“…Cakir and Cilsal [47] introduced a TRIZ-alike matrix-based access system and established a knowledge database for various contradictions of chip removal process. Duflou and D'hondt [48] applied TRIZ principles of physical conflict, resolving to improve the performance of single point incremental forming. By focusing on the semiconductor industry, Sheu et al [49] developed a suitable contradiction matrix and corresponding inventive principles for that particular industry based on chemical-mechanical processing patents.…”
Section: Computer-aided Process Innovationmentioning
Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers' creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI). Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI) is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge-social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.
“…Cakir and Cilsal [47] introduced a TRIZ-alike matrix-based access system and established a knowledge database for various contradictions of chip removal process. Duflou and D'hondt [48] applied TRIZ principles of physical conflict, resolving to improve the performance of single point incremental forming. By focusing on the semiconductor industry, Sheu et al [49] developed a suitable contradiction matrix and corresponding inventive principles for that particular industry based on chemical-mechanical processing patents.…”
Section: Computer-aided Process Innovationmentioning
Process innovation plays a vital role in the manufacture realization of increasingly complex new products, especially in the context of sustainable development and cleaner production. Knowledge-based innovation design can inspire designers' creative thinking; however, the existing scattered knowledge has not yet been properly captured and organized according to Computer-Aided Process Innovation (CAPI). Therefore, this paper proposes an integrated approach to tackle this non-trivial issue. By analyzing the design process of CAPI and technical features of open innovation, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI) is constructed from the perspective of the knowledge life cycle. Then, a multi-source innovation knowledge fusion algorithm based on semantic elements reconfiguration is applied to form new public knowledge. To ensure the credibility and orderliness of innovation knowledge refinement, a collaborative editing strategy based on knowledge lock and knowledge-social trust degree is explored. Finally, a knowledge management system MPI-OKCS integrating the proposed techniques is implemented into the pre-built CAPI general platform, and a welding process innovation example is provided to illustrate the feasibility of the proposed approach. It is expected that our work would lay the foundation for the future knowledge-inspired CAPI and smart process planning.
“…In figure 2 is presented an exploded view of the designed fixing device using the computer aided design (CAD) workbench from CATIA V5. Similar with other fixing devices [7], this is composed from a set of plates: blank holder, backing plate and clamping plate, which are all raised at a certain height by four columns on the base plate. The base plate, the blank holder and all four columns are assembled using eight M12 screws.…”
In incremental sheet forming processes, the expensive dedicated tool are avoided and replaced with a cheap and simple fixing device which support the sheet metal blanks. The current paper presents how a fixing device used for single point incremental forming device is designed, FEM simulated and manufactured. The fixing device can be used for parts with a cone frustum and pyramidal frustum made of DC05 deep drawing steel. The forces developed in the process and the device displacements were estimated using FEM simulation. The device components were manufactured using a CNC machines and the physical assembly is also presented in the paper.
“…In recent years, some scholars have carried out useful explorations into specific types manufacturing process innovation by using the Theory of Inventive Problem Solving (Russian acronym: TRIZ) and knowledge engineering [11,[30][31][32]. With the development of Computer-Aided Innovation (CAI) technology and the requirements of manufacturing process problem-solving [33], the concept of computer-aided process innovation was advanced, with some specific application cases being used to illustrate the feasibility of structured/systematic process innovation design [9,12,[34][35][36].…”
Section: Knowledge-driven Computer-aided Process Innovationmentioning
In today's complex, constantly evolving and innovation-supporting manufacturing systems, knowledge plays a vital role in sustainable manufacturing process planning and problem-solving, especially in the case of Computer-Aided Process Innovation (CAPI). To obtain formalized and promising process innovation knowledge under the open innovation paradigm, it is necessary to evaluate candidate knowledge and encourage improvement suggestions based on actual innovation situations. This paper proposes a process innovation-oriented knowledge evaluation approach using Multi-Criteria Decision-Making (MCDM) and fuzzy linguistic computing. Firstly, a comprehensive hierarchy evaluation index system for process innovation knowledge is designed. Secondly, by combining an analytic hierarchy process with fuzzy linguistic computing, a comprehensive criteria weighting determination method is applied to effectively aggregate the evaluation of criteria weights for each criterion and corresponding sub-criteria. Furthermore, fuzzy linguistic evaluations of performance ratings for each criterion and corresponding sub-criteria are calculated. Thus, a process innovation knowledge comprehensive value can be determined. Finally, an illustrative example of knowledge capture, evaluation and knowledge-inspired process problem solving for micro-turbine machining is presented to demonstrate the applicability of the proposed approach. It is expected that our model would lay the foundation for knowledge-driven CAPI in sustainable manufacturing.
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