Additive Manufacturing Design and Fabrication of Ceramic Cylindrical Ion Trap Mass Analyzer Chips for Miniaturized Mass Spectrometer Smart-Device (Internet of Things) Applications

2016 ◽  
Vol 13 (3) ◽  
pp. 113-120
Author(s):  
Patrick Roman ◽  
Xudong Chen ◽  
W. Kinzy Jones ◽  
A. Karbasi ◽  
C. Mike Newton ◽  
...  

The current computing power and network capabilities of handheld smart devices is helping to drive the development of new sensors, enabling the Internet of things. A chip-based mass spectrometer technology promises to offer a smart-device autonomous microsystem chemical analysis capability for sample determination and process monitoring for multiple applications in a small low-power instrument package. This project focuses on the development of cylindrical ion trap (CIT) mass analyzer chips fabricated using three-dimensional (3-D) additive manufacturing (AM) and planar low temperature cofired ceramic thick film processes for a chip-based mass spectrometer microsystem. The CIT is a mass analyzer composed of planar electrodes and operates by trapping and ejecting sample ions based on their mass in a radiofrequency field. Because of its simplicity, CITs may be easily miniaturized and connected in tandem to achieve multiplexing. AM materials and methods enable enhanced trap miniaturization through micromachining and electrode patterning methods, fast and cost-effective prototyping, batch fabrication, and material formulation flexibility. The current design incorporates three parallel ceramic plate metalized electrodes making up a singular trap geometry in a 10-mm2 ceramic chip, forming a mass analyzer of reduced size, mass, and power, with enhanced material robustness for extended range use and in harsh environments. Unique processes have been developed to produce these devices which include conformal metallization layers, adhesion layers, ceramic paste formulations, sacrificial supporting materials, and cofiring methods. Additionally, 3-D printing brings a unique design and fabrication capability enabling novel structures, material blending, and heterogeneous integration. With true digital control, the designs are easily scalable and shape agnostic.

2015 ◽  
Vol 2015 (1) ◽  
pp. 000197-000202
Author(s):  
Patrick Roman ◽  
Xudong Chen ◽  
W. Kinzy Jones ◽  
Ali Karbasi ◽  
C. Mike Newton ◽  
...  

A chip based mass spectrometer technology promises to offer smart-device autonomous microsystem chemical analysis capability for sample determination and process monitoring for multiple applications in a small low power instrument package. This project focuses on the development of cylindrical ion trap mass analyzer chips fabricated using 3D Additive Manufacturing and planar Low Temperature Co-Fired Ceramic thick film processes toward the realization of a chip based mass spectrometer microsystem. The cylindrical ion trap (CIT) is a mass analyzer comprised of planar electrodes and operates by trapping and ejecting sample ions based on their mass in an RF field. Because of its simplicity CITs may be easily miniaturized and connected in tandem to achieve multiplexing. Additive manufacturing materials and methods enable enhanced trap miniaturization through micro machining and electrode patterning methods, fast and cost effective prototyping, batch fabrication, and material formulation flexibility. The current design incorporates three parallel ceramic plate metalized electrodes making up a singular trap geometry in a 10mm2 ceramic chip, forming a mass analyzer of reduced size, mass, and power, with enhanced material robustness for extended range use and in harsh environments. Unique processes have been developed to produce these devices which include conformal metallization layers, adhesion layers, ceramic paste formulations, sacrificial supporting materials, and co-firing methods. Additionally, 3D printing brings a unique design and fabrication capability enabling novel structures, material blending and heterogeneous integration. With true digital control, the designs are easily scalable and shape agnostic.


2003 ◽  
Vol 75 (21) ◽  
pp. 5656-5664 ◽  
Author(s):  
Amy M. Tabert ◽  
Jens Griep-Raming ◽  
Andrew J. Guymon ◽  
R. Graham Cooks

2002 ◽  
Vol 74 (24) ◽  
pp. 6154-6162 ◽  
Author(s):  
Leah S. Riter ◽  
Yanan Peng ◽  
Robert J. Noll ◽  
Garth E. Patterson ◽  
Tenna Aggerholm ◽  
...  

