a non-parametric statistical study on continuous optimization problems
    Li, L.-M.; Lu, K.-D.; Zeng, G.-Q.; Wu, L.; Chen, M.-R.
  • Theoretical modeling of attenuated displacement amplification for multistage compliant mechanism and its application
    Ling, M.; Cao, J.; Jiang, Z.; Lin, J.
  • A semi-analytical modeling method for the static and dynamic analysis of complex compliant mechanism
    Ling, M.; Cao, J.; Jiang, Z.; Lin, J.
  • Development of a multistage compliant mechanism with new boundary constraint
    Ling, M.; Cao, J.; Jiang, Z.; Li, Q.
  • Dynamic stiffness matrix for free vibration analysis of flexure hinges based on non-uniform timoshenko beam
    Ling, M.; Chen, S.; Li, Q.; Tian, G.
  • Design and analysis of a high-accuracy flexure hinge
    Liu, M.; Zhang, X.; Fatikow, S.
  • Compliant mechanisms: design of flexure hinges, compliant mechanisms: design of flexure hinges
    Lobontiu, N.
  • Straight-axis folded flexure hinges: in-Plane elastic response
    Lobontiu, N.; Wight-Crask, J.; Kawagley, C.
  • Compliant mechanism design using multi-objective topology optimization scheme of continuum structures
    Luo, Z.; Chen, L.; Yang, J.; Zhang, Y.; Abdel-Malek, K.
  • Multi-criteria analysis and prediction of network incidents using monitoring system
    Macura, L.; Voznak, M.
  • Optimization of ANFIS with GA and PSO estimating α ratio in driven piles
    Moayedi, H.; Raftari, M.; Sharifi, A.; Jusoh, W.A.W.; Rashid, A.S.A.
  • A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization
    Nematollahi, A.F.; Rahiminejad, A.; Vahidi, B.
  • Hybrid SCA–TLBO: a novel optimization algorithm for global optimization and visual tracking
    Nenavath, H.; Jatoth, R.K.
  • Synthesis of multistable equilibrium compliant mechanisms using combinations of bistable mechanisms
    Oh, Y.S.; Kota, S.
  • Parameter optimization of machining processes using teaching-learning-based optimization algorithm
    Pawar, P.J.; Rao, R.V.
  • Design of bistable compliant mechanisms using precision-position and rigid-body replacement methods
    Pucheta, M.A.; Cardona, A.
  • Teaching learning based optimization algorithm
    Rao, R.V.
  • An adaptive multi-team perturbation-guiding jaya algorithm for optimization and its applications
    Rao, R.V.; Keesari, H.S.; Oclon, P.; Taler, J.
  • Optimization of modern machining processes using advanced optimization techniques: a review
    Rao, R.V.; Kalyankar, V.D.
  • An elitism-based self-adaptive multi-population jaya algorithm and its applications
    Rao, R.V.; Saroj, A.
  • Use of adaptive neuro-fuzzy inference system and gene expression programming methods for estimation of the bearing capacity of rock foundations
    Sadrossadat, E.; Ghorbani, B.; Oskooei, R.; Kaboutari, M.
  • Chaos-based Optimization – a review
    Senkerik, R.; Zelinka, I.; Pluhacek, M.
  • Design and assessment of monolithic high precision translation mechanisms
    Smith, S.T.; Chetwynd, D.G.; Bowen, D.K.
  • Multi-objective optimization in face milling process with cryogenic cooling using grey fuzzy analysis and BPNN-GA methods
    Soepangkat, B.O.P.; Norcahyo, R.; Pramujati, B.; Wahid, M.A.
  • Application of an evolutionary technique (PSO–SVM) and ANFIS in clear-water scour depth prediction around bridge piers
    Sreedhara, B.M.; Rao, M.; Mandal, S.
  • A new butterfly-inspired compliant joint with 3-DOF in-plane motion
    Thoai, N.; Ngoc, T.; Chau, L.
  • A new butterfly-inspired compliant joint with 3-DOF in-plane motion
    Tran, N.T.; Le Chau, N.; Dao, T.P.
  • Design optimization of a twist compliant mechanism with nonlinear stiffness
    Tummala, Y.; Frecker, M.; Wissa, A.; Hubbard, J.E.
  • Review of applications of tlbo algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
    Venkata Rao, R.
  • Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm
    Venkata Rao, R.; Kalyankar, V.D.
  • Feasibility of a novel predictive technique based on artificial neural network optimized with particle swarm optimization estimating pullout bearing capacity of helical piles
    Wang, B.; Moayedi, H.; Nguyen, H.; Foong, L.K.; Rashid, A.S.A.
  • Optimization of a 2-DOF micro-positioning stage using corrugated flexure units
    Wang, N.; Zhang, Z.; Zhang, X.; Cui, C.
  • Fully compliant tensural bistable micromechanisms (FTBM)
    Wilcox, D.L.; Howell, L.L.
  • Two fault detection and isolation schemes for robot manipulators using soft computing techniques
    Yüksel, T.; Sezgin, A.
  • Malware detection based on multiple PE headers identification and optimization for specific types of files
    Zatloukal, F.; Znoj, J.
  • An enhanced lightning attachment procedure optimization with quasi-opposition-based learning and dimensional search strategies
    Zheng, T.; Luo, W.
  • Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting
    Zhou, J.; Li, C.; Arslan, C.A.; Hasanipanah, M.; Amnieh, H.B.
  • A novel hybrid actuation mechanism based XY nanopositioning stage with totally decoupled kinematics
    Zhu, W-L.; Zhu, Z.; Guo, P.; Ju, B-F.
  • Topology optimization of hinge-free compliant mechanisms with multiple outputs using level set method
    Zhu, B.; Zhang, X.; Wang, N.