WELCOME TO

SMART MANUFACTURING AND RENEWABLE TECHNOLOGIES LABORATORY (SMART-LAB)

Vision Statement

To be a global leader in advancing intelligent manufacturing and sustainable energy systems through innovative research, digital integration, and environmentally responsible technologies.

Key Research Areas and Objectives

The mission of the SMART-Lab is twofold.

Smart Manufacturing

Our lab’s research in Smart Manufacturing aims to revolutionize manufacturing systems through the integration of machine learning, computational modeling, digital twin technologies, Internet of Things (IoT), and robotics and automation. We combine data-driven approaches with physics-based simulations and experimental validation to enable intelligent, adaptive, and efficient manufacturing solutions aligned with Industry 4.0 principles. Key focus areas include:

  • Welding and Joining: We develop advanced numerical models and predictive machine learning frameworks to analyze and optimize welding and joining processes. By integrating real-time sensor data, we are working towards developing digital twins that provide continuous monitoring, process control, and performance prediction for improved weld quality and system reliability.
  • Additive Manufacturing (3D Printing): Our work in additive manufacturing focuses on simulating complex thermal and fluid flow behaviors during the build process, using computational mechanics and machine learning to enhance print quality, reduce defects, and optimize process parameters. Through IoT-enabled data acquisition and feedback systems, we advance towards digital twin models that support adaptive control and fault detection in real time. Our ongoing research in additive manufacturing is primarily centered on advancing Wire + Arc Additive Manufacturing (WAAM). Visit our research page to find out more.

Renewable Technologies

Our lab’s research in Renewable Technologies is dedicated to advancing sustainable energy solutions by focusing on the development and optimization of renewable fuels and their integration into modern power systems using experimental assessments and machine learning techniques. Our primary areas of expertise include:

  • Sustainable Biofuels for Enhanced Engine Performance and Emission Reduction: Our renewable energy research focuses on developing and applying advanced biofuels and biodiesel from diverse feedstocks as sustainable alternatives to fossil fuels. We investigate alcohols, biodiesel blends, and novel biofuels for spark ignition engines, aiming to enhance combustion efficiency and reduce emissions using additives. Through comprehensive engine diagnostics, we evaluate performance metrics such as power output, fuel economy, and emissions of CO, NOₓ, and unburnt hydrocarbons. This integrated approach supports cleaner combustion and environmentally responsible energy solutions.
  • Electric Vehicles (EVs) and Hybrid Systems: We conduct studies on the integration of electric propulsion technologies, energy management systems, and battery performance to support the transition to low-carbon transportation. Visit our research page to find out more.

Featured Videos

Operation of GMAW-based WAAM

Metal Transfer Behavior in GMAW-based WAAM

Simulation of GMAW-based WAAM