How does Ansys’ SpaceClaim 3D modeling software help manufacturers streamline designs and boost manufacturing productivity?
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Manufacturing competitiveness depends on working faster, smarter, and better, with the convergence of the Industrial Internet of Things (IIoT) devices and smart sensors, software and data analytics.
The Fourth Industrial Revolution has begun, and there is wide agreement this revolution will involve cyber-physical systems with human-machine interaction and lots of data. But many still wonder what the revolution is about and what to expect as consumers and manufacturers.
Keeping products clean is becoming a more significant part of manufacturing as standards for cleanliness, deburring, and finish grow more stringent.
One of the most cost-effective ways to obtain the benefits of automation is by adding a bar feeder to a CNC lathe or other bar machine. Costing anywhere from about $10,000 to $40,000 depending on configuration, the devices can add hours of untended operating time for part volumes of a few hundred to tens of thousands.
Shop efficiencies start with the machine tool controller, as today’s CNC equipment offers machine operators myriad tools for improving part surface finishes, allocating machine time, and cutting job cycle times.
For years, the manufacturing industry has debated the pros and cons of opening up manufacturing networks, but concerns over virus vulnerabilities and the stability of PCs on the network largely limited open-architecture PC controls’ progress and kept entrenched proprietary systems in place.
Workholding techniques using a magnetic field, a vacuum, or an adhesive can be effective alternatives to clamps. When these techniques are used, more part area is available for the cutting tools, thin parts can be held, and initial setup can be fast and simple. Plus, there is a potential for smoother surfaces and a shorter overall production cycle.
With the push toward a fully digital factory, manufacturing execution systems (MES) software has never been more critical to manufacturers of all stripes.
Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.