On the Applicability of Agile Development Methods to Design for Additive Manufacturing

Reichwein, Jannik; Vogel, Sven; Schork, Stefan; Kirchner, Eckhard

doi:10.1016/j.procir.2020.03.112

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…To gain additional insight, an affinity diagram was developed to categorize the codes that were cited twice or more. Affinity diagrams are useful for organizing ideas into categories based on their underlying semantic similarity and assist the identification of patterns and categories that exist in qualitative datasets (Pyzdek, 2003). To develop the affinity diagram shown in Table 1, one of the authors worked independently to code the entries and cluster them into categories.…”

Section: Open-ended Definitions Of Dfammentioning

confidence: 99%

“…In general, many scholars agree that opportunistic DfAM is more relevant to the early, more explorative divergent stages of the design process (Kumke et al, 2018;Laverne et al, 2015;Blösch-Paidosh and Shea, 2019;Design Council, 2005) since these methods aim to stimulate creativity and creative ideas (Watschke et al, 2017;Prabhu et al, 2020a;Barclift et al, 2017). On the other hand, restrictive DfAM methods are proven to be more effective as guidelines (Watschke et al, 2017) to be followed in the later, convergent stages of the design process (Kumke et al, 2018;Prabhu et al, 2018a;Reichwein et al, 2020) where the concept is fixed and the design progresses towards manufacture. Beyond scholars' stances on the role of opportunistic and restrictive DfAM approaches, the two categories have been purposefully used in specific applications concerning design processes and training activities.…”

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Investigating Perceived Meanings and Scopes of Design for Additive Manufacturing

et al. 2021

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The concept of Design for Additive Manufacturing (DfAM) is gaining popularity along with AM, despite its scopes are not well established. In particular, in the last few years, DfAM methods have been intuitively subdivided into opportunistic and restrictive. This distinction is gaining traction despite a lack of formalization. In this context, the paper investigates experts' understanding of DfAM. In particular, the authors have targeted educators, as the perception of DfAM scopes in the future will likely depend on teachers' view. A bespoke survey has been launched, which has been answer by 100 worldwide-distributed respondents. The gathered data has undergone several analyses, markedly answers to open questions asking for individual definitions of DfAM, and evaluations of the pertinence of meanings and acceptations from the literature. The results show that the main DfAM aspects focused on by first standardization attempts have been targeted, especially products, processes, opportunities and constraints. Beyond opportunistic and restrictive nuances, DfAM different understandings are characterized by different extents of cognitive endeavor, convergence vs. divergence in the design process, theoretical vs. hands on approaches.

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Section: Open-ended Definitions Of Dfammentioning

confidence: 99%

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confidence: 99%

Investigating Perceived Meanings and Scopes of Design for Additive Manufacturing

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“…Das pulverbettbasierte Laserstrahlschmelzen (L-PBF) gewinnt unter anderem aufgrund seiner hohen Gestaltungsfreiheiten in einigen Industriezweigen im Vergleich zu anderen Fertigungsverfahren immer mehr an Bedeutung. Die werkzeuglose Fertigung der Bauteile ermöglicht zudem frühe Prototypentests sowie schnelle Designiterationen [1]. Auch die geometrische Komplexität von Bauteilen spielt bei den Herstellungskosten eine untergeordnete Rolle, da diese maßgeblich von der Bauteilhöhe und dem zu belichtenden Bauteilvolumen abhängig sind.…”

Section: Motivation Und Einleitungunclassified

Konstruktive Potentiale einer Mikrostrukturgradierung von topologieoptimierten L-PBF-Bauteilen

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et al. 2021

DS 111: Proceedings of the 32nd Symposium Design for X

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“…Non-assembly mechanisms must be functional. This has led to the shift from design to fabrication and assembly to design for additive manufacturing (DFAM) [6][7][8][9][10][11][12]. In this case, the main objective of the design activity is no longer to ensure the assembly of the mechanisms but to ensure the functionality of non-assembly mechanisms.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Optimize the Relative Clearance for Cylindrical Joints Manufactured by FDM 3D Printing Using a Hybrid Genetic Algorithm Artificial Neural Network and Rational Function

et al. 2021

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Nowadays, FDM technology permits obtaining functional prototypes or even end parts. The process parameters, such as layer thickness, building orientation, fill density, type of support, etc., have great influence on the quality, functionality and behavior of the obtained parts during their lifetime. In this paper, we present a study concerning the possibilities of obtaining certain values for clearance in revolute joints of non-assembly mechanisms manufactured by FDM 3D Printing. To ensure the functioning of the assembly, one must know the relationship between the imposed and measured clearances by taking into account the significant input data. One way is to use the automat learning method with an artificial neuronal network (ANN). The data necessary for the training, testing, and validation of ANN were experimentally obtained, using a complete L 27 Taguchi experimental plan. A total of 27 samples were printed with different values of the following parameters: the infill density, the imposed clearance between the shaft and the hole, and the layer thickness. ANN architecture corresponds to the Hecht–Kolmogorov theorem. Genetic algorithms (GA) were used for the optimization of the output. The Neural Network Toolbox from MATLAB was used for training the network and a hybrid tool genetic algorithm artificial neural network (GA-ANN) was used to minimize the value of the absolute relative clearance (arc). The minimum value of the absolute relative clearance established by GA-ANN was 0.0385788. This value was validated experimentally, with a relative difference of 4%. We also introduced a rational function to approximate the correlation between the input and output parameters. This function fulfills some frontier conditions resulted from practice. In addition, the function may be used to establish the designed clearance in order to obtain an imposed one.

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On the Applicability of Agile Development Methods to Design for Additive Manufacturing

Cited by 17 publications

References 12 publications

Investigating Perceived Meanings and Scopes of Design for Additive Manufacturing

Investigating Perceived Meanings and Scopes of Design for Additive Manufacturing

Konstruktive Potentiale einer Mikrostrukturgradierung von topologieoptimierten L-PBF-Bauteilen

A New Approach to Optimize the Relative Clearance for Cylindrical Joints Manufactured by FDM 3D Printing Using a Hybrid Genetic Algorithm Artificial Neural Network and Rational Function

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