Real-time measurement of biaxial tensions using digital image correlation methods

The mechanical properties of biological materials need to be measured for various applications. A means of inducing biaxial tensions in samples like these is with an inflation or bulge test. Normally the material under test would be measured with displacement gauges, however, under these conditions, where the specimen is soft and further, where the measurement cycle cannot be reliably paused, a contactless real-time measurement system is necessary to obtain reliable deformation data. Digital Image Correlation (DIC) is one such method. Pioneered in the 1980s the field has developed from basic 2D displacement measurements to very sophisticated full field 3D displacement measurement systems. The question becomes can the current state of the field, as well as the advances in modern technology, be leveraged to create a useable 3D DIC measurement system that is: • Useable in a real-time context. • Portable enough to be able to run these experiments wherever the experiment apparatus is located. • Cost effective enough to reduce the barrier to entry that the current commercial options present. To this end off-the-shelf components were acquired to form the technology base of the system. The open-source DICe framework, which enabled the necessary level of access to the underlying code base, was implemented on an NVIDIA Jetson Nano single board computer. Synchronised, stereo image acquisition was implemented via an Arducam 12 MP camera system. A stepper motor controlled linear drive was used to experimentally investigate accuracy and speed of the DIC system, for both rigid body motion and deforming targets. A thorough review of the concepts involved in DIC is undertaken followed by a detailed description of the design and build of the system. Ultimately a set of experiments are executed that show that, within a set of important constraints, it is indeed possible to run 3D DIC in real-time with off the shelf, cost effective components

The 4-H baby beef project

At head of title: University of Missouri College of Agriculture, Agricultural Extension Service."January, 1949.""University of Missouri College of Agriculture and the United States Department of Agriculture Cooperating"--Page [24].Title from cover

Control of household insects

The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311

Killing rats

The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311

Keeping hogs free of parasites

The Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311

Design and Control Using Stochastic Models of Deposition Reactors

The financial feasibility of the creation of a start-up company to sell software developed for the optimization and in-line control of thin film growth in deposition processes was investigated. An analysis of the current marketplace revealed potential for a small start-up company to be competitive with this novel product. The investigation concluded an IRR of 20% for a five year period before possible sale of the company. The kinetic Monte Carlo method was employed as the basis for all simulations in this work. This method retains atomic scale information while enabling simulation of process relevant features such as roughness, growth rate and efficiency. A model predictive controller was designed to reproducibly generate thin films with desired properties under a variety of initial condition disturbances for both single component and multi component systems. The substrate temperature and gas flux were employed as control variables. The control algorithms were investigated using a sensitivity analysis and shown to be robust under a wide range of conditions