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Benjamin James
Benjamin James

Origin Graphing Software: A Powerful Tool for Data Analysis and Visualization

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Origin graphing software crack


Older (.OPJ), but not newer (.OPJU), Origin project files can be read by the open-source LabPlot or SciDAVis software. The files can also be read by QtiPlot but only with a paid "Pro" version. Finally the liborigin[1] library can also read .OPJ files such as by using the opj2dat script, which exports the data tables contained in the file.

There is an origin file viewer to see data and charts made with origin. The actual software is Version 9.6.5. This software can convert newer OPJU files to older OPJ files for older versions of Origin. [3]

Origin is a data analysis and graphing software. It reduces large datasheets and has all associated graphs and analysis results automatically updated when the filter condition is applied. Lots of features are available in this software like data filter, floating graphs in worksheets, Implicit function fitting, etc.

You need to get the cracked version of OriginPro 9.0 file either from a friend or you may also buy one if money is not an issue. Both 32-bit and 64-bit versions of this software are available easily. After this, you need to install it on your PC. Here I will guide you specifically on the installation of OriginPro9.0.

"Origin is the data analysis and graphing software with an easy-to-use interface for beginners, combined with the ability to perform advanced customization as you become more familiar with the application.

Figure 9 shows an example of the fracture surface of the Bi,A specimen (SEM photograph) which broke in air at room temperature. The experimental conditions were σmax = 330 MPa and Nf = 7 105. The fatigue surface crack originated from the crack origin (yellow arrow) and grew downward, as depicted in the figure. The multiple white arrows in the figure indicate the shapes of the surface cracks. The length/depth ratio of the surface crack was approximately 0.49. At this point, crack length 2a on the specimen surface was approximately 200 μm. Although the figure has been omitted, the same observation results as aforementioned were obtained for other surface cracks as well. Therefore, K was calculated using Equation (1) for the surface crack shape, that is, in a semicircular shape.

The development focuses on taking advantage of the quality and versatility of the haptic interface. As a first step towards haptically rendering an n dimensional data set, a two dimensional, haptic graphing system is designed. The two dimensional plot is defined on a virtual wall, hereafter known as the plot wall. All virtual walls are defined by the plane equation Ax + By +Cz + D = 0. Due to the bandwidth constraints mentioned above, the force calculated is proportional to the distance of the IP into an object surface (the spring model F=kx). Once the wall is placed, the origin of the graph is selected, which provides the matrix to transform the data into the coordinate system of the haptic interface. Ideally, a haptic plot can be added to any virtual environment, so a bounding box is placed around the graph for basic collision detection, which determines force vectors. In this manner, collision detection for the individual graph items is not computed until the IP is within the bounding box, therefore saving valuable computation time within a complex VE.

Abstract:The importance of Non-Destructive Testing (NDT) to check the integrity of materials in different fields of industry has increased significantly in recent years. Actually, industry demands NDT methods that allow fast (preferably non-contact) detection and localization of early-stage defects with easy-to-interpret results, so that even a non-expert field worker can carry out the testing. The main challenge is to combine as many of these requirements into one single technique. The concept of acoustic cameras, developed for low frequency NDT, meets most of the above-mentioned requirements. These cameras make use of an array of microphones to visualize noise sources by estimating the Direction Of Arrival (DOA) of the impinging sound waves. Until now, however, because of limitations in the frequency range and the lack of integrated nonlinear post-processing, acoustic camera systems have never been used for the localization of incipient damage. The goal of the current paper is to numerically investigate the capabilities of locating incipient damage by measuring the nonlinear airborne emission of the defect using a non-contact ultrasonic sensor array. We will consider a simple case of a sample with a single near-surface crack and prove that after efficient excitation of the defect sample, the nonlinear defect responses can be detected by a uniform linear sensor array. These responses are then used to determine the location of the defect by means of three different DOA algorithms. The results obtained in this study can be considered as a first step towards the development of a nonlinear ultrasonic camera system, comprising the ultrasonic sensor array as the hardware and nonlinear post-processing and source localization software.Keywords: non-destructive testing; Nonlinear Air-Coupled Emission (NACE); crack localization; Direction Of Arrival (DOA); ultrasonic sensor array


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