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Related Concept Videos

Steel Manufacturing01:26

Steel Manufacturing

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Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
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A process-tailoring method for digital manufacturing projects.

Wen-Lung Tsai1

  • 1Department of Information Management, Oriental Institute of Technology, New Taipei 22061, Taiwan.

Mathematical Biosciences and Engineering : MBE
|September 14, 2021
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Summary

Digital manufacturing projects require tailored processes, not one-size-fits-all software development. This study introduces a knowledge-based ontology and tailoring system to customize digital manufacturing development for specific projects, improving implementation.

Keywords:
digital manufacturingproject managementsemantic rulesoftware developmenttailoring system

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Area of Science:

  • Engineering
  • Computer Science
  • Manufacturing Systems

Background:

  • Digital manufacturing projects often adapt general software development processes.
  • Standard processes may not encompass the unique needs of digital manufacturing.
  • Customizing development principles is crucial but knowledge-intensive.

Purpose of the Study:

  • To propose a knowledge-oriented digital manufacturing ontology model.
  • To develop a semantic rule-based tailoring system for process customization.
  • To enhance the implementation of digital manufacturing projects.

Main Methods:

  • Developed a knowledge ontology for digital manufacturing.
  • Designed a semantic rule-based system for strategy derivation.
  • Utilized an inference-rule engine for tailoring.
  • Demonstrated application via a 3D-modeling example.

Main Results:

  • The proposed ontology model provides a structured knowledge base.
  • The semantic rule-based system effectively derives tailoring strategies.
  • The system aids in concrete project implementations.
  • Successful application shown in 3D-modeling a hospital kitchen.

Conclusions:

  • A knowledge-oriented approach enhances digital manufacturing project tailoring.
  • The proposed ontology and system offer a practical solution for customization.
  • This method supports improved development process refinement.