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

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 pro...

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Autores principales:	Dong Zhang, Gangfeng Wang, Yupeng Xin, Xiaolin Shi, Richard Evans, Biao Guo, Pu Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	micromachining micro-turbine computer-aided innovation innovation design smart manufacturing knowledge-based engineering Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/4ca0295b8b94434ea6f4f83f7de14da3
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id	oai:doaj.org-article:4ca0295b8b94434ea6f4f83f7de14da3
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spelling	oai:doaj.org-article:4ca0295b8b94434ea6f4f83f7de14da32021-11-25T18:23:22ZKnowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining10.3390/mi121113572072-666Xhttps://doaj.org/article/4ca0295b8b94434ea6f4f83f7de14da32021-11-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1357https://doaj.org/toc/2072-666XMicromachining 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.Dong ZhangGangfeng WangYupeng XinXiaolin ShiRichard EvansBiao GuoPu HuangMDPI AGarticlemicromachiningmicro-turbinecomputer-aided innovationinnovation designsmart manufacturingknowledge-based engineeringMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1357, p 1357 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	micromachining micro-turbine computer-aided innovation innovation design smart manufacturing knowledge-based engineering Mechanical engineering and machinery TJ1-1570
spellingShingle	micromachining micro-turbine computer-aided innovation innovation design smart manufacturing knowledge-based engineering Mechanical engineering and machinery TJ1-1570 Dong Zhang Gangfeng Wang Yupeng Xin Xiaolin Shi Richard Evans Biao Guo Pu Huang Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
description	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.
format	article
author	Dong Zhang Gangfeng Wang Yupeng Xin Xiaolin Shi Richard Evans Biao Guo Pu Huang
author_facet	Dong Zhang Gangfeng Wang Yupeng Xin Xiaolin Shi Richard Evans Biao Guo Pu Huang
author_sort	Dong Zhang
title	Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
title_short	Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
title_full	Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
title_fullStr	Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
title_full_unstemmed	Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
title_sort	knowledge-driven manufacturing process innovation: a case study on problem solving in micro-turbine machining
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4ca0295b8b94434ea6f4f83f7de14da3
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Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining

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