Document Type : Primary Research paper
Associate Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India
Associate Professor, Department of Robotics and Automation Engineering, PSG College of Technology, Coimbatore, Tamilnadu, India
Low cost automation techniques play a significant role in reducing the lead time and
production cost. Automation technique is implemented by developing a part feeding system. Its
effectiveness is verified both experimentally and theoretically. Drop test is used to find the natural resting
orientation. Real time experiments are conducted using designed trap to determine the part motion time.
The Input parameters considered for the research are trap angle and frequency of vibration and they are
varied while conducting the experiments. An ANOVA model is developed to verify its accuracy. The
developed model shows that the value of R-sq is 90.32 % and it reveals that forecasted values seem very
nearer to the real response values. Regression equation is evolved to forecast the optimum values of trap
angle and frequency and the same is solved using LINGO software. It was found both experimentally
and theoretically that greater values of both the input parameters resulted in least part motion time.