Concept Development of a Sensor Array for 3D Printer

Baumann, Felix W.; Schön, M.; Eichhoff, Julian R.; Roller, Dieter

doi:10.1016/j.procir.2016.05.041

Cited by 25 publications

(18 citation statements)

References 12 publications

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“…They used time-domain features of acoustic emission data to identify experimentally several abnormal states of a 3D printer, namely, run out of material, semi-blocked extruder, and completely blocked extruder. Baumann et al [35] designed and implemented a sensor array for desktop 3D printers, consisting of motion, orientation, vibration, temperature, and hygrometry sensors.…”

Section: Introductionmentioning

confidence: 99%

Nozzle condition monitoring in 3D printing

Tlegenov

Hong

2018

Robotics and Computer-Integrated Manufacturing

140

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Section: Introductionmentioning

confidence: 99%

Nozzle condition monitoring in 3D printing

Tlegenov

Hong

2018

Robotics and Computer-Integrated Manufacturing

140

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“…The proposed model and the current-based nozzle condition monitoring method is in contrast to the earlier works [21,27,32], where the AM process monitoring methods were purely empirical. On the other hand, the results of the present research are similar to the study developed by Bukkapatnam and Clark [33], where they introduced a theoretical model-based vibration monitoring in 3D printing.…”

Section: Discussionmentioning

confidence: 93%

“…Acoustic emission monitoring technique was used to detect such 3D printing process errors as semiblocked extruder, completely blocked extruder, and run out of the material [30], and filament breakage [31]. Orientation, motion, hygrometry, temperature, and vibration sensors were utilised to track printing and not printing conditions in FDM [32].…”

Section: Introductionmentioning

confidence: 99%

A dynamic model for current-based nozzle condition monitoring in fused deposition modelling

Tlegenov

Hong

2019

Prog Addit Manuf

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3D printing and particularly fused deposition modelling (FDM) is widely used for prototyping and fabricating low-cost customised parts. However, present fused deposition modelling 3D printers have limited nozzle condition monitoring techniques to minimize nozzle clogging errors. Nozzle clogging is one of the significant process errors in fused deposition modelling 3D printers, and it affects the quality of prototyped parts in terms of mechanical properties and geometrical accuracy. This paper proposes a dynamic model for current-based nozzle condition monitoring in fused deposition modelling, which is briefly described as follows. First, all the process forces in filament extrusion of the fused deposition modelling were identified and derived theoretically, and theoretical equations of the feed rolling forces and flow-through-nozzle forces were derived. In addition, the effect of the nozzle clogging on the current of extruding motor were identified. Second, based on the proposed dynamic model, current-based nozzle condition monitoring method was proposed. Next, sets of experiments on FDM machine using polylactic acid (PLA) material were carried out to verify the proposed theoretical model, and the results were analysed and evaluated. Findings of the present study indicate that nozzle clogging in FDM 3D printing can be monitored by sensing the current of the filament extruding motor. The proposed model can be used efficiently for monitoring nozzle clogging conditions in fused deposition modelling 3D printers as it is based on the fundamental process modelling.

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“…Baumann et al [24] propose the development of flexible sensor boards for the use in the monitoring of AM processes. The authors analyse existing sensors available and provide an architectural overview over a system for the incorporation of these sensor boards into a manufacturing control and monitoring system.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Additive Manufacturing, Cloud-Based 3D Printing and Associated Services—Overview

Baumann

Roller

2017

JMMP

Self Cite

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Cloud Manufacturing (CM) is the concept of using manufacturing resources in a service-oriented way over the Internet. Recent developments in Additive Manufacturing (AM) are making it possible to utilise resources ad-hoc as replacements for traditional manufacturing resources in case of spontaneous problems in the established manufacturing processes. In order to be of use in these scenarios, the AM resources must adhere to a strict principle of transparency and service composition in adherence to the Cloud Computing (CC) paradigm. With this review, we provide an overview of CM, AM and relevant domains as well as presenting the historical development of scientific research in these fields, from 2002 to 2016. Part of this work is also a meta-review on the domain to further detail its development and structure.

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Concept Development of a Sensor Array for 3D Printer

Cited by 25 publications

References 12 publications

Nozzle condition monitoring in 3D printing

Nozzle condition monitoring in 3D printing

A dynamic model for current-based nozzle condition monitoring in fused deposition modelling

Additive Manufacturing, Cloud-Based 3D Printing and Associated Services—Overview

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