hillips Corporation has become the first Meltio partner worldwide to successfully integrate the Meltio Engine Blue into a Haas CNC machine. This milestone marks a significant evolution in hybrid manufacturing, combining additive and subtractive technologies into one streamlined workflow, paving the way for advanced applications in the defense sector.
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Xiris Automation has announced the release of its Near Infrared (NIR) Weld Camera System with a 140+ dB High Dynamic Range (HDR) imaging capability with advanced NIR illumination that can be synchronized to the camera.
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With the new, extremely precise and fast MarSurf LD 140/LD 280 measuring station, Mahr offers an automated solution for measuring roughness and contour at the same time and with maximum accuracy.
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GKN Aerospace – Centre of Excellence in Trollhättan, Sweden has integrated Interspectral’s AM Explorer software into its additive manufacturing (AM) workflow, strengthening its commitment to advanced digital manufacturing and sustainability. The adoption of AM Explorer enhances quality assurance, process monitoring, and operational efficiency, ensuring high-reliability production of aerospace components.
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X-Rite Incorporated, a global leader in color science and technology, has announced the launch of the CiF3200 imaging spectrophotometer, designed for color measurement of small, odd-shaped, multi-colored, and highly reflective items.
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SinceVision has announced the launch of its newest innovation in color detection technology—the Color Sensor SS1 Series. Designed to push the boundaries of speed and precision in industrial sensing, the advanced full-spectrum sensor represents a leap forward in real-time color recognition capabilities for quality control and process automation.
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In the relentless pursuit of speed, accuracy, and cost-effectiveness on the modern factory floor, Marposs is stepping up with a breakthrough that speaks directly to the needs of smart manufacturing. Introducing SMARTNet — a next-generation industrial connectivity system that reimagines how measurement networks are built, maintained, and scaled.
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Researchers at University of Toronto Engineering are leveraging machine learning to improve additive manufacturing. In a new paper, published in the journal of Additive Manufacturing, the team introduces a new framework they’ve dubbed the Accurate Inverse process optimization framework in laser Directed Energy Deposition (AIDED).
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Having the ability to directly control the torque of all the cobot joints opens vast opportunities for cobots to carry out demanding tasks. But even for experienced cobot users and researchers, building your own software stack to enable this is both time consuming and challenging.
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As the demand for tighter tolerances and higher efficiency grows across industries such as electric vehicles, tube and wire manufacturers face increasing pressure to enhance speed, reduce waste, and maintain consistent product quality. The 2025 TubeInspect system is engineered to meet these challenges by providing advanced optical 3D measurement that delivers fast, reliable results.
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