Abstract
Camera positioning system is a critical member of a nanoindentation tester characterizing the mechanical properties such as hardness, creep, surface roughness, or elastic modulus of a material sample. This paper presents a design optimization for a dragonfly-inspired compliant joint. This joint is used to drive the camera positioning system. A new hybrid approach of Taguchi method, adaptive neuro-fuzzy inference system (ANFIS), and Jaya algorithm is developed to solve the multi-objective optimization problem. The Taguchi method is used to build the numerical data and to find the best membership functions for the ANFIS structure by minimizing the root mean squared error. Then, the weight factor of each objective function is determined by established equations well. Subsequently, a structure of ANFIS is developed to map the design parameters and responses. Sensitivity analysis of each controllable parameter is analyzed by the statistical method. Finally, Jaya algorithm is initialized to find the optimal solution. The results found that the optimal displacement, frequency, and stress are about 12581.11 μm, 67.76 Hz, and 333.68 MPa, respectively. The proposed hybrid optimization algorithm is a robust and effective optimizer and considered as soft computing technique for engineering optimization problems.
Highlights
In the recent decades, the nanoindentation tester has been widely used in areas of academic and industrial investigations
The new contribution of this study is to develop a new hybrid optimization approach of Taguchi method, adaptive neuro-fuzzy inference system (ANFIS), and Jaya
The goal of this paper is to propose an effective optimization algorithm for the dragonfly compliant joint
Summary
The nanoindentation tester has been widely used in areas of academic and industrial investigations. The practitioners and researchers used this technique to probe the mechanical properties of hard and soft materials such as hardness, creep, elastic-plastic modulus, roughness surface, etc. The camera is used to record the image of material sample before and after indenting test. The camera often requires a high positioning precision and a stability to figure out the curve of displacement versus load. The current instruments are effective but so costly. The reasons are that the screw and servomotors are commonly used to ensure the characterization precision. A force and displacement sensor are separately utilized to record the load and indentation depth
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