Objectives:
The innovation of the proposed specialized and customizable Industry 4.0 platform for SM3Es incorporates a blend of multi-physics modeling, machine learning, cloud-based analysis, and digital twin advancements to accelerate productivity, flexibility, and adaptability, all while addressing the distinctive obstacles and limited resources typical of SM3Es. The specific aims of this project include:
1. Develop simulation and prediction models for processing parameters by integrating multi-physics models, machine learning, and real-time identification.
2. Develop sensor network and IoT platform for CNC machines.
3. Design an affordable and secure cloud-based platform for connecting and monitoring multiple CNC machines that enables real-time data collection, fault detection, and intelligent decision-making while ensuring data privacy and protection for SM3Es.
4. Develop an integrated unified smart management platform combining Aim 1.-3. to create an optimized production plan that includes the part’s machining stages, the cycle time of each CNC machine, and parameter settings for each CNC machine for a specific product.
5. Develop a quality management and production monitoring tool utilizing analysis results from Aims 1., 2., and 3. and data collected from the IoT system. This tool incorporates machine learning algorithms for fault detection and decision-making regarding changes to the technological process (dividing tasks and parameters within the process) and adaptive production planning to accommodate these changes.
6. Create a cost-effective digital twin solution for SM3Es, leveraging the NVIDIA Omniverse platform to demonstrate the concept of an Industrial Metaverse for CNC machining.
Activities:
Working Package 1: A data-driven multiphysics modeling and IoT platform
This work package aims to develop an IoT-based data acquisition and control system for CNC machining lines, a modeling framework for machining processes using physical models and machine learning.
Work package 2: Development of a smart process planning system using machine learning and digital twin technology
Work package 3: Quality control system based on data-driven multiphysics modeling.
Work package 4: Proof of concept of Industrial Metaverse based on CoreTech4.0.
Work package 5: Transfer the innovative technology and knowledge produced within this project to wider communities to effectively contribute to Vietnam’s sustainable development.
Impact:
The aim of the project is to provide small and medium-sized mechanical manufacturing businesses in Vietnam with access to the benefits of Industry 4.0 technologies. These technologies include IoT platforms, AI, digital twin, data analytics, and the industrial metaverse. The project offers customized, modular solutions that will help businesses increase productivity, enhance quality, and improve competitiveness both domestically and globally. These solutions align with the “Make in Vietnam” strategy.
The project’s open-access deliverables, such as databases, software libraries, and virtual training environments, utilize the industrial metaverse platform, and are designed to be inclusive. They will democratize access to these technologies and contribute to sustainable economic growth and workforce upskilling. The project’s close collaboration between academia and industry will ensure effective knowledge transfer.
The project will also play a crucial role in enhancing the research capabilities of the research group at Ho Chi Minh City University of Technology. By training a PhD student and five graduate students and facilitating connections between Vietnamese scientists in the country and those abroad, the project will significantly enhance the university’s research potential. The project’s commitment to advancing Vietnam’s industry and academia is evident from the potential establishment of a Smart Factory research center, with the support of VinIF, through the Core-Tech4.0 project.
