Film Cooling Method In Liquid Rocket Engine

Design Criteria, Experimental Studies of Supersonic Shock Wave Interaction with Film Cooling, and High-Pressure Subscale Combustion Chamber of Film Cooling Liquid-Propellant Rocket Engines are all covered in this review study. Using earth-storable, space-storable, and cryogenic propellant combinations, the study establishes the applicability of film cooling to rocket engines in the high thrust range. The study\u27s findings are given in this publication. Additionally, data from studies mixing different types of propellant were used to evaluate the analytical model\u27s accuracy. Tests employing supersonic film cooling were done in the wind tunnel to investigate the impact of external shock waves on supersonic film cooling. The coolant injection was carried out at a supersonic speed. Furthermore, we discuss the important factors that impact film cooling, such as the efficacy of the injected film and the reduction in wall temperature. A high-pressure subscale combustion chamber was used in conjunction with a combination of cryogenic propellants to conduct the experimental investigation. It is critical to consider the increase in the coefficient of heat transfer

Design and Performance of Hypersonic Intake for Scramjet Engine

Rockets are the only vehicles to reach hypersonic speeds with non-airbreathing engines carrying both fuel and oxidizer increasing budget of space exploration. So, the desire to achieve hypersonic speeds at low cost has led to the development of air-breathing engines known as supersonic combustion ramjet engines or scramjet engines. The most complex part in the development of the scramjet engine is the intake. Free-stream hypersonic speed flow will be compressed in intake and processed into the combustor as per the required pressure and temperature. The high-pressurized flow can be provided to the combustor based on the strength of shocks attained in the intake due to ramps. So, the design of intake depends on the number of ramps and the angle of ramp, which decides the strength of shock for compression. All the scramjet intakes designed based on oblique shock theory will start efficiently in the designed conditions, but the main problem is unstarting the performance of intake at off-design conditions. It is very important to know the flow behavior at off-design conditions to enhance the operating range of the engine. So, in this chapter, a detailed procedure for the design of hypersonic intake and techniques to mitigate the unstarting conditions of scramjet engines is discussed

Strategic Improvements for Gross Anatomy Web-Based Teaching

Current generations of graduate students have been immersed in technology from their early school years and have high expectations regarding digital resources. To better meet the expectations of Gross Anatomy students at our institution, electronic radiology teaching files for first-year coursework were organized into a web site. The web site was custom designed to provide material that directly correlated to the Gross Anatomy dissection and lectures. Quick links provided sets of images grouped by anatomic location. Additionally, Lab and Study Companions provided specific material for the students to review prior to and after lectures and gross dissections. Student opinions of this education resource were compared to student opinions of the prior year's digital teaching files. The new content was ranked as more user friendly (3.1 points versus 2.3 points) and more useful for learning anatomy (3.3 points versus 2.6 points). Many students reported that using the web portal was critical in helping them to better understand relationships of anatomical structures. These findings suggest that a well-organized web portal can provide a user-friendly, valuable educational resource for medical students who are studying Gross Anatomy

Corticomedullary Strain Ratio

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135508/1/jum201332101769.pd

A Web-Based Flexible Communication System in Radiology

A web-based system for rapid multidirectional communication has been created in the Radiology department at San Francisco General Hospital. The system allows messaging among radiology attendings, residents, and technologists, as well as other members of the hospital community, such as Emergency Department physicians and nurses. Instead of being tied to a particular workflow, this system provides a flexible communication infrastructure which can be easily adapted for different functions and user roles. The system has so far been configured to successfully support the standard “wet reading” workflow, to support marking and tracking of critical results, as well as multiple educational and quality improvement workflows. In the 19 months of operation, the system has gained over 1,800 users (virtually all providers at our institution), it has been accessed by radiologists over 39,000 times and by non-radiologists over 34,000 times. It has become an integral part of the radiology department operations and non-radiology clinical workflows. Unlike most existing softwares, our system is not a task-specific application, but a multipurpose communication system. It is able to effectively accommodate multiple workflows and user roles through configuration (without additional programming). This flexibility has helped this system to be rapidly and widely adopted within our enterprise. The extended reach of the system enables improved monitoring and documentation of workflows, helping with management decision making, and quality assurance. We report a successful radiology communication system based on the principles of flexibility and inclusiveness of users inside and outside the radiology department

Segmentation of the lacunar canalicular network in diabetic rat bone

posterThe lacunar canalicular network (LCN) is a 3D microscopic structure in bone consisting of various features essential to maintaining bone health. This network may be disrupted in diseases that impact the bone, such as diabetes. The LCN can be imaged using confocal laser scanning microscopy. With these images, proper segmentation is required to conduct quantitative analysis to detect whether there is a disruption in the lacunar canalicular network in rats with diabetes compared to rats without diabetes. Segmentation of the LCN is a challenging task due to noise and non-uniform brightness in the image. To overcome these challenges, we identified a combination of image filters to accelerate the segmentation and improve the accuracy of segmentation. To further accelerate the segmentation process, we explored deep learning as a solution to automatically segment the images. Good segmentation was achieved using the U-net neural network architecture. The U-net segmented images with minor manual adjustments were of acceptable quality for further analysis