Engineering Journal

Friday, December 11, 2020

Implementation of Plastic Waste in Manufacturing of Paving Blocks for Different Shapes

Block Paving is a commonly used decorative method of creating a pavement or hard standing. The main benefit of Paving Blocks Over other materials is that it can later be replaced. Also from Asthetic point of view, Pavers are good. Paving Blocks are generally used for Pedestrian, Parking, etc. Different types of manufacturing methods are now carried out to use some non degrade able material. Plastic Waste is increasing day by day which pollutes the environment. So, it is very much important to implement these waste material such that it can be used for different purposes like recycling and reusing. The disposal of waste plastics PET, PP, etc. is a biggest challenge, as repeated recycling of PET bottles poses a potential danger of being transformed to a carcinogenic material and only a small proportion of PET bottles are being recycled. Because of costly conventional recycling techniques, there has been an increased demand for more scientific and innovative technologies to effectively recycle these materials. But it is not completely possible to reuse and recycle those waste again and again due to danger of cancer. In this project we will use plastic waste in the manufacturing of paving blocks for different shapes and compare their strengths.

by Rugved G. Wankhade | Dr. S. G. Makarande | Prof. R. S. Kedar "Implementation of Plastic Waste in Manufacturing of Paving Blocks for Different Shapes"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38110.pdf

Paper URL : https://www.ijtsrd.com/engineering/structural-engineering/38110/implementation-of-plastic-waste-in-manufacturing-of-paving-blocks-for-different-shapes/rugved-g-wankhade

callforpaperchemistry, chemistryjournal, openaccessjournalofchemistry

Dynamic Heat Transfer modeling, and Simulation of Biomass Fermentation during Beer Processing

The study focuses on the modeling of the temperature profile during the fermentation of beer and the selection of the modelled temperature to simulate the growth of a microorganism, the consumption of proteins and the formation of aromatic compounds ketone and esters . The objective of the study was to determine how to select the best temperature for beer fermentation and how a portion of the biochemical reaction occurs with the controlled selected temperature. Finite element modelling has been used for heat transfer modelling and COMSOL Multiphysics version 5.3 has been used for implementation. Version 17 of MATLAB was used to simulate biochemical changes with the chosen temperature. The simulated results showed that at high coolant flow, a low temperature profile was recorded over the fermentation time. As such, the observed temperatures were 1.2m3 hr, 1.3m3 hr and 1.6m3 h, 20 oC, 18 oC and 12.5 oC, respectively. The modelled vorticity results also indicated that at a flow rate of 1.2m3 hr, there was a consistent flow of liquid around the agitation center relative to other coolant flows. Isoleucine was exhausted after 13hr at 12.5Â°C, 80hr at 18Â°C and 16hr at 20Â°C from the start of fermentation. The simulated results also indicated that ethyl acetate had reached a hold back value of 0.114mol m3 at 70hr at 12.5oC, 30hr at 18oC, and 22hr at 20oC. However, isoamyl acetate retained a retention value of 0.0105 mol m3 until the initial concentration of sugar and amino acids was exhausted throughout fermentation at all selected temperatures. Valine decreased to nearly 195hr at 12.5Â°C, 120hr at 18Â°C and 85hr at 20Â°C. The simulated nutrient results were again shown to be zero in 210hr at 12.5Â°C, 110hr at 18Â°C and 90hr at 20Â°C of luicine consumption.

by Bayisa Dame Tesema | Solomon Workneh | Carlos Omar "Dynamic Heat Transfer modeling, and Simulation of Biomass Fermentation during Beer Processing"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38009.pdf

Paper URL : https://www.ijtsrd.com/engineering/chemical-engineering/38009/dynamic-heat-transfer-modeling-and-simulation-of-biomass-fermentation-during-beer-processing/bayisa-dame-tesema

internationaljournalofmanagement, callforpapermanagement, managementjournal

Thursday, December 10, 2020

Gas Bubble Tracking During Casting Filling Process

During numerical simulation, one of the biggest challenges is to simulate the smallest air bubbles that can be entrained in the metal. In fact, in common fluid dynamic simulation of casting process filling each time a region of air gets smaller than the element size it disappears, losing all the information about its presence and the possible defects that this implies. If the engineers with enough experience and good background, who can track the regions of air entrapped during the filling process and check manually where they, especially the last ones, close up and disappear. However, this approach is too approximated and does not keep in account the final movement displacement of the bubble.

by Dr. Xiaojun Yang | Miss. Rajeshwari Sanjay Rawal "Gas Bubble Tracking During Casting Filling Process"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38111.pdf

Paper URL : https://www.ijtsrd.com/engineering/mechanical-engineering/38111/gas-bubble-tracking-during-casting-filling-process/dr-xiaojun-yang

callforpaperinternationaljournal, ugclistofjournals, bestinternationaljournal

Determination of Various Diseases in Two Most Consumed Fruits using Artificial Neural Networks and Deep Learning Techniques

