scholarly journals Emerging Nexis of Cyber, Modeling, and Estimation in Advanced Manufacturing

2014 ◽  
Vol 136 (12) ◽  
pp. S8-S15 ◽  
Author(s):  
Joseph Beaman ◽  
Felipe Lopez
Keyword(s):  
Computer Architecture ◽  
Control Algorithm ◽  
Manufacturing Systems ◽  
Simulation Software ◽  
Estimation Methods ◽  
Vacuum Arc ◽  
Manufacturing Processes ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
Great Opportunity

This article describes opportunities for exploiting cyber, modeling, and estimation technical areas for advanced manufacturing in small lots. In particular, Cyber Enabled Manufacturing Systems (CeMs) for small lot manufacturing that incorporates a model of the process directly into the control algorithm are presented and discussed. The model enables the manufacturing monitoring and control algorithm to accommodate changing conditions without extensive additional experiments. One of the manufacturing processes currently being studied with this methodology is Vacuum Arc Remelting (VAR). Similar to Additive Manufacturing, VAR is a small lot, high-value manufacturing process. There is great opportunity for the control community to have a major impact on advanced manufacturing. This includes increasing the performance of mature manufacturing processes such as VAR or developing the critical control of emerging manufacturing processes like 3D printing. This opportunity is especially timely because of a nexus of multi-physics simulation software, modern estimation methods, and real-time computer architecture and hardware.

Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments: Workshop on June 21, 2018

2019 ◽  
Author(s):  
Arvind Shankar Raman ◽  
Dustin Harper ◽  
Karl R. Haapala ◽  
Barbara S. Linke ◽  
William Z. Bernstein ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Nominal Group Technique ◽  
Nominal Group ◽  
Manufacturing Processes ◽  
Advanced Manufacturing ◽  
Process Characterization ◽  
American Society ◽  
Sustainability Assessments ◽  
The U.S

Abstract A workshop on Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments, jointly sponsored by the U.S. National Science Foundation, the U.S. National Institute of Standards and Technology, ASTM International, the American Society of Mechanical Engineers, and the Society of Manufacturing Engineers, was held in College Station, Texas on June 21, 2018. The goals of the workshop were to identify research needs supporting manufacturing process characterization, define limitations in associated education practices, and emphasize on challenges to be pursued by the advanced manufacturing research community. An important aspect surrounded the introduction and development of reusable abstractions of manufacturing processes (RAMP), which are standard representations of unit manufacturing processes to support the development of metrics, methods, and tools for the analysis of manufacturing processes and systems. This paper reports on the workshop activities and findings, which span the improvement of engineering education, the understanding of process physics and the influence of novel materials and manufacturing processes on energy and environmental impacts, and approaches for optimization and decision-making in the design of manufacturing systems. A nominal group technique was used to identify metrics, methods, and tools critical to advanced manufacturing industry as well as highlight the associated research challenges and barriers. Workshop outcomes provide a number of research directions that can be pursued to address the identified challenges and barriers.

scholarly journals Application of Spectrometric Technologies in the Monitoring and Control of Foods and Beverages

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 948
Author(s):  
Ricard Boqué ◽  
Barbara Giussani
Keyword(s):  
Competitive Advantage ◽  
Sensory Properties ◽  
Manufacturing Processes ◽  
Monitoring And Control ◽  
High Quality ◽  
And Control

In order to obtain high-quality products and gain a competitive advantage, food producers seek improved manufacturing processes, particularly when physicochemical and sensory properties add significant value to the product [...]

scholarly journals Comparative simulation study on two estimation methods and two control strategies for semi-active suspension

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110073
Author(s):  
Wang Xin ◽  
Gu Liang ◽  
Dong Mingming ◽  
Li Xiaolei
Keyword(s):  
Sliding Mode Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Structural Characteristics ◽  
Active Suspension ◽  
Road Surface ◽  
Estimation Methods ◽  
Vehicle Dynamic ◽  
Mode Control ◽  
Computational Overhead

