Utilizing Machine Learning (ML) to oversee the status of hobbing cutters aims to enhance the gear manufacturing process’s effectiveness, output, and quality. Manufacturers can proactively enact ...
AFFOLTER GROUP developed the AF160 to maximize versatility for gear cutting. “The AF160 is designed for high-precision manufacturers that need flexibility and efficiency,” explained Vincent Affolter, ...
Blum-Novotest recently opened its new Competence Center in Erlanger, Kentucky. Inside, the company plans to run a training and technology hub for the U.S. market — especially supporting the growth of ...
To detect problems in manufacturing quickly and guarantee quality, c-Com bundles all available data concerning the machine, tool and workpiece for analysis with artificial intelligence (AI). The new ...
Deep Probabilistic Learning for Process Quality Evaluation With a Case Study of Gear Hobbing Process
Abstract: Conventional semisupervised learning approaches are limited by the reliance on assumptions of samples (manifold assumption, cluster assumption, and smoothness assumption) and may fail to ...
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