Computer Numerical Control (CNC)
Assembly Line
TOSHULIN is using Generative Design to Transform CNC Machine Design
How to design flexible and profitable CNC automation systems?
Predictive-Maintenance Tech Is Taking Off as Manufacturers Seek More Efficiency
Anna Farberov, general manager of PepsiCo Labs, the technology venture arm of PepsiCo Inc., said that over the past year so-called predictive-maintenance systems at four Frito-Lay plants reduced unexpected breakdowns, interruptions and incremental costs for replacement parts, among other benefits.
Developed by New York-based startup Augury Inc., the technology has helped Frito-Lay add some 4,000 hours a year of manufacturing capacity—the equivalent of several million pounds of snacks coming off the production line and shipped to store shelves, Ms. Farberov said.
Cycle Time Reduction Secrets part 1
Robots and CNC Machines - An Assembly Configuration Made in Heaven
The real challenge with manufacturing comes from making all of your equipment work together. Electrical and automation controls have been around for decades, and the technology has advanced at nearly overwhelming rates. It’s almost a guarantee that any new machine will need some sort of custom interface board or network protocol to communicate and work in harmony with the rest of the process or overall system.
Two types of machines have a tendency to be a bit more difficult for novice users to integrate into a larger system scope - robots and CNC machines.
CNC builders look to software, machine-health data, customization and modular design
The adoption of on-machine components follows the development of more and more sophisticated hardware and software for better machine-to-machine communication. Increasingly, components are using multiple protocols, facilitating deeper communication for easier access to more in-depth data. Customers of systems integrators like Methods Machine Tools want solutions for faster and more specific data collection from any protocol, in order to boost production with predictive maintenance insight.
“The emergence of data as a tool to enable real-time decision making on the shop floor is evolving how companies run and maintain their machines,” Parenteau says. Whereas old alarms signaled the presence of an issue, detailed diagnostics can instead tell operators precisely what the issue is. For example, rather than just letting an operator know how much cutting fluid is in the tank of a CNC machine, more advanced on-machine components could tell someone the viscosity and temperature of the fluid. That information can be used to improve machining processes and resolve minor issues before they become costly problems. Coolant flow is another variable that is closely monitored in CNC machine tools, as it can have a direct impact on shop productivity or part quality, he says.
How to Reduce Tool Failure with CNC Tool Breakage Detection
There are several active technologies used in CNC machining that enable manufacturers to realize these benefits. The type of system used for tooling breakage detection may consist of one or more of the following technologies.
They’re often tied to production monitoring systems and ideally IIoT platforms that can analyze tooling data in the cloud to better predict breakages in the future. One innovation in the area of non-contact technologies is the use of high-frequency data that helps diagnose, predict and avoid failures. This technology is sensorless and uses instantaneous real-time data pulled at an extremely high rate to build accurate tool failure detection models.
How to Reduce Cycle Times by 70% and more on Your Existing CNCs and Dramatically Improve Tool Life Too
Much has been made of high efficiency milling in recent years, and for good reason. Roughing cycle times can often be reduced by as much as 80% by using solid end mills, small stepovers, faster feed rates and deeper axial depths of cut. The shortcoming has been that, due to part feature obstructions or CAM system limitations, the cutting technique can often only be used in certain areas of a part so that total part cycle time reduction ends up being much more modest.
Dr. Somekh says iMachining applies a much more flexible approach with the patented ability to dynamically vary the tool cutting angle (which refers to the degree of radial engagement of the tool with the material) and the feed rate in order to maintain a constant chip thickness and load on the cutting tool. The dynamic feed rate adjustment algorithm supports material cutting angles from 10 to 80 degrees of tool engagement. Constant load and chip thickness is key to the success of iMachining, also with very small cutters and machining in hard or highly abrasive materials.
CNC Machining vs. Manual Machining
CNC machines are faster and produce less waste than their manual counterparts. Manual machines which have undergone a CNC retrofit have been shown to produce parts 75-300% faster. Increasing throughput reduces part costs by decreasing the number of man-hours required to produce each part. Also, switching tools on a CNC machine can be over four times faster than on a similar manual machine. This results in faster turnaround times to get finished parts to customers.
The higher accuracy and precision of CNC machines also produce a lower scrap rate and therefore a lower part cost.Lower scrap rates not only mean more money in your pocket upfront, but higher precision machining tends to decrease customer rejection rate as well. When you have a more precise, repeatable process, the risk for missing defects during inspection is low. This prevents the customer from receiving faulty parts which, in turn, increases customer satisfaction.