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020 _a9783030694722
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024 7 _a10.1007/978-3-030-69472-2
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072 7 _aTGP
_2bicssc
072 7 _aTEC009060
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072 7 _aTGP
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082 0 4 _a670
_223
245 1 0 _aExperiments and Simulations in Advanced Manufacturing
_h[electronic resource] /
_cedited by Panagiotis Kyratsis, J. Paulo Davim.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXIV, 279 p. 200 illus., 168 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMaterials Forming, Machining and Tribology,
_x2195-092X
505 0 _aChapter 1. Energy efficient machining through evolutionary real-time optimization of cutting conditions on CNC-milling controllers -- Chapter 2. Modeling and Experimental Work on Electrical Discharge Machining -- Chapter 3. Simulations and Experiments in Single Point Incremental Forming Process -- Chapter 4. Designing novel synthetic grafts for large bone defects: experimental and numerical studies -- Chapter 5. CAD software integration with programming tools for modelling, measurement and verification of surfaces -- Chapter 6. Experimental investigation of process parameters effect on laser engraving process quality -- Chapter 7. The Effects of 3D Printing Structural Modelling on Compression Properties for Material Jetting and FDM Process -- Chapter 8. Atomistic Modelling of Nanocutting Processes -- Chapter 9. Advanced Manufacturing of the Holes by Controlled Texture -- Chapter 10. Parametric study of Electro discharge boring of Inconel 718 with radial tool movement using Taguchi Method.
520 _aThis book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 1 4 _aIndustrial and Production Engineering.
_931644
700 1 _aKyratsis, Panagiotis.
_eeditor.
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700 1 _aDavim, J. Paulo.
_eeditor.
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_914567
710 2 _aSpringerLink (Online service)
_949223
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030694715
776 0 8 _iPrinted edition:
_z9783030694739
776 0 8 _iPrinted edition:
_z9783030694746
830 0 _aMaterials Forming, Machining and Tribology,
_x2195-092X
_949224
856 4 0 _uhttps://doi.org/10.1007/978-3-030-69472-2
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