The phrase "automatic manufacturing" is correct and usable in written English.
It can be used to describe a manufacturing process that is carried out with minimal human intervention, often involving machinery and technology.
Example: "The factory has invested in automatic manufacturing systems to increase efficiency and reduce labor costs."
Alternatives: "automated production" or "robotic manufacturing".
At present, welding robots are predominantly found in automatic manufacturing processes, most of which use teach and playback robots that require a great deal of time for training and path planning, etc.
Advanced composite materials are characterized by high specific strength and stiffness and, in combination with automatic manufacturing processes, make it likely to fabricate composite structures with high levels of weight and cost efficiency.
On the basis of the results obtained, a new mold was designed that allowed, through an automatic manufacturing cycle of 5 s duration, matching cap and body items to be prepared.
Advanced composite materials are characterized by their high specific strength and stiffness and, in combination with automatic manufacturing processes, make it possible to fabricate composite structures with high levels of weight and cost efficiency.
For example, automatic driving systems, manufacturing environments, smart city management, etc.
For CMOS image sensor (CIS) manufacturing, automatic optical inspection (AOI) is the critical equipment for defect reduction and yield enhancement.
Automatic generation of manufacturing information from design has been the research focus in advanced CAD/CAM applications, i.e. feature-based applications for design, process planning and other automated manufacturing applications.
Given the high degree of automation in manufacturing systems, automatic control systems have become central to shop floors' responsiveness.
Service-Oriented Architecture and Multi-Agent Systems are technologies that can promote the so needed interoperability and automatic reconfiguration between different manufacturing systems.
A mechanical actuator is very important in order to apply automatic measurement systems in manufacturing industries to reduce the error as well as measurement cost.
Experimental studies are carried out using vibration signals to verify the effectiveness of the DBN model for feature learning, providing a new way of feature extraction for automatic fault diagnosis in manufacturing.