Fruit diseases are manifested by deformations during or after harvesting the components in the fruit, when the infestation is caused by spores, fungi, insects or other contaminants. In early agricultural practices, it is thought that non destructive examination is possible with the analysis of pre harvest fruit leaves and early diagnosis of the disease, while post harvest detection and classification of fruit disease is possible by evaluating simple image processing techniques. Diseases of rotten or stained fruits without destruction. In this way, the disease will be identified and classified and the awareness of the producer for the next harvest will be provided. For this purpose, studies were carried out with apple and quince fruit, images were determined using still fruit pictures and machine learning, and disease classification was provided with labels. Image processing techniques are a system that detects disease made to a real time camera and prints it on the screen. Within the scope of this study, the data set was created and images of 22 apples and 18 quinces were taken. The image was classified by similarities in the literature review. The success of the proposed Convolutional Neural Network architecture in recognizing the disease was evaluated. By comparing the trained network, AlexNet architecture, with the proposed architecture, it has been determined that the success of image recognition has increased with the proposed method.

by Aysun Yilmaz Kizilboga | Atilla ErgÃ¼zen | Erdal Erdal "Determination of Various Diseases in Two Most Consumed Fruits using Artificial Neural Networks and Deep Learning Techniques"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38128.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38128/determination-of-various-diseases-in-two-most-consumed-fruits-using-artificial-neural-networks-and-deep-learning-techniques/aysun-yilmaz-kizilboga

ugcjournallist, listofugcapprovedjournals, researchpublication

Wednesday, December 9, 2020

Experimental Investigation of Strength Comparison of Various Percentages of Sawdust Added Clay Bricks

Now days the use of clay bricks in building construction is widely used. Such a time clay bricks to be used in better option of building construction as examining compared to the conventional clay bricks which is made by only on clay bricks in a cost view of point and better suitability. India is a developing country so here the construction of compound walls and building plays an important role. Nowadays most of the work related with building is done. Thus the clay bricks is light weighted and then to be used another option of prefabricated compound wall construction. This experimental investigation design bricks by using Indian standard code of dimension 230mm x 110mm x 75mm. In this project main mix design proportions is 2 , 3 , 6 and 9 of sawdust with jaggery water mixer. Ultimate aim of this study is to increase the compressive strength and weight to be reduction of clay bricks and to reduce the waste materials available in saw mills and timber industries. Then the water absorption to be noted and examine strength comparison in the specimen tests.

by Dr. S. S. Syed Enayathali | Dr. V. Sathish Kumar "Experimental Investigation of Strength Comparison of Various Percentages of Sawdust Added Clay Bricks"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38198.pdf

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/38198/experimental-investigation-of-strength-comparison-of-various-percentages-of-sawdust-added-clay-bricks/dr-s-s-syed-enayathali

openaccessjournalofengineering, engineeringjournal, paperpublicationforengineering

Using Mask R CNN to Isolate PV Panels from Background Object in Images

Identifying foreground objects in an image is one of the most common operations used in image processing. In this work, Mask R CNN algorithm is used to identify solar photovoltaic PV panels in aerial images and create a mask that can be used to remove the background from the images. This allows processing the PV panels separately. Using ML to solve this problem can generate more accurate results in comparison to more traditional image processing techniques like using edge detection or Gaussian filtering especially in images where the view might not be easily separable from the objects of interest. The trained model was found to be successful in detecting the PV panels and selecting the pixels that belong to them while ignoring the background pixels. This kind of work can be useful in collecting information about PV installation present in aerial or satellite imagery, or in analyzing the health and integrity of PV modules in large scale installations e.g., in a solar power plant. The results show that this method is effective with a high potential for improved results if the model is trained using larger and more diverse datasets.

by Muhammet Sait | Atilla Erguzen | Erdal Erdal "Using Mask R-CNN to Isolate PV Panels from Background Object in Images"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd38173.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38173/using-mask-rcnn-to-isolate-pv-panels-from-background-object-in-images/muhammet-sait

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience

A Study of EEG Based MI BCI for Imaginary Vowels and Words

Some people may have congenital or acquired biological or physical disabilities. For individuals in this situation, some positive developments are experienced with the advancement of technology. One of these developments can be considered today as BCI Brain Computer Interface .BCI systems can be divided into invasive and non invasive. Different techniques are used to obtain brain activities in non invasive BCI systems. Some of these techniques are EEG, ECoG, fNIRS, MEG, PET, MRI. Among these techniques, EEG and fNIRS are often preferred because of their easy applicability compared to other techniques. In this study, EEG based motor imagery BCI system is used. In this study, an experimental BCI system has been developed in which Turkish vowels that individuals say imaginatively are perceived over the EEG signal. In the methods section of this article, information is given about the experimental environment and techniques used in the study. The results obtained with the designed system are included in the results section. In the conclusion part, a general evaluation of the study is made and improvements that can be made to improve it are emphasized.