This paper describes a design automation approach that combines various optimization research and artificial intelligence methods for synthesizing fluid networks. Unlike traditional software tools available today, this approach does not rely on having any predefined network topology to design and optimize its networks. PipeSynth generates its designs by using only desired port locations, and the desired fluid properties at each of those ports. An ideal network is found by optimizing the number and connectivity of pipes and pipe fittings, the size and length of each pipe, and the size and orientation of each fitting. A Uniform-Cost-Search is used for topology optimization along with a combination of non-gradient based optimization methods for parametric optimization. PipeSynth demonstrates how advances in automated design can enable engineers to manage much more complex fluid network problems. PipeSynth uses a unique representation of fluid networks that synthesizes and optimizes networks one pipe at a time, in three-dimensional space. PipeSynth has successfully solved several problems containing multiple interlaced networks concurrently with multiple inputs and outputs. PipeSynth shows the power of automated design and optimization in producing solutions more effectively and efficiently than traditional design approaches.

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