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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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2021 - 20233
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Subject: Mathematics × Start date: 2020 ×
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    ThesisItemOpen Access
    A study on simulation techniques for queuing problems
    (CCSHAU, Hisar, 2022-12-07) Monika; Poonia, Hemant
    An important branch of Operations Research (OR) is Queuing Theory is also known as theory of waiting lines. The waiting time management plays a crucial role in today‟s competitive arena for optimizing the resources of an organization. The study on “A Study on Simulation Techniques for Queuing Problems” was planned to develop a Monte Carlo queuing model for assessment of queues and to analyze the waiting time in the warehouse. The arrival and service data for a season was gathered from a Warehouse in Tohana, Haryana. The model was used to analyze the queue characteristics like average arrival rate, average waiting time in queue, time spends in system and queue length or average number of conveyors in queue. It was found that the average number of arrivals was 2.6 conveyors/hr, number of customers waiting to be served in the queue were 14, the waiting time of the conveyors in the queue was 5.4 hrs and average time spends in the system was 5.8 hrs. The adequacy of developed model was tested using Little‟s law and it was found that the arrival rate obtained from the warehouse data is approximately same as the arrival rate achieved from the simulation.
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    ThesisItemOpen Access
    Heat transfer in nanofluids over different conformations with various effects
    (CCSHAU, Hisar, 2023-01) Pardeep Kumar; Poonia, Hemant
    The boundary layer flow, heat transfer flow, and mass transfer flow past a nanofluid due to different geometries have all been examined in the current study using numerical methods. The nanofluid flow saturated in different solid objects, such as stretching sheet, stretching cylinder, Riga plate, rotating disc, etc., are commonly used in many fields of engineering and manufacturing procedures. Numerous physical phenomena are involved in the various flow conditions, including the magnetic effect, velocity slip effect, thermal slip effect, suction/injection, Brownian motion and thermophoresis effects, porosity, heat generation/absorption, thermal radiation, Arrhenius energy, chemical reaction, viscous dissipation, Joule heating, and nanoparticle volume fraction, in nanofluid flow have been discussed. To investigate the variations in velocity profiles, temperature, and concentration distributions, the influences of these parameters are plotted and discussed. Moreover, the factors of engineering interest, such as skin friction coefficient, Nusselt and Sherwood numbers are studied and discussed in details. The system of governing non-linear partial differential equations is transformed into the system of coupled non-linear ordinary differential equations by applying an appropriate transformation. Then, the Runge-Kutta-Fehlberg method of fourth-fifth order along with shooting technique is used to solve them with the help of computing tools. Also, bvp4c, bvp5c MATLAB inbuilt solver are used. For validation of present numerical codes, the result are compared with previously published works. Thus, an excellent correlation between the current results and the available solutions in the literature is attained. The obtained results have huge significances in different fields of applied science and different branches of engineering and applied mathematics.
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    ThesisItemOpen Access
    Mathematical modeling for optimization of polyculture fish feed
    (CCSHAU, Hisar, 2021-09) Chetna; Tonk, Manju S.
    Linear programming is an important tool for optimization and shows considerable potential. It is a tool to find solution to a variety of very complex diet problems. In fish farming feed represents maximum of the production cost which increases cost of production. Nutritious diet plays an important role in fish farming for the optimal growth, health and life span of fish. The study on “Mathematical Modeling for optimization of polyculture fish feed” was planned to develop a linear programming model for feed formulation of polyculture fish farming. The data was collected from Dabra Shamsukh, Sundawas, Panihar chak,Rajli, Shahpur village and Bluebird lake of Hisar. The LP model based on farmer’s information was formulated and analyzed. The model suggested least cost composition with only one ingredient which was not practically acceptable because the farmers include all four ingredients. The model was modified using maximum/minimum constraints on ingredients quantity. Also the minimum nutrients’ constraints were relaxed. Three alternate feed plans were suggested for the polyculture fish (fry, fingerling and grower stage). The cost for farmer’s plan was found the highest in comparison to the other three stagewise feed mix plan. If the farmers use the recommendation of feed composition for fry which is maximum of all the three they can save at least ₹687.52 /100kg feed composition. Sensitivity analysis of the developed models showed minimum and maximum range of ingredients for feed mix, where the optimal LP solution will remain unchanged within these range of values of the ingredients