Rövidített megjelenítés

dc.contributorBudapesti Műszaki és Gazdaságtudományi Egyetemen_EN
dc.contributorÓbudai Egyetemen_EN
dc.contributorSzent István Egyetemen_EN
dc.creatorCsilla Erdősné Sélleyen_EN
dc.creatorGyörgy Gyureczen_EN
dc.creatorJózsef Janiken_EN
dc.creatorGábor Körtélyesien_EN
dc.date2012-02-20en_EN
dc.date.accessioned2019-08-08T13:11:22Z
dc.date.available2019-08-08T13:11:22Z
dc.identifier.urihttp://dtk.tankonyvtar.hu/xmlui/handle/123456789/7708
dc.descriptionThe handout presents the design optimization tasks occurring in the mechanical engineering practice and clarifies the basic concepts needed to set up optimization model. The optimization algorithms are explained from simple univariate and unconditional techniques up to the multivariate and conditional methods based on these, taking into account widely usable direct methods, gradient methods which have favorable convergence properties and random procedures having chance to find the global optimum. Encountering with complex engineering optimization problems in the sensitivity analysis helps to reduce the size of the task, but in given time to solve them the design of experiments methods are the natural choice. The uncertainties in engineering systems can be treated by the robust design. The available optimization softwares are shown as practical implementation of these methods and techniques to support the mechanical engineering design. After the methods assisting the planning process (optimization machine parts and components), we are looking at the optimization possibilities of production processes. Applying a complex systems-based model on enterprise level, we learn how to be utilized high-quality machines in the production process and objective decision-making, supplying information to complex technical-economic qualification.en_EN
dc.formatapplication/pdfen_EN
dc.languageenen_EN
dc.publisherTypotex Kiadóen_EN
dc.rightsCsilla Erdősné Sélleyen_EN
dc.rightsDr. Gábor Körtélyesien_EN
dc.rightsBudapest University of Technology and Economicsen_EN
dc.rightsFaculty of Mechanical Engineering; György Gyureczen_EN
dc.rightsÓbuda Universityen_EN
dc.rightsDonát Bánki Faculty of Mechanical and Safety Engineering; Prof. Dr. József Janiken_EN
dc.rightsSzent István Universityen_EN
dc.rightsFaculty of Mechanical Engineeringen_EN
dc.sourceISBN 978-963-279-686-4en_EN
dc.subjectshape optimizationen_EN
dc.subjecttopology optimizationen_EN
dc.subjectsensitivity analysisen_EN
dc.subjectDesign of Experimentsen_EN
dc.subjectengineering optimizationen_EN
dc.subjectrobust designen_EN
dc.subjectoptimization of production processesen_EN
dc.subjectconstrained optimizationen_EN
dc.subjectgradient methodsen_EN
dc.subjectmultiobjective optimizationen_EN
dc.subjectevolutionary optimization methodsen_EN
dc.titleEngineering optimizationen_EN
dc.typetexten_EN
dtk.firEngineering Scienceen_EN
dtk.oecd02. Engineering and technology::02.03. Mechanical engineeringen_EN
dtk.playerpdfplayeren_EN
dtk.purchaseTÁMOP-4.1.2-08/2/A/KMR-2009-0029 Budapesti Műszaki és Gazdaságtudományi Egyetemen_EN
dtk.size225 pen_EN
dtk.subtitlecourse bulletinen_EN
dtk.typebooken_EN
dtk.udc---- MAIN TABLES::0 SCIENCE AND KNOWLEDGE. ORGANIZATION. COMPUTER SCIENCE. INFORMATION. DOCUMENTATION. LIBRARIANSHIP. INSTITUTIONS. PUBLICATIONS::006 Standardization of products, operations, weights, measures and time::62 Engineering. Technology in generalen_EN
dtk.udc---- MAIN TABLES::0 SCIENCE AND KNOWLEDGE. ORGANIZATION. COMPUTER SCIENCE. INFORMATION. DOCUMENTATION. LIBRARIANSHIP. INSTITUTIONS. PUBLICATIONS::006 Standardization of products, operations, weights, measures and time::62 Engineering. Technology in general::621 Mechanical engineering in general. Nuclear technology. Electrical engineering. Machineryen_EN


A dokumentumhoz tartozó fájlok

Thumbnail

A dokumentum a következő gyűjtemény(ek)ben található meg

Rövidített megjelenítés