Machining hardened steels is always difficult because of its excessive heat generation. That is why, the application of cutting fluid in machining hardened steel is noted for eliminating defects triggered by the high cutting temperature. In this respect, the aim of this paper is to present a stable high volume carbon nanotube based nanofluid which will act as an efficient cutting fluid and perform better than conventional cutting fluid. To fulfill this purpose, the samples with different volumes of Carbon nanotubes were made and their stability was analyzed. Both the sedimentation and zeta potential analysis proved that the sample made with less than 0.4% volume CNTs shows higher stability. Conventional cutting fluid was made with oil mixed in water and compared its properties to all nano fluid samples. All the nano fluid samples showed higher thermal conductivity and lower viscosity than conventional cutting fluid. Furthermore, a milling operation on 42CrMo4 hardened steel material was performed without any fluid, with conventional (Aquatex 3180 oil based cutting fluid) and with nano fluid. Nano fluid was delivered internally to the cutting zone by using a specially designed liquid applicator. Maximum 29% reduction in cutting temperature, 34% reduction in surface roughness, 33% reduction in cutting force and 39% reduction in tool wear was obtained by using the 0.3 vol% nanofluid sample. So, it can be concluded that the 0.3% volume carbon nanotubes based cutting fluid is an appropriate choice to be used in machining hardened materials.
Introduction: Broad ligament pregnancy also known as inter ligamentous pregnancy is a rare type of ectopic pregnancy. It is one type of secondary abdominal pregnancy. Although ultrasonography is usually helpful in making the diagnosis but it is mostly established during laparotomy. Very few successful live births have been reported in this condition, where such pregnancies reached term and with live birth of a baby.
Case Report: A case of 30 year old 2nd gravida of 38 weeks gestation with lower abdominal pain for 20 hours was admitted into Sher-E-Bangla Medical College Hospital, Barishal; Bangladesh. She was suggested for caesarean section as the ultrasonogram revealed transverse lie with complete placenta praevia. Intraoperative diagnosis of right sided broad ligament pregnancy was made and an incision was given on the anterior leaf of the broad ligament and a male live fetus was extracted. Post operative period was uneventful. Both mother and baby were discharged on seventh postoperative day in good health condition.
Discussion: Broad ligament pregnancy usually results from rupture of tubal pregnancy through the tubal serosa and the mesosalpinx, with secondary implantation of trophoblast between the leaves of broad ligament. Incidence of broad ligament pregnancy is reported as 1 in 300 ectopic pregnancies. The prognosis is poor with the risk of dying from an abdominal pregnancy is 7.7 times higher than from other forms of ectopic pregnancy and often results from a delay in diagnosis. Trans-vaginal rather than transabdominal ultrasonography is superior in the evaluation of ectopic pregnancy. If there is no intrauterine pregnancy on ultrasonography and the ectopic sac is beside the lower part of the uterus a strong suspicion of broad ligament ectopic should be considered. Very rarely such pregnancy may reach up to term. Bleeding from placental implantation site is the most life-threatening complication during laparotomy.
Conclusion: Abdominal pregnancy with resultant healthy newborn is very rare. High level of suspicion, careful clinical and ultrasound examinations are the routine means of diagnosis. Bleeding is the single most important life-threatening complication for the mother. Early diagnosis and proper management are vital in order to decrease maternal morbidity.
Medicine Today 2019 Vol.31(1): 60-63
Coastal fish is one of the prominent marine resources, which takes a necessary role in the economic growth of a country. Because of environmental issues along with other reasons, not only most of the marine resources are diminishing but also many coastal fishes are getting extinct gradually. As a result, the young peoples have insufficient knowledge of coastal fish. This issue can be solved with the use of vision-based technologies. To deal with this situation, a coastal fish recognition system based on machine vision is conceived, which can be approached by the images of coastal fish that are captured with a portable device and identify the fish to recognize fish. Numerous experimental analyses are executed to exhibit the benefit of this proposed expert system. In the beginning, conversion of a color image into a gray-scale image occurs and the gray-scale histogram is developed. Using the histogram-based method, image segmentation is conducted. After that, a set of thirteen features comprising of four classes is extracted to be fed to a classifier. For reducing the number of features, PCA is applied. To recognize coastal fish, three cutting-edge classifiers are performed, where k-NN provides a potential accuracy of up to 98.7%.
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