Shardul Shrikhande is a Ph.D. candidate in Mechanical Engineering at the University of Wisconsin–Madison, Class of 2027. His research focuses on solid-state additive manufacturing processes, with particular emphasis on the underlying process physics of friction surfacing that drive innovation and efficiency in modern additive manufacturing. Shardul’s work aims to push the boundaries of how materials are processed and optimized for next-generation manufacturing applications.
In addition to his research, Shardul serves as a graduate teaching assistant, mentoring senior-year undergraduate students in mechanical engineering. His dedication to teaching reflects a broader commitment to academic growth and knowledge dissemination.
Shardul’s academic and technical foundation is broad and interdisciplinary. He is proficient in a wide range of engineering and software tools, including SolidWorks, Ansys, EES, Calterm, CNC programming, and data-driven platforms using MATLAB, Python, SQL, and web technologies (HTML, CSS, JavaScript). This diverse skill set enables him to bridge the gap between traditional mechanical systems and emerging computational approaches.
His industry experience includes roles in thermal-fluid systems, data science, and software development, with internships at Cummins Inc., Myntra, and Reliance Industries, as well as a full-time position at Wipro. These experiences have shaped a research perspective grounded in real-world challenges and scalable solutions.
Shardul is a recipient of the Austrian Marshall Plan Foundation Scholarship and a visiting fellow at Technische Universität Wien (TU Wien), in recognition of his international research contributions. During his leisure time, Shardul enjoys cooking, reading, traveling, and exploring museums.
With a passion for interdisciplinary innovation, a strong foundation in teaching, and a deep commitment to research excellence, Shardul seeks opportunities to collaborate, publish, and contribute to the advancement of the mechanical engineering and additive manufacturing communities.
Major: Mechanical Engineering
Relevant coursework: Advance Machining
Awards: Austrian Marshall Plan Foundation Scholarship
Major: Mechanical Engineering
Relevant coursework: Heat Transfer, Metal Additive Manufacturing, Applied Thermal / Structural Finite Element Analysis, Advanced Independent Study, Mechatronics in Control & Product Realization, Introduction to Robotics, Introduction to Feedback Control for Mechanical Engineers
Major: Mechanical Engineering
Relevant coursework: Engineering Thermodynamics, Heat Transfer, Automobile Engineering, Manufacturing Processes, Tool Design, Mechnical Vibrations, Metal Forming Theory and Practice, Design of Machine Elements, CAD/CAM, Machine Drawing
Awards: Best Special Team Award - FSAE
The objective of this study is to numerically investigate the thermal performance of cutting fluids dispersed with nanoparticles for effective heat removal during turning operations.
The simulations are performed using Ansys Fluent software, and the problem is modelled as a three-dimensional turbulent incompressible single-phase flow. The computational domain consists of a heated cutting tool and work piece, and nanocoolants are sprayed from a nozzle located above the machining zone.
The coolant used is a mineral oil into which different nanoparticles of Al2O3, TiO2, Cu, MWCNT, and SWCNT are dispersed by varying the volume concentration.
The variations in temperature, Nusselt number, and wall heat transfer coefficient, with respect to the volume fraction of nanoparticles and the Reynolds number, were investigated. It was concluded that Cu–Al2O3 nanoparticles dispersed in mineral oil depicted the most favourable heat transfer.
The proposed centralized air purifier is able to eliminate air pollutants of 10 microns and above from the polluted air in the industrial environments and it operates on the concepts of connected devices. Thus an economical, smart and healthy air purifier is developed to suit industrial applications. The simulations are carried out in Ansys Fluent software to substantiate our model and empirical data.
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The Shaurya Racing is VIT-Chennai's official Formula SAE team. We participate in national and international events, team focuses on designing, manufacturing, and assembling.
I contributed to the powertrain department, especially developing the cooling systems components heat exchangers, shroud fans, hoses, and testing data acquisition, and visualizing data from various sensors to optimize cooling systems.
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