This paper deals with the amplitude-frequency response of parametric resonance of electrostatically actuated Bio-MEMS circular membrane resonators. The system consists of a flexible clamped circular membrane over a parallel fixed ground plate. Between the membrane and the ground plate is an alternating current (AC) voltage. The magnitude of the AC voltage is in the range of soft excitation. The AC frequency used to actuate the Bio-MEMS is near the first natural frequency of the membrane. Since the electrostatic force is proportional to the square of the voltage, this actuation leads to parametric resonance of Bio-MEMS circular membranes. The equation of motion includes Casimir and Van deer Waals forces. Two methods of investigation are utilized in this paper, the method of multiple scales (MMS), and the reduced order model (ROM). They are used to analytically and numerically solve the differential equations of motion for amplitude-frequency response of Bio-MEMS membrane resonators. The effects of Casimir force, Van der Waals force, voltage, and damping on the amplitude-frequency response of the system are also reported. The results show that the increase of Casimir and Van der Waals parameters increase the softening effect of the response, i.e., the response shifts towards lower frequencies and amplitudes. The results also showed that an increase in the damping parameter decreased the escape band of the response, while increasing the voltage parameter had the opposite effect increasing the size of the escape band.
{"title":"Frequency Response of Parametric Resonance of Electrostatically Actuated Bio-MEMS Circular Membranes","authors":"Marcos Alipi, D. Caruntu","doi":"10.1115/detc2022-91044","DOIUrl":"https://doi.org/10.1115/detc2022-91044","url":null,"abstract":"\u0000 This paper deals with the amplitude-frequency response of parametric resonance of electrostatically actuated Bio-MEMS circular membrane resonators. The system consists of a flexible clamped circular membrane over a parallel fixed ground plate. Between the membrane and the ground plate is an alternating current (AC) voltage. The magnitude of the AC voltage is in the range of soft excitation. The AC frequency used to actuate the Bio-MEMS is near the first natural frequency of the membrane. Since the electrostatic force is proportional to the square of the voltage, this actuation leads to parametric resonance of Bio-MEMS circular membranes. The equation of motion includes Casimir and Van deer Waals forces. Two methods of investigation are utilized in this paper, the method of multiple scales (MMS), and the reduced order model (ROM). They are used to analytically and numerically solve the differential equations of motion for amplitude-frequency response of Bio-MEMS membrane resonators. The effects of Casimir force, Van der Waals force, voltage, and damping on the amplitude-frequency response of the system are also reported. The results show that the increase of Casimir and Van der Waals parameters increase the softening effect of the response, i.e., the response shifts towards lower frequencies and amplitudes. The results also showed that an increase in the damping parameter decreased the escape band of the response, while increasing the voltage parameter had the opposite effect increasing the size of the escape band.","PeriodicalId":325425,"journal":{"name":"Volume 8: 16th International Conference on Micro- and Nanosystems (MNS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Pagano, V. Basile, R. Surace, R. Terzi, M. Schioppa, B. Palazzo, I. Fassi
Hybrid polymer composites are very promising for applications in a wide variety of sectors, such as automotive, aerospace, robotics, energy and construction. These materials consist of a polymer matrix and two or more fillers, which synergically interact resulting in enhanced specific properties and performance. Among hybrid polymer composites, those based on carbon fibers reinforced poly(ether ether ketone) (C-PEEK) are gaining a primary role for their excellent mechanical and chemical properties; zirconium oxide (ZrO2) nanoparticles can further enhance these properties, improving also the wear resistance. In this paper, a new hybrid C-PEEK+ZrO2 composite has been studied and its mechanical properties compared with its reference composite C-PEEK.
