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A digital pathway to optimise milling cycles

By Politecnico di Milano - Politecnico di Milano

Type of course:

Digital learning, Path

Language:

EN

Duration:

2 hours

Workload:

6 hours

Proficiency:

Beginner

Target:

Manager, Professionals, Workers

The learning path is designed to provide the essential requirements for optimizing a typical milling cycle, including the integration of a digital pathway. The main goal is to minimize the cycle time as much as possible without reaching the point of diminishing returns. By utilizing this digital pathway, it aims to generate precise production data that can be accurately predicted, resulting in minimal iterations required for production planning. This process involves leveraging digital tools and technologies to enhance efficiency and accuracy in milling operations. Ultimately, the aim is to achieve a streamlined and efficient milling process that maximizes production output while minimizing costs and errors.


Learning outcomes

  1. The learner is able to apply advanced knowledge of milling parameters to optimize cycle time in milling operations. They analyze the material being milled, cutting tool characteristics, and desired surface finish to determine the appropriate calibration of spindle speed, feed rate, and cutting depth.
  2. The learner is able to employ problem-solving skills to select machining strategies that minimize tool wear/breakage and reduce cycle time in milling operations. The learner considers factors such as the material being machined, workpiece geometry, and cutting parameters to enhance efficiency and cost-effectiveness.
  3. The learner is able to demonstrate critical thinking abilities by redefining and extending existing milling practices. They analyze complex and unpredictable contexts that require new strategic approaches, considering multi-stakeholder involvement and the development of new projects/initiatives/start-ups. Through their innovative thinking, they provide strategic guidance for the development of new milling processes or technologies.
LessonFINAL ASSESSMENT

Topics

Advanced Manufacturing, Digital Transformation, CNC Machining, Artificial Intelligence (AI), Cybersecurity, Digital Twin

Provided by

Content created in 2023
+238 enrolled
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Course Includes

  • 1 Quiz
  • 1 Certificate of achievement

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