scholarly journals Inexpensive Piezoelectric Elements for Nozzle Contact Detection and Build Platform Leveling in FFF 3D Printers

Inventions ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 8
Author(s):  
◽  
Author(s):  
Mike Simpson ◽  
Simon Khoury

Inexpensive piezoelectric diaphragms can be used as sensors to facilitate both nozzle height setting and bed levelling in FFF (Fused Filament Fabrication) 3D printers. A variety of probes have been developed by the authors and others to utilize piezoelectric diaphragms both under the build stage and in the printer head. The reliability, repeatability and sensitivity of these probes has been investigated along with such practical considerations as usability in different environments, the functional life of piezoelectric diaphragms in this use and what improvement to print quality may be obtained. A probe using a piezoelectric diaphragm has been developed and released as an open source product, this probe as well as kits for making probes are available and are proving reliable. The conclusion is that piezoelectric diaphragms are equal to or better than other technologies used for nozzle probing.


Author(s):  
Michael Simpson ◽  
Simon Khoury

Inexpensive piezoelectric diaphragms can be used as sensors to facilitate both nozzle height setting and build platform leveling in FFF (Fused Filament Fabrication) 3D printers. Tests simulating nozzle contact are conducted to establish the available output and an output of greater than 8 Volts found at 20 ºC, a value which is readily detectable by simple electronic circuits. Tests are also conducted at a temperature of 80 ºC and, despite a reduction of greater than 80% in output voltage, this is still detectable. The reliability of piezoelectric diaphragms is investigated by mechanically stressing samples over 100,000 cycles at both 20 ºC and 80 ºC and little loss of output over the test duration is found. The development of a nozzle contact sensor using a single piezoelectric diaphragm is described.


Author(s):  
Michael Simpson ◽  
Simon Khoury

Inexpensive piezoelectric diaphragms can be used as sensors to facilitate both nozzle height setting and bed levelling in FFF (Fused Filament Fabrication) 3D printers. A variety of probes have been developed by the authors and others to utilize piezoelectric diaphragms both under the build stage and in the printer head. The reliability, repeatability and sensitivity of these probes has been investigated along with such practical considerations as usability in different environments, the functional life of piezoelectric diaphragms in this use and what improvement to print quality may be obtained. A probe using a piezoelectric diaphragm has been developed and released as an open source product, this probe as well as kits for making probes are available and are proving reliable. The conclusion is that piezoelectric diaphragms are equal to or better than other technologies used for nozzle probing.


2018 ◽  
Vol 46 (2) ◽  
pp. 78-92 ◽  
Author(s):  
A. I. Kubba ◽  
G. J. Hall ◽  
S. Varghese ◽  
O. A. Olatunbosun ◽  
C. J. Anthony

ABSTRACT This study presents an investigation of the inner tire surface strain measurement by using piezoelectric polymer transducers adhered on the inner liner of the tire, acting as strain sensors in both conventional and dual-chamber tires. The piezoelectric elements generate electrical charges when strain is applied. The inner liner tire strain can be found from the generated charge. A wireless data logger was employed to measure and transmit the measured signals from the piezoelectric elements to a PC to store and display the readout signals in real time. The strain data can be used as a monitoring system to recognize tire-loading conditions (e.g., traction, braking, and cornering) in smart tire technology. Finite element simulations, using ABAQUS, were employed to estimate tire deformation patterns in both conventional and dual-chamber tires for pure rolling and steady-state cornering conditions for different inflation pressures to simulate on-road and off-road riding tire performances and to compare with the experimental results obtained from both the piezoelectric transducers and tire test rig.


2019 ◽  
pp. 53-59
Author(s):  
P.V. MONASTYREV ◽  
◽  
E.S. MISHCHENKO ◽  
B. AZAUI DUBLA ◽  
V.A. OVSIANNIKOVA ◽  
...  

2018 ◽  
Vol 69 (4) ◽  
pp. 840-842
Author(s):  
Wojciech Musialik ◽  
Marcin Nabialek ◽  
Slawomir Letkiewicz ◽  
Andrei Victor Sandu ◽  
Katarzyna Bloch

The paper presents the possibility of using an innovative hydroxyapatite filament Ca10(PO4)6(OH)2 for printing in 3D printers of bone implants and the possibility of using it during implantation with voice prostheses. The introduction of an additional colloidal silver composite in voice implants will contribute to the reduction of bacterial infections, fungal infections and granulomatous hyperplasia. The creation of a stable external ring of the vocal fistula will remove complications associated with it with enlargement of the fistula and leakiness of voice implants. The ability to print with a hydroxyapatite filament will allow digital pre-surgery modeling of bone implants suited to the needs of surgical procedures.


Author(s):  
Sunil Pathak

Background: The significant work has been present to identify suspects, gathering information and examining any videos from CCTV Footage. This exploration work expects to recognize suspicious exercises, i.e. object trade, passage of another individual, peeping into other's answer sheet and individual trade from the video caught by a reconnaissance camera amid examinations. This requires the procedure of face acknowledgment, hand acknowledgment and distinguishing the contact between the face and hands of a similar individual and that among various people. Methods: Segmented frames has given as input to obtain foreground image with the help of Gaussian filtering and background modeling method. Suh foreground images has given to Activity Recognition model to detect normal activity or suspicious activity. Results: Accuracy rate, Precision and Recall are calculate for activities detection, contact detection for Best Case, Average Case and Worst Case. Simulation results are compare with performance parameter such as Material Exchange, Position Exchange, and Introduction of a new person, Face and Hand Detection and Multi Person Scenario. Conclusion: In this paper, a framework is prepared for suspect detection. This framework will absolutely realize an unrest in the field of security observation in the training area.


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