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Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products

G. Rojek, K. Regulski, D. Wilk-Kołodziejczyk, S. Kluska-Nawarecka, K. Jaśkowiec, A. Smolarek-Grzyb
2016 Archives of Foundry Engineering  
This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance.  ...  At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development  ...  Methods of computational intelligence in casting production From the foregoing it can be concluded that the tasks of computational intelligence and artificial intelligence in support of foundry processes  ... 
doi:10.1515/afe-2016-0018 fatcat:zbiaghrbbreizeczvpbg3nu2d4

Models and Algorithms for Production Planning and Scheduling in Foundries - Current State and Development Perspectives

A. Stawowy, J. Duda
2012 Archives of Foundry Engineering  
These methods are in fact dedicated to solving the standard problems such as shop floor scheduling or lot-sizing, or their simple combinations such as scheduling with batching.  ...  Mathematical programming, constraint programming and computational intelligence techniques, presented in the literature in the field of operations research and production management, are generally inadequate  ...  [9] divide them into two major classes: Operational Research (OR) and Artificial Intelligence (AI).  ... 
doi:10.2478/v10266-012-0039-4 fatcat:627qj36flrdd5iwymzsrqli4fi

Artificial Intelligence Approaches to Determine Graphite Nodularity in Ductile Iron

Maximilian Brait, Eduard Koppensteiner, Gerhard Schindelbacher, Jiehua Li, Peter Schumacher
2021 Journal of Casting & Materials Engineering  
Artificial intelligence algorithms were used to describe graphite formation, which is influenced by a variety of metallurgical parameters.  ...  The influence of relevant input parameters can be predetermined using artificial intelligence based on conditions and patterns that occur simultaneously.  ...  Recently, papers have been published which use the results of thermal analysis to predict the microstructures in ductile cast iron using artificial intelligence [15] .  ... 
doi:10.7494/jcme.2021.5.4.94 fatcat:q6wshnrrgvfdveo4w7fl5neqwe

Where's the Silicon?

Nir Kshetri, Jeffrey Voas
2021 Computer  
Silicon demand has been growing for microprocessors to support 5G, self-driving vehicles, artificial intelligence, and other uses.  ...  More specifically, Taiwan Semiconductor Manufacturing Company (TSMC) has been credited with pioneering the "foundry and fabless" model.  ... 
doi:10.1109/mc.2021.3055877 fatcat:haqcaz4mk5g6jhbbhj3x7pjaxi

Optimization of dry compressive strength of groundnut shell ash particles (GSAp) and ant hill bonded foundry sand using ann and genetic algorithm

Chidozie Chukwuemeka Nwobi-Okoye, Patrick Chukwuka Okonji, Stanley Okiy, Tao Peng
2019 Cogent Engineering  
In this research work, modeling and multi-objective optimization of dry foundry sand parameters were done using artificial neural network (ANN) and genetic algorithm (GA).  ...  ANN was used to predict dry compressive strength and unit production cost of dry foundry sand.  ...  His research interest include: Production Engineering, Energy Systems, Operations Research, Artificial Intelligence, Computational Science and Engineering, Materials Modelling, Systems Engineering and  ... 
doi:10.1080/23311916.2019.1681055 fatcat:igj2mz34tvgttpdqfmbjciv55u

Virtual Factory as a Method of Foundry Design and Production Management

A. Stawowy, R. Wrona, M. Brzeziński, E. Ziółkowski
2013 Archives of Foundry Engineering  
The paper outlines the methodology of virtual design of a foundry plant as a system.  ...  foundries.  ...  The proposed approach can be used when handling research tasks different from purely design problems.  ... 
doi:10.2478/afe-2013-0022 fatcat:4jezsmguqzc4naolzk4v5sd2zu

Page 512 of The Foundry Trade Journal Vol. 15, Issue 140 [page]

1913 The Foundry Trade Journal  
Considerable intelligence, of course, is necessary in equipping a foundry with such appliances, or they may be more nuisance than help; and in this prob- ably lies the explanation for the present condition  ...  Designs that under old, slow conditions have proved fairly satis- factory are still retained, despite the much higher efficiency of modern designs.  ... 


