industry 4.0: generalized technologies replace purpose-built ones on the factory floor - circuit board assembly

Industry 4.
0 is a very broad concept that contains many technological advances in today's manufacturing sector-so it's easy to get lost.
One of the core opportunities in the industry.
0 is the development and increasing availability of common solutions that must be achieved in the past-built.
These generic solutions are inherently more scalable and are connected by default.
Summary: three examples. First, let's start with the basics: the generalization of tools.
In the past, the only way to make 100 plastic parts was to start the aluminum tool and use the injection molding machine.
Over the past decade, it is possible to obtain these parts from many companies that sell 3D printers or 3D printing services.
How about 100 metal parts?
Now you can use CNC mills or metal 3D printers instead of stamping or forging tools.
In the tool, there is a clear shift from a dedicated tool to a general tool, which reduces the cost of prototyping and speeds up the market.
The second manufacturing summary is the machine.
Most of the mechanization of manufacturing starts with tools, but later includes machines, with the aim of either doing things that humans cannot do or avoiding them.
In the electronics field, since automation has been downstream from the chip manufacturing and tool store, and fertile soil has been found in the board surface mounting assembly (SMA).
These lines are filled with single
Function machine (
Paste deposit, pick and place, oven)
This is incredibly interoperable and easy to re-program.
As an industry standard, this automation has significantly increased the output of SMA to more than 99%.
However, automation encountered a difficulty at the door to the assembly workshop.
Unlike most boards that follow the same basic rules of SMA, problems on the floor of the workshop vary depending on the product it produces.
This does not prevent manufacturers from trying to automate the workshop.
In the process of constantly pursuing operational efficiency and layoffs, manufacturers who have not built automation internally work with system integrators who take advantage of the opportunity to build custom equipment.
Instead of investing in the development of general machines for basic operations (
Screw in the screws, label them, combine parts A and B together, etc)
Manufacturers drive system integrators
Built-in devices used to connect a specific label or combine two specific parts.
While it enables system integrators to sell new equipment for each project, it sets back the industry as a whole: automation and highcost, high-
Complex solutions.
Things began to change. While purpose-
The machines built are still very popular, multi-functional batteries and omni-
Purpose: the robot arm speeds up and grows at double speed
The annual growth rate reached several digits.
Several companies are building a network-based, multi-
Function and large-scale repeatable programming.
It is only time to know whether the general hardware technology produced by these companies can replace this purpose.
Today, the industry relies on lower costs for building systems.
The third example is the generalization of the examination-previously carried out by humans and now frequently replaced (when possible)
Camera and algorithm.
While the camera itself is a highly versatile tool, its effectiveness depends entirely on the algorithm it runs to provide judgment online.
For decades, a computer vision system that uses classical computer vision methods to measure or identify defects previously programmed is possible.
These are rules.
System-based, very specific, requires customized programming, usually by an expert.
This makes them expensive.
Sometimes these rules can be combined with knowledge to determine the turbine blade x-
Ray represents the defective parts-but they are still based on the ingenuity and limitations of the rules and the people who write the algorithms.
This makes the algorithm short.
Sighted: they can miss a lot of things.
Broad sense and self
Programming visual algorithms driven by machine learning methods are about to go live, which not only enables these systems to program themselves, but also identifies defects that are not even expected.
These algorithms are able to determine what to look for and how to measure it with little supervision.
In the end, these systems will have a faster start-up time, cheaper overall, enabling the vision to be in a less-than-good place --
Suitable for previous and support the needs of sensors on the production line to support industry 4. 0 and beyond.
The generalization and outlook of benefits tools, machines and inspections is an awesome bonus from the technology investments made by manufacturing on the way to industry 4. 0.
Generalization has some serious benefits that everyone will benefit from: as manufacturers begin to rethink the way things have been going, these broad-based technologies will accelerate the development of the industry.
At the same time, make the benefits along the way.
Promotion is a safe bet for manufacturing technology investment.