Translation of energy storage welding machine

How Welding-based additive manufacturing technology can reduce manufacturing costs?

Welding-based additive manufacturing technology will make it possible shorten production cycles and reduce manufacturing costs. 8.2. Deployment of intelligent welding From the design-production-product perspective, the feasibility of communizing and standardizing the product line should be studied to facilitate the welding processes.

How does a human welder work?

This system permits human decision-making to be monitored and recorded in a realistic environment. A human welder holds a virtual torch whose operation is similar to a real torch through which he can observe and control the welding operation. The actual weld is performed by a welding robot equipped with sensors that measure the weld pool surface.

How can machine intelligence be used in welding?

Welding is a complex, non-linear process involving a large number of parameters. It is difficult to use direct mathematical formulas to map its inputs and outputs before welding. Machine intelligence, especially optimization algorithms, can be applied to design welds and their process parameters based on quality goals and other factors.

Why is sensing technology important in welding?

Sensing technology is important for modeling and controlling the welding process, and can include sensors for capturing acoustic, force, visual, voltage, and current signals. The research literature has addressed the strengths and weaknesses of sensing technologies as outlined in Table 6.

What role does welding play in modern industrial production lines?

Welding processes and systems play an important role in modern industrial production lines. After decades of evolution, many welding operations using handheld-tools have been replaced by automated welding systems using industrial robots [, , ].

How can we make welding systems intelligent?

This paper examines fundamental components and techniques necessary to make welding systems intelligent, including sensing and signal processing, feature extraction and selection, modeling, decision-making, and learning.