Abstract
To obtain the competition advantages, the methodology of rapid design (RD) is applied widely in enterprises. Product oriented knowledge applied into product optimization based on design instances can avoid the repeated modeling and analyzing and result in improved design efficiency. Firstly, RD technology is overviewed. Secondly, general mathematical model of mechanical product rapid optimization is introduced. Thirdly, the process of GA-based rapid optimization combined with BP neural network is derived and the fitness determination of GA Optimization is discussed in detail. Fourthly, on the basis of the uniform trial, the displacement of the H-beam has been calculated. The result shows that the methods are feasible to calculate the fitness of GA with good precise. Finally, an example of H-beam is illustrated to apply GA and BP neural network into design optimization in detail. The research in this paper, however, is beneficial to the application of RD and optimization.DOI: http://dx.doi.org/10.5755/j01.mech.18.5.2700
Highlights
Modern product design is market and customer oriented design
Common optimization process is to model the designed product in finite element software and optimize its structure based on finite element analysis
This paper reports our research on genetic algorithm (GA)-based rapid optimization method
Summary
Modern product design is market and customer oriented design. The response speed to markets by enterprises is one of the important factors of enterprise competition. Common optimization process is to model the designed product in finite element software and optimize its structure based on finite element analysis. This paper reports our research on GA-based rapid optimization method. RD is a design method integrated with customer requirement, technology, product structure, product information, product development trend and so on. It is an active rapid response design from enterprises. It is to select, combine, vary and optimize the instance modules and design products customers require based on design rules, constraints, resources, structures, ontology and so on. It is to analyze product sensitivity of shape, structure and topology, and optimize design parameters
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call