Quality control has moved out of the ‘end of the line' zone in today's manufacturing world. It's woven into the process.
Engineers must accurately predict thermal stabilization and calibrate simulation software to achieve consistent quality in miniaturized components.
Smart manufacturing uses AI and real-time data to boost injection molding quality, cut costs and predict equipment issues.
In the injection molding of plastics, in-mold sensors, as part of a variety of process control packages, have been around for decades. But comparatively recently, similar technology has begun to make ...
A joint research project by the Fraunhofer Institute for Chemical Technology (F-ICT, Pfintzal, Germany) and the Fraunhofer Project Centre for Composites Research (FPC, London, ON, Canada) has been ...
Increased productivity in injection moulding process translates to lower unit costs, a stronger competitive position, and more profit. To achieve this goal, optimising product changeover times is ...
Xometry has rolled out a series of updates to its injection molding platform, targeting engineers and sourcing teams looking ...
Magnum Venus Products, a global manufacturer of fluid movement and production solutions for industrial applications, is launching a new process for closed molding to increase part production by ...
Xometry's expanded materials catalog now supports auto-quoting for glass-filled Nylon, PBT, PC-PBT, PLA, PPE-PS, and PSUXometry's free on-demand DFM consultations can now be scheduled on the platform, ...
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