Advanced Remanufacturing and Technology Centre
The Advanced Remanufacturing and Technology Centre (ARTC) is a contemporary platform built upon strong public-private partnerships to translate research to industry applications. It is led by the Agency for Science, Technology and Research (A*STAR), in partnership with the Nanyang Technological University (NTU).
The ARTC is located at Singapore's first eco-business park, JTC CleanTech Park, which is based at the Jurong Innovation District.The centre provides a collaborative platform which brings together industry players, public sector research institutes and academia to bridge technological gaps in the adoption of advanced manufacturing and remanufacturing processes.
Mission
To bridge the gap from research to industry applications for advanced manufacturing and remanufacturing for cross-sectorial industries across the supply chain.
Vision
To be a world-renowned industry-led centre of excellence for advanced manufacturing and remanufacturing technologies, processes and systems.
ADVANCED REMANUFACTURING
Masking and Automation Technologies
Environmentally friendly removal of contaminants
Smart Masking automation for a variety of industrial applications
Intelligent and adaptive solutions for automation in industries
Intelligent Machining Technologies
Intelligent machining using sensors and data transfer system
Cutting tool selection & tool path generation
Adaptive machining for remanufacturing
In-machine measurement & scanning Smart Fixturing
Regenerative Repair Processes
Perform components assessment for repair methods selection
Adapt manufacturing technologies for repair industrialisation, such as:
Laser Metal Deposition
Cold Spray
Automated Robotic Welding processes
Hybrid technologies
Industrial Manufacturing and Remanufacturing Processes
Design Expert System for Remanufacturing
Smart Flexible Repair Cells concept development
Disassembly, assembly and repair process analysis for optimisation
ADVANCED ROBOTIC APPLICATIONS
3D Based Offline Programming
Robot toolpath programming for 3D surfaces with process simulation
Robot programming for specialty processes such as cold rolling, forging, welding, masking, cleaning and inspection
Training for robot operation & toolpath development and associated process development
Process Application and Development
Robotic process development capability for various manufacturing processes
End of arm tool selection, integration, and process optimization
Custom Gripper design & Integration
Robot cell design with automated tool selection for process automation
Software Development
Software development for system integration & communication
Image & point cloud data processing towards adaptive process & toopath generation
Hadware integration & control system design to establish application
Open source robotic operating system (ROS)
Cobot & New Application
Direct utilization of collaborative robots for industrial applications, such as assembly & part logistics
Human-robot collaboration studies and investigation on collaborative systems for automation
Knowledge of technologies utilized for safety & navigation of Automated Guided Vehicles (AGVs) and integration for mobile manipulation
DATA-DRIVEN SURFACE ENHANCEMENT
Surface Finishing
Abrasive flow machine (AFM) on internal complex feature
Vibratory & robotic drag finishing
Modelling and simulation of media flow for process optimization
Robotic Shot Peening
Robotized shot peening on simple & complex features
Online monitoring of shot velocity
Rotary lance peening
Peening Process Optimization
Peening nozzle optimization through modelling & design
Alternative Fatigue Enhancement
5-axis CNC or robotized process
High intensity deep cold rolling
Controlled hammer peening on localized feature & surface
Robotic flapper peening
Laser shock peening
Stress & Fatigue
Residual stress measurement thorugh X-ray diffraction (XRD) and hole-drilling
Cold Work Analysis
EBSD mapping
Static & dynamic mechanical Test
High/low-cycle fatigue evaluation at elevated temperature test
Residual stress simulation & analysis
ADDITIVE MANUFACTURING INDUSTRIALIZATION
Design
Design for additive manufacturing
CAE for parts performance
Optimization for support removal, assembly, and surface finishing
Design rules for different materials
Process Development
Complex parts geometry with internal structures
Optimization for surface finishing, defects and stress minimization
Process repeatability and part consistency
Post - machining and surface finishing
Powder Performance
Characterization and optimization of feedstock material
Quality and lifecycle management of powder material
Correlation of feedback material with parts performance
INTELLIGENT PRODUCT VERIFICATION
Complex Geometric & Surface Measurement
High accuracy contact and contactless (2D/3D) measurement for dimensioning, surface roughness and surface topograpphy profiling
X-ray Diffraction for automated residual stress measurements - ISO17025 accredited, Nov 2016
Scanning Electron Microscopy (SEM) for sample topography and composition
Non-Destructuve Testing & Evaluation Solutions
Advanced NDT techniques (eddy current, ultrasonics arrays) for surface & sub-surface defect detection
Defect characterization (>1mm)
Thermography methods (flash, induction, laser) for rapid non-contact full-field inspection
Automated NDT scanning (C-scan, robotic)
X-ray CT capabilities for internal channel inspection (Nov 2017)
Inspection Technology Development
Automated in-situ machine vision inspection technologies for in-process effect & surface quality evaluation
Feature recognition
Augmented Reality platform solutions co-development
Uncertainty analysis expert system for both measurement and inspection
Condition Monitoring & Lifetime Prediction
Real-time machine & tool wear health condition monitoring for process optimization & predictive maintenance (failure diagnosis and prognosis)
Effective in-machine sensor solutions
Connectivity with real-time remote machine monitoring (Future of Manufacturing / Industry 4.0)
SMART MANUFACTURING
Intelligent System and Connectivity
Process condition monitoring, advanced robotics, decentralize decision making, tools for sustainable manufacturing
Areas of Coverage:
Manufacturing Intelligence Control Room
Agile Shop floor
Adaptive Process
Virtual Manufacturing
Virtual factory system, digital twin, simulation, modelling knowledge management from product conception to production.
