Work

Data-driven optimization of additive composite manufacturing using automated fibre placement: A study on process parameters effects and interactions

Year: 2024

Type: article

Abstract: The influence of process parameters and their interactions on the interlaminar shear strength (ILSS) of additively manufactured CF-PEEK composites was investigated. The composites were made using a hot gas torch (HGT)-based automated fibre placement (AFP) process. Experimental short beam shear (SBS) tests and FEA numerical simulations with bonding models were conducted to generate data. Various process parameter combinations were analysed using full-factorial statistical assessment. Results show that ILSS increases with decreasing deposition speeds and increasing HGT temperatures, with consolidation forces having a milder effect. A strong interaction effect between parameters was observed, and the effect of HGT temperature on ILSS depends on material deposition speed. The optimum ILSS were at low deposition speeds (76 mm/s) with high HGT temperatures (900 °C or 950 °C), also evident in the fracture surfaces . This database can aid smart production planning in additive manufacturing of composites by optimizing process parameters for maximum interlaminar strength .

Source: Composites Part A Applied Science and Manufacturing

DOI: 10.1016/j.compositesa.2024.108599

Authors: Faisal Islam, Matthew J. Donough, Ebrahim Oromiehie, Andrew W. Phillips, Nigel A. St John, B. Gangadhara Prusty

Institutions: UNSW Sydney, Defence Science and Technology Group

Language: English

Topic: Mechanical Behavior of Composites

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $4,520