PAM LabInnovation LabAnalytics LabEnergy lab

Product Analytics and Modelling Lab (PAM Lab)

Product Analytic and Modelling Laboratory (PAM Lab) is a design and development oriented facility in the School of Engineering Entrepreneurship at IIT Kharagpur. Technology based product design and development is central to innovation and engineering entrepreneurship and performance in this function provides competitive edge to any manufacturing business organization. Forward engineering has been the conventionally used in design, but simultaneously reverse engineering in recent time has occupied a prominent position and has drawn the attention of researchers as well as practitioners and entrepreneurs. It is increasingly being realized by the product developers that re-engineering through the process of feature based reverse engineering is a very effective method for product redesign.

In the PAM Lab, we can reverse engineer a part, make improvements through design modifications, and generate a prototype that can be used to test the new design. The Lab has capabilities of: 3-D Laser Scanning and points cloud generation supported with Portable Coordinate Measuring Machine (PCMM with Laser Scanner), Digital Inspection of physical parts, Reverse Engineering of physical parts to CAD format as 3D solid model, CAD geometric configuration and creation of rapid prototype of parts in polymers with metal inserts (Rapid Prototyping Machine). The Lab is backed-up with software capabilities for computer aided engineering and simulation.

The equipment and instruments like Digital Welding Machine, Electric Sheet Metal Cutting Tool, Digital CRO, Digital Signal generator, Digital Signal Analyser, Soldering station, Digital Infrared Thermometer, in the lab are being used for developing, testing and optimising mechatronic products.

This Lab supports product development (PD) efforts by students PD projects, research scholars, the technology business incubatees, entrepreneurs, and start-ups as well as established industries to create 3D models from physical parts and products.

Currently there are five research scholars working in this lab. Using the CAD/CAE and supported with statistical software, work on design optimization of gearbox-product has been undertaken and the methodologies developed have been reported in the reputed journal and conference.

Product prototypes are being developed by the students (Dual Degree M.Tech.) of the School using the facilities in this lab. Smart switch, for energy saving, has been prototyped here, by the student-start up (Alive Home Technologies) and the product-based business plan got selected for the final round presentation for RICE B-Plan Competition 2017, competing globally.

The Experiments in the lab are also video graphed for demonstration in class lecture.

Innovation Lab

This is where innovations are born. The innovation lab at RMSoEE aims to produce entrepreneurially oriented competent individuals. Each student of RMSoEE is attached to an innovation laboratory during their learning journey at IIT.

The Innovation Lab facilities include:
  • Space for ideation
  • Mentoring from industry specialists and technocrats
  • Computing facility round the clock
  • Web-conferencing facilities
  • Support from incubation staff
  • Networking with alumni and industrial associations.

Analytics Lab

“Not everything that can be counted counts, and not everything that counts can be counted.”

Albert Einstein

The Analytics Lab at RMSoEE provides a unique meeting point for engineers, social scientists, and data scientists. It also provides hands-on training to students, entrepreneurs, and innovators on application of various analytical tools and techniques for business decision-making. The Lab mainly houses necessary hardware platforms and software tools for two domains of research in data analytics:

  • Healthcare Data Analytics
  • Computer Vision

In Healthcare Data Analytics, we look at the problems related to Healthcare Operations and Management including m-Health. Our aim is to design and develop data driven solutions for improving healthcare operations and management. The students are involved in designing behavioral technologies (at individual as well as at community level based on social networks of individuals) for preventive care, healthcare service design, and health insurance models for rural India. The data driven System Dynamics Models and Agent Based Modeling and Simulation are being developed to provide valuable insights and exploring potential impact of various healthcare policies on healthcare systems.

Anticipating tremendous potential of big data analytics in the healthcare industry, we have created an experimental setup for big data analytics platform primarily using open source technologies. The technologies include MongoDB, Hadoop Distributed File System (HDFS), and the associated technologies like Hadoop, Hive, Spark and so on. The programming languages used in the lab include python and R. We are developing national and international collaborations with domain experts to enhance our understanding of the big data related issues in healthcare.

In the Computer Vision domain, we are looking at applications involving multiple robots to use visual cues for localization & mapping applications. In remote operations, where there is constraint on the use of sophisticated sensors to collect data, visual data plays a major role. For example, in places where GPS is not available and hence global localization is not possible, we try to localize each robot relative to surrounding landmarks & other robot’s perspective. One such very particular application is planetary rovers exploring the planet surface. For this, we are developing algorithms and models based on secondary datasets available from previous rover missions. We are using applications like Gazebo, ROS, Blender etc. for simulation of environment and testing of algorithms

Energy lab

The Energy Lab at the Rajendra Mishra School of Engineering Entrepreneurship, is built to focus on creative answers to today’s energy challenges. From fundamental science and energy analysis to validating new products for the commercial market, the lab would help in developing renewable energy and energy efficiency technologies and practices, advances related to science and engineering, smart grid and transfer of knowledge and innovations to address the nation’s energy and environmental goals.

  • Battery Life Cycle Tester
  • Synthesis of new materials
  • Temperature bath (-30 ?C to 80?C)
  • Fume Cupboard
  • Weather data monitoring system integrated with PV
  • Smart meters (AMI)
  • To develop energy storage bank for e-vehicles
  • Development of advanced Lead acid battery
  • Test bed for evaluating techno-management feasibility of smart grid technology
  • Energy system analysis
  • Management of waste heat recovery
  • e-Waste management