Digitization is changing our world both quickly and radically. DMG MORI continues to develop positively – technologically, structurally and cul...READ MORE
Leaders in the manufacture of advanced technology solutions including Multi-Tasking, HYBRID Multi-Tasking, 5-axis, milling, turning, CNC controls and ...READ MORE
Dormer Pramet manufacturers rotary and indexable drilling, milling, threading and turning tools for general engineering, high production, aerospace an...READ MORE
More than 30 years ago, 3D Systems brought the innovation of 3D printing to the manufacturing industry. Today, as the leading additive manufacturing s...READ MORE
EOS provides responsible manufacturing solutions via industrial 3D printing. The independent company was formed in 1989 and is powered by its platfor...READ MORE
Designed for versatility and ease of use, the Microgage spindle-alignment tool is useful for aligning lathes and turning centers; adjusting boring mills; aligning drive shafts; adjusting barfeeders; and other applications. Available from Pinpoint Laser Systems, the tool provides data on runout, centerline offset, parallelism, concentricity and other parameters to guide machinery back to alignment.
The system operates via a round laser that is secured to a chuck or attached to the end of a shaft or spindle. A dual-axis reciever is placed on the tailstock, toolholder or any other piece of equipment that can receive the laser beam. As the laser and receiver move relative to each other, the digital display provides a reading of the alignment and machine characteristics. The tool can measure to precision of 0.0001" or better. The laser can align at distances as great as 150'.
Manufacturing and measurement are closely coupled. An important consideration for the use of measurement results is the associated measurement uncertainty. This article describes common metrology terms and provides an example uncertainty analysis.
Renishaw Central, the company’s new end-to-end process control software, offers a new methodology for producing families of parts through actionable data.
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