PROJECTS
Showcase of Recent Work

Configuring all axis of the Robotic Quadruped Arm with Sensors using Python, Raspberry Pi 4 and Arduino Mega 2560

Isometric view of CAD of the full assembly of Robotic Quadruped

Assembly design from the side.

Configuring all axis of the Robotic Quadruped Arm with Sensors using Python, Raspberry Pi 4 and Arduino Mega 2560
ROBOTIC QUADRUPED
Dissertation Project, Newcastle University, 2020
Designed a 12 axis Robotic Quadruped for general purpose applications such as Monitoring, Inspection, Delivery and Exploration.
Performed hand calculations and stress analysis on all the parts of the assembly and achieved a minimum of 1.57 Safety Factor.
Optimised and re-engineered the design to reduce weight and increase payload, speed and strength.
Calculated the torque requirements for each axis with desired speed and range of motion and selected appropriate actuators.
Programmed the actuators to communicate between electronics using I2C Bus Protocol and UART.
Designed the System Architecture for fast cycle-time and reliable performance.
Programmed action and motion planning including the PID feedback loops in Python and C on Raspberry Pi 4 and Arduino Mega 2560.
Tested and analysed the drivers, actuators and the entire suite of sensors used in the design of the robot.
Re-engineered and retested the new design based on the previous trials.
Manufactured and assembled one limb of the robotic quadruped for prototyping and trials.
Successfully tested and analysed the robotic limb prototype with all motors and sensors.

ROV after its initial runs for calibration and improvisation.

Moments before taking the ROV to the MATE International Competition.

After the trials at the MATE ROV International Championship in Kingsport.

ROV after its initial runs for calibration and improvisation.
UNDERWATER REMOTELY OPERATED VEHICLE
MATE International Championship, 2019
Responsible for making a robotic arm, deploy systems, gripper and manipulator for fully functional ROV (Remotedly Operated Vehicle).
Lead a team of more than 20 people for all the stages of development i.e. from conceptual design to manufacturing and testing.
Organised and planned regular meetings and communicated using Microsoft Teams and Microsoft Planner.
Communicated and integrated with other sub-teams i.e. Marine, Systems and Electrical Teams for optimised and efficient overall design.
Calculated the torque requirements for each axis with desired speed and range of motion and selected appropriate underwater motors and gearboxes.
Optimised and re-engineered the design to reduce weight and increase the reliability and strength.
Manufactured and Assembled the Robotic Arm and Deploy System.
Successfully Tested and Analysed the gripper, robotic arm and deploy system with all motors and sensors.

Image at Futuristic Siemens Digital Suite

Image of Siemens Mobility Factory, Chippenham

Image at Futuristic Siemens Digital Suite

Image at Futuristic Siemens Digital Suite
RAILWAY ASSETS OPTIMISATION & AUTOMATION SOFTWARE
Siemens Mobility, 2019
Attended multiple workshops to learn about existing technology at Siemens.
Analysed the workflow and identified the steps which can be automated to save time at the Solutions Architecture Department.
Communicated between engineers to understand the existing technology and mechanisms.
Planned my project to achieve key targets and meetings to present and implement my work.
Designed software architecture to reduce human interaction and automate the design process of railway architecture.
Programmed and delivered the software to cater to the needs of the users in the company.
Worked on a confidential Research project which gave me specialized technical skills.
Conducted 3 full-day workshops and documented my work for engineers to take over the project from me.

The front view of the Cart which shows its sensor suite and the symbol with mounted motors for wheels.

The side view of the Cart showing the electronics container and wires.

The isometric view of the Cart showing the electronics container, motor mounts and wires.

The front view of the Cart which shows its sensor suite and the symbol with mounted motors for wheels.
AUTONOMOUS ELECTRIC CART
Newcastle University, 2019
Designed, manufactured, programmed, and tested a small cart. The cart was equipped with multiple sensors which were used to make the cart autonomous in nature.
The cart was manually controlled by a joystick and was able to go autonomous mode at any given time.
The cart was equipped with SONAR, IMU, Encoders, Light Sensor and Limit Switch.
Using the sensors, the cart was programmed to autonomously navigate a few obstacle tracks.
PID Control was used for the cart.
The cart had a battery pack to power the electronics and motors.
The cart also had adaptive cruise control and many other assistive and safety features programmed in.
The cart used a magnetometer (IMU) to know its orientation to correct its path.
C++ language was used for programming.

Isometric CAD View of Final Assembly of Adjustable Fixtures mounted on the Factory Floor. Different colours represent different part families.

100 MPa of Maximum Von Mises Stress calculated using ANSYS Workbench on the main fabricated structural assembly.

Different colours represent different part families.

Isometric CAD View of Final Assembly of Adjustable Fixtures mounted on the Factory Floor. Different colours represent different part families.
HARDPOINT MEASURING SYSTEM WITH ADJUSTABLE TEST RIG
Gestamp, 2019
Designed a Hard Point Measuring System with Adjustable Test Rig which can adjust to the inaccuracies measured by the Hard Point Measuring System for Gestamp.
Adjustable Test Rig had three attachment points with rigid frame capable of taking about 100 kN.
Each attachment point had 4 degrees of freedom adjustments i.e. x-axis/y-axis/z-axis/rotation about one of the axes.
The assembly was >1 meter tall with an adjustment accuracy of <1mm.
The Hard Point Measuring System was designed to measure inaccuracies down to ± 0.1mm.
The assembly was tested in ANSYS for possible deformations and strength and optimised to suit the application.
The assembly was designed such that it could be cheaply manufactured. (Flame cut - Fabrication - Machining)

Point load was added on to the bridge until it failed. I was done to analyse the accuracy of our prediction and manufacturing capability.