{"title":"Carbon/PEEK/Zirconia Hybrid Composite for High-Performance Applications","authors":"C. Pagano, V. Basile, R. Surace, R. Terzi, M. Schioppa, B. Palazzo, I. Fassi","doi":"10.1115/detc2022-89906","DOIUrl":"https://doi.org/10.1115/detc2022-89906","url":null,"abstract":"\u0000 Hybrid polymer composites are very promising for applications in a wide variety of sectors, such as automotive, aerospace, robotics, energy and construction. These materials consist of a polymer matrix and two or more fillers, which synergically interact resulting in enhanced specific properties and performance. Among hybrid polymer composites, those based on carbon fibers reinforced poly(ether ether ketone) (C-PEEK) are gaining a primary role for their excellent mechanical and chemical properties; zirconium oxide (ZrO2) nanoparticles can further enhance these properties, improving also the wear resistance. In this paper, a new hybrid C-PEEK+ZrO2 composite has been studied and its mechanical properties compared with its reference composite C-PEEK.","PeriodicalId":325425,"journal":{"name":"Volume 8: 16th International Conference on Micro- and Nanosystems (MNS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133017865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ming Lyu, Jian Zhao, N. Kacem, J. Song, Rongjian Sun, Pengbo Liu
A general model of two resonators subjected to electrostatic coupling and simultaneous primary and superharmonic excitations is developped. A reduced-order model including quadratic and cubic nonlinear terms is generated and the multi-scale method is used to solve the dynamic characteristics and analyze the contribution of the different frequency components. In addition, an overall nonlinear coefficient is defined, which can be adjusted to make the system exhibit different dynamic characteristics including softening, hardening, and linear behaviors. Finally, the conditions for restoring the linear behavior at the highest possible amplitude and suppressing its hysteresis are given.
{"title":"Hysteresis Suppression in Coupled Resonators Under Simultaneous Primary and Superharmonic Excitations","authors":"Ming Lyu, Jian Zhao, N. Kacem, J. Song, Rongjian Sun, Pengbo Liu","doi":"10.1115/detc2022-90565","DOIUrl":"https://doi.org/10.1115/detc2022-90565","url":null,"abstract":"\u0000 A general model of two resonators subjected to electrostatic coupling and simultaneous primary and superharmonic excitations is developped. A reduced-order model including quadratic and cubic nonlinear terms is generated and the multi-scale method is used to solve the dynamic characteristics and analyze the contribution of the different frequency components. In addition, an overall nonlinear coefficient is defined, which can be adjusted to make the system exhibit different dynamic characteristics including softening, hardening, and linear behaviors. Finally, the conditions for restoring the linear behavior at the highest possible amplitude and suppressing its hysteresis are given.","PeriodicalId":325425,"journal":{"name":"Volume 8: 16th International Conference on Micro- and Nanosystems (MNS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas A. Naylor, R. Black, Cameron Hernandez, B. Jensen
This paper presents the design and testing of a wrist worn health sensing band used to gather relationship data among band tension, sensor pressure, patient comfort, and measured pulsatile signal quality. It uses micromachined carbon-infiltrated carbon nanotube electrodes to detect a patient’s pulse using a bioimpedance approach. The micromachined electrodes experience no corrosion, and they are both strongly conductive and hypoallergenic. A simple mathematical model was developed to show the relationship between pressure on the wrist and tension in the wristband. The wristband was tested by being worn by 10 different research subjects over 15 tests. During each test, the tension in the band was varied, and the tension, pressure, and bioimpedance signal were measured and recorded. The test subject also reported a comfort and pain level score for each level of band tension. The results show that the model correctly predicts that tension varies linearly with pressure, and that the pressure vs. tension slope increases with increasing wrist width. There also exists a linear relationship between tension and patient pain/comfort, but pressure does not show an effect on the patient discomfort or pain experienced. Signal quality when measured in the range of 0–4 N of tension and 0–20 kPa of sensor pressure does not have a direct correlation to either tension or pressure.
