A sensing mechanism of a two-dimensional airfoil model, which includes pressure sensor groups, multiple first tubes, the second tube, and a cavity. The pressure sensor groups are vertically fixed to mounting holes in the surface of the two-dimensional airfoil model. The pressure measurement surface of each pressure sensor is vertical to the surface of the two-dimensional airfoil model. Multiple mounting holes are opened in and vertical to the surface of the two-dimensional airfoil model. The cavity is fixed to the interior of the two-dimensional airfoil model. The reference pressure end of each pressure sensor is connected to the cavity through the first tube, the multiple pressure sensors of the pressure sensor groups are in one-to-one correspondence with the multiple first tubes. The cavity is connected with the first end of the second tube. The second end of the second tube is located in the air outside the two-dimensional airfoil model.

An apparatus is described and in one embodiment includes a first portion comprising an inner diameter, a first outer diameter, and a first length and a second portion, wherein the first portion and the second portion are integrally connected together, the second portion comprising the inner diameter, at least one second outer diameter, and a second length. The embodiment further includes a flange comprising a contact surface, wherein the inner diameter of the first portion and the second portion provides a hollow pathway through the apparatus.

A system and method for estimating the shear wall stress of an aerodynamic surface using a tuft visualization technique combined with a physics-informed neural network. The tuft visualization technique is a simplified method of generating velocity profile data of an aerodynamic model that can subsequently be used to generate a shear wall stress profile of the model. Systems and methods described herein also provide for additional input data using an augmented tuft and taps inputs for the physics-informed neural network to generate the shear wall stress profile.

A wall surface pressure measurement structure measures a wall surface pressure in a duct. Measurement holes are formed in different positions in a circumferential direction on an inspection surface of a wall surface of the duct. The inspection surface is orthogonal to an extending direction of the duct. A pressure chamber communicating with the measurement holes is provided on an outer peripheral side of the duct. The pressure chamber is coupled to a pressure gauge via a pressure pipe.

A wall surface pressure measurement structure measures a wall surface pressure in a duct. Measurement holes are formed in different positions in a circumferential direction on an inspection surface of a wall surface of the duct. The inspection surface is orthogonal to an extending direction of the duct. A pressure chamber communicating with the measurement holes is provided on an outer peripheral side of the duct. The pressure chamber is coupled to a pressure gauge via a pressure pipe.

Described are various embodiments of an aerodynamic drag monitoring system and method. In one embodiment, a system is described to comprise a motion sensor and an aerodynamic sensor operable to acquire respective sensor values each associated with a respective sensor noise variance, a digital data storage medium having stored thereon a digital motion dynamic model and preset initialization parameters, and a digital data processor operable to iteratively process measured sensor values against the model to output a predicted value for a predicted aerodynamic drag variable over time while accounting for each sensor noise variance.

A multi-dimensional vibration control method based on piezoelectric ceramic actuator applied to wind tunnel test of aircraft model. The pitch and yaw acceleration sensors arranged on the center of mass of the aircraft model are used to measure the two components of the main vibration acceleration of the aircraft model, and the main vibration vector of the aircraft model is obtained and the real-time vibration plane of the strut is determined. Inertia is introduced to solve the dynamic bending moment on the active section of the multi-dimensional vibration damper, and then the stress distribution on the active section is obtained. The multi-dimensional active vibration control system is adopted to improve the stability and reliability of the active vibration control system of wind tunnel model, extend the service life of piezoelectric ceramic actuator, and ensure the quality of wind tunnel test data and the safety of wind tunnel test.

A flight test system for a flapping-wing aerial vehicle includes a host computer platform, a measurement mechanism, and a wind tunnel. The measurement mechanism is configured to mount a to-be-tested flapping-wing aerial vehicle prototype. The measurement mechanism includes an Euler angle controller, a flow angle controller, and a tripod. The flow angle controller is mounted on the tripod. The Euler angle controller is in transmission connection with the flow angle controller. The flapping-wing aerial vehicle prototype is detachably connected to the Euler angle controller by using a first connecting member. The host computer platform is in communication connection with the measurement mechanism and the wind tunnel, and is configured to control a wind speed of the wind tunnel and display a flight status of the flapping-wing aerial vehicle prototype in real time during test.

A flight test system for a flapping-wing aerial vehicle includes a host computer platform, a measurement mechanism, and a wind tunnel. The measurement mechanism is configured to mount a to-be-tested flapping-wing aerial vehicle prototype. The measurement mechanism includes an Euler angle controller, a flow angle controller, and a tripod. The flow angle controller is mounted on the tripod. The Euler angle controller is in transmission connection with the flow angle controller. The flapping-wing aerial vehicle prototype is detachably connected to the Euler angle controller by using a first connecting member. The host computer platform is in communication connection with the measurement mechanism and the wind tunnel, and is configured to control a wind speed of the wind tunnel and display a flight status of the flapping-wing aerial vehicle prototype in real time during test.

Disclosed is a method for evaluating computational fluid dynamic simulation results. The method includes, based on a set of initial conditions, performing a first baseline run and a second baseline run of a simulated area or volume containing a vehicle body shape, and then performing a change run of the simulated area or volume containing a modified vehicle body shape, and performing the following actions within the simulated area or volume: plotting an iso line of the first baseline run and a corresponding iso line of the second baseline run, plotting an iso line of the change run that corresponds to the iso line of the two baseline runs, and comparing whether the iso line of the change run falls between the iso lines of the two basline runs. If not, then the modification to the vehicle body shape may be considered significant.