بكارگيري منطق فازي جهت پيش بيني هندسه جوشدرجوشكاري زيرپودري

جوشكاري زيرپودري از روش هاي مهم جوشكاري با نرخ رسوب بالا و كيفيت جوشكاري مناسب محسوب مي شود كه در جوشكاري ورق هاي ضخيم، مخصوصا جوشكاري لوله هاي قطور انتقال نفت و گاز و مخازن تحت فشار كاربرد زيادي دارد. در اين روش تنظيم دقيق پارامترهاي جوشكاري جهت نيل به جوشكاري با كيفيت بالا، از اهميت زيادي برخوردار است. عموما تنظيم پارامترها بصورت سعي و خطا، با استفاده از مقادير پيشنهادي سازندگان دستگاه و يا كتب فني (مراجع جوشكاري) صورت مي گيرد كه روش دقيقي نمي باشد. در اين تحقيق جهت پيش-بيني دقيق هندسه گرده جوش، از منطق فازي استفاده شده است. بدين منظور آزمايش هاي عملي در شرايط مختلف جوشكاري بر روي ورق فولادي لوله هاي انتقال گاز از نوع API X65انجام شد. سپس بر اساس اطلاعات تجربي بدست آمده، مدلفازي مطلوبي طراحي شد كه ورودي-هاي آن جريان، ولتاژ و سرعت جوشكاري و خروجي هاي آن عمق نفوذ جوش، پهنا و ارتفاع گرده جوش مي باشد. نتايج اين تحقيق نشان مي-دهد كه مدل ارايهشده،مي تواند با دقت مطلوبي هندسه ي گرده جوش را تخمين بزند. بر اين اساس مي توان در شرايط مشابه و كنترل شده، از اين مدل با اعمال تغييرات مورد نياز براي تنظيم عمليپارامترهاي جوشكاري خط توليد لوله هاي فولادي استفاده كرد. Submerged Arc Welding is one of the important welding processes with high deposition rate and high welding quality. This method of welding is largely used in welding of large-diameter gas transmission pipelines and high-pressure vessels. Selection of process parameters has great influence on the quality of welded joint. Generally, welding parameters are determined by trial and error, based on standard codes, handbooks and recommendations from manufacturer. However, this selection may not yield optimal and accurate welding performance. This study offers a technique, based on Fuzzy logic for weld bead geometry prediction. First, different welding parameters are set to perform different experiments on API X65 steel plates. Then weld bead geometry is measured experimentally. Base on the resulted data, the Fuzzy logic are used for perediction of weld bead geometry.The results show that the designed Fuzzy system can accurately predict the weld bead geometry parameters. This is promising as the developed model can be used in the actual pipe millwith applying required changes for selection of the real welding conditions.

Submerged Arc Welding is one of the important welding processes with high deposition rate and high welding quality. This method of welding is largely used in welding of large-diameter gas transmission pipelines and high-pressure vessels. Selection of process parameters has great influence on the quality of welded joint. Generally, welding parameters are determined by trial and error, based on standard codes, handbooks and recommendations from manufacturer. However, this selection may not yield optimal and accurate welding performance. This study offers a technique, based on Fuzzy logic for weld bead geometry prediction. First, different welding parameters are set to perform different experiments on API X65 steel plates. Then weld bead geometry is measured experimentally. Base on the resulted data, the Fuzzy logic are used for perediction of weld bead geometry.The results show that the designed Fuzzy system can accurately predict the weld bead geometry parameters. This is promising as the developed model can be used in the actual pipe millwith applying required changes for selection of the real welding conditions