The Implementation of Analytic Hierarchy Process To Determine the Optimal FDM Process Parameters

• Auteur principal: Harhara, Sohaib Mohammed Nasser
• Format: Thèse
• Langue: anglais; anglais
• Publié: 2021
• Sujets: TA Engineering (General). Civil engineering (General)
• Accès en ligne: http://eprints.utem.edu.my/id/eprint/26844/1/THE%20IMPLEMENTATION%20OF%20ANALYTIC%20HIERARCHY%20PROCESS%20TO%20DETERMINE%20THE%20OPTIMAL%20FDM%20PROCESS%20PARAMETERS.pdf; http://eprints.utem.edu.my/id/eprint/26844/2/THE%20IMPLEMENTATION%20OF%20ANALYTIC%20HIERARCHY%20PROCESS%20TO%20DETERMINE%20THE%20OPTIMAL%20FDM%20PROCESS%20PARAMETERS%2024%20pages.pdf

Fused Deposition Modeling (FDM) offers several advantages such as the use of less expensive material and also the building of complex geometry. However, FDM also has some limitations such as the appearance of seam lines between layers and the production of excess material residue leading to poor surface finish. To counter this, researchers have proposed that better surface finishing could be achieved through optimal build orientation, (ii) slicing technique, (iii) optimization of manufacturing parameters, and (iv) postprocessing. This project introduces an alternative way to improve the surface roughness and dimensional accuracy concurrently during the FDM process to improve the quality of the printed product. This project aims to apply the Analytic Hierarchy Process (AHP) method to determine the optimal process parameters of the FDM process. Besides, to emblement, the AHP assisted FDM it is necessary to evaluate the capability of the FDM process for producing parameters. The AHP analysis has been conducted to calculate the weights of the different criteria that affect each factor (Surface Roughness and Dimensional Accuracy). The weights were verified by the consistency analysis and confirmed by referring to other studies. An example was shown to clarify how the calculated weights can be used in choosing the best material. This mathematical proof that our approach can be used in industrial applications to choose the best ABS materials without the need to conduct any experiments as our calculative approach saves all the time and cost and just as accurate and efficient.