Paper
30 December 2008 MEMS product engineering using fabrication process development tools
K. Hahn, T. Schmidt, D. Ortloff, J. Popp, A. Wagener, R. Brück
Author Affiliations +
Proceedings Volume 7269, Micro- and Nanotechnology: Materials, Processes, Packaging, and Systems IV; 72690W (2008) https://doi.org/10.1117/12.807705
Event: SPIE Smart Materials, Nano- and Micro-Smart Systems, 2008, Melbourne, Australia
Abstract
The development of MEMS devices differs substantially from product engineering methods used in more traditional industries. The approach is characterized by a close customer involvement and product specific fabrication processes. A large number interdependencies between device design on the one hand and manufacturing process development on the other hand make product engineering in the MEMS area a rather tedious and complicated task. In this paper we discuss a comprehensive customer-oriented MEMS product engineering methodology. Both MEMS design and fabrication process development are analyzed with regard to procedures and interfaces used in order to develop an appropriate CAD support either in terms of existing tools or by specifying individual tools to be implemented. The manufacturing process development is part of this holistic approach and is supported by a CAD environment for the management and the design of thin-film MEMS fabrication processes. This environment has been developed by the authors and became recently commercially available.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Hahn, T. Schmidt, D. Ortloff, J. Popp, A. Wagener, and R. Brück "MEMS product engineering using fabrication process development tools", Proc. SPIE 7269, Micro- and Nanotechnology: Materials, Processes, Packaging, and Systems IV, 72690W (30 December 2008); https://doi.org/10.1117/12.807705
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KEYWORDS
Microelectromechanical systems

Product engineering

Manufacturing

Computer aided design

Data modeling

Environmental management

Data processing

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