AI techniques in computer-aided process planning

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

2 hours

Proficiency:

Beginner

Target:

Professionals

Artificial Intelligence (AI) systems applications are widespread due to their domain-independent characteristics. This nugget focuses on the application of AI techniques, specifically expert systems and evolutionary approaches, in Computer-Aided Process Planning (CAPP) for manufacturing optimization. Expert systems, utilizing rule-based reasoning and knowledge representation, provide intelligent decision support for tasks such as process planning, tool selection etc. On the other hand, evolutionary techniques, such as genetic algorithms, enable the optimization of process plans, production scheduling, tool path generation, fixture layout etc. By combining expert systems and evolutionary approaches, CAPP systems can enhance efficiency, reduce costs, improve productivity, and make informed decisions in the manufacturing industry. This nugget highlights the significance of AI techniques in CAPP and their diverse applications in the manufacturing domain.

Learning outcomes

After the completion of the learning nugget, professionals can discuss about the use of AI systems in CAPP
After the completion of the learning nugget, professionals can understand Expert systems and give their applications in CAPP and manufacturing
After the completion of the learning nugget, professionals can understand Evolutionary approach and give their application in CAPP and manufacturing