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AI-Based Prediction Of Energy Consumption In Dry Fiber Placement Processes

Sirsat, Hemant (2024) AI-Based Prediction Of Energy Consumption In Dry Fiber Placement Processes. DLR-Interner Bericht. DLR-IB-SY-SD-2024-215. Student thesis. TU Braunschweig. 69 S.

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Item URL in elib:https://elib.dlr.de/210446/
Document Type:Monograph (DLR-Interner Bericht, Student thesis)
Additional Information:Betreuer: Dr. Christoph Brauer
Title:AI-Based Prediction Of Energy Consumption In Dry Fiber Placement Processes
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sirsat, HemantTU BraunschweigUNSPECIFIEDUNSPECIFIED
Date:30 November 2024
Open Access:No
Number of Pages:69
Status:Published
Keywords:CFRP, composite materials, automated fiber placement, energy monitoring, energy consumption forecast, artificial intelligence, machine learning, neural networks, deep learning
Institution:TU Braunschweig
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Production Technologies
Location: Stade
Institutes and Institutions:Institut für Systemleichtbau > Production Technologies SD
Deposited By: Schlegel, Linda
Deposited On:18 Dec 2024 09:59
Last Modified:18 Dec 2024 09:59

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