A generic method for multi-criterion decision-making problems in design for additive manufacturing

Huang, Meifa; Chen, Leilei; Zhong, Yanru; Qin, Yuchu

doi:10.1007/s00170-021-06832-x

Cited by 11 publications

(5 citation statements)

References 67 publications

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“…The results show that an experimental run using a tool material of titanium, a grit size of 500, and a power supply of 300 W produces optimum machinability outcomes (Singh et al, 2015). Huang et al (2021) presents a Fuzzy Power Weighted Maclaurin Symmetric Mean (FPWMSM) operator based on Hamacher T-norm and T-conorm (HTT), as well as a generic approach based on this operator for tackling MCDM issues in AM design. The provided technique comprises primarily of fuzzification, normalization, and aggregate of criteria values and the creation of alternative sequences.…”

Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

“…The findings indicate that the technique is practical and successful in capturing the interplay of criterion and risk attitude. decision-makers and lessen the impact of extremes criterion values on decision-making outcomes (Huang et al, 2021). Dobrovolskienė and Pozniak (2021) provides an actual application and comparison of two distinct MCDM methods to evaluate the sustainability of a real estate project.…”

Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

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Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Chand,

Gupta

2024

Prabha Materials Science Letters

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The study was primarily concerned with the dimensional deviation for the part produced in the various alignments A, B, C, & D and selecting the orientation or alignments through the least dimensional deviation. In this work, the part is lying on the base (A), the long edge (B), and the short edge (C), and the part is inclined at 45 degrees (D) to the surface of the base plate. Created the components in a variety of orientations using a multi-jet printer. Further, using experimental data (change in length, width, height and diameter), the model has been developed with a regression-based imperial connection to predict the behavior of MultiJet-three-dimensional (MJP-3D) printed components in various orientations. Because the goal was to anticipate the optimum orientation, the Graph Theory and Matrix Approach Method (GTMA) were utilized towards discover the best orientation. In contrast to other orientations, orientation C is determined to be the optimum manufacturing orientation with the least dimensional variation.

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Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

Section: Background Work On Additive Manufacturingmentioning

confidence: 99%

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Chand,

Gupta

2024

Prabha Materials Science Letters

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“…Huang et al [22] developed a generic approach based on a fuzzy Hamacher power weighted Maclaurin symmetric mean operator for MADM problems in design for AM. This approach was demonstrated using an AM machine and material selection example and an optimal build orientation determination example.…”

Section: Aos In Multiple Problemsmentioning

confidence: 99%

“…To solve the MADM problems in AM, a large number of MADM methods have been applied in recent decades. The MADM methods used mainly include aggregation operators (AOs) [11][12][13][14][15][16][17][18][19][20][21][22], analytical hierarchy process (AHP) , technique for order of preference by similarity to an ideal solution (TOPSIS) [44][45][46][47][48][49][50][51][52][53][54][55][56], deviation function (DF) [57,58], fuzzy synthetic evaluation (FSE) [59,60], graph theory and matrix approach (GTMA) [61], multi-objective optimisation by ratio analysis (MOORA) [62], knowledge value measuring (KVM) [63], vlsekriterijuska optimizacija i komoromisno resenje (VIKOR) [64][65][66], complex proportional assessment (COPRAS) [67,68], analytical network process (ANP) [69], axiomatic design (AD) [70], elimination et choix traduisant la réalité (ELECTRE) [71], preference selection index (PSI) [72,73], best-worst method (BWM) [74,…”

Section: Introductionmentioning

confidence: 99%

Multi-Attribute Decision-Making Methods in Additive Manufacturing: The State of the Art

Qin

Shi

et al. 2023

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Multi-attribute decision-making (MADM) refers to making preference decisions via assessing a finite number of pre-specified alternatives under multiple and usually conflicting attributes. Many problems in the field of additive manufacturing (AM) are essentially MADM problems or can be converted into MADM problems. Recently, a variety of MADM methods have been applied to solve MADM problems in AM. This generates a series of interesting questions: What is the general trend of this research topic from the perspective of published articles every year? Which journals published the most articles on the research topic? Which articles on the research topic are the most cited? What MADM methods have been applied to the field of AM? What are the main strengths and weaknesses of each MADM method used? Which MADM method is the most used one in this field? What specific problems in AM have been tackled via using MADM methods? What are the main issues in existing MADM methods for AM that need to be addressed in future studies? To approach these questions, a review of MADM methods in AM is presented in this paper. Firstly, an overview of existing MADM methods in AM was carried out based on the perspective of specific MADM methods. A statistical analysis of these methods is then made from the aspects of published journal articles, applied specific methods, and solved AM problems. After that, the main issues in the application of MADM methods to AM are discussed. Finally, the research findings of this review are summarised.

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“…The techniques applied to generate alternative orientations mainly include shape feature recognition [51][52][53][54], convex hull generation [55], quaternion rotation [56,57], and triangular facet clustering [58,59]. The techniques used to select an optimal orientation mainly include deviation model [51], weighted sum model [53][54][55]57,58,60], deviation-similarity model [61], ordered weighted averaging operator [56], fuzzy aggregation operators [62,63], and double-layer priority aggregation multi-criterion decision-making [64]. Two-step approaches are generally efficient.…”

Section: Main Existing Work On Am Part Orientationmentioning

confidence: 99%

Description Logic Ontology-Supported Part Orientation for Fused Deposition Modelling

et al. 2022

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Fused deposition modelling (FDM) is well-known as an inexpensive and the most commonly used additive manufacturing process. In FDM, build orientation is one of the critical factors that affect the quality of the printed part. However, the activity of determining a build orientation for an FDM part, i.e., part orientation for FDM, usually relies on the knowledge and experience of domain experts. This necessitates an approach that enables the capture, representation, reasoning, and reuse of the data and knowledge in this activity. In this paper, a description logic (DL) ontology-supported part orientation approach for FDM is presented. Firstly, a set of top-level entities are created to construct a DL ontology for FDM part orientation. Then a DL ontology-supported alternative orientation generation procedure, a DL ontology-supported factor value prediction procedure, and a DL ontology-supported optimal orientation selection procedure are developed successively. After that, the application of the presented approach is illustrated via part orientation on six FDM parts. Finally, the effectiveness and efficiency of the presented approach are demonstrated through theoretical predictions and printing experiments and the advantages of the approach are demonstrated via an example. The demonstration results suggest that the presented approach has satisfying effectiveness and efficiency and provides a semantic enrichment model for capturing and representing FDM part orientation data and knowledge to enable automatic checking, reasoning, query, and further reuse.

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A generic method for multi-criterion decision-making problems in design for additive manufacturing

Cited by 11 publications

References 67 publications

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer

Multi-Attribute Decision-Making Methods in Additive Manufacturing: The State of the Art

Description Logic Ontology-Supported Part Orientation for Fused Deposition Modelling

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