In the past, many operators apply their knowledge and expertise to find ways to use milling machine and lathe to work effectively and precisely so that their workpieces are closely similar to the original model. To find out a suitable way for each lathing process, even with the same lathe with the same model and the same workpiece, each operator tends to have their own way to set up the speed, the feeding rate, the cutting tool and other factors. As a result, the manufacturers do have a good manufacturing standard and there are some serious consequences: waste of materials for the piloting before the actual use, untimely wear of cutting tools and machines and no back logs to detect past errors for the manufacturers. Since we are in the age of competition for superior manufacturing effectiveness in order to succeed in the industry, the application of technology is crucial for the right direction. To apply technologies in the industrial development, we should begin from…
Computing Simulation Solution
In the age of Industry 4.0, it is important to manufacture through a computing simulation system or computer program in order to simulate the working conditions to find the optimal condition so that the products can be manufactured effectively. The system will collect and calculate many variables such as the speed, the feeding rate, the duration, the tool life and others to process the manufacturing. The more data about the manufacturing process we have, the more accurate the optimization will become.
Big Data
Obviously, the data from the manufacturing process contain internal data, digital sensor data, external data and manufacturing data. This set of data tends to grow bigger over time. When the data are collected and stored in a good systematic manner, the data analysis will be more accurate. However, the challenge is the find the right tool to develop an interpretive system or to analyze such vast amount of data so that we can get the right solution to the problem we have at hand.
Artificial Intelligence Plus the Internet of Things
Many people are well aware of the Artificial Intelligence of AI. This kind of intelligence can be put to use in many products such as vacuum cleaners, self-driving cars or algorithms in google and facebook, to name a few. When AI is used alongside the IOT system, that means a vast amount of data. Algorithms by AI will process all the data and display the sources of problems and how to resolve future problems as well as other factors which will affect the error. It will find ways to increase the effectiveness, reduce the resources and improve the safety of the manufacturing process. Moreover, the system called “Predictive maintenance” is a good example of the AI application in the IOT system. That is to say, the system will drive with algorithms which can predict the need for maintenance at the right time, either for the machine or the tools and sensors. Thanks to this method, the system can work continuously whereas the manufacturing cost and the maintenance cost are kept to the minimum.
we cannot deny the superiority of AI over humans. It is more clever, more accurate and more effective. If you are in any technological realm and any industrial sector, the individualistic style of artistic work will no longer work in the age of Manufacturing Industry 4.0. However, you can apply these technologies to optimize the industry because the secret of development lies in the application of technological advancements to keep your business at the top.