Tapered Beams in Mems: A Symbolic Modeling Framework with Applications to Energy Harvesting

Syed, Wajih U., Elfadel

Tapered Beams in Mems: A Symbolic Modeling Framework with Applications to Energy Harvesting
  • 出版商: Springer
  • 出版日期: 2024-10-19
  • 售價: $4,040
  • 貴賓價: 9.5 折 $3,838
  • 語言: 英文
  • 頁數: 236
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303166390X
  • ISBN-13: 9783031663901

    • 海外代購書籍(需單獨結帳)

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商品描述

This book addresses important aspects of MEMS designs that are well established in engineering practice but rarely discussed in the standard textbooks. One such aspect is the ubiquitous use of tapered beams in the sensing and actuation elements of MEMS designs. As explained in this book, the tapered beam has distinct advantages over the standard rectangular beam but these advantages are often left unarticulated due to the blind trust in the finite-element models of MEMS devices. In this monograph, the authors take a fundamental, physics-based approach to the modeling of tapered beams in MEMS that is based on a rigorous perturbation analysis of the traditional Euler-Bernoulli beam. The authors demonstrate how perturbation methods combined with symbolic modeling and the tools of computer algebra enable the development of semi-analytical models for tapered-beam MEMS elements. They pay particular attention to the application of these novel models to piezoelectric MEMS energy harvesters with tapered-beam elements, including the development of lumped-parameter circuit models that can be readily used for fast electro-mechanical simulations. Another important aspect of MEMS designs that is extensively addressed in the book is the uncertainty quantification (UQ) of tapered-beam MEMS elements using both Monte Carlo and polynomial chaos expansion methods. These UQ methods are applied to the design of variation-aware piezoelectric energy harvesters. With consistent focus on MEMS devices with tapered beam elements, this up-to-date monograph

商品描述(中文翻譯)

本書探討了在工程實踐中已經確立但在標準教科書中鮮少討論的MEMS設計的重要方面。其中一個方面是錐形梁在MEMS設計的感測和驅動元件中的普遍使用。如本書所述，錐形梁相較於標準矩形梁具有明顯的優勢，但由於對MEMS設備的有限元素模型的盲目信任，這些優勢往往未被清楚表達。在這本專著中，作者採取了一種基於物理的基本方法來建模MEMS中的錐形梁，這一方法基於對傳統歐拉-伯努利梁的嚴格擾動分析。作者展示了擾動方法如何結合符號建模和計算代數工具，使得能夠為錐形梁MEMS元件開發半解析模型。他們特別關注這些新模型在具有錐形梁元件的壓電MEMS能量收集器中的應用，包括開發可以快速進行電機模擬的集中參數電路模型。本書還廣泛探討了MEMS設計的另一個重要方面，即使用蒙地卡羅和多項式混沌擴展方法對錐形梁MEMS元件進行不確定性量化（UQ）。這些UQ方法應用於設計考慮變異的壓電能量收集器。本專著持續關注具有錐形梁元件的MEMS設備，內容更新且具前瞻性。

作者簡介

Wajih U. Syed serves as algorithms lead at Masimo Corporation in Irvine, CA, where he has been developing solutions for clinical monitoring, disease tracking, and early warning systems in healthcare since January 2019. Previously, he worked as a Post-Doctoral Fellow at Khalifa University from 2017 to 2018, contributing to the design and characterization of MEMS devices, including space-grade gyroscopes. His research interests span mathematical modeling of multi-physics systems, MEMS modeling and design, and the development of medical instrumentation and AI-powered disease prediction solutions. He earned his Ph.D. from Khalifa University in June 2017.

