Experimental study on FDM 3d printed object & position analysis using multicriteria decision-making process

Abstract

Nowadays additive manufacturing is a very unique process of making objects layer by layer. The additive manufacturing process has been improved, but the additive production process is not going much further than the subtraction manufacturing process. In this study, the integrated structure of multicriteria decision making analysis process for position selection analysis in additive manufacturing has been investigated. Primarily, measurable data was evaluated using a multi-standard decision-making process without the decision-maker's choice. In contrast, a decision maker's preferences are qualitatively analyzed using the analytic hierarchy process and multi-objective optimization on the basis of the ratio analysis technique. In this study, a special combination production process such as fused deposit modeling is used and this case study has shown a good agreement with experiment. Further, printing time of analytic hierarchy process and multi-objective optimization on the basis of the ratio analysis method has been compared in this study. Among various orientation, PLA_Position-2 has been identified as most efficient alternative.