Developing of Ultrasound Experimental Methods using Machine Learning Algorithms for Application of Temperature Monitoring of Nano-Bio-Composites Extrusion

In industry fiber degradation during processing of biocomposite in the extruder is a problem that requires a reliable solution to save time and money wasted on producing damaged material. In this thesis, We try to focus on a practical solution that can monitor the change in temperature that causes fiber degradation and material damage to stop it when it occurs. Ultrasound can be used to detect the temperature change inside the material during the process of material extrusion. A monitoring approach for the extruder process has been developed using ultrasound system and the techniques of machine learning algorithms. A measurement cell was built to form a dataset of ultrasound signals at different temperatures for analysis. Machine learning algorithms were applied through machine-learning algorithm’s platform to classify the dataset based on the temperature. The dataset was classified with accuracy 97% into two categories representing over and below damage temperature (190oc) ultrasound signal. This approach could be used in industry to send an alarm or a temperature control signal when material damage is detected. Biocomposite is at the core of automotive industry material research and development concentration. Melt mixing process was used to mix biocomposite material with multi-walled carbon nanotubes (MWCNTs) for the purpose of enhancing mechanical and thermal properties of biocomposite. The resulting composite nano-bio- composite was tested via different types of thermal and mechanical tests to evaluate its performance relative to biocomposite. The developed material showed enhancement in mechanical and thermal properties that considered a high potential for applications in the future

Dental disorders in dogs and cats: A retrospective study

The study was conducted on 289 clinical cases of dogs and cats admitted to the Clinic of Department of Surgery, Anesthesiology, and Radiology, Faculty of Veterinary Medicine, Zagazig University, over 18 months. Thorough oral, dental, and radiographic examinations were performed on all cases. Disorders were recorded in a predesigned survey sheet along with several factors such as breed, age, sex, diet, and body condition score. Cases were categorized into four groups according to age. The results revealed that 138 (47.75%) of the total cases have dental disorders, 81 (58.7%) males and 57 (41.3%) females. Periodontal diseases were the most recorded affection 128 cases. Among animals admitted to the department clinic, then dental plaque (111 cases). Animals on soft food diet among total affected cases recorded, 89 cases (64.5%), then mixed diet (soft and hard food) 40 cases 29% and the last group dry or hard diet, 9 cases only 6.5%. The most affected breeds were German shepherd dogs 5.797% and Shirazy cats 57.97%. Data statistical analysis showed that age and diet had (P<0.05), which means that these two factors impacted the occurrence of dental disorders, in contrast, sex had (P= 0.143), which indicates that sex statistically did not affect the occurrence of dental disorders, moreover a spearman correlation test was performed between age and dental disorders (P<0.05) and revealed that, with an increase in age, there is an increase in dental disorders

Microstructure and Properties of Hydroxyapatite Coatings Made by Aerosol Cold Spraying&ndash;Sintering Technology

Hydroxyapatite is a widely used material used for the bioactivation of an implant&rsquo;s surface. A promising hydroxyapatite coating approach is the kinetic deposition of powder particles. The possibility of solid-state deposition improvement through the merging of Aerosol Deposition and Low Pressure Cold Spraying techniques is a promising prospect for improving the deposition efficiency and the quality of coatings. The objective of the paper is to study the possibilities of hydroxyapatite coating structure modification through changes in the coating process and post-heat treatment. The novel Aerosol Cold Spraying system joining Low Pressure Cold Spraying and Aerosol Deposition was used for the deposition of coatings. The coating&rsquo;s post-processing was conducted using two techniques: Spark Plasma Sintering and Pressureless Sintering. The coating&rsquo;s structure was examined using scanning, transmission, and light microscopy, and X-ray diffraction. Substrate&ndash;coating bond strength was assessed using a tensile test. Homogenous buildup using Aerosol Cold Spraying of hydroxyapatite was achieved. Various pores and microcracks were visible in the sprayed coatings. The deposition process and the thermal post-processing did not lead to significant degradation of the hydroxyapatite phase. As a result of the Spark Plasma Sintering and Pressureless Sintering at 800 &deg;C, an increase in tensile adhesion bond strength and crystal size was obtained