Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Qunfen Qi"'
Autor:
Yuchu Qin, Shubhavardhan Ramadurga Narasimharaju, Qunfen Qi, Shan Lou, Wenhan Zeng, Paul J. Scott, Xiangqian Jiang
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 8, Iss 4, p 130 (2024)
Laser powder bed fusion (LPBF) is a promising metal additive manufacturing technology for producing functional components. However, there are still a lot of obstacles to overcome before this technology is considered mature and trustworthy for wider i
Externí odkaz:
https://doaj.org/article/6d50e471595d4036a603f19dba9d48c2
Publikováno v:
Virtual and Physical Prototyping, Vol 16, Iss 1, Pp 29-49 (2021)
In this paper, an automatic determination method of part build orientation for laser powder bed fusion is presented. This method includes two steps. First, an existing facet clustering-based approach is applied to automatically generate the alternati
Externí odkaz:
https://doaj.org/article/769106494f3d4d6fa47d7a33a0d4ffd3
Publikováno v:
Virtual and Physical Prototyping, Vol 15, Iss 3, Pp 307-324 (2020)
In this paper, a novel facet clustering based method is proposed to generate alternative build orientations for laser powder bed fusion. This method consists of two steps. First, a hierarchical clustering algorithm is applied to divide facets of the
Externí odkaz:
https://doaj.org/article/c349aef010304b9bb2c3114fcbf9c4d3
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221759 (2019)
Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion values and to aggregate the described information to generate a ranking of alternatives. A flexible and superior tool for the first task is q-rung orthopair
Externí odkaz:
https://doaj.org/article/d30aadc5442344ec8dd342c3f85b1365
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 126:1293-1302
In this paper, an approach for selection of materials in metal additive manufacturing based on three-way decision-making is proposed. The process of this approach is divided into three stages. First, a decision matrix for a material selection problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a37a67823cb4801d808c14fb03bcec2
https://doi.org/10.1007/s00170-023-10966-5
https://doi.org/10.1007/s00170-023-10966-5
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ff83c3c817c1f390cbcca7eaf92fa63
https://doi.org/10.1109/tii.2023.3249751
https://doi.org/10.1109/tii.2023.3249751
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
How to solve a multi-criterion decision-making (MCDM) problem with linguistic interval-valued intuitionistic fuzzy numbers (LIVIFNs) effectively is an important research topic. So far, a number of methods for solving this problem have been presented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7afedd39792b624842e25c3bbd003bc6
https://doi.org/10.1007/s12652-022-04102-6
https://doi.org/10.1007/s12652-022-04102-6
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 115:1295-1328
Part orientation is a critical task in the process of additive manufacturing product realisation. Recently, various computer-aided methods for this task have been presented in the literature. The coexistence of different methods generates a series of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c876e88c3b6fab9ca8a15861b699b0ed
https://doi.org/10.1007/s00170-021-06996-6
https://doi.org/10.1007/s00170-021-06996-6
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:3292-3302
In Industrie 4.0, machines are expected to become autonomous, self-aware and self-correcting. One important step in the area of manufacturing is feature recognition that aims to detect all the machining features from a 3-D model. In this research are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55d6130e946e4b8ee7bc2534d48c963
https://doi.org/10.1109/tii.2020.3030620
https://doi.org/10.1109/tii.2020.3030620
Autor:
Changcai Cui, Hui Huang, Jing Lu, Guoqin Huang, Xiangqian Jiang, Qunfen Qi, Xipeng Xu, Luca Pagani
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 112:25-40
In this paper, a characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography (XCT) is carried out. One of the most challenge tasks in the characterisation is extracting the diamond abrasive grains from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68702cee39e0a20ee164318a827e056a
https://doi.org/10.1007/s00170-020-06238-1
https://doi.org/10.1007/s00170-020-06238-1