Design of the intake system for reducing the noise in the automobile using support vector regression

• Published in: Journal of mechanical science and technology 2008, 22(6), , pp.1121-1131
• Main Authors: Sim, Hyoun-Jin, Park, Sang-Gil, Joe, Yong-Goo, Oh, Jae-Eung
• Format: Article
• Language: English
• Subjects: Acoustics; Applied sciences; Control; Design engineering; Dynamical Systems; Engineering; Engines and turbines; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Industrial and Production Engineering; Intake systems; Internal combustion engines: gazoline engine, diesel engines, etc; Mathematical analysis; Mechanical Engineering; Mechanical engineering. Machine design; Noise; Noise: its effects and control; Optimization; Orthogonal arrays; Physics; Regression; Studies; Vectors (mathematics); Vibration; 기계공학
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-008-0306-z

This paper proposes an optimal design scheme to reduce the noise of the intake system by using support vector regression techniques. For this, as a measuring tool for the performance of the intake system, the performance prediction software was used. Then, the length and radius of each component of the current intake system were selected as input variables and the L 18 table of orthogonal arrays was adapted as a space-filling design. The simulation of parameter design utilized an orthogonal array design, L 18 (2 1 × 3 7 ). In order to evaluate the above design and levels, the experiments satisfying the condition were done. With these simulated data, we can estimate parameters in support vector regression by solving a nonlinear problem and finding an optimal level for the intake system by using support vector regression. This optimal design scheme gives noticeable results and is a preferable way to analyze the intake system. Therefore, an optimal design for the intake system is proposed by reducing the noise of its system.