SUPR
Process Modelling for Manufacturing High Quality Lightweight Composites
Dnr:

NAISS 2024/23-33

Type:

NAISS Small Storage

Principal Investigator:

Abhik Dutta

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2024-01-29

End Date:

2024-11-01

Primary Classification:

20502: Composite Science and Engineering

Allocation

Abstract

This storage allocation will be used for storing files/running simulations associated with one small compute allocation at Dardell (NAISS 2023/22-1085) and one medium compute allocation at Dardell (NAISS 2023/5-526). ---------------------------------------------------------------------------------------------------- Fiber reinforced composite materials are today an important material system for both the aerospace and automotive industry. This stems from their high specific strength and stiffness properties, enabling significant savings in the weight of the final product. Reducing weight is a critical challenge today for both the aerospace and automotive industry. This reduced weight translates to, lower energy consumption and thus emissions from aircraft and vehicles. However, manufacturing complex structures in a time and cost-efficient manner is still a challenge. Defects during the manufacturing process can knockdown the structural properties of the final part manufactured by up-to 40% [1]. Predicting these defects during the design phase can lead to huge savings in cost and enable manufacturing high quality defect-free composites parts. Our research group, here at KTH, has been working on this since 2012, and have been able to develop deep insights/knowledge in this field. Simulations are a key part of this process, see for instance [2]. The complexity of these simulation models are beyond the scope of standard workstations and require the use of supercomputers. Doctoral students, from the group have already been familiar with and put to use small Compute allocations at DARDELL (NAISS 2023/22-1085). We have also recently applied and have been granted a NAISS Medium Compute Allocation at Dardell (NAISS 2023/5-526). However we require more storage allocation to fully utilize the Medium Compute allocation. The storage requested will be used with these compute allocations. Reference: [1] L. D. Bloom, J. Wang, and K. D. Potter, ‘Damage progression and defect sensitivity: An experimental study of representative wrinkles in tension’, Compos. Part B Eng., vol. 45, no. 1, pp. 449–458, Feb. 2013, doi: 10.1016/j.compositesb.2012.05.021. [2] J. Sjölander, P. Hallander, and M. Åkermo, ‘Forming induced wrinkling of composite laminates: A numerical study on wrinkling mechanisms’, Compos. Part Appl. Sci. Manuf., vol. 81, pp. 41–51, Feb. 2016, doi: 10.1016/j.compositesa.2015.10.012. [3] J. P.-H. Belnoue, O. J. Nixon-Pearson, A. J. Thompson, D. S. Ivanov, K. D. Potter, and S. R. Hallett, ‘Consolidation-Driven Defect Generation in Thick Composite Parts’, J. Manuf. Sci. Eng., vol. 140, no. 7, p. 071006, Jul. 2018, doi: 10.1115/1.4039555.