Development of High Power RF Windows for Next-Generation Superconducting and Normal Conducting Accelerators

Not Available The objective of the proposed effort is to define and demonstrate a methodology to confidently predict the hydrodynamic performance of a prototype marine vehicle using data from small-scale experiments. Traditionally, the scaling of small-scale data to estimate prototype performance assumes that the major issue is the friction drag change with Reynolds number and usually for the hull alone. This process ignores important conditions, such as acceleration, deceleration and maneuver. The proposed Phase I effort will develop a computer-based process that consists of a series of existing boundary layer estimation codes whose physical modeling has been carefully validated. The feasibility of the process will initially be demonstrated by focusing on the scaling of friction drag. If successful, the process can be adapted to address pressure drag and lift. A smart process will be defined that applies the different boundary layer codes to the flow regime that they are best suited to model. This smart process will be used to post-process small-scale data to reflect the effects of boundary layer changes between small scale and prototype Reynolds numbers. With an accurate knowledge of both the small-scale and prototype boundary layers the prototype system performance can be confidently estimated.