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

Abstract

Micromachining techniques have been applied widely to many industrial sectors, including aerospace, automotive, and precision instruments. However, due to their high-precision machining requirements, and the knowledge-intensive characteristics of miniaturized parts, complex manufacturing process problems often hinder production. To solve these problems, a systematic scheme for structured micromachining process problem solving and an innovation support system is required. This paper presents a knowledge-based holistic framework that enables process planners to achieve micromachining innovation design. By analyzing innovation design procedures and available knowledge sources, an open multi-source Machining Process Innovation Knowledge (MPIK) acquisition paradigm is presented, including knowledge units and a knowledge network. Further, a MPIK network-driven structured process problem-solving and heuristic innovation design method was explored. Subsequently, a knowledge-driven heuristic design system for machining process innovation was integrated in the Computer-Aided Process Innovation (CAPI) platform. Finally, a case study involving specific process problem-solving and innovation scheme design for micro-turbine machining was studied to validate the proposed approach.

A Review and Prospects of Manufacturing Process Knowledge Acquisition, Representation, and Application

“…In essence, statistical and mathematical methodologies furnish a rigorous and methodical framework for the profound assimilation and deployment of manufacturing knowledge, underscoring data's imperative role in facilitating production efficiency and innovation. Zhang et al [23] devised a paradigm for multi-source knowledge acquisition, analyzing the design process and various knowledge sources. They developed a heuristic design methodology predicated on the machining process innovation knowledge (MPIK) network to systematically address the intricacies associated with the production of miniaturized components and foster process innovation.…”

Manufacturing Innovation: Engineering an Innovation Approach to Industry 4.0

“…Despite diverse requirements for the innovation process design, research concentrating on process models for manufacturing innovation is minimal. Existing process models, for instance, address the innovation process focusing on manufacturing innovations using specific technologies (e.g., Boer and During (1987) and Zhang et al (2021)) or manufacturing innovation within specific industries (e.g., Aliasghar et al (2019), Frishammar et al (2013), Wagner (2008)). Even though such research may be a source of inspiration for how to approach manufacturing innovation in the context of Industry 4.0, the results suffer from limited generalizability to contemporary innovation of the manufacturing system.…”