Statistical analysis of 3D-printed flat GRIN lenses

2016 ◽  
Author(s):  
Hulusi Acikgoz ◽  
Ravi Kumar Arya ◽  
Raj Mittra
Keyword(s):  
Statistical Analysis ◽  
3D Printed

scholarly journals Influence of the Printing Angle and Load Direction on Flexure Strength in 3D Printed Materials for Provisional Dental Restorations

Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3376
Author(s):  
Paula Derban ◽  
Romeo Negrea ◽  
Mihai Rominu ◽  
Liviu Marsavina
Keyword(s):  
Statistical Analysis ◽  
Testing Machine ◽  
Load Direction ◽  
Flexure Strength ◽  
Three Point Bending ◽  
Dental Restorations ◽  
Frequent Use ◽  
Cad Cam ◽  
3D Printed ◽  
Printed Materials

The CAD/CAM techniques, especially additive manufacturing such as 3D printing, constitute an ever-growing part of obtaining different dental appliances and restorations. Of these, provisional restorations are of frequent use in daily dental practice and are the object of this study. Masticatory and parafunctional forces determine flexure on these prostheses. This study investigates the influence of the printing angle and loading direction of the applied force on the flexure strength of two commercially available printable resins—Detax Freeprint Temp and Nextdent MFH Vertex dental. Ten rectangular beam specimens printed at the angle of 0, 45 and 90 degrees were fabricated of each of these materials, with an addition of 10 at 0 degrees for the investigation of the load direction. Three-point bending tests were performed in a universal testing machine. Flexure strength, strain at break and Young’s modulus were determined and a statistical analysis was performed on the obtained data. According to the statistical analysis, the flexural strength has a significance dependence with respect to degrees of orientation, for both investigated materials.

Experimental Investigation of Alginate-Methylcellulose Composition and Printing Direction on Dimensional Accuracy of 3D Printed Constructs

2020 ◽  
Author(s):  
Ketan Thakare ◽  
Xingjian Wei ◽  
Laura Jerpseth ◽  
Zhijian Pei ◽  
Hongmin Qin
Keyword(s):  
Tissue Engineering ◽  
Experimental Investigation ◽  
Statistical Analysis ◽  
Measurement Data ◽  
Dimensional Accuracy ◽  
Significance Level ◽  
Width Measurement ◽  
3D Printed ◽  
Printing Direction

Abstract Bioprinting technology has a great potential in the fields of tissue engineering and regenerative medicine. In tissue engineering, for a bioprinted tissue to be successful in supporting regeneration of new tissue, it should morphologically mimic the native tissue in vivo. Therefore, the bioprinted tissue needs to be dimensionally accurate. In extrusion-based bioprinting, 3D printing process parameters and bioink properties affect dimensional accuracy of printed constructs. Currently, little information is available on effects of bioink composition and printing direction on dimensional accuracy of 3D printed constructs using alginate:methylcelluolose based bioink. In this study, strands were printed using four compositions of alginate:methylcellulose bioink and two printing directions. The four compositions of alginate:methylcellulose bioink were 1:1.5, 1:2, 1:2.5 and 1:3, and the two printing directions were vertical and horizontal. The statistical analysis of strand width measurement data revealed that while bioink composition has significant effect, printing direction does not affect the strand width of 3D printed constructs at the significance level of 0.05.

Effects of Extrusion Temperature and Printing Direction in Bioprinting on Profile Accuracy of 3D Printed Constructs

2019 ◽  
Author(s):  
Ketan Thakare ◽  
Xingjian Wei ◽  
Hongmin Qin ◽  
Zhijian Pei
Keyword(s):  
Statistical Analysis ◽  
3D Printing ◽  
Process Parameters ◽  
Dimensional Accuracy ◽  
Extrusion Temperature ◽  
Printing Process ◽  
3D Printed ◽  
Printing Direction ◽  
Profile Accuracy

Abstract In extrusion-based bioprinting, 3D printing process parameters affect dimensional accuracy of printed constructs. However, little information is currently available on effects of extrusion temperature and printing direction on dimensional accuracy of 3D printed constructs using Alginate:Methylcelluolose hydrogel. In this study, strand thickness of 3D printed constructs printed at temperature of 35°C, 40°C, 45°C and at vertical and horizontal printing direction were measured. The statistical analysis revealed that extrusion temperature and printing direction have significant effect on the strand thickness of 3D printed constructs.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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