K
Klaus Schützer
Researcher at Methodist University
Publications - 47
Citations - 464
Klaus Schützer is an academic researcher from Methodist University. The author has contributed to research in topics: Machining & Factory (object-oriented programming). The author has an hindex of 11, co-authored 46 publications receiving 322 citations. Previous affiliations of Klaus Schützer include Universidade Federal do ABC & University of São Paulo.
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Book ChapterDOI
Digital Twin Requirements in the Context of Industry 4.0
Luiz Fernando C. S. Durão,Sebastian Haag,Reiner Anderl,Klaus Schützer,Eduardo de Senzi Zancul +4 more
TL;DR: An initial synthesis of DT requirements based on a literature review and industry interviews shows that DT requirements are related to real-time data, integration, and fidelity, and shows that industry requirements are close to literature and the actual implementation of DT is the future of research in this field.
Journal ArticleDOI
Additive manufacturing scenarios for distributed production of spare parts
Luiz Fernando C. S. Durão,Alexander Christ,Eduardo de Senzi Zancul,Reiner Anderl,Klaus Schützer +4 more
TL;DR: In this article, the authors characterize centralization and independence levels between a central factory and a distributed production site for the manufacturing of spare parts leveraging additive manufacturing as main production process and demonstrate the evolution of the independence level between the central factories and the distributed sites.
Journal ArticleDOI
Digital Twin Technology – An Approach for Industrie 4.0 Vertical and Horizontal Lifecycle Integration
TL;DR: This contribution explains major concepts of Industrie 4.0 and derives the role of digital twin technology, as well as the proposal to use the STEP-technology (Standard for the Exchange of Product Model Data, ISO 10303) as a fundamental basis for a comprehensivedigital twin technology.
Journal ArticleDOI
The influence of the manufacturing strategy on the production of molds and dies
TL;DR: In this article, the relationship between cutting strategies and the machining time and surface quality of the part was investigated. And the results considering time and the surface quality were compared with a test model representing surfaces found in mold and dies.
Journal ArticleDOI
Tool path adaption based on optical measurement data for milling with industrial robots
TL;DR: A method is presented to determine the resulting path deviation of the robot under process force by using a structured light scanner and the robot path is adapted to improve the machining quality.