As a result from the previous researches we want to reach our final goal. Automated vacum infusion. Learned from our different experiences we concluded that software was needed to link the different tools created together. The different tools designed need to collaborate together. We approached a student (Maurice Trippelvitz) from applied computer science (TI) to improve the software for controlling the vacum assisted resin transfer molding (VARTM) process. The step of industrialization needs to be made after the proof of concept of Marco Withag.
The first step was to develop a resin tracking software which can track the resin saturated surface using a camera. If the software knows the saturation rate at any specific point in time it can manipulate the resin flow according to optimal flow rate. In order to achieve this the student created software that tracks the saturation using OpenCV. To calibrate the software one needs to use a black tape to define the edges of the product in the mold. To define the sizes of and to calibrate the speed calculation one needs to place the calibration tool (see figure 1).
Using the input of the camera the saturated, non saturated areas are being tracked. By comparing the these areas in combination with time one can calculate the surface, speed and acceleration of the saturated area. The results will be tracked in a graph (Figure 2)
To optimize this system we manufactured a new silicon top mold with 3 injection points and 1 vacum circle (Figure 3). The goal is to do a full autonomous injection of a composite part. Figure 4 shows the result of the vacum injection using the silicon top mold.