Shape Design for Disc of a Double-Eccentric Butterfly Valve Using the Topology Optimization Technique

Abstract

In this paper, the shape design process is briefly discussed emphasizing the use of topology optimization in the conceptual design stage. The basic idea is to view feasible domains for sensitivity region concepts. In this method, the main process consists of two steps: as the design moves further inside the feasible domain using Taguchi method, and thus becoming more successful topology optimization, the sensitivity region becomes larger. In designing a double-eccentric butterfly valve, related to hydrodynamic performance and disc structure, are discussed where the use of topology optimization has proven to dramatically improve an existing design and significantly decrease the development time of a shape design. CFD analysis results demonstrate the validity of this approach.

Effect Analysis of Design Variables on the Disc in a Double-Eccentric Butterfly Valve

“…The valve is called the double-eccentric butterfly valve because of the following two offsets on the valve; the shaft of the disc is offset from the center line of the disc seat and body seal (offset one) and from the center line of the bore (offset two). Therefore, it has much less wear than the concentric butterfly valve and is excellent in the flow control [ 3 ]. In the present study, we attempt to perform a shape optimization of the disc installed in a double-eccentric butterfly valve using the effect analysis of design variables to enhance the valve performance.…”

“…Ding et al [ 1 ] optimized a sealing structure in a triple-eccentric butterfly valve, while Ejab and Samir [ 2 ] optimized a butterfly valve housing to reduce its weight. Since then, a variety of optimal design techniques have been applied to enhance the performance and stability of industrial valves [ 3 – 6 ]. In this context, the present study aims to select design variables needed to optimize an industrial double-eccentric butterfly valve, analyze the effect of the design variables on the valve performance, and then propose an optimal combination of the design variables to provide the best performance.…”