Experimental Study on Durability Strengthening of Concrete by Using Industry Metal Slag Waste Partially Replacement of Fine Aggregate
Authors: B. Antony Pradeep and Prof. R. Devi
Page No: 1-10
This paper present result of an experimental investigation carried out to evaluate effects of replacing aggregates (course& fine) with that of Slag (Crystallized & Granular) which is an industrial waste by product on concrete strength properties by using Taguchi’s approach of optimization. Whole study was done in three phases, in the first phase natural coarse aggregate was replaced by crystallized slag coarse aggregate keeping fine aggregate (natural sand) common in all the mixes, in the second phase fine aggregate (natural sand) was replaced by granular slag keeping natural coarse aggregate common in all the mixes and in the third phase both the aggregates were replaced by crystallized & granular aggregates. The study concluded that compressive strength of concrete did not improve almost all the % replacements of normal crushed coarse aggregate with crystallized slag by 5% to 7%. In case of replacements of fine aggregate and both type of aggregates, the strength improvements were notably noticed at 30% to 50% replacement level. It could also be said that full substitution of slag aggregate with normal crushed coarse aggregate improved the flexure and split tensile strength by 6% to 8% at all replacements and in case of replacing fine aggregate & both the aggregates( Fine & coarse) with slag, the strength improvement was at 30% to 50% replacements. It is evident from the investigation that Taguchi approach for optimization helped in indentifying the factors affecting the final outcomes. Based on the overall observations, it could be recommended that Slag could be effectively utilized as coarse & fine aggregates in all concrete applications.
B. Antony Pradeep and Prof. R. Devi. (2019). Experimental Study on Durability Strengthening of Concrete by Using Industry Metal Slag Waste Partially Replacement of Fine Aggregate. Journal of Computer Science, 19(2), 1-10.
Serial: 2
An Approach for Human Activity Recognition Using Supervised Machine Learning
Authors: Madhavi Jangam and Prof. Hirendra R. Hajare
Page No: 1-17
In this paper ,we are trying to build a classification model which will recognise the activities through the mobile sensor like walking ,walking_upstairs ,walking_downstairs ,sitting ,standing,lying.The topic Human Activity recognition is in research and has its own advantages like anomaly detection, for healthy diet maintenance fitness bands are used , measuring stress level ,for monitoring employees ,for heartbeat pulse rate etc. We are going to focus on the dataset which was carried out through experiments with a group of 30 volunteers wearing a smartphone on the waist. Using its embedded accelerometer and gyroscope.The experiments have been video-recorded to label the data manually.The main motto is to use the dataset and work with the libraries like scikit learn and machine learning related libraries and algorithms while training .
Madhavi Jangam and Prof. Hirendra R. Hajare. (2019). An Approach for Human Activity Recognition Using Supervised Machine Learning. Journal of Computer Science, 19(2), 1-17.
Serial: 3
Turning Constraints of Aluminium Alloy 7075 Using CNMG and VNMG Inserts.
Authors: Hiren Mandanka and Jaypalsinh Rana
Page No: 1-12
Almost 80% of a viable & Army airframe is made of aluminium alloys. It is predictable that the usage of aluminium alloy is to upsurge up to 70% by the year 2025. They are mainly used because of their high strength to weight ratio. This project presents a study of the cutting tool performance of an CNMG Carbide & VNMG carbide tool in operation on Al 7075, in which the volume of material removed and surface roughness were investigated. The machining tests were conducted on a CNC lathe machine to obtain the MRR and surface roughness of the Aluminium Alloy 7075 work piece material. The average surface roughness (Ra) was measured using a Mitutoyo surface roughness tester. The effect of these cutting constraints on each of these variables was examined, as well as the possible interrelation between them. The experimental results showing that the mechanical effects, produced by the feed, should not be neglected against the thermal effects, produced by the cutting speed, within the range of the tested cutting speed. 1.
Hiren Mandanka and Jaypalsinh Rana. (2019). Turning Constraints of Aluminium Alloy 7075 Using CNMG and VNMG Inserts.. Journal of Computer Science, 19(2), 1-12.
Serial: 4
Optimal Capacitor Placement in Distribution Systems for Power Loss Reduction and Voltage Profile Improvement Using Modified Cuckoo Search Algorithm
Authors: Gurpreet Kaur, Shivani Sehgal Mehta and Dr. Chintu Rza
Page No: 1-10
This paper discusses a novel and effective method for placing capacitors in radial distribution networks that regulate the optimum locations and size of capacitor with goal of refining the voltage profile and decreasing power losses. The solution procedure has two parts: in part one, the loss sensitivity factors are utilised to select the candidate locations for the capacitor placement and in part two modified cuckoo search algorithm is used to guess the ideal size of capacitors at the optimum buses determined in part one. The chief benefit of the proposed method is that it does not necessitate any exterior control parameters. The additional advantage is that it grips the objective function and the constraints separately, evading the worry to regulate the barrier factors. The proposed procedure is applied to diverse standard test systems as 34-bus and 85-bus radial distribution systems. The solutions obtained by the proposed method are compared with other methods.
Gurpreet Kaur, Shivani Sehgal Mehta and Dr. Chintu Rza. (2019). Optimal Capacitor Placement in Distribution Systems for Power Loss Reduction and Voltage Profile Improvement Using Modified Cuckoo Search Algorithm. Journal of Computer Science, 19(2), 1-10.