Design and Analysis of Rigid and Compliant Mechanisms

• Main Authors: HUYNH, NGOC-THAI, 黃裕泰
• Other Authors: HUANG, SHYH-CHOUR
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/4u7727

博士 === 國立高雄科技大學 === 機械工程系 === 107 === This study concludes two primary objectives. The first objective was to investigate the effect of design parameters such as clearance size, material characteristic, friction in revolute clearance joints, driving speed, journal and bearing radius on the dynamic response of joints of rigid multibody mechanism. The second objective was to design a new type flexure hinge joint to improve the drawbacks of these traditional joints. First of all, a slider-crank mechanism (SCM) with two sliders and seven revolute clearance joints was designed. The behavior dynamic of this mechanism was obtained by using finite element method in ANSYS. Second, a bridge-type compliant mechanism and tensural displacement amplifier employing flexure hinge was designed. And then output displacement and output stress were achieved by FEM in static structural of ANSYS. The Taguchi method, Grey relational analysis, entropy measurement technique, regression equation and artificial neural network were applied to optimize three mechanisms and determine optimal combination parameters. The simulation and optimization results demonstrated that these design parameters have significantly affected on dynamic response of a slider-crank mechanism. The optimal results of acceleration and contact force are 186.45 (m/s2) and 106.854 (N) respectively, with a 3.92% error for acceleration and 9.99% for contact force. The simulation, optimization and experiment results are good agreed with design parameters of a bridge-type compliant mechanism flexure hinge have significantly influenced on displacement and stress. The optimal displacement amplification ratio obtained was 71.2, 71.05, and 79.21 by the Taguchi method, regression equation and artificial neural network, respectively. The optimal stress results obtained were 73.44 MPa, 76.116 MPa and 73.362 MPa by the Taguchi method, regression equation and artificial neural network, respectively. The deviation error between experiment and simulation, Taguchi method, regression equation, artificial neural network is 4.895%, 12.64%, 3.94%, 13.83%, respectively. The FEM and optimization results are line with each other with design parameters have significantly influenced on displacement and stress of a tensural displacement amplifier employing flexure hinge. The optimal displacement and stress results were obtained by Taguchi method, grey relational analysis are 0.6938 mm and 52.314 MPa, 0.6040 mm and 53.561 MPa, respectively. The optimal displacement amplification ratio was obtained 69.38 for TM and 60.4 for GRA.