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Smart Manufacturing and Industry 4.0

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Completed Projects

IOT Enabled “SMART” Metal Cutting Machine -empowering a Legacy Machine @CMTI

Smart features

Sensor modules

  • Temperature : Machine thermal plot
  • Vibration : Machine health
  • Evaluate TcP(tool center point) drift
  • Pressure : Spindle coolant pressure
  • Energy : Downtime of the machine
  • Vision : In-situ inspection / Quality
Machine Tool: Milling Machine(5 axis VMC)

Outcome

  • Generate diagnosis reports / action plan
  • Classify reports based on severity
  • Enable deep dive information for better process understanding
  • Establish data base for further analytics

Outputs

  • IOT enabled connected machine
  • Remote access of machine health and process data
  • Real time Machine health monitoring
  • Energy monitoring
  • Better process monitoring
  • Reduced machine down time

Implementation: For the Demonstration of IOT Enabled Additive Manufacturing

A IOT enabled Control GUI has been developed to control the 3D printer in a closed loop. The following features have been implemented.

  • Cloud based 3D printing by uploading G-code via Any internet connected device, i.e Mobile Phones & Tablets.
  • Cloud based closed loop monitoring of process parameters & Temperature signatures of subsystems of 3D printer.
  • A complete live fabrication process can be viewed online via IOT process monitoring camera.

Ongoing Projects

Development of indigenous IIoT Solutions

Objective:

  • Development of Production monitoring, Diagnostics and Condition
  • Development of a Dashboard for Overall Equipment Efficiency
  • Development of Low Cost Energy Monitoring IIOT Solution for Smart Factory
  • Development of a compressive machine tool health condition monitoring module
  • Development of Supervisor login and OEE dashboard

Outcome:

  • Low cost IIoT Solutions for MSME’s

Smart Factory Demonstration

Objective:

  • Establishment of Smart Factory Demonstration Cell at CMTI

Deliverables:

  • Smart Factory Demonstration Cell at CMTI

Development of Production monitoring, Diagnostics and Condition Monitoring modules for machine tools

Objective:

  • Development of IIOT solutions for Production Monitoring and OEE for Machine tool centric industries.
  • Development of Diagnostics and Condition Monitoring module for machine tools.

Deliverables:

  • IoT enabled vibration, temperature, force and pressure monitoring.
  • Live Health Monitoring of Machines/Machine Tool Subsystem/Machine elements.
  • Machine Health Trending and Analytics
  • Technology Development, IP Creation
  • Indigenous development of smart OEE & diagnostics module. Zero Breakdown, productivity improvement Prediction of impending problems.

Design and Development of Smart Precision Integrated Motor Spindle

Objective:

  • Design and development of integrated motor spindle with in-built industry 4.0 features for machine tool application like HMC, VMC, ultra-precision machines

Deliverables:

  • Smart spindles for High Precision HMC and VMC Machines.
  • Integrated motor spindle with built in intelligent feature for building future smart machines.
  • Technology Development, IP Creation
  • Indigenous development and marketing
  • Import Substitution

Digital Twin based Availability prediction for Spindle & Feed drive system of Machine tools

Objective:

  • Development of Digital Twin based Availability Prediction for Spindle and Feed Drive systems of Machine Tools.

Outcome:

  • Technology Development, IP Creation
  • Smart Diagnosis and Prognosis Module of spindle and feed drive systems,
  • Smart Inventory Management, Digital Twin based Production Availability Module, Production analytics Module

Establishment & Demonstration of Smart Factory with Digital Twin

Objective:

  • To Establish and Demonstrate Smart factory and its digital twin for manufacturing industries
  • To offer smart manufacturing solutions to industries

Outcome:

  • To encourage SME’s. MSME’s to implement smart manufacturing technologies.
  • Hands on experience and demonstration of smart manufacturing technology.
  • Training of SME’s and MSME’s workforce.

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