The manufacture of mechanical forgings in ship port is a complex and demanding field, whose quality directly affects the safety and stability of ship operation. However, the traditional forging production method has some problems, such as unstable quality, long production cycle and high cost. With the continuous development of artificial intelligence technology, more and more manufacturing enterprises have begun to try to apply artificial intelligence technology to forging production to solve these problems. This paper will discuss the application status and future development trend of artificial intelligence technology in ship port mechanical forging production.
Traditional ship port mechanical forging production mainly depends on the experience and skills of skilled workers, there are problems in the production process of unstable quality, long production cycle and high cost. In addition, due to the particularity of forging production, once there is a waste or quality accident, it often causes greater economic losses and time delays. Therefore, how to improve the quality and efficiency of forging production and reduce production costs is an urgent problem in the field of forging production.
With the continuous development of artificial intelligence technology, its application in forging production has gradually attracted wide attention. Specifically, the application of artificial intelligence technology in forging production includes the following aspects:
Digital design: By using digital design technology, forging can be modeled and analyzed on the computer to improve the accuracy and efficiency of the design. At the same time, digital design can also be easily optimized and iterated, reducing the cost and time of trial production.
Intelligent robot: Intelligent robot has a wide range of application prospects in forging production. Through the automatic operation of robots, production efficiency and quality stability can be greatly improved. For example, intelligent robots can carry out precise operations such as picking, handling and processing on the production line, avoiding the impact of human factors on product quality.
Big Data analysis: By collecting and analyzing the data in the production process of forging, problems and improvement points in the production process can be found. For example, through the analysis of temperature, pressure and other data in the processing process, process parameters can be optimized to improve production efficiency and product quality.
The application of artificial intelligence technology in the production of mechanical forgings in ship ports will solve the problems existing in traditional production methods to a large extent. However, there are still some challenges and issues that need to be faced to realize these applications. For example, how to improve the accuracy and efficiency of digital design, how to ensure the stability and adaptability of intelligent robots, and how to process and analyze large amounts of data.
For the future development, we believe that artificial intelligence technology will promote the progress of forging production in the following aspects:
Highly integrated: Future AI systems will be more integrated, covering all aspects from design to production. This will make the collection, processing and analysis of data more convenient and efficient.
Machine learning and optimization: Through in-depth analysis of the data generated in the production process, the use of machine learning technology to continuously optimize the process, improve production efficiency and product quality.
Enhanced human-machine interaction: Future intelligent robots will have more advanced human-machine interaction capabilities and can better adapt to production operations in complex environments. This will increase production efficiency while reducing operational difficulty and enabling more people to participate in the forging process.
Prediction and maintenance: Through big data analysis and machine learning technology, real-time monitoring and predictive maintenance of forging production equipment can be carried out, reducing the failure rate of equipment and improving the overall production efficiency.
To sum up, the application of artificial intelligence technology in the production of mechanical forgings in ship ports has great significance and broad prospects. Through the application of technologies such as digital design, intelligent robots and big data analysis, the quality and efficiency of forging production can be significantly improved, and the cost and scrap rate can be reduced. However, there are a number of technical and engineering challenges that need to be addressed to realize these applications. For manufacturers and personnel engaged in forging production, they should actively pay attention to and apply the new progress of artificial intelligence technology to improve their own technical level and competitiveness. At the same time, attention should also be paid to cooperation with scientific research institutions and universities, training relevant talents, and promoting the further development and application of artificial intelligence technology in forging production.
