Ph.D. (07/2022 - Present)

IIT Kharagpur

Specialization - Farm Machinery and Power

M.Tech. (09/2020-05/2022)  

CGPA-9.22/10

Specialization - Farm Machinery and Power

B.Tech. (08/2016-07/2020)

CGPA-8.483/10 (Gold Medalist)

Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

Specialization -  Agricultural Engineering

• Training  CFMTTI, Budni 

05/2019 - 06/2019

Outcomes - Learnt about practical aspects of farm machinery equipment.

• Content Developer Executive, AceScape Education Management Firm

15/11/2022 - 15/02/2023

Outcomes- Developed content for GATE AG preparation.

M. Tech. Project:  Optimal Path Planning for Laser Land Leveling Operation using Graph Theory

Objectives: 

1. To develop a graph theory based algorithm for generating the shortest navigation path having equal cut fill ratio during the levelling operation.

2. To trace an optimal navigation path for a given soil profile using the developed graph theory algorithms.

3. To compare the performance of the developed graph theory algorithms for the optimal navigation path to reduce the travel path distance and equal cut fill ratio.

Conclusions:

1. The developed genetic algorithm was able to generate an optimal navigation path for the given fields with latitude, longitude and unlevelled contour. The optimal travel path generated by the algorithm was based on the minimum travel distance and equal cut and fill volumes.

2. The optimal levelling operation had a maximum cut of 394.85 mm, 55 mm, 611 mm and a maximum depth of fill 345.78 mm, 34 mm, 618 mm from the reference plane with a cut-fill ratio equal to one for the selected fields of 25 m × 35 m, 20 m× 25 m, 33.75 m × 20.25 m respectively.

3. The level of the reference plane was found to be 1.555 m, 2.744 m, 1.788 m respectively in these fields from the bench mark at which the laser leveler (laser beam) should be set before levelling operation.

4. The distance travelled through the optimal path was 688 m, 394 m and 496 m in case of the selected fields respectively. Distance travelled for levelling the field through traditional levelling method was 10,640 m, 4,350 m and 8013 m respectively in case of the selected fields. The distance travelled through traditional levelling path was 15.465, 11.06 and 16.155 times of optimal path. The time required to level the field was 2.66 hours, 1.0875 hours and 2.0 hours through traditional levelling path and time required for optimal path was 10.32 min, 5.91 min and 7.44 min which was 6.466 %, 9.057 % and 6.2 % of traditional levelling path.

5. Graphic User Interface was developed for implementation of genetic algorithm for laser land leveler operation. The program was able to acquire requisite data and generate the desired path in visually interpretable form and location coordinates.

6. Android application was developed for output path display and displaying various optimal path specifications generated by using genetic algorithm. The developed android app   was able to transmit real time graphics obtained from developed GUI in Java platform into the android app.

B.Tech. Project: Design, Simulation and Finite Element Analysis of Flexible Shaft Power Pruner

Objectives: 

1. Development of a mobile power pruner capable of performing pruning tasks while accommodating various cutting angles.

2. To construct a mobile platform integrating a driving engine and an adaptable tree pruner, utilizing a flexible shaft for effective operation.

3. To enable the power pruner to facilitate hedge shaping, branch sawing, and tree pruning, maintaining the capability to cut at any desired angle.

Conclusions:

1. Successful creation and simulation of a flexible shaft power pruner design using Autocad 3D modeling software, utilizing dimensions from pre-existing individual machine components.

2. Application of Finite Element Analysis (FEA) through Catia V5 to validate the design and obtain verified dimensions for the manufacturing phase.

3. Utilization of FEA, employing the Finite Element Method, to simulate various stress conditions on key components such as the flexible shaft, ball bearings, operating handle, circular saw blade, and flexible coupling.

4. Validation of stress-bearing components in Catia V5 according to industry-standard codes, ensuring their structural integrity under simulated stress conditions.

5. The validated design, coupled with tested component dimensions, is ready for real-world manufacturing and testing, promising functionality under practical conditions.

1.  PMRF Fellow (Cycle -11)

2.  GATE 2020 AIR-31

3.  B.Tech. Agricultural Engineering Gold Medalist

4. Merit Scholarship Awardee during B.Tech. programme (2016-2020)