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The Manufacturing Cycle

By TU Darmstadt - TU Darmstadt

Type of course:

Digital learning, Path

Language:

EN

Duration:

1 hour, 20 minutes

Workload:

6 hours

Proficiency:

Beginner

Target:

Professionals, Workers

The learning path „The Manufacturing Cycle“  focuses on the journey of transforming an idea into a final product, covering various phases of the manufacturing cycle. It providesan overview of each phase, highlighting the information, data, and technologies involved,along with specific examples. Additionally, the path explores the challenges associatedwith each phase. The topics covered include CAD (Computer-Aided Design), CAPP (Computer-Aided process planning), CAM (Computer-Aided Manufacturing), CNC (Computer Numerical Control), and machine settings.


Learning outcomes

  1. After the completion of the learning pathway, professionals can apply their knowledge of CAD (Computer-Aided Design) to transform an initial product idea into a detailed design. They can utilize CAD software to create accurate and precise digital models of the product, incorporating necessary dimensions, features, and specifications.
  2. After the completion of the learning pathway, professionals can demonstrate their proficiency in CAM (Computer-Aided Manufacturing) by translating the CAD design into machine-readable instructions. They can explain how to generate tool paths, specify cutting parameters, and optimize the manufacturing process using CAM software. This enables them to seamlessly transfer the design to CNC (Computer Numerical Control) machines for efficient and precise production.
  3. After the completion of the learning pathway, professionals can apply critical thinking skills and problem-solving abilities to optimize machine settings during the manufacturing cycle. They can analyze the challenges associated with machine settings, such as spindle speed, feed rate, and tool selection, and make on-the-spot calibrations to enhance performance and quality.
LessonAssessment of learning path: The Manufacturing Cycle

Topics

Advanced Manufacturing, Digital Transformation, CNC Machining, Data mining

Provided by

Content created in 2023
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Course Includes

  • 1 Quiz
  • 1 Certificate of achievement

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