Exploiting the generative design potential to select the best conceptual design of an aerospace component to be produced by additive manufacturing

Pilagatti, Adriano Nicola; Atzeni, Eleonora; Salmi, Alessandro

doi:10.1007/s00170-023-11259-7

Cited by 11 publications

(5 citation statements)

References 54 publications

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“…This streamlines the design process, reducing time and resources. Demonstrating its efficiency through an aerospace case study, a study undertaken by Pilagatti et al 60 emphasizes GD's ability to offer diverse solutions and its potential to support designer creativity amid a dynamic manufacturing environment.…”

Section: Materials Choices and Manufacturing Methodsmentioning

confidence: 99%

Rovers with Rocker-Bogie Mechanisms: A review of progress and innovations in design, manufacturing, and control

Rajath,

Shivakumar,

Pradhan

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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Rovers equipped with Rocker-Bogie mechanisms have emerged as pivotal assets in the domains of interplanetary and terrain exploration. To carry out scientific investigations, Rovers have undergone significant advancements. This review comprehensively examines the progress and innovations associated with the design, manufacturing, and control of these robotic systems. The Rocker-Bogie Mechanism and its kinematic variations available are identified and discussed. Given the importance of kinematic studies, viewpoints on wheel-terrain interaction and framework models for analyses are presented. A key limitation in the analyzed papers was the restriction of choice of design process to the conventional method for which, an approach to design through a Generative Design algorithm has been indicated. The studies indicated the material choice of Titanium and other alloys, the manufacturing choice of Additive Manufacturing which has been analyzed, for which suggestions for advancements and alternatives are highlighted. It was observed that a standard and general procedure to automate the operations of the rovers is still lacking. This review can provide a guide for new advancements in Rocker-Bogie-based rovers.

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Section: Materials Choices and Manufacturing Methodsmentioning

confidence: 99%

Rovers with Rocker-Bogie Mechanisms: A review of progress and innovations in design, manufacturing, and control

Rajath,

Shivakumar,

Pradhan

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Pilagatti et al used GD to explore optimal aerospace component re-design, ranking outcomes based upon their mass [23]. Similarly, Buonamici et al used Fusion 360 ′ s GD package to perform static structural design of a robotic gripper arm [24].…”

Section: Variability In Gdmentioning

confidence: 99%

Investigating and Characterizing the Systemic Variability When Using Generative Design for Additive Manufacturing

Peckham,

Elverum,

Hicks

et al. 2024

Applied Sciences

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This paper demonstrates the unpredictability of outcomes that result from compounding variabilities when using generative design (GD) coupled with additive manufacturing (AM). AM technologies offer the greatest design freedom and hence are most able to leverage the full capability of generative design (GD) tools and thus maximize potential improvements, such as weight, waste and cost reduction, strength, and part consolidation. Implicit in all studies reported in the literature is the fundamental assumption that the use of GD, irrespective of user experience or approach followed, yields high-performing and/or comparable design outputs. This work demonstrates the contrary and shows that achieving high performance with GD tools requires careful consideration of study setup and initial conditions. It is further shown that, when coupled with the inherent variability of AM parts, the potential variation in the performance of the design output can be significant, with poorer designs achieving only a fraction of that of higher-performing designs. This investigation shows how AM by Material Extrusion (MEX), which is used to manufacture components with polylactic acid (PLA), varies through different design pathways, bridging MEX and GD. Through a practical study across nine independently generated designs, the breadth of performance—due to initial GD conditions and MEX part strength unpredictability—is shown to reach 592%. This result suggest that current GD tools, including their underlying workflows and algorithms, are not sufficiently understood for users to be able to generate consistent solutions for an input case. Further, the study purports that training and consideration on GD setup are necessary to apply GD toolsets to achieve high-performing designs, particularly when applied in the context of MEX.

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“…Generative design is an intelligent design approach (Wang et al, 2021) that supports the automated design of products and is widely used in architectural (Singh and Gu, 2012) and industrial design (Krish, 2011;Pilagatti et al, 2023;Plocher and Panesar, 2019). Therefore, automated design is a promising approach for creating complex AM parts (Park et al, 2020;Lim et al, 2018;Leung et al, 2019;Buechler et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Generative design is an intelligent design approach (Wang et al. , 2021) that supports the automated design of products and is widely used in architectural (Singh and Gu, 2012) and industrial design (Krish, 2011; Pilagatti et al. , 2023; Plocher and Panesar, 2019).…”

Section: Introductionmentioning

confidence: 99%

A novel design model of flow channel paths for additive manufacturing

Li,

Wang,

Dai

2024

RPJ

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Purpose This paper aims to propose a method for automatic design of additive manufacturing (AM) flow channel paths driven by path length and pressure loss. The research focuses on the automatic design of channel paths, intending to achieve the shortest flow channel length or minimum pressure loss and improve the design efficiency of AM parts. Design/methodology/approach The initial layout of the flow channels is redesigned to consider the channels print supports. Boundary conditions and constraints are defined according to the redesigned channels layout, and the equation consisting of channel length and pressure loss is used as the objective function. Then the path planning simulation is performed based on particle swarm algorithm. The proposed method describes the path of flow channels using spline cures. The spline curve is controlled by particle (one particle represents a path), and the particle is randomly generated within the design space. After the path planning simulation is completed, the generated paths are used to create 3D parts. Findings Case study 1 demonstrates the automatic design of hydraulic spool valve. Compared to conventional spool valve, the pressure loss was reduced by 86% and the mass was reduced by 83%. The design results of case study 2 indicate that this approach is able to find the shortest channel path with lower computational cost. Originality/value The automatic design method of flow channel paths driven by path length and pressure loss presented in this paper provides a novel solution for the creation of AM flow components.

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Exploiting the generative design potential to select the best conceptual design of an aerospace component to be produced by additive manufacturing

Cited by 11 publications

References 54 publications

Rovers with Rocker-Bogie Mechanisms: A review of progress and innovations in design, manufacturing, and control

Rovers with Rocker-Bogie Mechanisms: A review of progress and innovations in design, manufacturing, and control

Investigating and Characterizing the Systemic Variability When Using Generative Design for Additive Manufacturing

A novel design model of flow channel paths for additive manufacturing

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