Tag: machine learning in manufacturing

A combined neural network and gray relational analysis framework identified optimal CO₂ laser cutting settings for PMMA, cutting machining time ...

A robustness-oriented framework shows that validation strategy, not model complexity, decides whether machine learning predictions of laser cladding residual stress ...

Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, and ...

Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...

Researchers in China have developed a Sparrow search algorithm-optimized attention-LSTM neural network that predicts step error in five-axis finishing machining ...

A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...

In recent years, the convergence of machine learning (ML) with metal additive manufacturing (AM) has ushered in a new era ...

In an era where the clash between industrial growth and environmental sustainability intensifies, new research sheds critical light on the ...

In recent years, the field of manufacturing has witnessed a paradigm shift fueled by the integration of advanced machine learning ...

In the relentless pursuit of materials that can transform industries—from aerospace to biomedical engineering—researchers have been relentlessly pushing the boundaries ...