The Analyst ◽  
2021 ◽  
Author(s):  
Fuxing Xu ◽  
Weimin Wang ◽  
Xinhua Dai ◽  
Xiang Fang ◽  
Chuanfan Ding

The linear ion trap mass analyzer could improve the analytical performance comparing to the traditional three-dimensional ion trap, giving rise to higher analytical performance. In this study, a systematical investigation...


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2089 ◽  
Author(s):  
Rehman Abdul ◽  
Anand Paul ◽  
Junaid Gul M. ◽  
Won-Hwa Hong ◽  
Hyuncheol Seo

Internet of Things (IoT) has been at the center of attention among researchers for the last two decades. Their aim was to convert each real-world object into a virtual object. Recently, a new idea of integrating the Social Networking concept into the Internet of Things has merged and is gaining popularity and attention in the research society due to its vast and flexible nature. It comprises of the potential to provide a platform for innovative applications and network services with efficient and effective manners. In this paper, we provide the sustenance for the Social Internet of Things (SIoT) paradigm to jump to the next level. Currently, the SIoT technique has been proven to be efficient, but heterogeneous smart devices are growing exponentially. This can develop a problematic scenario while searching for the right objects or services from billions of devices. Small world phenomena have revealed some interesting facts and motivated many researchers to find the hidden links between acquaintances in order to reach someone across the world. The contribution of this research is to integrate the SIoT paradigm with the small world concept. By integrating the small world properties in SIoT smart devices, we empower the Smart Social Agent (SSA). The Smart Social Agent ensures the finding of appropriate friends (i.e., the IoT devices used by our friend circle) and services that are required by the user, without human intervention. The Smart Social Agent can be any smart device in SIoTs, e.g., mobile phones.


The Analyst ◽  
2004 ◽  
Vol 129 (4) ◽  
pp. 323 ◽  
Author(s):  
Amy M. Tabert ◽  
Alexander S. Misharin ◽  
R. Graham Cooks

The Analyst ◽  
2003 ◽  
Vol 128 (9) ◽  
pp. 1112 ◽  
Author(s):  
Leah S. Riter ◽  
Eduardo C. Meurer ◽  
Eric S. Handberg ◽  
Brian C. Laughlin ◽  
Hao Chen ◽  
...  

2020 ◽  
Author(s):  
Tanweer Alam

Background: The wireless networks make it easier for users to connect with each other in the sense of the Internet of Things (IoT) system. The cloud and MANET convergence offer the services for cloud access within MANET of devices connected. Objective: The main objective of this research is to establish a cloud-based ad-hoc network architecture for the communication among smart devices under the 5G based Internet of Things architecture. Methods: The methods are applied to discover the smart devices using probability-based model, hidden Markov model and gradient-based model. Results: A cloud-MANET architecture of the smart device is constructed with cloud and MANET computation. The framework allows MANET users to access and deliver cloud services through their connected devices, where all simulations, error handling, and resource management are implemented. Conclusion: The MANET service has been launched as well as linked to the cloud by the mobile device. The author used the amazon cloud storage service. This research produces a conceptual model that is based on the ubiquitous method. It is shown the success in this area and expectations for future scope.


2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Bo Wang ◽  
Mingchu Li

With the continuous progress of edge computing technology and the development of the Internet of Things technology, scenarios such as smart transportation, smart home, and smart medical care enable people to enjoy the smart era’s convenience. Simultaneously, with the addition of many smart devices, a large number of tasks are submitted to the edge server, making the edge server unable to meet the needs of completing tasks submitted by the smart device. Besides, if the task is submitted to the remote cloud data center, it increases the user’s additional delay and cost. Therefore, it is necessary to improve the task offloading strategy and resource allocation scheme to solve these problems. This paper first proposes a new task offloading mechanism and then proposes a two-stage Stackelberg game model to solve each participant’s interaction problem in the task offloading mechanism and ensure the maximization of their respective interests. Finally, a theoretical analysis proves the equilibrium of the two-stage Stackelberg game. Experiments are used to prove the effectiveness of the proposed mechanism. Comparative experimental results show that the proposed model can achieve better results regarding delay and energy consumption.


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