Functionally Graded Materials through robotics-inspired path planning

Eliseeva, O.; Kirk, Tanner; Samimi, Peyman; Malak, Richard J.; Arróyave, Raymundo; Elwany, Alaa; Караман, И.

doi:10.1016/j.matdes.2019.107975

Cited by 36 publications

(7 citation statements)

References 34 publications

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“…Bayesian approaches that enable root cause analysis of quality issues [ 350 , 351 ] have also been proposed. It has also been used for robotics [ 352 , 353 ], robot-inspired path planning [ 354 ], and managing network traffic in computer networks [ 355 ]. Different artificial intelligence (AI) strategies have also been infused into manufacturing-based technologies, such as cybersecurity (Malware detection) [ 356 , 357 ] and augmented reality (AR) systems [ 358 , 359 ], to enable them to operate more autonomously and intelligently.…”

Section: Key Building Blocks Technology Enablers and Innovation Accel...mentioning

confidence: 99%

A Primer on the Factories of the Future

Anumbe

Saidy

Harik

2022

Sensors

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In a dynamic and rapidly changing world, customers’ often conflicting demands have continued to evolve, outstripping the ability of the traditional factory to address modern-day production challenges. To fix these challenges, several manufacturing paradigms have been proposed. Some of these have monikers such as the smart factory, intelligent factory, digital factory, and cloud-based factory. Due to a lack of consensus on general nomenclature, the term Factory of the Future (or Future Factory) has been used in this paper as a collective euphemism for these paradigms. The Factory of the Future constitutes a creative convergence of multiple technologies, techniques, and capabilities that represent a significant change in current production capabilities, models, and practices. Using the semi-narrative research methodology in concert with the snowballing approach, the authors reviewed the open literature to understand the organizing principles behind the most common smart manufacturing paradigms with a view to developing a creative reference that articulates their shared characteristics and features under a collective lingua franca, viz., Factory of the Future. Serving as a review article and a reference monograph, the paper details the meanings, characteristics, technological framework, and applications of the modern factory and its various connotations. Amongst other objectives, it characterizes the next-generation factory and provides an overview of reference architectures/models that guide their structured development and deployment. Three advanced communication technologies capable of advancing the goals of the Factory of the Future and rapidly scaling advancements in the field are discussed. It was established that next-generation factories would be data rich environments. The realization of their ultimate value would depend on the ability of stakeholders to develop the appropriate infrastructure to extract, store, and process data to support decision making and process optimization.

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Section: Key Building Blocks Technology Enablers and Innovation Accel...mentioning

confidence: 99%

A Primer on the Factories of the Future

Anumbe

Saidy

Harik

2022

Sensors

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“…Ma et al [ 80 ] also proposed an adaptive path planning method with varying thickness to successfully fabricate thin-walled parts, but using wire and arc AM. Eliseeva et al [ 81 ] developed a path planning strategy for the successful fabrication of functionally graded compositions in multi-material direct energy deposition systems. Deuser et al [ 82 ] also proposed a path planning method that can successfully print functionally graded compositions, but in material extrusion AM systems with three printheads.…”

Section: Path Planning Strategiesmentioning

confidence: 99%

Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review

Jiang

2020

Micromachines

206

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Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex geometries, integrated assemblies, customized geometry or multifunctional designs can now be manufactured more easily than traditional subtractive manufacturing. Path planning in AM is an important step in the process of manufacturing products. The final fabricated qualities, properties, etc., will be different when using different path strategies, even using the same AM machine and process parameters. Currently, increasing research studies have been published on path planning strategies with different aims. Due to the rapid development of path planning in AM and various newly proposed strategies, there is a lack of comprehensive reviews on this topic. Therefore, this paper gives a comprehensive understanding of the current status and challenges of AM path planning. This paper reviews and discusses path planning strategies in three categories: improving printed qualities, saving materials/time and achieving objective printed properties. The main findings of this review include: new path planning strategies can be developed by combining some of the strategies in literature with better performance; a path planning platform can be developed to help select the most suitable path planning strategy with required properties; research on path planning considering energy consumption can be carried out in the future; a benchmark model for testing the performance of path planning strategies can be designed; the trade-off among different fabricated properties can be considered as a factor in future path planning design processes; and lastly, machine learning can be a powerful tool to further improve path planning strategies in the future.

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“…[4][5][6][7][8] Simultaneously, due to the excellent acoustic performance of FGMs, they are widely concerned by scholars employed as sound-absorbing materials. [9][10][11][12][13] When considering the good impedance matching characteristics of FGMs, FGMs can be widely used in the design of the underwater anechoic coating. Initially, Kang and Bolton 14 proposed a porous elastic wedge and foam layer with spatial gradient characteristics as FGMs, and they found that broadband absorption can be achieved.…”

Section: Introductionmentioning

confidence: 99%

A hybrid acoustic structure for low-frequency and broadband underwater sound absorption

Jia

Jin

Shi

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

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The underwater anechoic coating with local resonant units is an effective method to achieve low-frequency sound absorption. However, the structure obtained in this way is not satisfactory in the sound absorption effect of mid-high frequency bands. Capitalizing on the impedance gradient characteristics of functionally graded materials (FGMs) can improve the impedance matching between the structure and the medium, and enhance the dissipation of sound waves inside the structure. Based on these, we propose an underwater acoustic structure, which can improve and obtain low-frequency and broadband sound absorption performance by embedding local resonators into FGMs. To reveal the sound-absorbing mechanism and further optimize the low-frequency absorption performance of the structure, we conduct quantitative analyses on the parameters of FGMs, the materials and forms of resonators. The results indicate that by appropriately adjusting the studied parameters, different low-frequency sound-absorbing peak can be obtained and the absorption effects are also further improved.

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Functionally Graded Materials through robotics-inspired path planning

Cited by 36 publications

References 34 publications

A Primer on the Factories of the Future

A Primer on the Factories of the Future

Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review

A hybrid acoustic structure for low-frequency and broadband underwater sound absorption

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