Reliable Metal-Fill Monitoring System Using Wireless Sensor Networks

Junga, Petr; Abdelrahman, Mohamed; Thurmer, Clayton R.; Deabes, Wael

doi:10.1109/itng.2008.134

Cited by 7 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The induced variable impedance between the two capacitive electrodes when liquid metal is in direct vicinity results in a change in the output voltage of the capacitive sensors [34,35]. This process was further optimized by resolving the packet loss issues associated with wireless transmission of data [34,36]. Although the location and amount of metal inside the flask can be identified via ECT, local melt velocities cannot be accurately acquired through ECT sensing alone.…”

Section: Capacitive Sensorsmentioning

confidence: 99%

Measurement of Metal Velocity in Sand Casting during Mold Filling

Sama

MacDonald

Voigt

et al. 2019

Metals

View full text Add to dashboard Cite

Melt turbulence during mold filling is detrimental to the quality of sand castings. In this research study, the authors present a novel method of embedding Internet of Things (IoT) sensors to monitor real-time melt flow velocity in sand molds during metal casting. Cavities are incorporated in sand molds to position the sensors with precise registration. Capacitive and magnetic sensors are embedded in the cavities where melt flow velocity is calculated by using an oscillator, the frequency of which is sensitive to changes in the close field permittivity, and change in magnetic flux, respectively. Their efficiency is investigated by integrating the sensors into 3D sand-printing (3DSP) molds for conical-helix and straight sprue configurations to measure flow velocities for aluminum alloy 319. Experimental melt flow velocities are within 5% of estimations from computational simulations. A major benefit of 3DSP is the geometrical freedom for complex gating systems necessary to reduce turbulence and access to mold volume for sensor integration during 3DSP processing. Findings from this study establish the opportunity of embedding IoT sensors in sand molds to monitor metal velocity in order to validate simulation results (2–5% error), compare gating systems performance, and improve foundry practice of manual pouring as a quality control system.

show abstract

Section: Capacitive Sensorsmentioning

confidence: 99%

Measurement of Metal Velocity in Sand Casting during Mold Filling

Sama

MacDonald

Voigt

et al. 2019

Metals

View full text Add to dashboard Cite

show abstract

“…The development of efficient and flexible wireless technology has created a wide variety of potentially new wireless systems. Wired solutions are not practical in this kind of harsh industrial environment [1]. Thus, in this paper, we focus on the survey on the wireless approach in Industrial Tomography System (IPS) and provide design considerations in embedded wireless system.…”

Section: 10 Introductionmentioning

confidence: 99%

A Survey On Wireless Based Industrial Tomography System

et al. 2013

View full text Add to dashboard Cite

This paper presented a survey on wireless based industrial tomography system, and to review design challenges in the field of embedded wireless solutions. Focuses are on presenting recent researches in wireless based industrial tomography system, and providing the wireless protocols supported by the current embedded technologies. We also explain the influences of wireless characteristics such as RF spectrum usage, Link budget, RF agility, antenna and power consumptions in the performance of the designed wireless system. In this paper, we intend to introduce a set of practical considerations for embedded wireless tomography system design.

show abstract

“…As a result, WSNs enable a variety of industrial applications such as remote control of oil transport [1], pipeline monitoring [2], chemical process control, and plastics refining [3][4][5]. In the form of centerless, self-organized wireless networks, WSNs can be deployed at locations where the wired equipment are difficult to realize the sensing tasks.…”

Section: Introductionmentioning

confidence: 99%

“…This is very important for industry automation as it helps operators detect the malfunctions of the industrial systems in the earlier time. As a result, WSNs enable a variety of industrial applications such as remote control of oil transport [1], pipeline monitoring [2], chemical process control, and plastics refining [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

TREE: Routing strategy with guarantee of QoS for industrial wireless sensor networks

Xue

Guan

Liu

et al. 2012

Int J Communication

View full text Add to dashboard Cite

As considerable progress has been made in wireless sensor networks (WSNs), we can expect that sensor nodes will be applied in industrial applications. Most available techniques for WSNs can be transplanted to industrial wireless sensor networks (IWSNs). However, there are new requirements of quality of service (QoS), that is, real-time routing, energy efficiency, and transmission reliability, which are three main performance indices of routing design for IWSNs. As one-hop neighborhood information is often inadequate to data routing in IWSNs, it is difficult to use the conventional routing methods. In the paper, we propose the routing strategy by taking the real-time routing performance, transmission reliability, and energy efficiency (TREE, triple R and double E) into considerations. For that, each sensor node should improve the capability of search range in the phase of data route discovery. Because of the increase of available information in the enlarged search range, sensor node can select more suitable relay node per hop. The real-time data routes with lower energy cost and better transmission reliability will be used in our proposed routing guideline. By comparing with other routing methods through extensive experimental results, our distributed routing proposal can guarantee the diversified QoS requirements in industrial applications. Copyright Different from the common methods used in the industrial data communication such as Fieldbus and Industrial Ethernet, there is a pressing need to reconsider the requirements of quality of service (QoS) in industrial wireless sensor networks (IWSNs), that is, energy awareness [6, 7], real-time data transmission [8,9], and reliable data transmission [10,11], because the actuators interpret and execute the correct control instructions from the central controller. The real-time performance for such networks means that the accumulated time delay of monitoring data from the source node to the sink should be less than the required time bound. For instance, in the oil leak monitoring system, the ineffective monitoring data will cause a great loss to oil transport. From another perspective, wireless sensor nodes are usually powered with limited energy resources, and it is difficult to recharge or replace their batteries. Therefore, the energy efficiency is another important issue needed to be further studied, and the communication loads among sensor nodes should be evenly distributed in order to maintain link connectivity and prolong network lifetimes in IWSNs.Generally speaking, the guarantee of QoS to IWSNs should consider multiple factors, for example, electromagnetic interferences, accidental death of sensor node, dynamic network topology, low processing capability, and small memory capacity [12]. Several works have studied these issues from the perspective of different network layers. Herein, routing protocols regulate and specify how the routers communicate with each other, and they also instruct that how the information can be disseminated to enable sensor nodes to sel...

show abstract

Reliable Metal-Fill Monitoring System Using Wireless Sensor Networks

Cited by 7 publications

References 2 publications

Measurement of Metal Velocity in Sand Casting during Mold Filling

Measurement of Metal Velocity in Sand Casting during Mold Filling

A Survey On Wireless Based Industrial Tomography System

TREE: Routing strategy with guarantee of QoS for industrial wireless sensor networks

Contact Info

Product

Resources

About