Anna Rozentsvaig, R. A. Vdovin
2020 Revista Binacional Brasil-Argentina Diálogo entre as ciências  
The article deals with some directions of the research and educational policy development.  ...  Keywords: Research; Education: Research and educational center: Competence development center; Artificial intelligence technologies: International accreditation.  ...  Here you can distinguish universal systems (modeling of foundry processes, designing elements of foundry equipment, etc.) and specialized software products aimed at solving one specific unique problem.  ... 
doi:10.22481/rbba.v1i02.7698 fatcat:psjsfxdp7rdxngx5ijmlszyova

Page 52 of The Foundry Trade Journal Vol. 26, Issue 309 [page]

1922 The Foundry Trade Journal  
Handling Materials. The following hints may prove of some value in the layout of a straight line foundry of medium capacity.  ...  52 ; THE FOUNDRY TRADE JOURNAL. Juty 20, 1922. clean than plain glass, but if given systematic and intelligent attention, no trouble will be experienced in this direction.  ... 

Expert System for Analysis of Casting Defects - ESVOD

T. Elbel, Y. Králová, J. Hampl
2015 Archives of Foundry Engineering  
Acknowledgements The paper has been worked out with the financial support by the Ministry of Industry and Commerce of the Czech Republic in the framework of solving the FT-TA 5/089 project: "New technology  ...  Artificial intelligence (AI) is a field of computer science engaged in the design and development of intelligent computer systems.  ...  Systematic work about utilization of artificial neural networks in metallurgy and material engineering has been published by Jančíková [8] .  ... 
doi:10.1515/afe-2015-0004 fatcat:3vletiokf5gyvhdn5lrfwkdxr4

Nanofabrication Technologies for All

Hiroyuki Akinaga
2019 Sensors and materials  
A brief historical review and difficult challenges with their prospects are presented in order to promote the further advancement of nanofabrication not only for SDGs Goal 9 but also for other SDGs Goals  ...  intelligence (AI) and big data  ...  In this range, one can realize nano-enabled devices in which the material elements or assembly of such elements exhibit performance or function possible only with nanotechnology.  ... 
doi:10.18494/sam.2019.2521 fatcat:5ghz3how6vdypexb6a2yp5c2mm

Metalcasting Industry Research

2021 International Journal of metalcasting  
Key seminar topics are data collection and management, data-driven decision making, artificial intelligence, augmented reality, virtual reality, wearable technology, robotics, automation and cyber security  ...  The data are used by industry and other analysts to inform material selection and design decisions.  ... 
doi:10.1007/s40962-021-00594-8 fatcat:a4lwnau4fjd5dfzcecucl5h4he

IoT Hierarchical Topology Strategy and Intelligentize Evaluation System of Diesel Engine in Complexity Environment

Jiangshan Liu, Ming Chen, Tangfeng Yang, Jie Wu
2018 Sensors  
Designers are usually not concerned with the network structure, thus network performance decreased when there are many data, and could even shut down due to security problems, thus influence the intelligence  ...  Then, the IIoT network topology strategy in diesel engine enterprise is designed, including foundry workshop, machining workshop and workshop MES.  ...  cloud computing, artificial intelligence, large data analysis and other technologies.  ... 
doi:10.3390/s18072224 pmid:29996560 pmcid:PMC6068506 fatcat:zpqfzi5nhrfw5frov4dvpb4zhe

Advanced Techniques In Casting Defects And Rejection Analysis: A Study In An Industry

S. Hiremath, Dr. S. R. Dulange
2015 Zenodo  
Foundries are still using trial and error methods to solve quality problems.  ...  This project presents a review on literature of different methods adopted by many foundries to reduce the percent of rejecti on.  ...  This paper presents an intelligent design environment to assist product engineers in assessing a part design for castability.  ... 
doi:10.5281/zenodo.1467542 fatcat:abzwufme5zgvraufllbl43jimm

Prediction and modeling of roughness in ball end milling with tool-surface inclination

O Bilek, R Milde, J Strnad, M Zaludek, M Bednarik
2020 IOP Conference Series: Materials Science and Engineering  
Some of these models are summarized in this paper, including contemporary evaluated models as well as their functional dependencies; moreover, offers an application of mill finishing with a ball-end cutter  ...  Acknowledgements This work and the project was realized with the financial support of the internal grant of TBU in Zlín No. IGA/FT/2019/001 funded from the resources of specific university research.  ...  intelligence (AI) as well as approaches using the design of experiment.  ... 
doi:10.1088/1757-899x/726/1/012003 fatcat:a4jwus4rqbdcdnsgk3odukaxay
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