Areas of Coverage:
Advanced Modelling and Simulation
Real Time Manufacturing
Digital Twin
End-to-End Solution
Global supply chain management, product service linkage and management of distributed manufacturing assets, order fulfilment
Areas of Coverage:
Cloud-based
End-of life management
E2E Digital Thread
Advanced Remanufacturing
We provide a development platform for application of advanced repair & restoration technologies to the manufacturing and remanufacturing industries. Key capabilities include Automated Fabrication, Intellegent Machining and Fixturing, Adaptive Robotic Welding and Laser Metal Repair technologies.
Our portfolio of processes available to our members also includes Cold Spray and Hybrid technologies. The know-how to repair processes is captured in support of the development of remanufacturing industries in Asia.
Advanced Robotic Applications
Robotic technology for manufacturing is rapidly changing. Robots are becoming safer and progressing towards the digital space, which will drive innovation for developing more collaborative processes for the industry. Digitalization of robotics allows improvements in offline monitoring, predictive analysis and adaptiveness required for smart factories.
ARTC has developed innovative capabilities in robotic processes such as adaptive deburring, polishing, painting etc. New capabilities such as collaborative assembly, component handling & logistics, advanced safety for collaborative robots are continually developed at ARTC.
Data-Driven Surface Enhancement
Surface Enhancement is a key process stage for improving the functionality, performance, and longevity of a component.
Activities encompass a wide range of industrialized mechanical surface enhancement technologies focusing on metal surface finishing and fatigue enhancement processes.
With comprehensive capability in mechanical & microstructural characterization, residual stress analysis and fatigue evaluation, we aim to provide complete surface enhancement solutions for various industry applications.
Additive Manufacturing Industrialization
We develop advanced technology for the manufacturing of high value components. The focus is to identify current limitations on part geometry and performance using traditional manufacturing methods and explore opportunities for products improvement and functionality using addictive technology.
We aim to deliver complete solution from pre- to post- additive manufacturing processes, in order to enable test bedding of the manufactured components and translation into protect-ready solutions
Intelligent Product Verification
Exploiting leading technologies in Non-destructive Testing & Evaluation (NDT&E), machine vision with complex defect detection algorithms and machine health monitoring, we bring technology solutions to industry members in the area of automated product inspection, measurement and defect detection. A metrology laboratory provides a suite of metrology services at world class standards.
Smart Manufacturing
To drive the adoption of Industry 4.0 solutions, ARTC will be setting up the Model Factory @ ARTC as a demonstrating platform for the industry. This public-private partnership programme aims to co-develop a model factory with industry players, to collaborate and develop Future of Manufacturing (FoM) technologies, based on real applications in advanced manufacturing and remanufacturing.
With the demonstrating platform being developed together with end-users, technology providers and research institutes in A*STAR and Institutes of Higher Learning (IHL) to test-bed processes, the Model Factory @ ARTC also targets to bring benefits to the economy and workforce.
Nanyang Technological University
Notice: Please contact international@erc-assoc.org if you represent this Research Institution and have identified any required additions or modifications to the above information.