Abstract:Cyrocoolers are notorious for being difficult to design and optimize. Reasons for this include subsystem complexity, large unknowns associated with material and transport parameters, and high sensitivity to manufacturing tolerances. The purpose of this paper is to address this topic by incorporating design uncertainty itself as a constraint during the optimization of a Joule-Thomson sorption cryocooler. In our method a Markov Chain Monte Carlo sampler is used as the means to develop a suitable ensemble from a … Show more
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