Quality assesment in bone scaffolds through internet based robotic using intelligent data mining
Optimization of design in fabricating scaffolds in an important step in obtaining tissue engineering scaffolds with appropriate shape and inner microstructure. Different shapes & sizes of scaffolds are modeled using UGS NX 6.0 modeling software with variable pore sizes. The quality issue we are concerned is about scaffold porosity, because of fabrication errors the porosity is not be very high for few models. There is lot of research ongoing for characterization using scanning electron microscope, but this study will introduce a new technique to characterize the scaffolds using network based robots, machine vision system and conveyor facility using which the process can be automated. The insight software for the Cognex camera is set such that it can determine whether the specimen can be useful or not instantly. The purpose of this research is wholly to improve the quality at earlier stages of manufacturing by which overall cost can be reduced and further preventing processing of defective during manufacturing. In this paper we will analyze the data collected from fabricated scaffolds using neural networks for classification and regression analysis and then design of experiments for total automated diagnosis of the part mainly considering the surface features for analysis.
Chilukuri, Aditya, "Quality assesment in bone scaffolds through internet based robotic using intelligent data mining" (2010). ETD Collection for University of Texas, El Paso. AAI1483864.