Intelligent welding systems
It is important to develop intelligent welding systems to ensure defect free welds in automation welding systems employed for critical application areas:
Nuclear,aerospace,defence ,power,piping and petro chemical industries.There is tremendous growth in computer science,electronics,control systems and integration of various sub systems to enhance productivity.
- Data science in welding technology: Information collected helps for improvement of decision making process,process improvement,error detection,error prevention
- Welding processes: Several inputs and associated outputs
- Data mining processes
- Machine learning
- Deep learning
- Reinforcement learning
- Analysis and control of complex welding system
- Sensor technology to collect large volume of data
- Analysis of data
- Welding parameters: Adjustable; current,current waveform,heat input,wire feed speed,travel speed,arc voltage; All provide system data
- IWMT(Intelligent Welding Manufacturing Technology): Self optimisation,Intelligent feed back
- New data analysis technique:1Process analysis and methodologies2.Software3.Data mining4.Deep learning5.Reinforcement learning6.Computer science Algorithms7.Data analysis/analytical techniques
- Arc welding: Sensors;Indirect sensing-conventional,vision,sensor fusion
There are other tools like ANN useful for SAW,GTAW,GMAW in predicting distortion,residual stresses.