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Response surface method for optimisation of SLA processing parameters

El-Sayed, Mahmoud Ahmed; El-Nakeeb, Nour; Shyha, Islam; Ghazy, Mootaz


Mahmoud Ahmed El-Sayed

Nour El-Nakeeb

Mootaz Ghazy


In the current study, response surface method (RSM) was applied to correlate stereolithography (SLA) process parameters such as layer thickness, hatch overcure, and part orientation to SLA part characteristics such as density, surface finish and ultimate tensile strength (UTS). The results showed that density was directly proportional to the hatch overcure but inversely affecting the layer thickness. Besides, the hatch overcure was shown to have a positive effect on the UTS, while the layer thickness was found to influence the UTS adversely. Furthermore, the relationship between the layer thickness and surface roughness was suggested to be directly proportional. The optimised values of process parameters indicated by the response surface model were 90°, 0.12 mm and 0.1 µm for the part orientation, hatch overcure and layer thickness, respectively. The corresponding predicted density, UTS and surface roughness of an SLA part were 1,098 kg/m3, 42.8 MPa and 5.31 µm, respectively.

Journal Article Type Article
Online Publication Date May 6, 2022
Publication Date 2022
Deposit Date Jun 8, 2022
Publicly Available Date May 7, 2023
Journal International Journal of Materials and Product Technology
Print ISSN 0268-1900
Electronic ISSN 1741-5209
Publisher Inderscience
Peer Reviewed Peer Reviewed
Volume 64
Issue 3/4
Pages 222-241
Keywords stereolithography; SLA; additive manufacturing; response surface method; RSM; process parameters; design of experiments; DoEs
Public URL


Response Surface Method For Optimisation Of SLA Processing Parameters (accepted version) (1.2 Mb)

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