This project proposes different methods to reduce the friction and parasitic losses in modern heavy-duty diesel engine. The solutions suggested can be classified into the four following categories:

• Design: Pressure actuated piston ring design

• Surface finish: Using partial Laser surface texturing (LST) for piston rings and using suspension plasma-sprayed insulated pistons

• Materials: Using the copper dispersion-strengthened composite material for friction pairs and valve guides

• Lubrication: Increasing the media supply temperature, using an ultra-low viscous lubricant(0W20) with a suitable additive (zinc dialkyldithiophosphate (ZDDP)) and using appropriate nanomaterials as lubricant additives

In this project, we designed a disc shaped Cam and flat faced shape follower which can be used in Internal combustion engines (ICE).  The design of the model was carried out using SOLIDWORKS 2018 and the transient state analysis was carried out using ANSYS 2018. As a completion step to this project, we also developed the G-codes for CNC machining of the parts and also we calculated the fabrication cost using the software CURA by Ultimaker.

This report explores the evolution of valve spring materials, highlighting the continuous advancements that have led to the replacement of older materials with superior ones. The report then delves into the design and performance analysis of valve springs using various materials. The design process employs principles from machine design, involving numerical calculations of stress and dimensional requirements. The design is created using SOLIDWORKS 2021 and analyzed using ANSYS 18.1 finite element software.

In this project, I successfully designed and fabricated a lab scale prototype of floor cleaning robot that can be controlled using a remote controller. The designing was carried out in SOLIDWORKS 2018 and the programming was done using Python.

This project was my final year bachelor thesis. under this project, me along with my team members designed and fabricated a lab sclae prototype of magnetic gear which is capable of torque transmission without contact. Hence, the frictional losses during torque transmission can be avoided and the energy transmission efficiency of the gear system can be increased.

This project was mainly focused on developing an Power hammering machine using the cam-follower mechanism. With the fundamentals of machine design and manufacturing sciences, we successfully designed an Power hammering machine.

This project presents a method for solving a construction planning problem in a housing development project using a mathematical model for dividing house construction jobs to multiple contractors in a project case study and then using the linear integer programming technique to spotlight decision making application for optimizing competitive bidding strategy to select the best tender. Mathematical models are formulated for analysis in dividing house construction jobs to contractors in a housing development project case study, and numbers of the house construction jobs for the contractors are also determined for which the cost is minimum. Therefore, the project manager or decision maker can use this concept for getting the best project cost.

This project presents a novel technique called GABFCov-19, which utilizes genetic algorithms to generate high-probability positive cases and thereby reduce community spread. GABFCov-19 extends contact tracing by identifying clusters of proximity users and representing them as chromosomes. These chromosomes undergo selection, crossover, and mutation operations to classify proximity users as low, moderate, or high risk. This information enables the creation and implementation of a region-specific epidemiological model on a 2D lattice using probabilistic cellular automata (PCA). The epidemiological model categorizes the population based on infection status, symptoms, mortality, etc., while PCA is a stochastic mathematical tool used to predict end configurations based on initial configurations. The proposed algorithm is tested on a dataset and achieves significant results.