Bridge was designed to take point-load in the centre.

Von Mises Stress Analysis performed to predict the failure load.

Point load was added on to the bridge until it failed. I was done to analyse the accuracy of our prediction and manufacturing capability.
Newcastle University, 2019
Designed and manufactured the strongest point-load bridge in the University.
Performed hand calculations and stress analysis on the CAD model of the Bridge.
Calculated and predicted the failure loads. The bridge had the highest theoretical strength to mass ratio of any bridge ever tested.
The bridge was designed to fail before 3 kN failure load; failed at 2.75 kN.
Lead the team of 4.
Manufactured using only 0.9 mm thick sheet metal aluminum and riveting.
Manufactured the whole bridge within 5 hours of team-work.

The Von-Mises Stress Analysis was performed to check for failure at 90 kN loads.

Image taken during the Failure Test of the Hook.

The Von-Mises Stress Analysis was performed to check for failure at 60 kN loads.

The Von-Mises Stress Analysis was performed to check for failure at 90 kN loads.
CRANE HOOK IN SHEET METAL
Newcastle University, 2019
Successfully designed, manufactured, predicted and tested a crane hook within specification.
Specifications for the hook:
Should yield after 30 kN.
Should yield before 60 kN.
Should fail before 90 kN.
Make as light as possible.
Design outcome:
Yielded at 47.3 kN force and Failed at 60.1 kN.
Mass: 0.597 g
Yield to Mass ratio: 79.3 kN/kg.
Predictions of the result were made using ANSYS Workbench and hand calculations.
All the aspects of the test results were within 10% of the predicted results.

Presenting 3D LED Matrix Cube with Turn-table

Team meeting just before the competition.

Showing the Gears used for Turntable.

Presenting 3D LED Matrix Cube with Turn-table
3D LED MATRIX WITH TURNTABLE
Sir William's Siemens Challenge, 2018
In a multidisciplinary team of 7 over the course of 48 hours, we created a 5x5x5 3D LED matrix which had a disc rotating around it. The complete product represented data from sensors around the building.
My task was to manufacture the complete product including designing the mechanism and structure which was done in Autodesk Inventor.

Isometric CAD view showing the Wheel, Chassis, Suspension, Upright, Hub and the CV Joint.

Isometric CAD view showing the Chassis, Suspension, Upright, Hub and the CV Joint.

Back CAD view showing the Chassis, Suspension, Upright, Hub and the CV Joint.

Isometric CAD view showing the Wheel, Chassis, Suspension, Upright, Hub and the CV Joint.
FORMULA CAR SUSPENSION DESIGN
Formula Student, Newcastle University, 2019
Designed and engineered a manufacturable Pushrod Suspension Assembly for high torque Formula Student Car.
Suspension Assembly Design Parts included the Hub, Upright, Pushrod, Rocker, Bearings, Brake Disk, Bearing Retainer Rings, Wishbone Rods, Mounts and Spring Suspension.
Calculated and optimised all wishbone member forces.
Redesigned the suspension and created a manufacturing plan for 5 per year suspensions to 1 million per year suspensions.
Created the entire 3D CAD of the suspension in 4 days in Autodesk Inventor Professional.
Performed Von-Mises Stress Analysis on critical components.

Robot Serving Beer using the Beer Tending Gripper

Isometric CAD View of the Gripper Enclosure.

Robot Serving Beer using the Beer Tending Gripper

Robot Serving Beer using the Beer Tending Gripper
KUKA BEER TENDING GRIPPER
Kuka Robotics, 2018
Designed a pneumatic gripper for holding beer bottles and glasses.
Equipped the gripper with soft closing, glass tilting support and push release features.
Designed a very aesthetically pleasing enclosure.
Manufactured the enclosure with CNC machining.

During the trials of sensors and body ergonomics.

Isometric CAD view of the Pen's full Assembly

Isometric view of the Pen's full Assembly

During the trials of sensors and body ergonomics.
SCRIBBLER TEXT RECOGNITION PEN
IIT Bombay, 2018
Designed a pen which recognizes the text written by using the data from movements while writing.
Worked in a team of 4 with software engineers.
Engineered the mechanism to have manual as well as automated control over the sensors.
Optimised the design to withstand necessary forces and enclose required sensors.
Manufactured and assembled the pen using 3D Printing at IIT Bombay Labs.
Tested and analysed the pen's data for further improvement.

Horizontal Axis Wind Turbine in Wind Tunnel during Trials

Horizontal Axis Wind Turbine in Wind Tunnel before Trials

Isometric CAD View of Horizontal Axis Wind Turbine during design phase

Horizontal Axis Wind Turbine in Wind Tunnel during Trials
MINIATURE HORIZONTAL AXIS WIND TURBINE
Newcastle University, 2017
Created a Horizontal Axis Wind Turbine in a team of 4.
Designed and Manufactured the Turbine in a span of 4 months.
Updated the design according to requirements often to achieve the most efficient product in the given time and budget.
Became the first successful team to manufacture and test the turbine in the entire batch.

Poster showing the design features of the Pipe Climber

Manufactured Assembly of the Pipe Climber

With Pipe Climber Poster during IMechE Design Challenge

Poster showing the design features of the Pipe Climber
EXTERNALÂ PIPE CLIMBER
IMechE Design Challenge, 2017
Made a Pipe Climber which can climb a pipe externally with a payload of 1kg.
Battery life of 5 hours.
The climber was made using only £25.

















