A techno-economic framework for comparing conventionally and additively manufactured parts for geothermal applications

Price, Christopher; Armstrong, Kristina; Polsky, Yarom; Wang, Annie; Nimbalkar, Sachin; Chesser, Phillip; Post, Brian; Su, Jiann-Cherng

doi:10.1016/j.jmapro.2021.10.028

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Hence, Equation ( 13) is often referred to as the Reduced Strain Closure (RSC) model. Note that when κ ¼ 1, the RSC model in Equation ( 13) reduces to Folgar-Tucker IRD model in Equation (5). In flow fields that promote changes in fiber orientation, such as those found in LAAM nozzle flow, the computation of A depends somewhat on the value of κ, expectedly.…”

Section: Damentioning

confidence: 99%

“…As a low-cost and highly efficient manufacturing approach, LAAM-made composites parts and tooling are experimentally tested and verified in automotive 1,2 (e.g., see Figure 1), navy, 3 and green energy industries, 4 and an increasing number of applications are continuously seen. 5,6 Experimental studies examined the correlations between the macro mechanical performances and microstructural formation of LAAM-produced composite parts. [7][8][9][10][11][12] Nevertheless, to better understand the material behaviors of LAAM-produced parts, it is vital to identify the material flow and associated fiber orientation of the molten feedstock through the nozzle extrusion and the sequential deposition process.…”

Section: Introductionmentioning

confidence: 99%

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A numerical study on the predicted fiber orientation of large area extrusion deposition additive manufactured composites

Wang

2022

Polymer Composites

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The recent‐emerging Large Area extrusion deposition Additive Manufacturing (LAAM) provides a low‐cost and high‐efficient alternative manufacturing approach for industries like automotive and aerospace. Fiber orientation information significantly determines the material performances of LAAM‐produced short fiber reinforced composites. Numerical studies have been performed to better understand the microstructural formation of the fiber orientation in deposited beads. The fully coupled flow/orientation analysis approach has been applied for LAAM deposition flow modeling. In contrast, the orientation analysis is still limited to the classic Folgar‐Tucker Isotropic Rotary Diffusion (IRD) model. This paper employs the advanced principle Anisotropic Rotary Diffusion Reduced Strain Closure (pARD‐RSC) orientation evaluation model to estimate the fiber alignment of the LAAM flows, which is firstly used in the simulations of extrusion deposition flows with free surface boundaries. The effects of constant parameters of the pARD‐RSC model are investigated. It is found that predicted fiber orientation results in the flow end are primarily sensitive to the value of the strain slip factor. The initial fiber orientation condition of the flow inlet is also studied. By comparing the computed results with experimentally reported data, it is found that the initial fiber orientation state of the flow inlet significantly impacts the fiber alignment patterns in the deposited beads.

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Section: Damentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A numerical study on the predicted fiber orientation of large area extrusion deposition additive manufactured composites

Wang

2022

Polymer Composites

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Rapid investment casting: a techno-economic analysis for evaluating VAT photopolymerisation processes

Sartini,

Favi,

Mandolini

2024

Int J Adv Manuf Technol

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Adopting additive manufacturing in investment casting, known as rapid investment casting, can significantly reduce lead time and cost. Despite many publications on these technologies, no quantitative techno-economic analyses refer to rapid investment casting. The paper provides helpful insights and a decision-making approach for replacing conventional production technologies (i.e. wax injection) with additive manufacturing technologies. The study is based on a techno-economic analysis framework. It allows assessing key performance indicators (e.g. crossover points and payback periods) for stakeholders to decide the suitable VAT photopolymerisation processes (i.e. stereolithography, digital light processing, and material jetting) according to specific production scenarios (i.e. load factors). Analytical cost models were developed in the frame of this work to assess the time and cost of the overall manufacturing process of the resin model for investment casting, considering the post-processing stages for each of the technologies investigated. The cost models were used to assess the benefits introduced by additive manufacturing in rapid investment casting. A sensitivity analysis evaluated the impact of energy, material, and labour costs for both key performance indicators (crossover points and payback periods). The techno-economic analysis yielded the following results: (i) crossover points in terms of production costs vary, ranging from thousands of units for small components in the jewellery or fashion industries to a few dozen units for larger parts in the mechanical industry, and (ii) crossover points in terms of time are lower than those related to cost. Additionally, digital light processing is regarded as the most promising technology, offering the best crossover points and payback periods across various scenarios, mainly when 3D printers are used at a low utilisation rate.

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A Survey Study on the Technology and Public Acceptance of Remote Labor*

Nicol

Lu²

2022

IFAC-PapersOnLine

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A techno-economic framework for comparing conventionally and additively manufactured parts for geothermal applications

Cited by 4 publications

References 9 publications

A numerical study on the predicted fiber orientation of large area extrusion deposition additive manufactured composites

A numerical study on the predicted fiber orientation of large area extrusion deposition additive manufactured composites

Rapid investment casting: a techno-economic analysis for evaluating VAT photopolymerisation processes

A Survey Study on the Technology and Public Acceptance of Remote Labor*

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