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The Intelligence Automated Thread-Fastening Assembly using the Newton Raphson

principle of the thread fastenings have been known and used for decades. Its long applications become to a common manufacturing with the purpose of joining one component to another. Recently, the thread fastenings are a common assembly method, which is widely used and popularly applied. Because of the thread fastenings can be permitted easy to reassembly and disassembly for maintenance, repair, relocation, and recycling. Screw insertions are typically carried out manually with having the purpose of joining one component to another. Its is more complex to automate, and hence has admitted relatively very small research attention on automating threaded fastenings, and most automated assembly research is focused on the peg-in-hole assembly problem. This paper investigates the problem of an intelligence control strategy for automated Threaded Fastening process based on an analytical model and on-line parameter estimation. The monitoring problem deals with predicting the integrity of the self-tapping Threaded Fastening process, based on the torque vs. insertion angle curves generated during the insertions. A technique for estimating three unknown parameters during a general self-tapping Threaded Fastening is presented. It is shown that these parameters, required by the mathematical model, can be reliably estimated on-line. Test results are presented to validate procedure.