1 resultado para Colorado River Basin Quality Control Project.
em Bulgarian Digital Mathematics Library at IMI-BAS
Filtro por publicador
- Aberdeen University (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (43)
- ARCA - Repositório Institucional da FIOCRUZ (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (5)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (14)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (30)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (4)
- CentAUR: Central Archive University of Reading - UK (16)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (24)
- Cochin University of Science & Technology (CUSAT), India (7)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (7)
- Digital Commons - Michigan Tech (2)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (31)
- DigitalCommons - The University of Maine Research (1)
- Duke University (4)
- Ecology and Society (1)
- Greenwich Academic Literature Archive - UK (1)
- Harvard University (4)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (27)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (2)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (1)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (5)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (7)
- Publishing Network for Geoscientific & Environmental Data (243)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (26)
- Queensland University of Technology - ePrints Archive (37)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (5)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositorio Institucional da UFLA (RIUFLA) (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (105)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (18)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (2)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (2)
- University of Canberra Research Repository - Australia (2)
- University of Michigan (182)
- University of Queensland eSpace - Australia (2)
- University of Washington (1)
- USA Library of Congress (1)
Resumo:
Every year production volume of castings grows, especially grows production volume of non-ferrous metals, thanks to aluminium. As a result, requirements to castings quality also increase. Foundry men from all over the world put all their efforts to manage the problem of casting defects. In this article the authors present an approach based on the use of cognitive models that help to visualize inner cause-and-effect relations leading to casting defects in the foundry process. The cognitive models mentioned comprise a diverse network of factors and their relations, which together thoroughly describe all the details of the foundry process and their influence on the appearance of castings’ defects and other aspects.. Moreover, the article contains an example of a simple die casting model and results of simulation. Implementation of the proposed method will help foundry men reveal the mechanism and the main reasons of casting defects formation.