| 000 | 02431nam a22003015i 4500 | ||
|---|---|---|---|
| 001 | 401951 | ||
| 003 | DE-He213 | ||
| 005 | 20240514120035.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240123s2024 sz | o |||| 0|eng d | ||
| 020 | _a9783031484681 | ||
| 024 | 7 |
_a10.1007/978-3-031-48468-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aT55.4-60.8 _b2024 EB |
|
| 245 | 0 | 0 |
_aNotes for Manufacturing Instructors : _bFrom Class to Workshop _cedited by Diego Carou, J Paulo Davim |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2024 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aMaterials Forming, Machining and Tribology _x2195-092X |
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| 505 | 0 | _aIntroduction -- Design for sustainability -- Design for additive manufacturing -- Machining using -- Plastic injection simulation -- Conventional machining: turning, drilling or milling -- Non-conventional machining -- Powder metallurgy -- Metal forming -- Finishing processes -- Foundry -- Mechanical fastening -- Adhesive joining -- Welding processes -- Coordinate measuring machines methodologies -- Tolerancing -- Design of experiments -- Machine learning. | |
| 520 | _aThis book offers an extensive guide to the most engaging computer and laboratory sessions for teaching manufacturing engineering topics. It serves as a valuable resource for educators in planning their practical coursework. The book comprises 14 chapters covering a wide range of subjects, including design and simulations, various manufacturing processes such as additive manufacturing, injection molding, forming, machining, casting, and non-conventional machining, as well as process monitoring, metrology, and inspection using computed tomography. It also explores the application of methodologies like the design of experiments and machine learning. These contributions enable both lecturers and students to apply manufacturing engineering theory in real-world scenarios, drawing from the best practices developed in engineering institutions worldwide. . | ||
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Engineering_2024 | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-48468-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 999 |
_c401951 _d401951 |
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