Ibrahim (Abe) M. Elfadel has been full Professor at Khalifa University, Abu Dhabi, United Arab Emirates, where he has been affiliated with various academic departments and research centers since 2011. Prior to his current position, he was with IBM, Yorktown Heights, NY, for 15 years as Research Staff Member and Senior Scientist involved in the research, development, and deployment of VLSI CAD tools and methodologies for IBM's high-end microprocessors. Between 2012 and 2019, he led three Abu Dhabi-based, industrially funded research centers dedicated to IoT, 3D Integration, and MEMS. Dr. Elfadel is the recipient of six Invention Achievement Awards, one Outstanding Technical Achievement Award, and one Research Division Award, all from IBM, for his contributions to VLSI CAD. His other awards include the D. O. Pederson Best Paper Award from the IEEE Transactions on Computer-Aided Design (2014), the SRC Board of Directors Special Award for "pioneering semiconductor research in Abu Dhabi" (2018), the IFIP Service Award (2022), and the Khalifa University Service Excellence Award (2023). Dr. Elfadel is the author of more than 170 refereed publications and the inventor of more than 50 issued US patents. His most recent book is: "Secure, Low-power IoT Communication Using Edge-Coded Signaling," Springer, 2022, co-authored with Dr. Shahzad Muzaffar from IMEC. Dr. Elfadel is an Associate Editor of the IEEE Transactions on Circuits and Systems for Artificial Intelligence and the IEEE Transactions on VLSI. He is also the founding Editor in Chief of the SpringerNature series: "Synthesis Lectures on Circuits and Systems for Artificial Intelligence." Dr. Elfadel has served on the technical program committees of several flagship conferences, including DAC, ICCAD, ASPDAC, DATE, ISCAS, AICAS, BioCAS, VLSI-SoC, ICCD, ICECS, and MWSCAS. He was the General Co-chair of VLSI-SoC 2017, and the Technical Program Co-chair of VLSI-SoC 2023 and AICAS 2023. He is the Technical Program Co-chair of BioCAS 2024 and the Technical Program Chair of CloudCom2024. Dr. Elfadel received his PhD from MIT in 1993.

作者簡介(中文翻譯)

Wajih U. Syed 擔任 Masimo Corporation 在加州爾灣的算法負責人，自 2019 年 1 月以來，他一直在開發臨床監測、疾病追蹤和醫療保健早期警示系統的解決方案。在此之前，他於 2017 年至 2018 年在哈里發大學擔任博士後研究員，參與設計和特性化 MEMS 設備，包括太空級陀螺儀。他的研究興趣涵蓋多物理系統的數學建模、MEMS 建模與設計，以及醫療儀器和 AI 驅動的疾病預測解決方案的開發。他於 2017 年 6 月獲得哈里發大學的博士學位。

Ibrahim (Abe) M. Elfadel 自 2011 年以來一直擔任阿布達比哈里發大學的正教授，並與多個學術部門和研究中心有關聯。在目前的職位之前，他在 IBM 的紐約約克鎮工作了 15 年，擔任研究人員和高級科學家，參與 IBM 高端微處理器的 VLSI CAD 工具和方法的研究、開發和部署。2012 年至 2019 年間，他領導了三個位於阿布達比的工業資助研究中心，專注於物聯網、3D 整合和 MEMS。Elfadel 博士因其對 VLSI CAD 的貢獻而獲得六項發明成就獎、一項卓越技術成就獎和一項研究部門獎，均來自 IBM。他的其他獎項包括 2014 年 IEEE Transactions on Computer-Aided Design 的 D. O. Pederson 最佳論文獎、2018 年 SRC 董事會特別獎以表彰「在阿布達比開創半導體研究」、2022 年 IFIP 服務獎和 2023 年哈里發大學服務卓越獎。Elfadel 博士是 170 余篇經審核的出版物的作者，並擁有超過 50 項已授權的美國專利。他最近的著作是與 IMEC 的 Shahzad Muzaffar 博士合著的《Secure, Low-power IoT Communication Using Edge-Coded Signaling》，由 Springer 於 2022 年出版。Elfadel 博士是 IEEE Transactions on Circuits and Systems for Artificial Intelligence 和 IEEE Transactions on VLSI 的副編輯。他還是 SpringerNature 系列《Synthesis Lectures on Circuits and Systems for Artificial Intelligence》的創始主編。Elfadel 博士曾在多個重要會議的技術程序委員會中任職，包括 DAC、ICCAD、ASPDAC、DATE、ISCAS、AICAS、BioCAS、VLSI-SoC、ICCD、ICECS 和 MWSCAS。他是 VLSI-SoC 2017 的總共主席，以及 VLSI-SoC 2023 和 AICAS 2023 的技術程序共同主席。他是 BioCAS 2024 的技術程序共同主席和 CloudCom 2024 的技術程序主席。Elfadel 博士於 1993 年獲得麻省理工學院的博士學位。

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