Design and Optimization of a Novel Silicone Rubber Elastic Button based on BPNN Model
In this paper,based on modern Surface Mount Technology(SMT),a novel silicone rubber elastic button structure with built-in soldering pins for SMT applications is proposed,and the rationality of the proposed button structure is verified by the mechanical simulation.First,the effects of the elastic modulus of the matrix of button,the thickness of elastic oblique wall,the inclination angle of elastic oblique wall,and the stroke of the button on the pressing performance of the silicone rubber elastic button are studied,using an orthogonal experiment to analyze the influence significance of various factors on the tactility value.Second,the Back Propagation Neural Network(BPNN)model is employed for optimizing and selecting the structure parameters of the proposed SMT buttons.The result shows that the thickness of the elastic oblique wall has the most significant influence on the tactility value.Moreover,the BPNN model is useful for optimizing the proposed silicone rubber elastic buttons.Various designs for one tactility value of silicone rubber elastic buttons can be achieved through the application of BPNN model,which is of great significance for optimizing the product design and its process and significantly reducing the production cost.
Silicone rubber elastic button Surface Mount Technology (SMT) Optimize BPNN model
Siyu Wang Zhi Liang Zhangping Yang Miao Cai Daoguo Yang Jinyang Li
Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanism and Electrical Engineering,Guilin University of Electronic Technology Guilin,China
国际会议
上海
英文
795-800
2018-08-08（万方平台首次上网日期，不代表论文的发表时间）