{"title":"Relationships Among Band Tension, Sensor Pressure, Patient Comfort, and Puslatile Signal Quality for Wrist Worn Health Monitoring Devices","authors":"Thomas A. Naylor, R. Black, Cameron Hernandez, B. Jensen","doi":"10.1115/detc2022-90637","DOIUrl":"https://doi.org/10.1115/detc2022-90637","url":null,"abstract":"\u0000 This paper presents the design and testing of a wrist worn health sensing band used to gather relationship data among band tension, sensor pressure, patient comfort, and measured pulsatile signal quality. It uses micromachined carbon-infiltrated carbon nanotube electrodes to detect a patient’s pulse using a bioimpedance approach. The micromachined electrodes experience no corrosion, and they are both strongly conductive and hypoallergenic. A simple mathematical model was developed to show the relationship between pressure on the wrist and tension in the wristband. The wristband was tested by being worn by 10 different research subjects over 15 tests. During each test, the tension in the band was varied, and the tension, pressure, and bioimpedance signal were measured and recorded. The test subject also reported a comfort and pain level score for each level of band tension. The results show that the model correctly predicts that tension varies linearly with pressure, and that the pressure vs. tension slope increases with increasing wrist width. There also exists a linear relationship between tension and patient pain/comfort, but pressure does not show an effect on the patient discomfort or pain experienced. Signal quality when measured in the range of 0–4 N of tension and 0–20 kPa of sensor pressure does not have a direct correlation to either tension or pressure.","PeriodicalId":325425,"journal":{"name":"Volume 8: 16th International Conference on Micro- and Nanosystems (MNS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Okour, Mohammad Megdadi, Hamed Nikfarjam, S. Pourkamali, F. Alsaleem
The next frontier of MEMS applications is their use as computing units to harness data at the sensor level. In particular, MEMS intelligent computing unit has the unique promise of significantly increasing energy efficiency while simultaneously increasing data processing speeds and eliminating data latency in many applications such as wearable devices. Along this line, this paper presents a demonstration of the first simulated microelectromechanical (MEMS) network capable of classifying real-life experimental data based on acceleration measurement to distinguish between sitting and standing behaviors without the need for any computing or processing unit. The MEMS network is made of four MEMS; two MEMS in the input layer and two in the output layer. The first MEMS in the input layer is responsible for detecting a rising edge acceleration and allows the first MEMS in the output layer to be triggered at a following falling edge of the acceleration signal. This signature corresponds to the sitting activity. On the other hand, the second MEMS in the input layer is responsible for detecting the falling edge of the acceleration signal and allows the second output MEMS to declare a standing activity if it detects a following falling edge signal. This work demonstrates the potential of distinguishing between the sit and stand activities without any computing unit.
{"title":"A Small MEMS Neural Network to Classify Human Sitting and Standing Activities","authors":"M. Okour, Mohammad Megdadi, Hamed Nikfarjam, S. Pourkamali, F. Alsaleem","doi":"10.1115/detc2022-91236","DOIUrl":"https://doi.org/10.1115/detc2022-91236","url":null,"abstract":"\u0000 The next frontier of MEMS applications is their use as computing units to harness data at the sensor level. In particular, MEMS intelligent computing unit has the unique promise of significantly increasing energy efficiency while simultaneously increasing data processing speeds and eliminating data latency in many applications such as wearable devices. Along this line, this paper presents a demonstration of the first simulated microelectromechanical (MEMS) network capable of classifying real-life experimental data based on acceleration measurement to distinguish between sitting and standing behaviors without the need for any computing or processing unit. The MEMS network is made of four MEMS; two MEMS in the input layer and two in the output layer. The first MEMS in the input layer is responsible for detecting a rising edge acceleration and allows the first MEMS in the output layer to be triggered at a following falling edge of the acceleration signal. This signature corresponds to the sitting activity. On the other hand, the second MEMS in the input layer is responsible for detecting the falling edge of the acceleration signal and allows the second output MEMS to declare a standing activity if it detects a following falling edge signal. This work demonstrates the potential of distinguishing between the sit and stand activities without any computing unit.","PeriodicalId":325425,"journal":{"name":"Volume 8: 16th International Conference on Micro- and Nanosystems (MNS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116355983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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