Journal: Lecture Notes in Production Engineering

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Publisher

Springer

Journal Volumes

ISSN

2194-0525

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Publications 1 - 3 of 3
  • Relea, Eduard; Weiss, Lukas; Wegener, Konrad (2023)
    Lecture Notes in Production Engineering ~ Smart, Sustainable Manufacturing in an Ever-Changing World
    Precision machinery employs a variety of materials for their structures: cast iron, welded steel, natural stone, ultra-high performance concrete (UHPC), and mineral cast (MC). Mineral cast is a composite material with an epoxy matrix and various aggregates as a filler, and has been successfully employed for precision machinery structures for over 30 years. For this work, mineral cast specimens were tested by completely immersing them in fluids, so that the conditions to which mineral cast is exposed during the operating conditions of the precision machinery can be simulated. Test specimens with standard dimensions of 80 × 80 × 400 mm were first immersed in demineralized water or grinding oil for 900 h and then dried for 800 h in a climate test chamber at constant ambient conditions of 20 °C and 50% air relative humidity. The change in length of the mineral cast specimens during the drying period was recorded. The shrinkage of the samples was measured by the difference in the length of the samples before and after the drying process. The water and grinding oil soaking tests show that their influence must be considered in case of high-precision applications, as their effects could be directly comparable to minor thermal variations.
  • Mechatronic Machine Elements
    Item type: Conference Paper
    Stücheli, Marius; Meboldt, Mirko (2013)
    Lecture Notes in Production Engineering ~ Smart Product Engineering : Proceedings of the 23rd CIRP Design Conference, Bochum, Germany, March 11th - 13th, 2013
  • Gittler, Thomas; Plümke, Lasse; Silani, Francesco; et al. (2023)
    Lecture Notes in Production Engineering ~ Smart, Sustainable Manufacturing in an Ever-Changing World
    Production enterprises increasingly revert to digitization and data to gain insights and transparency in manufacturing environments. With the growing adoption of the Industrie 4.0 paradigm, the digital transformation of factories is in full swing. IIoT platforms, production management and manufacturing execution systems are installed in more and more production plants, which requires costly acquisition and customization. A significant number of implementation projects fail in intermediate or late stages due to disregard of master data and movement data design. Master data design implies intricate shop floor process reengineering, whereas movement data design relates to a data-centric approach between systems and process engineering. This study proposes a framework for the digital transformation of manufacturing systems from a data-centric engineering perspective. It specifically considers data-related pitfalls and their avoidance for digitization initiatives, and proposes a multi-step approach to align digital transformation projects with their expected benefits during design, development and implementation. It is intended to support, challenge and guide practitioners for the initiation and execution of digital manufacturing excellence.
Publications 1 - 3 of 3