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Design of Experiments in Production Engineering [electronic resource] / edited by J. Paulo Davim.

Contributor(s): Davim, J. Paulo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Management and Industrial Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: IX, 196 p. 61 illus., 7 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319238388.Subject(s): Industrial engineering | Production engineering | Manufactures | Production management | Operations research | Industrial and Production Engineering | Machines, Tools, Processes | Operations Management | Operations Research and Decision TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
Screening (sieve) design of experiments in metal cutting -- Modelling and optimisation of machining with the use of statistical methods and soft computing -- Design experiments, statistical and artificial intelligence analysis for the improvement of machining – a review -- A systematic approach to design of experiments in waterjet machining of high performance ceramics -- Response surface modeling of fractal dimension in WEDM -- Thrust force and torque mathematical models in drilling of Al7075 using the response surface methodology -- Design of experiments in titanium metal cutting research -- Parametric optimization of submerged arc welding using Taguchi method.
In: Springer Nature eBookSummary: This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.
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Screening (sieve) design of experiments in metal cutting -- Modelling and optimisation of machining with the use of statistical methods and soft computing -- Design experiments, statistical and artificial intelligence analysis for the improvement of machining – a review -- A systematic approach to design of experiments in waterjet machining of high performance ceramics -- Response surface modeling of fractal dimension in WEDM -- Thrust force and torque mathematical models in drilling of Al7075 using the response surface methodology -- Design of experiments in titanium metal cutting research -- Parametric optimization of submerged arc welding using Taguchi method.

This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

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