The fourth industrial revolution (Industry 4.0) is changing the world of manufacturing. While artificial intelligence is dominating the headlines, many manufacturing tasks still need human touch.
Automation and AI have already embedded themselves in the retail sector. AI personal shoppers can be anything from simple recommendation algorithms to sophisticated assistants like Alexa. But will AI be able to assist with something as complex as CNC precision machining?
This article is not just about the future of CNC precision machining and AI, it’s also about where we currently are, and what this means for you as a manufacturer.
CNC precision machining has been around since the 1940s thanks to John T. Parsons. But only in the last decade has it taken off in both cost efficiency and precision accuracy.
Much of this is thanks to advancements in CAD/CAM software that allow for faster prototyping and less waste. But it’s also down to faster and more accurate machines.
AI Deep Learning Will form the backbone of Industry 4.0
Through AI driven deep learning, machines can learn, respond, and optimize production all on their own. Data sets are key to helping operators gain insight on how a machine functions and, ultimately, how an entire floor of machines works in sync with each other.
The complexity of these AI deep learning processes will grow as time goes on. But in time, artificial intelligence will fine-tune the machining process until the process is as efficent as is possible. Beyond that, AI will be able to design, draw and machine entire components all on its own!
Increases in Productivity and Efficiency
The benefits of artificial intelligence and deep machine learning in computer numerical controlled (CNC) manufacturing are clear: increased productivity and efficiency. Every single benefit of AI and deep machine learning can be directly or indirectly tied to the core values of shop productivity and efficiency.
Predictive and diagnostic data with deep learning will allow machines to automatically alert an operator when they require servicing, part changes, and downtime. Diagnostic data can also help machinists and maintenance crews to make changes for better efficiency and functioning in real-time thanks to a never-ending data loop.
Cost Savings Maximised
One of the most significant problems with running a machine shop is figuring out when CNC machines require calibration, tune-ups, part adjustments, and servicing. No matter when these needs pop up, it will always cost time and money.
Well, what if AI could tell you exactly when machine parts need servicing, calibrating or replacing. With the right data sets, AI will be able to predict with high-accuracy exactly when all these things will be required. This will take Planned Preventitive Maintenance to a whole new level!
Artificial intelligence can predict when a machine needs servicing and the optimal time to do so. Data related to your production runs, run times, machine productivity, and tool life can be used by AI to determine optimal servicing and downtime slots. Knowing when a machine will need servicing allows shops to schedule their resources accordingly. This means less tool failure, prolonged tool life, less downtime, and saved time and money.
Industry 4.0 is Coming
The world of manufacturing is undergoing a radical transformation. Industry 4.0 is just one part of what is being duped ‘The fourth industrial revolution’.(4IR)
4IR will and already is to some degree changing how we build things. In fact, manufacturers have never faced such significant disruption in their supply chains and the way they do business as they do now thanks to new technologies like additive manufacturing (aka 3D printing), artificial intelligence (AI), robotics, and more.
This can be scary for some companies who aren’t ready for these changes—but it’s also an opportunity for those that are willing to embrace change rather than fight against it!
What is the fourth industrial revolution?
The fourth industrial revolution (4IR) is a term used to describe the fusion of advanced technologies such as artificial intelligence, robotics, and machine learning with manufacturing. The 4IR has been described as a third technological revolution following steam power and electricity.
What are the components of 4IR?
The 4IR includes big data analytics, cloud computing, blockchain technology, advanced materials (such as carbon fiber), smart sensors and actuators (for example: driverless cars), drones/robots/humanoid robots for field maintenance services such as inspecting oil pipelines or solar panels on rooftops).
Over the next decade we will see the biggest ever transformation in how we do industry. We are on the cusp right now. Anyone not paying attention will most certainly get left behind!
