Use of machine learning algorithm for the better prediction of SR peculiarities of WEDM of Nimonic-90 superalloy

Metal roofs overtaken the conventional roofing system in the recent days due to its reliability, it can withstand over 100 years without any damage. The assembler provides 50 years of warranty because it has better stability. The fixing of sheets over prefixed frame is a tedious process at greater heights. Due to the slippery nature of the polished sheets, it is quite difficult to fix the sheets by manually at highest building roofs. Hence, automation in this process reduces the accidents and reduces the processing time. To overcome this problem, a system is proposed to automate the process to fixing the metal roofs in the building roofs, which must be designed in flexible manner to the operator. To design and fabricate a low cost automatic sheet fixing system, contemplations of economy of the system, flexibility, easy handling etc., should be analyzed. A machine is fabricated to automate the sheet fixing process with effective features were inbuilt like pneumatic cylinders for linear movement and drilling machine The system is provided with rollers to accommodate its movement above the sheets in the desirable path with the help of 5/3 DCV valve. In addition, the horizontal cylinders are also used for retraction and the drilling machine is fixed to drills the screw at the fixed positions and the process will be repeated for several times based on the inputs. The inputs for drill positions are given in the wireless console by the way drilling process is controlled automatically.