Advanced Materials Processing Research Group - AMPRG

Advanced Materials Processing Research Group - AMPRG Advanced Materials Processing Research Group (AMPRG) at Materials Engineering, IIT Gandhinagar.

Associate Professor of Materials Science and Engineering at IIT Gandhinagar

AMPRG is very happy to share that our group member, Nishkarsh Srivastava, has successfully defended his PhD thesis and o...
17/05/2026

AMPRG is very happy to share that our group member, Nishkarsh Srivastava, has successfully defended his PhD thesis and officially Dr. Nishkarsh Srivastava now! He is the 6th PhD graduate of the Advanced Materials Processing Research Group (AMPRG).

Nishkarsh joined AMPRG at IIT Gandhinagar as a PhD scholar in 2020 after completing his M.Tech with our group at IIT Gandhinagar. His doctoral research focused on Scanning Strategies for Tailoring Process–Structure–Property Relationship in Additive Manufacturing.

We congratulate both Dr. Nishkarsh and Prof. Amit Arora (Supervisor) on this excellent journey and achievement. Wishing him continued success in his future endeavors!

For more details:https://amit.people.iitgn.ac.in

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We are pleased to share our latest publication, “Finite Element Method-Based 3-D HeatTransfer Model for GTAW of Ti-6Al-4...
05/05/2026

We are pleased to share our latest publication, “Finite Element Method-Based 3-D HeatTransfer Model for GTAW of Ti-6Al-4V Tailor-Welded Blanks” in Transactions of the Indian Institute of Metals.

Accurate prediction of weld pool geometry is critical for ensuring structural integrity and performance in advanced applications such as aerospace and automotive manufacturing. In this work, we develop a 3D FEM-based heat transfer model to address this challenge and enable process optimization.

A key highlight of the study is the comparative investigation of Goldak’s Double Ellipsoidal Heat Source (DEHS) and the Avocado Shaped Heat Source (ASHS) models. It is observed that the DEHS performs better at low welding speeds, while ASHS provides improved accuracy at higher speeds, offering a clear pathway for selecting appropriate models under varying process conditions. We further examine the effects of fillet geometry and thickness ratio on weld pool width and tensile strength, which is an important insight for simplifying design considerations in TWBs. Overall, this work provides a validated framework for improving welding process design and advancing the manufacturing of high-performance titanium structures.

Congratulations to all the authors!

Read the full paper here: https://doi.org/10.1007/s12666-026-03817-w

For more details:https://amit.people.iitgn.ac.in

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Educate, Agitate, Organize - celebrating a vision of equality. Happy Ambedkar Jayanti!
14/04/2026

Educate, Agitate, Organize - celebrating a vision of equality. Happy Ambedkar Jayanti!

We are happy to welcome Mr. Aditya Nair to the AMPRG team at IIT Gandhinagar as an M.Tech student. He completed his B.Te...
05/04/2026

We are happy to welcome Mr. Aditya Nair to the AMPRG team at IIT Gandhinagar as an M.Tech student. He completed his B.Tech. in Fibres and Textile Processing Technology from the Institute of Chemical Technology (UDCT) Mumbai in 2025.

At AMPRG, Aditya’s research will focus on the physics-informed neural network (PINN) modelling of the Friction Stir Welding (FSW) process.

Welcome to the group, Aditya! We look forward to your contributions.

For more details:https://amit.people.iitgn.ac.in/authors/adityanair/

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We are pleased to welcome Mr. Sri Anurag Das to the AMPRG team at IIT Gandhinagar as an M.Tech student. Anurag joined us...
05/04/2026

We are pleased to welcome Mr. Sri Anurag Das to the AMPRG team at IIT Gandhinagar as an M.Tech student. Anurag joined us after completing his B.Tech. in Metallurgical and Materials Engineering at NIT Trichy in 2025.

His previous academic work involves applying object detection models for microstructural analysis, exploring powder metallurgy, and simulating thermal cycles for Wire Arc Additive Manufacturing (WAAM) using ANSYS.

Currently, his research at AMPRG will focus on the numerical simulation of the Solid Stir Extrusion process.

Welcome to the group, Anurag! We look forward to your contributions.

For more details:https:https://amit.people.iitgn.ac.in/authors/srianuragdas/

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We are happy to welcome Dr. Suvranshu to the AMPRG team at IIT Gandhinagar as an ANRF- National Post-Doctoral Fellow (NP...
04/04/2026

We are happy to welcome Dr. Suvranshu to the AMPRG team at IIT Gandhinagar as an ANRF- National Post-Doctoral Fellow (NPDF)! Dr. Suvranshu joined us after completing his Ph.D. in Mechanical Engineering at NIT Rourkela, where his doctoral research in metal additive manufacturing was awarded the Gold Medal for Best Ph.D. Thesis.

With a background in manufacturing advanced high strength steels and orthopedic implants, he will now be focusing on solid state additive manufacturing specifically friction stir processing alongside the development of tuneable alloys and metal matrix composites tailored for specific applications.

