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  • CIRP Novel Topics in Production Engineering: Volume 2

    CIRP Novel Topics in Production Engineering: Volume 2 by Tolio, Tullio;

    Series: Lecture Notes in Mechanical Engineering;

      • GET 20% OFF

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      • Publisher's listprice EUR 181.89
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        75 438 Ft (71 846 Ft + 5% VAT)
      • Discount 20% (cc. 15 088 Ft off)
      • Discounted price 60 351 Ft (57 477 Ft + 5% VAT)

    75 438 Ft

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    Long description:

    This book provides focused and structured knowledge of a defined and limited subject in terms of detailed implementation, a systematic description of theoretical hypotheses and results, constructive and design characteristics for a product/process or experiment, and exemplary applications to real cases. This is the second volume in the CIRP Novel Topics in Production Engineering (CNTPE), a collection of essays addressing novel research areas in production engineering, published regularly in book volumes. Each essay provides a systematization and explanation of a technology, an approach, a process, etc., and covers a novel research area once it has been published in the scientific literature for a few years. These constitute the background knowledge for scientists/professionals to approach a novel scientific and technological area—addressing background concepts, relevant tools and methodologies, language, and theory.

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    Table of Contents:

    Part 1: STC A - Life cycle engineering and assembly.- Technical language processing in manufacturing applications.- Part 2: STC F – Forming.- Towards “First-Time-Right” production in metal forming processes.- Part 3: STC M – Machines.- Bayesian inference for milling stability modelling.- Part 4: STC O - Production systems and organizations.- A modular framework for implementing release control policies in discrete-event simulation models.

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