Direct Digital Additive Manufacturing and Cyber-Enabled Manufacturing Systems

2012 ◽  
Author(s):  
Khershed P. Cooper
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Complex Geometry ◽  
Basic Research ◽  
Naval Research ◽  
Physical Processes ◽  
Physical Systems ◽  
Office Of Naval Research ◽  
And Control ◽  
Manufacturing Problems

The technology of direct digital additive manufacturing (D2AM) has received considerable attention in recent months. Several government agencies and commercial interests are planning to explore D2AM to find solutions to manufacturing problems. The attraction of D2AM is the benefit of rapidly producing without fixtures or tools or human intervention customized objects of complex geometry not possible by traditional methods. The interest in D2AM ranges from fabrication of critical, high value aerospace metallic components to fabrication of objects having an organic look or as nature would have intendedi. For D2AM to be commercially accepted, it must reliably and predictably make products. It must achieve consistency in reproducibility across relevant D2AM methods. The Office of Naval Research (ONR) has launched a new basic research program, known as Cyber-enabled Manufacturing Systems (CeMS). The long-range goal of the program is to achieve the level of control over D2AM processes for industrial acceptance and wide-use of the technology. This program will develop measuring, sensing and control models and algorithms for D2AM by harnessing principles underpinning cyber-physical systems (CPS) and fundamentals of physical processes. This paper describes the challenges facing D2AM and the CeMS program goals to meet them.

Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control

2018 ◽  
Author(s):  
Farhad Imani ◽  
Bing Yao ◽  
Ruimin Chen ◽  
Prahalada Rao ◽  
Hui Yang
Keyword(s):  
Additive Manufacturing ◽  
Process Monitoring ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Experimental Studies ◽  
Precision Machining ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
Ultra Precision ◽  
And Control

Nowadays manufacturing industry faces increasing demands to customize products according to personal needs. This trend leads to a proliferation of complex product designs. To cope with this complexity, manufacturing systems are equipped with advanced sensing capabilities. However, traditional statistical process control methods are not concerned with the stream of in-process imaging data. Also, very little has been done to investigate nonlinearity, irregularity, and inhomogeneity in image stream collected from manufacturing processes. This paper presents the multifractal spectrum and lacunarity measures to characterize irregular and inhomogeneous patterns of image profiles, as well as detect the hidden dynamics of the underlying manufacturing process. Experimental studies show that the proposed method not only effectively characterizes the surface finishes for quality control of ultra-precision machining but also provides an effective model to link process parameters with fractal characteristics of in-process images acquired from additive manufacturing. This, in turn, will allow a swift response to processes changes and consequently reduce the number of defective products. The proposed fractal method has strong potentials to be applied for process monitoring and control in a variety of domains such as ultra-precision machining, additive manufacturing, and biomanufacturing.

US Office of Naval Research Arctic Research Laboratory, Point Barrow, Alaska

Polar Record ◽  
1967 ◽  
Vol 13 (85) ◽  
pp. 421-423 ◽  
Author(s):  
M. E. Britton
Keyword(s):  
Research Laboratory ◽  
Basic Research ◽  
Government Support ◽  
The Arctic ◽  
Naval Research ◽  
Research Facility ◽  
Scientific Enterprise ◽  
Office Of Naval Research ◽  
General Scientific ◽  
Arctic Coast

The Arctic Research Laboratory (ARL) is a year-round, continuing, basic research facility, funded by the Office of Naval Research (ONR), US Department of Navy, and located in lat 71° 21'N, long 156° 46'W, near Point Barrow, on the Arctic coast of Alaska. It was established in 1947 not, as could be reasonably expected, only to further investigations of immediate and practical use to the Navy, but also to support work of purely general scientific interest. Scientists from other countries were also invited to make use of its facilities. ARL represents a laudable co-operation between government support and private scientific enterprise.

