Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

Abstract

In the wake of the continuous deepening of the application of new generation information technology in the manufacturing field, digital twin, as a most new active factors for smart manufacturing, has become a new research hot spot. Based on such a background, the article proposes a novel application framework of digital twin-driven product smart manufacturing system and analyzes its operation mechanism. Key enabling technologies such as digital twin mapping technology with manufacturing entity, twinning of cyber and physical manufacturing system, as well as twining data-driven machining parameter optimization are also illustrated in detail. Finally, a case of the aeroengine fan blade manufacturing is given to demonstrate the feasibility and effectiveness of the implementation method mentioned above. Meanwhile, potential industrial applications and limitations are discussed as well to provide valuable insights to aeroengine blade manufacturers.

Digital Twin in Aerospace Industry: A Gentle Introduction

“…Therefore, the application of DT is broader, but also relatively difficult to achieve [57]. In this case, there is an interest in research on combining DT and CPS [58], [59] so as to create an integrated system. In the integrated system, CPS is in charge of the machine control and links cyberspace with the digital production line, while DTs are used to improve the manufacturing process visualisation and data collection, storage and analysis.…”

“…torque, pressure, speed, vibration, voltage, current, temperature, voice and thermal imaging) that can be collected, the types of sensors to choose from have also become diverse. Meanwhile, new sensor types are emerging and already prove their value in specific tasks, such as RFID [58], [66], intelligent sensors (e.g. light sensor monitoring label, current monitoring label and industrial sensor), laser sensor [80] and camera based visual sensor [137], [138].…”

Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review

“…From the perspective of the life cycle, the most numerous phases are monitoring [30][31][32][34][35][36][37]47] and manufacturing [27,[39][40][41]45,51]. In addition, there is currently a certain amount of research in the prediction [14,25,26,44,46] and design [27,38,42] phases, and many scholars are also concerned about the operation and maintenance [29,43,51] phase.…”

“…Thus, in recent years, most of the research has been related to turbomachinery assets. There are some studies that have established a complete system or platform [26,30,[35][36][37][38]43,52]; however, more research has only proposed a framework or model of the DT [14,24,25,[27][28][29][31][32][33][34][39][40][41][42][44][45][46][47][48][49][50][51], and turning them into practical applications remains to be studied. A practical assembly site which is consisted by coordination element, coordination relationship, and control method for coordination accuracy Notes: "Yes" or "No" under Sustainability: The object has sustainability or not; "-": Related information is not available from the source.…”

Readiness levels of Industry 4.0 technologies applied to aircraft manufacturing—a review, challenges and trends

“…Thus, several studies show an approach between I4.0 technologies and their use in the aircraft sector for its business strategy, looking for a boost of efficiency, reliability, and innovation when applied into the manufacturing processes [9,12,13]. Also, the implementation of the I4.0 technologies on the aircraft production shop floor has been demonstrated to be a strategic initiative to change the company mentality in terms of advanced manufacturing gains, enabling a greater level of automatization, efficiency, and flexibility to be achieved in the overall process [5,[14][15][16].…”