With regard to the structural characteristics of the McPherson suspension system, when a vehicle is being driven on a rough road surface, the force direction of the suspension varies. This poses challenges to the vehicle’s driving safety and handling stability. Based on Lagrangian equations, this paper proposes a new nonlinear semi-vehicle suspension model and presents comparative studies, conducted through simulation, on the estimated accuracy and computational overhead of the small-computational-overhead extended Kalman filter (EKF) and unscented Kalman estimation (UKF) methods, and on the effectiveness of the skyhook sliding mode control (SHSMC) and nonlinear skyhook-sliding mode control (NSHSMC) semi-active suspension control methods. The response of the vehicle to the state estimation algorithm was evaluated through computer simulations using the Carsim vehicle dynamic software. The simulation results reveal that the vehicle dynamic states were satisfactorily estimated when the vehicle was driven on a rough road surface. Compared with the small-computational-overhead EKF algorithm, the estimated results of these variables based on the UKF algorithm have higher accuracy. However, the UKF algorithm requires longer computation time compared with the EKF algorithm. The SHSMC control algorithm achieved greater improvement for the vehicle’s drive handling stability in the 6–10-Hz vibration region compared with the NSHSMC control algorithm. In a high-frequency region over 10Hz, the semi-active suspension controlled by the SHSMC method had a more adverse effect on the driving comfort.

Observer Design for State Estimation of UV Curing Processes

2014 ◽  
Author(s):  
Adamu Yebi ◽  
Beshah Ayalew ◽  
Satadru Dey
Keyword(s):  
State Estimation ◽  
Online Monitoring ◽  
Uv Curing ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
State Observers ◽  
State Measurement ◽  
And Control

This article discusses the challenges of non-intrusive state measurement for the purposes of online monitoring and control of Ultraviolet (UV) curing processes. It then proposes a two-step observer design scheme involving the estimation of distributed temperature from boundary sensing cascaded with nonlinear cure state observers. For the temperature observer, backstepping techniques are applied to derive the observer partial differential equations along with the gain kernels. For subsequent cure state estimation, a nonlinear observer is derived along with analysis of its convergence characteristics. While illustrative simulation results are included for a composite laminate curing application, it is apparent that the approach can also be adopted for other UV processing applications in advanced manufacturing.

A Blockchain-Enabled Approach for Online Stream Sensor Data Protection in Cyber-Physical Manufacturing Systems

2021 ◽  
Author(s):  
Zhangyue Shi ◽  
Chenang Liu ◽  
Chen Kan ◽  
Wenmeng Tian ◽  
Yang Chen
Keyword(s):  
Information Technologies ◽  
Manufacturing Systems ◽  
Rapid Development ◽  
Data Access ◽  
Sensor Data ◽  
False Alarms ◽  
Monitoring And Control ◽  
Stream Data ◽  
Physical Security ◽  
And Control

Abstract With the rapid development of the Internet of Things and information technologies, more and more manufacturing systems become cyber-enabled, which significantly improves the flexibility and productivity of manufacturing. Furthermore, a large variety of online sensors are also commonly incorporated in the manufacturing systems for online quality monitoring and control. However, the cyber-enabled environment may pose the collected online stream sensor data under high risks of cyber-physical attacks as well. Specifically, cyber-physical attacks could occur during the manufacturing process to maliciously tamper the sensor data, which could result in false alarms or failures of anomaly detection. In addition, the cyber-physical attacks may also illegally access the collected data without authorization and cause leakage of key information. Therefore, it becomes critical to develop an effective approach to protect online stream data from these attacks so that the cyber-physical security of the manufacturing systems could be assured. To achieve this goal, an integrative blockchain-enabled method, is proposed by leveraging both asymmetry encryption and camouflage techniques. A real-world case study that protects cyber-physical security of collected stream data in additive manufacturing is provided to demonstrate the effectiveness of the proposed method. The results demonstrate that malicious tampering could be detected in a relatively short time and the risk of unauthorized data access is significantly reduced as well.

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