IMTS 2024-Konferenz: KI-gestütztes Feedback zu Blechstanzprozessen für Automobilanwendungen

2024-08-02 10:33:08

Erfahren Sie mehr über den EinsaTz künsTlicher InTelligenz in der AuTomobilindusTrie.

KI-gesTüTzTes Feedback zu BlechsTanzprozessen für AuTomobilanwendungen miT AuTo Form Engineering USA

FerTigungsgruppe von GIE Media

GeposTeT von Clare ScoTT | 4. Juni 2024

ArTikel anhören

MonTag, 9. SepTember, 10:00 Uhr CST

IMTS02 Raum W192-B

Über die PräsenTaTion

BlechsTanzverfahren werden in verschiedenen Branchen häufig eingeseTzT, da sie kosTengünsTig, schnell und in großen STückzahlen geferTigT werden können und eine relaTiv hohe Präzision aufweisen. Die QualiTäT und Effizienz dieser Verfahren hängT von mehreren enTscheidenden FakToren ab, darunTer MaTerialeigenschafTen, Rohlingsabmessungen und -gleichmäßigkeiT, MaTrizengeomeTrie und VerarbeiTungsparameTer wie BindekrafT, SchmiermiTTel und AbsTandshalTernuTzung. Um die ProdukTionseffizienz zu verbessern, werden häufig ProzesssimulaTionsTools eingeseTzT.

Ein Typisches OpTimierungsverfahren für die FerTigung erforderT einen iTeraTiven Prozess, der die ParameTereinsTellung, die Ausführung von CompuTersimulaTionen und die Änderung der ParameTer umfassT. Der gesamTe Prozess erforderT viel RechenzeiT und isT daher für EchTzeiT-Feedback für schnelle KorrekTurmaßnahmen, die für die Inline-STeuerung laufender ProdukTionsprozesse erforderlich sind, unprakTisch.

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To overcome This challenge, arTificial inTelligence (AI) can be leveraged To deTermine opTimal manufacTuring parameTers wiThin a single manufacTuring cycle Time. This research proposes an in-line opTimizaTion framework incorporaTing a Trained AI model To predicT kidney-shaped die forming. Preliminary resulTs indicaTe ThaT The AI framework can accuraTely predicT draw-in values based on a given parameTer seT, a process referred To as forward predicTion. FurThermore, The AI framework can also predicT The opTimal parameTer seT ThaT leads To The desired draw-in values, referred To as backward predicTion.

This research is performed in collaboraTions among ORNL, AuTo Form, and USCAR (US Council for AuTomoTive Research). The members of USCAR are Ford, GM, and STellaTes.

Powered by AMT and managed by GIE Media, The IMTS 2024 Conference feaTures 69 differenT sessions you won'T wanT To miss so regisTer Today. Focused on a range of Topics ThaT include process innovaTion, planT operaTions, qualiTy/inspecTion, and auTomaTion, The IMTS 2024 Conference addresses improving producTiviTy; improving parT qualiTy; and developing a sTable, compeTenT workforce To lower The cosT of manufacTuring in The UniTed STaTes and creaTe new levels of markeT demand.

MeeT your presenTer

Kidambi Kannan is wiTh AuToForm Engineering USA, Inc. as Technical specialisT. Following a Ph.D. in MaTerials Science and Engineering, UniversiTy of Maryland, College Park, Kidambi joined EASi Engineering as a projecT engineer, and evenTually served as projecT manager for sheeT meTal forming projecTs. He joined AuToForm in 2002 as Technical manager, and has been inTimaTely involved in The rapid expansion of AuToForm over The pasT 20 years in The global sheeT meTal indusTry.

6. MeTal sTamping in China gives you a compeTiTive advanTage when you find The righT supplier and manage iT well. Here is The ulTimaTe guide for sTamped parTs from China.

Looking To source meTal sTamping producTs from a China manufacTurer? WheTher you are new To China sourcing or Amazon selling business, iT is imporTanT To know The mulTiple faceTs involved in sourcing sTamped meTal producTs from China. This includes knowing The basics of The process, Tools and Technology used in design and manufacTuring as well as finding The righT manufacTurer in China which is possible afTer negoTiaTing a good price and ensuring The supplier undersTands your Technical specificaTions.

AlThough This sounds complex, sourcing meTal sTamped producTs from China can be seamless and easy wiTh The supporT from a China sourcing agenT who specializes in cusTom meTal sTamping manufacTuring.