1 1 Effect of Side Gust on the Performance of a Supersonic Inlet with Bleed System Hussein K. Halwas and Suresh Aggarwal § Department of Mechanical and Industrial Engineering University of Illinois at Chicago 842 W Taylor St, Chicago, IL 60607 We report a computational investigation on the effects of side gust on the performance of a supersonic inlet with a bleed system at Mach 1.8. This is an extension to our recent study that analyzed a similar inlet without bleed. The supersonic section is designed using the Taylor–Maccoll method, and the rest of the inlet using a methodology from literature. The bleed is positioned at the throat inner wall, and its shape is a combination of a ram scoop and flush slot. ICEM CFD software is used to generate a 3–D structured mesh. ANSYS Fluent 18.2 code is used to perform 3–D simulations. Grid sensitivity tests were performed using local grid refinements and varying the total grid points from 3 to 10 million. The effects of side gust on the shock system and flow are analyzed by examining the Mach number and pressure distributions. The inlet performance is characterized in term of total pressure loss, flow distortion, and mass flow ratio parameters for gust speed of 56 m/s and angles of 0, 30 and 60 o . Results indicate that the inlet performance is significantly affected by the side gust, although the bleed system mostly removes the low momentum flow. I. Nomenclature A = area, 2 M = Mach number ̇ = mass flow rate, ⁄ = static pressure, pa, . 2 ⁄ = total pressure, pa, . 2 ⁄ = temperature, V = velocity magnitude, ⁄ = side gust angle, deg H = altitude, m TPR = total pressure recovery MFR = inlet mass flow ratio FD = flow distortion Subscripts = average = inlet max = maximum min = minimum y = condition immediately behind the normal shock wave ∞ = free stream condition c = capture b = bleed out = outlet Ph.D. student, MIE Department, University of Illinois at Chicago, Illinois, USA. Email: hhalwa2@uic.edu. § Professor, MIE Department, University of Illinois at Chicago, Illinois, USA. Email: ska@uic.edu.