Virtual Machine setup
Make
SMC Corporation (India) Pvt. Ltd
Model
SMART VIRTUAL MACHINE LAB SETUP
Facility Status
Working
Facility Management Division
Centre for Sophisticated Instruments and Facilities (CSIF)-IoE Funded

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Category

  • Fabrication and Processing » Macrofabrication

Booking Details

Booking available for
Internal and External Both

Facility Management Team and Location

Facility In Charge
Prof Makarand Kulkarni
Facility Management Members
Prof Makarand Kulkarni
Prof Deepak Marla
Prof. Indrajit Mukherjee
Department
Mechanical
Lab Email ID
sml.iitb1@gmail.com
Facility Location
G22, ground Floor , Mechanical Engg. Dept
Lab Phone No
3702

Facility Features, Working Principle and Specifications

Facility Description

Facility Description

The Virtual Machine Lab Set Up for Smart Manufacturing  provides a perfect platform to facilitate advance research, training, process analysis and understanding of the smart technologies. The system simulates a real industrial manufacturing environment on a
virtual setup which includes leading Industry 4.0 technologies.

Features Working Principle

The Virtual Machine Lab system comprises a six-station setup that replicates a smart manufacturing line in a controlled, virtual environment. The system is designed to operate in both centralized and decentralized (individual) modes, offering flexibility for a wide range of research and training scenarios.

Station 1 – Raw Material Feeding & Tracking: This is the entry point of the production line, where a robotic arm picks up raw cuboidal jobs from a feeder and places them onto a conveyor. This station also tracks and registers the job information using an RFID reader.

Stations 2 to 6 – Virtual Machining Stations: These five stations function as configurable virtual machines. Each station includes:

A robotic arm to automatically load and unload jobs from the conveyor

A motor that simulates the machining or processing operation for a programmed duration

An RFID reader to read and verify job data

A real camera to perform quality inspection post-processing
 All stations are interconnected via a conveyor system that facilitates automated job movement. The entire system is controlled and monitored through a centralized Manufacturing Management HMI Application, which allows real-time tracking, production planning, and performance monitoring.

Instructions for Registration, Sample Preparation, User Instructions and Precautionary Measures

Charges for Analytical Services in Different Categories

Usage Charges
sr.noFacilityIITB UsersOutside UniversitiesNational LaboratoriesIndustries
1Virtual Production System1500300045007500

Applications

The Virtual Machine Lab Setup serves as a versatile platform for a wide range of applications in the domains of manufacturing, education, and research. Some of the key applications include:

1. Smart Manufacturing Research and Development  
  - Development and testing of Industry 4.0 technologies such as cyber-physical systems, digital twins, and intelligent control algorithms  
  - Evaluation of smart scheduling, predictive maintenance, and real-time quality control strategies  

2. Simulation-Based Training and Education 
  - Hands-on training for students and professionals on automation, robotics, and intelligent production systems  
  - Visualization and understanding of complex manufacturing processes and the impact of digital technologies  

3. Digital Twin and Cyber-Physical Integration  
  - Creation and validation of digital twin models for real-time data-driven decision-making  
  - Experimentation with IoT-enabled systems, data acquisition, and machine-level analytics  

4. Production Planning and Optimization  
  - Testing of dynamic production planning, job sequencing, and buffer management algorithms  
  - Scenario-based analysis to optimize throughput, reduce lead times, and improve overall equipment effectiveness (OEE)  

5. AI and Machine Learning Applications  
  - Implementation of AI/ML algorithms for fault detection, process optimization, and autonomous decision-making  
  - Data collection for training models in predictive quality, job classification, and adaptive control  

6. Human-Machine Interface (HMI) and System Integration 
  - Development and evaluation of smart HMIs for real-time monitoring and control  
  - System-level integration of hardware and software components for seamless operations

Sample Details

SOP, Lab Policies and Other Details

Publications