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Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining.

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  • 1Key Laboratory of Road Construction Technology and Equipment of MOE, School of Construction Machinery, Chang'an University, Xi'an 710064, China.

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|November 27, 2021
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Summary
This summary is machine-generated.

This study introduces a knowledge-based framework to solve complex micromachining problems. It enables innovation design for miniaturized parts, enhancing manufacturing efficiency and precision.

Keywords:
computer-aided innovationinnovation designknowledge-based engineeringmicro-turbinemicromachiningproblem solvingsmart manufacturing

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Area of Science:

  • Manufacturing Engineering
  • Materials Science
  • Computer Science

Background:

  • Micromachining is crucial for aerospace, automotive, and precision instruments.
  • Complex manufacturing challenges arise from high precision and knowledge-intensive nature of miniaturized parts.
  • Existing methods lack systematic approaches for micromachining process problem-solving and innovation.

Purpose of the Study:

  • To present a knowledge-based holistic framework for micromachining innovation design.
  • To develop a systematic scheme for structured micromachining process problem solving.
  • To create an innovation support system for process planners.

Main Methods:

  • Developed an open multi-source Machining Process Innovation Knowledge (MPIK) acquisition paradigm, including knowledge units and a knowledge network.
  • Explored an MPIK network-driven structured process problem-solving and heuristic innovation design method.
  • Integrated a knowledge-driven heuristic design system into the Computer-Aided Process Innovation (CAPI) platform.

Main Results:

  • A validated knowledge-based framework enabling structured problem-solving and heuristic innovation in micromachining.
  • Demonstrated the effectiveness of the MPIK paradigm and the CAPI platform integration.
  • Successful application in a case study for micro-turbine machining process innovation.

Conclusions:

  • The proposed framework provides a systematic approach to address complex micromachining challenges.
  • The MPIK acquisition paradigm and CAPI integration facilitate innovation design.
  • This research offers a valuable tool for enhancing process planning and innovation in the micromachining industry.