The SLA 3D-Printed Grey Resin V5 – Mechanical Property Predictor is an interactive digital tool developed to estimate the mechanical properties of SLA-fabricated grey resin components following 72 hours of water immersion. The tool enables users to predict material performance based on selected process parameters and initial material properties, supporting rapid evaluation without extensive experimental trials. It can assist researchers and designers in understanding process–property relationships, comparing processing conditions, and making informed decisions for additive manufacturing, material characterization, and product development. The web-based platform provides convenient access to predictive analysis for research and educational applications.
Developed by:
Sandeep Kumar, Mechanical Engineering, IIT Ropar
Prof. Prabir Sarkar, Mechanical Engineering, IIT Ropar
FasalSathi DSS is an intelligent digital decision-support application developed to assist farmers and agricultural stakeholders in making informed crop selection and land-use decisions. The platform provides data-driven recommendations to help identify suitable crops and support more effective utilization of available farmland. By transforming agricultural information into simple and actionable recommendations, FasalSathi aims to support better farm planning, resource utilization, productivity, and sustainable agricultural decision-making. Its interactive web-based interface makes the system convenient for use as a practical digital tool for modern and technology-enabled farming.
Developed by:
Sandeep Kumar, Mechanical Engineering, IIT Ropar
Prof. Prabir Sarkar, Mechanical Engineering, IIT Ropar
The project received financial support from the Agriculture and Water Technology Development Hub (AWaDH), a Technology Innovation Hub created under the DST-funded National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) for developemnt and filing the intelluctual property (Patent is published and under examination) @all rights are reserved.