Welcome aboard, Dr. Suvranshu! We are excited to see the innovative research and energy you will bring to the group.

For more details:https://amit.people.iitgn.ac.in/authors/suvranshu/

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We are happy to share our latest journal publication, "Nozzle clogging during extrusion based additive manufacturing of ...
26/03/2026

We are happy to share our latest journal publication, "Nozzle clogging during extrusion based additive manufacturing of polymer matrix composites— A numerical simulation insight into the process”

Extrusion-based 3D printing of composite materials relies heavily on the complex multiphase flow within the nozzle to determine reinforcement directionality. To move beyond difficult experimental limitations, this study utilizes a coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) approach to deeply investigate how graphite reinforcements behave inside a Polyvinyl Alcohol (PVA) polymer matrix during the extrusion process.

By combining this CFD-DEM modeling with experimental data and non-linear regression analysis, this work quantifies the exact impact of drag, pressure gradient, and virtual mass forces on the final orientation angle of the reinforcements. We analyzed critical input parameters—including nozzle outlet diameter, reinforcement aspect ratio, volume flow rate, polymer viscosity, and reinforcement concentration to provide precise insights into particle alignment.
Notably, we tackled the persistent issue of nozzle clogging, proving through our model that nozzle rotation is a highly effective mechanism to not only mitigate jams but actively enhance the alignment process! These results offer a practical roadmap for optimizing high-performance composites with tailored properties

Congratulations to all the authors, and we look forward to more.

Read the full publication here: https://doi.org/10.1016/j.cirpj.2026.01.009

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We are happy to share our latest publication, "Coupled CFD-DEM analysis of SiC reinforcement flow and orientation in PVA...
20/02/2026

We are happy to share our latest publication, "Coupled CFD-DEM analysis of SiC reinforcement flow and orientation in PVA composite extrusion," in the Journal of Alloys and Compounds Communications.

Extrusion-based 3D printing of composites is a complex process where printing parameters heavily dictate the final material properties. This study leverages a coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) modelling approach alongside physical testing to simulate and analyze the behavior of Silicon Carbide (SiC) particles within Polyvinyl Alcohol (PVA) composites during extrusion, overcoming the challenges of traditional trial-and-error optimization.

By integrating CFD-DEM models with experimental testing and analyzing various parameters—like reinforcement concentration and nozzle outlet diameter—this work provides new insights into die swell effects, particle orientation, and mechanical strength. Notably, we found that nozzle size fundamentally changes how SiC particles align during flow! The findings establish a foundation for the tailored design of nozzle geometries and optimized printing of reinforced composites for advanced applications.

Congratulations to all the authors and we look forward to more contributions that bridge disciplines and drive innovative solutions!

Read the full publication here: https://www.sciencedirect.com/science/article/pii/S2950284526000093

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Speaker Spotlight | AI in Materials Processing 2026 WorkshopWe are honored to have Dr. Jitesh Vasavada, Manager (R&D) at...
14/02/2026

Speaker Spotlight | AI in Materials Processing 2026 Workshop

We are honored to have Dr. Jitesh Vasavada, Manager (R&D) at Danieli India Ltd., as one of the distinguished speakers at the upcoming One-Day Workshop on “AI in Materials Processing,” organized by the AMPRG, Materials Engineering, IIT Gandhinagar.

Dr. Vasavada is currently the Manager of R&D at Danieli India Ltd., where he leads data-driven initiatives for the steel sector. With a PhD from IIT Bombay and previous experience at Tvarit GmbH, his work focuses on the practical application of AI to reduce rejection rates and improve efficiency in industrial manufacturing.

In his session, “Beyond Prediction: Engineering Actionable AI into Materials Processing,” he will discuss how to move past basic modeling to create systems that solve real-world factory floor issues.

Key discussion points include:

Transitioning from raw data to actionable manufacturing insights.

Using Automated Root Cause Analysis (RCA) to reduce downtime.

Applying Physics-Informed Neural Networks (PINNs) and Neural Operators for real-time simulations.

Join us for a practical look at how AI is being integrated into modern materials processing.

Date: 16 February 2026 (Monday)
Time: 09:00 AM – 05:30 PM
Venue: Academic Block 1/201, IIT Gandhinagar

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Media Coverage: AI in Materials Processing Workshop 2026!Our upcoming workshop at IIT Gandhinagar has been featured in r...
13/02/2026

Media Coverage: AI in Materials Processing Workshop 2026!

Our upcoming workshop at IIT Gandhinagar has been featured in recent media reports. You can read the full coverage via the links below:

PIB: https://www.pib.gov.in/PressReleasePage.aspx?PRID=2226715®=3&lang=2 #:~:text=The%20Indian%20Institute%20of%20Technology,(AI)%20in%20materials%20processing.

Navjeevan Express: https: //navjeevanexpress.com/forging-the-future-iit-gandhinagar-ignites-ai-revolution-in-materials-processing/

Last Date of Registration: February 14, 2026.

Register here: https://events.iitgn.ac.in/2026/aimp/

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