Publications by authors named "Ricardo Toro"

Article Synopsis
  • Ultrasonic metal welding (UMW) is a solid-state joining technique with specific industrial uses but has a narrow operating range, making it sensitive to process variations.
  • The study develops a machine learning-based response surface methodology (RSM) to better understand the complex relationships between welding parameters and joint quality, specifically focusing on optimizing peel and shear strengths.
  • The findings demonstrate that techniques like Gaussian process regression (GPR) and support vector regression (SVR) outperform traditional polynomial models in prediction accuracy, and the research has broader implications for other manufacturing processes.
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