Use the machine digital twin to test G-code and virtually validate production processes.
By virtually validating the real-life machining environment prior to production, Hexagon’s CNC simulation software helps manufacturers avoid errors, decrease setup times and switch CNC programs between machines to increase shop-floor productivity, reduce costs and move closer to right first time.
The production process is the most costly area of manufacturing when things go wrong. The efficiency and high throughput of modern machine tools means that simple things like tool wear, changes to environmental conditions or a small error in programming can add up to costly rework and scrap.
At the same time, the preparation and debugging of programs for CNC (computer numerical control) machine tools are tasks that offer tremendous scope for increased productivity. Manufacturers need to maximise machine uptime in order to remain profitable.
Hexagon’s CNC simulation solutions address these challenges using a machine digital twin to test and prove out G-code for CNC machines in a virtual environment. They allow manufacturers to validate CAD CAM programs prior to production to avoid costly collisions and mitigate against anomalies in machine tool behaviour. Proving programs via simulation also reserves machine time for manufacturing operations, minimising downtime for essential equipment.
We’re climbing the automation curve
Our transition to Intelligent automation is accelerating. Ultimately, our innovations will give rise to new technologies and applications - many of which we’ve yet to imagine. Today, every Hexagon solution is mapped and tagged according to its level of automation, so customers can clearly track our progress towards the freedom of autonomy.
All tasks completed by human labour; no data is leveraged across the operation.
Labour is primarily conducted by a human workforce. Some functions have been automated to simplify control.
Some tasks are automated for short periods of time, accompanied by occasional human intervention.
Human workforce is used for intervention as autonomous operations begin to increase productivity.
Autonomous systems complete required tasks within specific bounds, unleashing data and building smart digital realities.
A smart digital reality™ enables autonomous systems to complete all tasks without human intervention.
Products that make an environmental impact in forest monitoring, material reusability, farming or water usage.
Products that make an environmental impact in renewable energy, noise pollution elimination and e-mobility.
Products that make an environmental impact in saving our oceans, reducing pollution and increasing access to clean water.