PurposeThe purpose of this paper is to develop a new methodology to find out the best robotic assembly sequence amongst feasible robotic sequences.Design/methodology/approachThe feasible robotic assembly sequences were generated based on the assembly constraints and later and artificial immune system (AIS) was implemented to find out the best assembly sequence.FindingsThe paper reveals the best assembly sequence.Originality/valueRobotic assembly has expanded the process capabilities in the manufacturing world because of the fact that it is faster, more efficient, precise and cost‐effective process than any conventional mechanized process. Since a robotic system is a cost‐intensive one it is necessary to find out the correct and optimal sequence with the constraints of the process in mind while dealing with assembled products with large number of parts.
Medical imaging techniques that are found in hospitals are X-ray imaging, MRI, ultrasound imaging, CT scan. Recently, a lot of scientific research work is being carried out with the aim of the improvement of these methods and the discovery of new non-invasive techniques. As a result, a new optical imaging technique, called Spectral Domain Optical Coherence Tomography (SD-OCT) was proposed in the early 2000s. Optical Coherence Tomography (OCT) is an emerging imaging technique having resolution in the μm range and depth of imaging in the mm range. In this paper we have described the basic principle, theory, types of OCT, signal processing steps and its applications in medical field. We have discussed some of the results related to signal processing that we got from simulation using MATLAB and Lab VIEW.
Here discussed a set up for imaging and depth measurement of non biological sample such as glass slide using SD-OCT.This set up uses SLED with central wavelength 1310 nm and bandwidth 100nm as source.
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