Study on S-N Curve of High-Cycle Fatigue Prediction for MEMS Devices PDF Download
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Author: 張嘉誠
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: 張嘉誠
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Hans-Jürgen Christ
Publisher: Springer
ISBN: 365824531X
Category : Technology & Engineering
Languages : en
Pages : 624
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Book Description
This book represents the final reports of the scientific projects funded within the DFG-SPP1466 and, hence, provides the reader with the possibility to familiarize with the leading edge of VHCF research. It draws a balance on the existing knowledge and its enhancement by the joint research action of the priority program. Three different material classes are dealt with: structural metallic materials, long-fiber-reinforced polymers and materials used in micro-electro-mechanical systems. The project topics address the development of suitable experimental techniques for high-frequency testing and damage monitoring, the characterization of damage mechanisms and damage evolution, the development of mechanism-based models and the transfer of the obtained knowledge and understanding into engineering regulations and applications.
Author: K. Rodney Carroll
Publisher:
ISBN:
Category :
Languages : en
Pages : 108
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Author: Straub, Thomas
Publisher: KIT Scientific Publishing
ISBN: 3731504715
Category : Technology (General)
Languages : en
Pages : 234
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Book Description
This book investigates the fatigue mechanisms and crack initiation of Ni, Al and Cu on a small-scale in the Very High Cycle Fatigue regime by means of innovative fatigue experimentation. A novel custom-built resonant fatigue setup showed that the sample resonant frequency changes with increasing cycle number due to fatigue damage. Mechanisms such as slip band formation have been observed. Cyclic hardening, vacancy and oxidation formation may be considered as early fatigue mechanisms.
Author: Allyson L. Hartzell
Publisher: Springer Science & Business Media
ISBN: 144196018X
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
The successful launch of viable MEMs product hinges on MEMS reliability, the reliability and qualification for MEMs based products is not widely understood. Companies that have a deep understanding of MEMs reliability view the information as a competitive advantage and are reluctant to share it. MEMs Reliability, focuses on the reliability and manufacturability of MEMS at a fundamental level by addressing process development and characterization, material property characterization, failure mechanisms and physics of failure (POF), design strategies for improving yield, design for reliability (DFR), packaging and testing.
Author: Chang-Shui Tsui
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
Author: Dino Anthony Celli
Publisher:
ISBN:
Category : Additive manufacturing
Languages : en
Pages : 0
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Book Description
The fatigue life prediction framework developed and described in the proceeding chapters can concurrently approximate both typical stress versus cycle (SN) behavior as well as the inherent variability of fatigue using a limited amount of experimental data. The purpose of such a tool is for the rapid verification and quality assessment of cyclically loaded components with a limited knowledge-base or available fatigue data in the literature. This is motivated by the novelty of additive manufacturing (AM) processes and the necessity of part-specific structural assessment. Interest in AM technology is continually growing in many industries such as aerospace, automotive, or bio-medical but components often result in highly variable fatigue performance. The determination of optimal process parameters for the build process can be an extensive and costly endeavor due to either a limited knowledge-base or proprietary restrictions. Quantifying the significant variability of fatigue performance in AM components is a challenging task as there are many underlying causes including machine-to-machine differences, recycles of powder, and process parameter selection. Therefore, a life prediction method which can rapidly determine the fatigue performance of a material with little or no prior information of the material and a limited number of experimental tests is developed as an aid in AM process parameter optimization and fatigue performance qualification. Predicting fatigue life requires the use of a previously developed and simplistic energy-based method, or Two-Point method, to generate a collection of life predictions. Then the collected life predictions are used to approximate key statistical descriptions of SN fatigue behavior. The approximated fatigue life distributions are validated against an experimentally found population of SN data at 10^4 and 10^6 cycles failure describing low cycle and high cycle fatigue. A Monte Carlo method is employed to model fatigue life by first modeling SN distributions at discrete stress amplitudes using the predicted fatigue life curves. Then the distributions are randomly sampled and a life prediction model is obtained. The approach is verified by using Aluminum 6061 data due to ample material characterization and previous life prediction analysis available in literature. SN life prediction is modeled via a Random Fatigue Limit (RFL) model using least square regression to determine the model coefficients. The life prediction framework is further developed by incorporating Bayesian statistical inference and stochastic sampling techniques to estimate the RFL model parameters. In addition, digital image correlation (DIC) is leveraged during experimentation to collect hysteresis energy as a novel method to monitor hysteresis strain energy or the assumed critical damage variable. Fatigue life prediction is performed in a dynamic way such that the life prediction model is continually updated with the generation of experimental data. The life prediction framework is applied to conventional Aluminum 6061-T6 and AM Inconel 718 and Titanium 6Al-4V. The framework is validated for life prediction and forecasting SN high cycle fatigue behavior using only low cycle fatigue data. The culmination of this work enables the rapid characterization of fatigue of AM materials by concurrently approximating the variation of fatigue life as well as high cycle fatigue behavior with low cycle fatigue data. The benefit of this framework is the significant reduction in experimental testing time, effort, and cost necessary to accurately assess the fatigue behavior of materials with limited prior information and specimen availability, such as in the case with AM Alloys.
Author: Osamu Tabata
Publisher: John Wiley & Sons
ISBN: 9783527314942
Category : Technology & Engineering
Languages : en
Pages : 328
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Book Description
This first book to cover exclusively and in detail the principles, tools and methods for determining the reliability of microelectromechanical materials, components and devices covers both component materials as well as entire MEMS devices. Divided into two major parts, following a general introductory chapter to reliability issues, the first part looks at the mechanical properties of the materials used in MEMS, explaining in detail the necessary measuring technologies -- nanoindenters, bulge methods, bending tests, tensile tests, and others. Part Two treats the actual devices, organized by important device categories such as pressure sensors, inertial sensors, RF MEMS, and optical MEMS.
Author: Victor M. Bright
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Microelectromechanical systems
Languages : en
Pages : 654
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Book Description
A selection of 81 papers on six major topics within the field of optical microelectromechanical systems (MEMS).
Author: Mark Robinson
Publisher: Elsevier
ISBN: 1845697022
Category : Technology & Engineering
Languages : en
Pages : 125
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Book Description
Fatigue is a major issue affecting safety and quality of service in the railway industry. This book reviews key aspects of this important subject. It begins by providing an overview of the subject, discussing fatigue at the wheel-rail interface and in other aspects of infrastructure. It then considers fatigue in railway and tramway track, looking at causes of potential failure in such areas as rails and fixings as well as sleepers. It also reviews failure points in structures such as embankments and cuttings. The book analyses fatigue in railway bridges, looking in particular at masonry arch bridges as well as metal and concrete bridges. Two final chapters review safety and reliability issues affecting escalators and lifts.Fatigue in railway infrastructure is a helpful reference for those in the railway industry responsible for infrastructure maintenance as well as those researching this important subject. - Provides a concise review of fatigue in the railway infrastructure - Examines the causes of potential failure in rails, fixings and sleepers - Analyses fatigue in railway bridges including masonry arch, metal and concrete structures
