• Setalaxmi H
• Sumithra M.D.
• Anil Kumar E.N.

The structure of aircrafts is constructed by assembling many structural parts with the help of mechanical joints. Mechanical joints are of two types, permanent joints and temporary joints. In most of the occasion temporary joints otherwise known as fastener joints are used to held two parts of a structure together. These two part of a temporary joints are held together by tightening nut and bolt or screw. The tightening phenomena is called “torqueing”. While torqueing a screw or nut, an opposing force is acting on the surface of screw and nut. This force is termed as frictional force or contact force or nut factor This friction predominantly influences the amount of torque to be applied while the screw or nut is fastened. Hence, if the value of friction is wrongly assumed, the intended force will not be there at the joint and it will result in joint failure. The nuts and bolts used in these joints are supplied by different manufactures, which increases the complexity in finding the frictional factor correctly for each pair, when calculated manually in an experimental setup. This experimental setup is expensive and demands high manual intervention This paper works on finding this frictional factor automatically by correlating manufacturing specification of nuts and bolts.

Coefficient of friction, aerospace fastener, machine learning models, correlation

"Machine Learning Methods for Feature extraction and Classification of Fasteners based on Friction Coefficient", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.535-539, March-2019, Available :http://www.jetir.org/papers/JETIR1903P67.pdf

"Machine Learning Methods for Feature extraction and Classification of Fasteners based on Friction Coefficient", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp535-539, March-2019, Available at : http://www.jetir.org/papers/JETIR1903P67.pdf