PLM as a tool for collaboration in aerospace industries - A review

Mulla, Faraz Mueen; Kulkarni, Vinayak N.; Gaitonde, V. N.; Kotturshettar, B. B.

doi:10.1063/5.0036546

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…It is important that manufactured parts consistently meet standards on safety and quality (Barshilia, 2021;Chai et al, 2021). If problems occur with parts, then it is vital that the manufacturer can trace back through all the processes and supply chains to identify root causes and ensure such problems do not continue (Mulla et al, 2021). Like all technologies, AM is also subject to these regulations and it is important to ensure that machines, materials and processes are appropriate for the planned purpose (Standard, 2012;Vinodh, 2020).…”

Section: Qualification and Certificationmentioning

confidence: 99%

Additive manufacturing a powerful tool for the aerospace industry

Khorasani¹,

Ghasemi

Rolfe

et al. 2021

RPJ

171

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Purpose Additive manufacturing (AM) offers potential solutions when conventional manufacturing reaches its technological limits. These include a high degree of design freedom, lightweight design, functional integration and rapid prototyping. In this paper, the authors show how AM can be implemented not only for prototyping but also production using different optimization approaches in design including topology optimization, support optimization and selection of part orientation and part consolidation. This paper aims to present how AM can reduce the production cost of complex components such as jet engine air manifold by optimizing the design. This case study also identifies a detailed feasibility analysis of the cost model for an air manifold of an Airbus jet engine using various strategies, such as computer numerical control machining, printing with standard support structures and support optimization. Design/methodology/approach Parameters that affect the production price of the air manifold such as machining, printing (process), feedstock, labor and post-processing costs were calculated and compared to find the best manufacturing strategy. Findings Results showed that AM can solve a range of problems and improve production by customization, rapid prototyping and geometrical freedom. This case study showed that 49%–58% of the cost is related to pre- and post-processing when using laser-based powder bed fusion to produce the air manifold. However, the cost of pre- and post-processing when using machining is 32%–35% of the total production costs. The results of this research can assist successful enterprises, such as aerospace, automotive and medical, in successfully turning toward AM technology. Originality/value Important factors such as validity, feasibility and limitations, pre-processing and monitoring, are discussed to show how a process chain can be controlled and run efficiently. Reproducibility of the process chain is debated to ensure the quality of mass production lines. Post-processing and qualification of the AM parts are also discussed to show how to satisfy the demands on standards (for surface quality and dimensional accuracy), safety, quality and certification. The original contribution of this paper is identifying the main production costs of complex components using both conventional and AM.

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Section: Qualification and Certificationmentioning

confidence: 99%

Additive manufacturing a powerful tool for the aerospace industry

Khorasani¹,

Ghasemi

Rolfe

et al. 2021

RPJ

171

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“…Although they can meet the current needs, their application scope and scalability are limited. The existing PLM system has realized the integration of many product data and can serve as the foundation of functional and effective digital twins, but it still needs development in terms of cyber-physical integration and rapid iteration [11,12]. In addition, many characteristics of mechanical products, such as hierarchy, have not been fully utilized in existing research on digital twin modeling.…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Integrated Modeling Method for the Digital Twin of Mechanical Products

Zheng

Lan

2021

Machines

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With the development of information and communication technology, massive amounts of data are generated during the entire lifecycle of mechanical products. However, their isolated and fragmented state hinders further empowerment of smart manufacturing. Digital twins have attracted considerable attention as they enable a user to rebuild all elements of a physical entity in a virtual space, targeted at the effective fusion of data from multiple sources with different formats, while its modeling method still needs further research. In this context, we propose a native, full-element digital twin modeling method for mechanical products. This ontology-based method establishes a unified and computer-understandable model framework for mechanical products by abstracting the essential content and relationships of data and by storing them in a graph database efficiently. The developed model could serve as a data center for the entire lifecycle of the product or could be combined with existing data management systems, integrating the previously isolated, fragmented, and scattered data on various platforms. In addition, the model utilizes the structural characteristics of mechanical products and is developed as a hierarchical digital mapping to better meet the application requirements. Finally, a case study of a helicopter digital twin is presented to verify the proposed method.

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