Structural design of high-performance capacitive accelerometers using parametric optimization with uncertainties. Issue 3 (4th March 2017)

• Record Type: Journal Article
• Authors: Teves, André da Costa; Lima, Cícero Ribeiro de; Passaro, Angelo; Silva, Emílio Carlos Nelli
• Is Part Of: Engineering optimization. Volume 49:Issue 3(2017)
• Page Start: 365
• Page End: 380
• Publication Date: 2017-03-04
• Subjects: Bulk-type capacitive accelerometers -- MEMS -- optimization -- robust design -- reliability; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1187975
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Electrostatic or capacitive accelerometers are among the highest volume microelectromechanical systems (MEMS) products nowadays. The design of such devices is a complex task, since they depend on many performance requirements, which are often conflicting. Therefore, optimization techniques are often used in the design stage of these MEMS devices. Because of problems with reliability, the technology of MEMS is not yet well established. Thus, in this work, size optimization is combined with the reliability-based design optimization (RBDO) method to improve the performance of accelerometers. To account for uncertainties in the dimensions and material properties of these devices, the first order reliability method is applied to calculate the probabilities involved in the RBDO formulation. Practical examples of bulk-type capacitive accelerometer designs are presented and discussed to evaluate the potential of the implemented RBDO solver.