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matlab compressor modeling toolbox  (MathWorks Inc)
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MathWorks Inc matlab compressor modeling toolbox
Fig. 11 shows the optimal path from point C to point D. For this path, the optimization code finds trajectories where the bearing house temperature increases, but the <t>compressor</t> cools down. Consistent with the results in Fig. 8, cooling the compressor optimally should require slow speeds and low pressures. Time reduction for this case is a factor of 23.
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Fig. 11 shows the optimal path from point C to point D. For this path, the optimization code finds trajectories where the bearing house temperature increases, but the compressor cools down. Consistent with the results in Fig. 8, cooling the compressor optimally should require slow speeds and low pressures. Time reduction for this case is a factor of 23.

Journal: IFAC-PapersOnLine

Article Title: Time Optimal Turbocharger Testing in Gas Stands with a Known Map

doi: 10.1016/j.ifacol.2018.10.092

Figure Lengend Snippet: Fig. 11 shows the optimal path from point C to point D. For this path, the optimization code finds trajectories where the bearing house temperature increases, but the compressor cools down. Consistent with the results in Fig. 8, cooling the compressor optimally should require slow speeds and low pressures. Time reduction for this case is a factor of 23.

Article Snippet: 2.2 Compressor The compressor massflow and efficiency are modeled using LiUCPgui (Llamas and Eriksson, 2018, 2017, 2016), which is a MATLAB compressor modeling toolbox.

Techniques: