Search Results

In today's manufacturing environment, it has become necessary to develop intelligent robots which are adaptable to changing process requirements. To attain this goal, a key robot technology involving new real time control algorithms has been developed. The algorithms govern the 3D position and orientation of the robot. Initially, a simulation method was used to study the achievable system accuracy. From the results of computer simulations, it was determined that the algorithms can achieve a high tracking accuracy of ± 0.5 mm at a velocity of 300 mm/sec (4 times higher than conventional sensory control speeds). For a sensory feedback system, delays in tracking movements are inherent. This is due to the calculation time required for control and to the servo response. To solve this problem, a sensor is positioned at a predetermined distance in advance of the tool in the direction of travel.

We have developed a new measurement apparatus designed to take orange-peel quality-assessment measurements of paint-finished surfaces on a non-contact basis. This apparatus was developed to determine the relationship between in-line spray-coating conditions and the resulting orange peel surface, and to optimally control/manage the conditions of our existing facilities to ensure the best possible coating results based on the obtained data. The apparatus has been implemented by adopting image analysis, which combines an optical system design based on human inspectors’ visual-checking conditions and a set of straightforward algorithms.