“…This algorithm is repeated to breed next generation. Finally, the population will move to the condition corresponding to the lowest value coercively (Liu, Liu, Ruan, & Qiu, 2007).…”
“…This algorithm is repeated to breed next generation. Finally, the population will move to the condition corresponding to the lowest value coercively (Liu, Liu, Ruan, & Qiu, 2007).…”
“…Liu et al built up an automated optimization integration system of the sheet metal forming process parameters based on the multi- disciplinary design optimization platform-isight. The system is not involved in CAD modeling [19]. Kenworthy et al presented a method to perform optimization iterations on CAD models utilizing CAD external analysis tools.…”
Section: Middleware Development Approachmentioning
“…In the traditional design process, designers adjust the parameter manually to gain the best solutions. 23 However, this method is extremely time demanding and it is prone to errors as the number of variables increases. 24 The optimization module (shown in Figure 10) provided by the HGD system supports the process taking the constraints from different sources into account and achieving the global optimal, which could aid the designer in determining the feasibility of the original design or in further optimization and redesign strategies.…”
Section: Calculation and Optimization Modulementioning
Hydraulic generator design companies are always being exhorted to become more competitive by reducing the lead time and costs for their products for survival. Knowledge-based engineering technology is a rapidly developing technology with competitive advantage for design application to reduce time and cost in product development. This article addresses the structure of the hydraulic generator design system based on the knowledge-based engineering technology in detail. The system operates by creating a unified knowledge base to store the scattered knowledge among the whole life of the design process, which was contained in the expert's brain and technical literature. It helps designers to make appropriate decisions by supplying necessary information at the right time through query and inference engine to represent the knowledge within the knowledge-based engineering application framework. It also integrates the analysis tools into one platform to help achieve global optimum solutions. Finally, an example of turbine-type selection was given to illustrate the operation process and prove its validity.
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