research and Innovation projects

Project Activities: Well-aligned with 4 objectives

Network of Excellent and Hi-Tech Hub for Vietnam’s Industry 4.0 via the UK – VN collaborations in Smart Manufacturing

A01 – NoE & Hi-Tech Hub in Industry 4.0 & SM

ACTIVITY 1: To establish an international Network of Excellence and Hi-Tech Hub in Smart Manufacturing (SM), towards Vietnam (VN)’s industry 4.0, with multi-disciplinary partners from universities, businesses, investors & funding organisations.

TIME LINE: Month 2 – Month 8

MILESTONES: (1) To organise 03 workshops and 02 training courses in the UK and Vietnam (Hanoi and Ho Chi Minh city) with participations from universities, businesses, investors and funding organisations in both the UK and Vietnam; (2) To establish a list of collaborative partners of NoE; (3) Websites and media plans; (3) To organise or co-organise the international conferences on Smart Manufacturing in Vietnam; (4) To organise the field-trips to Hi-Tech companies in Vietnam and UK: Samsung, VinFast, BMW.

UK-ASEAN Network of Excellence and Hi-Tech Hub in Smart Manufacturing & Industry 4.0

5+ core partners in the UK: UoG, CU, UoB, PORT, NCL, UCL)

9+ core partners in VN (LQDTU, HUST, HCMUT, UTEHY, NTU, VJU, SHTP, HHTP, Vingroup).

There are also 10+ collaborative partners from Thailand, Malaysia, Japan, & Australia to join NoE & Hi-Tech Hub.

A02 – Road Maps for Sustainable & SM Solutions

ACTIVITY 2: To develop road-maps and strategies for Sustainable and Smart Manufacturing solutions, focusing on AI, IoT, Cloud Computing, Big Data, Collaborative Design, Collaborative Robots & 3D Printing.

TIME LINE: Month 4 – Month 12

MILESTONES: (1) To organise special sections in 02 workshops and 02 training courses in Vietnam (Hanoi and Ho Chi Minh city) with participations from universities, businesses, investors and funding organisations in both the UK and Vietnam; (2) To create the white-paper about SM & Industry 4.0 for Vietnam

A03 - To develop fruitful mentoring, professional training and technology knowledge transfer (KTP) programmes about SM & Industry 4.0, sustainability, Innovation & Entrepreneurship for (a) Group 1: 30+ academic & research staff from Higher Education institutions (HEIs), and (b) Group 2: 20+ mid-level managers from Hi-Tech companies and start-ups in VN.

TIME LINE: Month 2 – Month 12

MILESTONES: (1) To organise special sections with mentoring, professional training and KTP in 02 workshops and 02 training courses in Vietnam (Hanoi and Ho Chi Minh city) and 01 workshop the UK with participations from universities, businesses, investors and funding organisations in both the UK and Vietnam; (2) To provide the online seminars, meetings and training about development of research proposals, surgeries for improving the quality of research proposals.

A04 – Collaborative R&D and Case Studies

ACTIVITY 4: To co-implement industrial case-studies and collaborative R&D activities in SM & Industry 4.0, to enhance profiles, numbers and quality of research outputs.

TIME LINE: Month 2 – Month 12

MILESTONES: (1) To develop industrial case-studies and collaborative R&D activities in SM & Industry 4.0 for partners to co-work and network; (2) To co-author the peer-review papers; (3) To co-chair sections at international conferences to disseminate the R&D outcomes and expand the R&D collaborative network

NEXT STEPS – KEY POINTS & ACTION PLANS

1. Selection of 5 persons from Vietnam to spend 06 months in the UK:

Must be key person of the core partners or associate partners of a project

Must contribute to the outcomes of a project

If a visiting researcher from the associate partners, we only provide the partial support of the finance: Living Cost

Must spend minimum of 4 months in the UK.

2. Selection of 5 senior persons from Vietnam to spend 01 week:

Core and long-term partnership colleagues and team-members

Leaders or key-decision makers

Big data analytics-based optimization of process parameters for a smart manufacturing shop floor consisting of a CNC machine and a Robot

This research project is aimed to tackle these technical and economic opportunities and challenges, with the focus on the development of a smart manufacturing shop floor consisting of a CNC machine and an industrial robot. First, a real smart manufacturing shop floor will be designed and integrated. Second, Big Data Analytics based intelligent control algorithms for the system will be constructed and implemented. Third, a platform of real-time monitoring and fault diagnosis for the system will be implemented. Last, a pilot application of the implemented manufacturing shop floor including hardware and software will be deployed at The No. 17 Mechanical One Member Limited Company, Dong Xuan, Soc Son, Hanoi, Vietnam.

The success of this project will directly lead to the ownership of smart manufacturing technologies in Vietnam, especially cost-effective developments for smart manufacturing systems, reducing dependences on foreign technologies, and opening potential market opportunities for smart manufacturing solutions for SMEs in Vietnam and developing countries.

This research project is aimed to develop a big data analytics platform incorporated with machine learning and soft computing methods for optimization of the process performance of a smart manufacturing shop floor. The specific objectives of the project are proposed as follows:

(1) Objective O1: Realization of a novel cyber-physical manufacturing shop floor, based on the big data analytics approach. The shop floor consists of a given CNC milling machine[1] and a given welding robot.

(2) Objective O2: Construction of new big data-driven optimization models for real time-optimization of the process parameters (i.e. the feed rate and spindle speed of a CNC milling machine, and the feed rate and welding current of a welding robot) of the smart manufacturing shop floor.

(3) Objective O3: Investigation and implementation of a big data analytics-based system for process monitoring and fault diagnosis for the smart manufacturing shop floor.

(4) Objective O4: Deployment of one application in the manufacturing industry, namely a cyber-physical CNC machine-robot system.