Sea Motion Simulation, Very Low Frequency Vibration, and Motion Sickness

1976 ◽  
Vol 20 (20) ◽  
pp. 462-462
Author(s):  
Michael E. McCauley
Keyword(s):  
Motion Sickness ◽  
Degrees Of Freedom ◽  
Low Frequency ◽  
Vertical Motion ◽  
Basic Research ◽  
Future Research ◽  
Naval Research ◽  
Low Frequency Vibration ◽  
Office Of Naval Research ◽  
Linear Oscillation

The office of Naval Research/Human Factors Research (ONR/HFR) Motion Generator was designed with three degrees of freedom (heave, pitch, and roll) to simulate the motion of an air-sea craft in varying ocean conditions through Sea State 5. Recent upgrading of the device has provided the capability for simulating the motion of advanced design sea craft as well as certain aspects of vertical motion common to land, sea, and air vehicles. Since 1968, the simulator has been used for investigation of the following topics: (1) basic research to provide equations for the prediction of motion sickness incidence based on parameters of vertical linear oscillation, (2) crew performance during simulated motion of two types of proposed naval vessels, and (3) evaluation of the efficacy of antimotion sickness medications in alleviating the symptoms of motion sickness. This simulator provides the opportunity for future research on the effects of motion on physiological and psychological processes as well as task performance.

scholarly journals Architectures and Protocols for Wireless Sensor and Actuator Networks

2021 ◽  
Vol 10 (3) ◽  
pp. 52
Author(s):  
Piergiuseppe Di Marco ◽  
Pangun Park
Keyword(s):  
Internet Of Things ◽  
Wireless Networking ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Physical Processes ◽  
Physical Systems ◽  
Recent Advances ◽  
And Control

Recent advances in wireless networking, sensing, computing, and control are revolutionizing how physical systems interact with information and physical processes such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Tactile Internet. [...]

Characteristic Analyzation of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 427-430
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Real Time ◽  
Heterogeneous Systems ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Physical Processes ◽  
Physical Systems ◽  
Time Performance ◽  
Research Challenges ◽  
Computer Mediated ◽  
And Control

Cyber-physical systems (CPS) are complex distributed heterogeneous systems which integrating cyber and physical processes by computation, communication and control. During interaction between cyber and physical world, the traditional theories and applications has been difficult to satisfy real-time performance and efficient. Cyber-physical systems clearly have a role to play in developing a new theory of computer-mediated physical systems. The aim of this work is to analysis the features and relation technology of CPS that get better understanding for this new field. We summarized the research progresses from different perspectives such as modeling, classical tools and applications. Finally, the research challenges for CPS are in brief outlined.

Basic research in the Office of Naval Research

Physics Today ◽  
1951 ◽  
Vol 4 (9) ◽  
pp. 17-19
Author(s):  
Dwight E. Gray
Keyword(s):  
Basic Research ◽  
Naval Research ◽  
Office Of Naval Research

Reciprocal Variable Feedback: Induced Sensing for Nonlinear Systems Design and Control

1998 ◽  
Vol 120 (2) ◽  
pp. 157-163
Author(s):  
Aristides Gogoussis ◽  
Max Donath
Keyword(s):  
Control Theory ◽  
Feedback Linearization ◽  
Systems Design ◽  
Physical Reality ◽  
Physical Processes ◽  
Control Laws ◽  
Physical Systems ◽  
Broad Variety ◽  
And Control ◽  
Insight Into

System performance can be significantly improved when both the design of the plant and of the controller are considered concurrently. Control theory can be applied to a broad variety of systems, including those that are physical in nature and many that are not. Despite the generality of control theory, there are many situations in which opportunities are missed for using less conservative control laws and simpler overall implementations. This is due to the use of formulations that do not explicitly reveal the existence of intrinsic information pertaining to the particular domain of application. Such is the case with many physical systems. However, the various constraints associated with physical reality (in the form of principles, laws, etc.) open up several possibilities which can be exploited for system design and control. In this paper, we propose the Reciprocal Variable Feedback principle as a means for facilitating the control of plants with complicated nonlinear dynamics in the presence of parameter and/or structural uncertainty. The RVF principle exploits the effort-flow relationships associated with power interactions in order to assist in the design and control of physical processes. This is accomplished by using appropriate sensors instead of computation based on models (e.g., feedback linearization) and can be implemented within many physical domains. A motion control example is used to provide insight into the nature of the principle. It is expected that in the future, additional principles will be identified and introduced for integrating design with the control of dynamical systems.

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