Jürgen Fleischer

ORCID: 0000-0003-0961-7675
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About
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Research Areas
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Advanced machining processes and optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Digital Transformation in Industry
  • Advanced Measurement and Metrology Techniques
  • Advanced Surface Polishing Techniques
  • Industrial Vision Systems and Defect Detection
  • Metal Forming Simulation Techniques
  • Electric Motor Design and Analysis
  • Advanced Battery Technologies Research
  • Engineering and Materials Science Studies
  • Advanced Machining and Optimization Techniques
  • Engineering Technology and Methodologies
  • Injection Molding Process and Properties
  • Metallurgy and Material Forming
  • Mechanical Behavior of Composites
  • Recycling and Waste Management Techniques
  • Extraction and Separation Processes
  • Physics and Engineering Research Articles
  • Corporate Governance and Management
  • Innovations in Concrete and Construction Materials
  • Advanced Manufacturing and Logistics Optimization
  • Gear and Bearing Dynamics Analysis
  • Magnetic Bearings and Levitation Dynamics

Karlsruhe Institute of Technology
2016-2025

Energy Storage Systems (United States)
2023

Florida International University
2023

Walter de Gruyter (Germany)
2022

Japan Science and Technology Agency
2022

Naver (South Korea)
2022

Karlsruhe University of Education
2012-2021

Tongji University
2014-2021

Analytisches Laboratorium
1974-2020

Helios Dr. Horst Schmidt Kliniken Wiesbaden
2011

This review draws on a systematic literature and bibliometric analysis to examine how Digital Twins (DTs), Extended Reality (XR), Artificial Intelligence (AI) support the reconfiguration of Cyber–Physical Systems (CPSs) in modern manufacturing. The aims provide an updated overview these technologies’ roles CPS reconfiguration, summarize best practices, suggest future research directions. In two-phase process, we first analyzed related work assess current state assisted manufacturing identify...

10.3390/su17052318 article EN Sustainability 2025-03-06

First additive manufacturing processes (AM) for the production of fiber reinforced plastics (FRP) have been developed, which use Fused Layer Modelling (FLM) by implementing fibers into matrix material prior to extruding or within nozzle. A method outside printing nozzle and thermoplastic filaments directly part while it is being manufactured has not yet analyzed properly. This study shows gain in tensile strength Young's modulus different implementation methods glass carbon on building platform.

10.1016/j.procir.2017.03.276 article EN Procedia CIRP 2017-01-01

Remanufacturing is commonly perceived as a promising field for future challenges such resource efficient production. For an economic operation of remanufacturing facilities, automation the currently manual labor mandatory. Thus, plays vital role in order to realize high rates re-utilization and therefore significant reduction waste. Screw connections allow non-destructive dismantling are used connection elements. Especially disassembly step key element products from unknown specification...

10.1016/j.procir.2022.02.001 article EN Procedia CIRP 2022-01-01

As the demand for energy storage is expanding rapidly, concerns have been raised about critical raw materials used in lithium-ion batteries. Post-lithium batteries potential to provide a more sustainable option by taking advantage of that are abundant and unrestricted supply chains. Sodium-ion one type currently most widely discussed candidate light approaching commercialization. The promising anode material commercial sodium-ion can be applied large quantities near future expected hard...

10.1016/j.est.2022.105964 article EN cc-by-nc-nd Journal of Energy Storage 2022-11-07

10.1016/j.jmatprotec.2004.02.012 article EN Journal of Materials Processing Technology 2004-04-09

This paper proposes a systematic approach for both, remanufacturable battery module and an automated remanufacturing station. In the beginning joints in are investigated categorized, followed by evaluation of alternatives. Based on evaluation, novel station presented. As result, it is possible to replace individual cell while maintaining integrity module, leading value added product that can be brought back market.

10.1016/j.promfg.2020.02.145 article EN Procedia Manufacturing 2020-01-01

An increase in the sales number of battery electric vehicles within last year can be recorded. At end-of-life these require a reliable disassembly for recycling or remanufacturing. On one hand, drivetrain components those contain valuable resources and thus are mainly relevant other automated especially motors Li-ion systems encloses major challenges. Especially high variants unknown specifications conditions challenging points system. Conventional provide limited flexibility adaptability...

10.1016/j.procir.2021.01.154 article EN Procedia CIRP 2021-01-01

Within this paper the initial steps for realisation of an agile automated system battery module disassembly will be presented. The state art modules need to analysed with regards their structure, components and relationship each other. In particular, key challenges in up cell level are identified classified order systematically derive requirements system. twofold: process-related product-related. variety can seen as a product-related challenge, while non-detachable joints combined hazards...

10.1016/j.procir.2021.01.071 article EN Procedia CIRP 2021-01-01

10.1007/s00170-006-0596-1 article EN The International Journal of Advanced Manufacturing Technology 2006-05-22
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