N
Ngoc Le Chau
Researcher at Ho Chi Minh City University of Technology
Publications - 47
Citations - 426
Ngoc Le Chau is an academic researcher from Ho Chi Minh City University of Technology. The author has contributed to research in topics: Taguchi methods & Compliant mechanism. The author has an hindex of 11, co-authored 39 publications receiving 272 citations.
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Robust parameter design for a compliant microgripper based on hybrid Taguchi-differential evolution algorithm
TL;DR: In this article, a hybridization of Taguchi method with differential evolution algorithm (HTDE) is integrated to optimize the displacement and frequency, simultaneously, for a compliant micro gripper.
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Multi-objective optimization design of a compliant microgripper based on hybrid teaching learning-based optimization algorithm
TL;DR: The proposed HTLBO can be applied to solve complicated engineering optimization problems and is faster than that of the adaptive elitist differential evolution, the particle swarm optimization, and the genetic algorithm.
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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
TL;DR: In this article, a combination of the Taguchi method, finite element analysis (FEA), the response surface method (RSM), and particle swarm optimization (PSO) algorithm is developed to solve the optimization problem of a compliant rotary joint.
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Optimal Design of a Compliant Microgripper for Assemble System of Cell Phone Vibration Motor Using a Hybrid Approach of ANFIS and Jaya
TL;DR: The results indicated that the optimal displacement and frequency of compliant microgripper were about 3260 $$\upmu $$μm and 61.9 Hz, respectively, which are satisfied with the actual requirements of assembly industry for cell phone vibration motor.
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Optimal Design of a Dragonfly-Inspired Compliant Joint for Camera Positioning System of Nanoindentation Tester Based on a Hybrid Integration of Jaya-ANFIS
TL;DR: The proposed hybrid optimization algorithm is a robust and effective optimizer and considered as soft computing technique for engineering optimization problems.