Center of Excellence in Energy Conversion (CEEC), School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Identification and minimization of error sources is one of the important issues in experimental investigations. Mainly in micro-scale problems, precise settings should be applied in high-tech test beds to reduce disturbances and induced motions.
An experimental study is conducted to assess the role of induced forces and velocity fields in a particulate system which is used for particle identification and separation. Two main effects caused by disturbances are sampling errors and induced motion in the channel either on fluid or dispersed phases. Different disturbance scenarios are implemented on the test bed and then the system response is reported. In order to assess the induced motion as a result of applied forces, microscopic imaging of particles movement in the channel and image processing of the results is performed.
Results of particle sampling indicate that optimized pneumatic settings should be implemented to secure safe level of sampling error. Results for induced flow show that the velocity filed can affect the operation of the manipulation mechanism. Methods for capturing the induced force and velocity fields can be implemented in the relevant applications such as micro-particle systems and cellular studies.