DEVELOPMENT OF NEW COMPUTATIONAL IMAGE ANALYSIS TECHNIQUE FOR MEASURING THE CIRCULARITY AND STRAIGHTNESS OF SEAMLESS PIPE

• Published in: Annals of Faculty Engineering Hunedoara 2013-10, Vol.11 (4), p.293
• Main Authors: Patwari, Anayet U, Ullah, S M Tawfiq
• Format: Article
• Language: English
• Subjects: Image processing systems; Measurement; Mechanical engineering; Mechanical properties; Pipes
• ISSN: 1584-2665; 2601-2332

Circularity and straightness of a pipe is a very important factor in determining the pipe quality which is absolutely necessary in applied field. Frequent failures and quality of screw threads machined at the ends of steel pipe are undermined if these properties are not correctly maintained within the required limit. Hence, in production line the measurement and maintenance of roundness factor and straightness of a pipe accurately is of utmost importance. For meeting the quality demand, different techniques have been employed but these are not cost effective all the time. Many factory employed online measurement technique by using some sensors and sophisticated setup. However the manual process by using some precision device is time consuming and chance of human error is also considerable which are not suitable at all for high quantity production line. The machine vision technique employed earlier in this regard has used some online setup which is not convenient enough for satisfying the purpose smoothly. The authors of this paper took this problem into account and thereby present a new machine vision technique by image analysis which has proven to be very effective in measuring the circularity and straightness of a seamless pipe. The authors used the digital image processing technique so that the user can dynamically interact to get the result very quickly and easily. Later on, the response, precision and stability of the technique are verified by physical measurement, which show good agreement. [PUBLICATION ABSTRACT]