Impact of Cyber-physically enhanced manufacturing on the product requirement documentation in high-tech applications

[1]  J. Ciurana,et al.  Surface Roughness Generation and Material Removal Rate in Ball End Milling Operations , 2010 .

[2]  Qiang Liu,et al.  Real-time machining data application and service based on IMT digital twin , 2019, Journal of Intelligent Manufacturing.

[3]  Welf-Guntram Drossel,et al.  Performance of a new piezoceramic thick film sensor for measurement and control of cutting forces during milling , 2018 .

[4]  Alexander Fay,et al.  Information Model of a Digital Process Twin for Machining Processes , 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

[5]  M. Bavdaz,et al.  Novel local shielding approach for the laser welding based additive manufacturing of large structural space components from titanium , 2020 .

[6]  Gábor Stépán,et al.  SURFACE PROPERTIES OF THE MACHINED WORKPIECE FOR HELICAL MILLS , 2009 .

[7]  Yinle Zhou,et al.  ISO Data Quality Standards for Master Data , 2015 .

[8]  Xun Xu,et al.  Cyber-physical Machine Tool – The Era of Machine Tool 4.0☆ , 2017 .

[9]  Julius Pfrommer,et al.  Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[10]  Arvid Hellmich,et al.  A NEW GENERATION OF PRODUCTION WITH CYBER-PHYSICAL SYSTEMS – ENABLING THE BIOLOGICAL TRANSFORMATION IN MANUFACTURING , 2019, Journal of Machine Engineering.

[11]  Mohd Javaid,et al.  Industry 4.0 applications in medical field: A brief review , 2019, Current Medicine Research and Practice.

[12]  S. Ihlenfeldt,et al.  Towards safe service ecosystems for production for value networks and manufacturing monitoring , 2020 .

[13]  Christian Brecher,et al.  Interaction of manufacturing process and machine tool , 2009 .

[14]  C. Leyens,et al.  Enhanced manufacturing possibilities using multi-materials in laser metal deposition , 2018, Journal of Laser Applications.

[15]  Gabor Karsai,et al.  Toward a Science of Cyber–Physical System Integration , 2012, Proceedings of the IEEE.

[16]  Steffen Ihlenfeldt,et al.  DMME: Data mining methodology for engineering applications – a holistic extension to the CRISP-DM model , 2019, Procedia CIRP.

[17]  C. Leyens,et al.  Intrinsic Heat Treatment Within Additive Manufacturing of Gamma Titanium Aluminide Space Hardware , 2019, JOM.

[18]  Maximilien Collon,et al.  The ATHENA telescope and optics status , 2017, Optical Engineering + Applications.

[19]  Alexander Brosius,et al.  DEVELOPMENT OF A METHOD TO DETERMINE CUTTING FORCES BASED ON PLANNING AND PROCESS DATA AS CONTRIBUTION FOR THE CREATION OF DIGITAL PROCESS TWINS , 2019, MM Science Journal.