A 2D numerical benchmark of an air Ranque-Hilsch vortex tube based on a fractional factorial design

Lagrandeur, Junior; Croquer, Sergio; Poncet, Sébastien; Sorin, Mikhaı̈l

doi:10.1016/j.icheatmasstransfer.2021.105310

Cited by 10 publications

(2 citation statements)

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“…One concern is that traditional full factorial analysis may be unfeasible when many factors are taken into account (due to a large number of calculations). Fractional factorial analysis (FFA) is effective for quantifying the significance of factors by carrying out a small number of computed cases, which decreases the calculation cost and ensures result accuracy [23]. FFA has been successfully used in experimental designs for detecting response sensitivity [24][25][26].…”

Section: Literature Reviewmentioning

confidence: 99%

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A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

Liu

Huang

et al. 2021

Sustainability

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Effective management of an urban solid waste system (USWS) is crucial for balancing the tradeoff between economic development and environment protection. A factorial ecological-extended physical input-output model (FE-PIOM) was developed for identifying an optimal urban solid waste path in an USWS. The FE-PIOM integrates physical input-output model (PIOM), ecological network analysis (ENA), and fractional factorial analysis (FFA) into a general framework. The FE-PIOM can analyze waste production flows and ecological relationships among sectors, quantify key factor interactions on USWS performance, and finally provide a sound waste production control path. The FE-PIOM is applied to managing the USWS of Fujian Province in China. The major findings are: (i) waste is mainly generated from primary manufacturing (PM) and advanced manufacturing (AM), accounting for 30% and 38% of the total amount; (ii) AM is the biggest sector that controls the productions of other sectors (weight is from 35% to 50%); (iii) the USWS is mutualistic, where direct consumption coefficients of AM and PM are key factors that have negative effects on solid waste production intensity; (iv) the commodity consumption of AM and PM from other sectors, as well as economic activities of CON, TRA and OTH, should both decrease by 20%, which would be beneficial to the sustainability of the USWS.

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Section: Literature Reviewmentioning

confidence: 99%

“…The PIOM originates from the monetary IOM proposed by Leontief, and can reflect urban solid waste flows among sectors and investigate the multiple sectoral linkages [5,23]. The basic form of IOM can be presented as [27]:…”

Section: Physical Input-output Modelmentioning

confidence: 99%