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design-of-experiments--doe
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A statistical solution to mitigate functional requirements coupling generated from process (manufacturing) variables integration-part 2: a case study on clarifying the effect of process (manufacturing) variables integration on functional requirements independency
, Article Procedia CIRP, 16 September 2015 through 18 September 2015 ; Volume 34 , September , 2015 , Pages 76-80 ; 22128271 (ISSN) ; Houshmand, M ; Sharif University of Technology
Abstract
In this part of the work, to illustrate the strength of the "partial and semipartial correlation analysis, as the proposed solution described in detail in part 1, we consider design problem of the manufacturing system of a given product based on a set of hypothetical data and show how to explore the most appropriate integration choices in which the (causal) dependencies of the concerned PVs are minimal. Based on the results of this study, we emphasize that incorporating the identified sensitive PVs into the integration process will eventually lead to coupling among a subset of the product's FRs and isolation of these PVs is recommended as an ideal solution. However, sometimes, in the real...
Preparation and characterization of a composite biomaterial including starch micro/nano particles loaded chitosan gel
, Article Carbohydrate Polymers ; Volume 174 , 2017 , Pages 633-645 ; 01448617 (ISSN) ; Bagheri, R ; Solouk, A ; Sharif University of Technology
Abstract
Thermosensitive Chitosan hydrogels which can be injected into defects with minimally invasive approach were prepared. Also starch micro/nano particles were synthesized via water-in-oil (W/O) miniemulsion technique. The starch particles were incorporated into the chitosan hydrogel to prepare injectable thermosensitive hydrogel composites. Tube inverting method, compression tests, swelling studies, XRD, SEM, OM, DLS, UV–vis spectroscopy were used for investigations. Results revealed that increasing crosslinker and surfactant contents and stirring rate leads to particle size reduction. Particle size was modeled using design of experiments (DOE) via the response surface method (RSM). Due to...
Machine learning modeling and DOE-assisted optimization in synthesis of nanosilica particles via Stöber method
, Article Advances in Nano Research ; Volume 12, Issue 4 , 2022 , Pages 387-403 ; 2287237X (ISSN) ; Atashi, P ; Amelirad, O ; Yang, J. K ; Chang, Y. Y ; Kamranifard, T ; Sharif University of Technology
Techno-Press
2022
Abstract
Silica nanoparticles, which have a broad range of sizes and specific surface features, have been used in many industrial applications. This study was conducted to synthesize monodispersed silica nanoparticles directly from tetraethyl orthosilicate (TEOS) with an alkaline catalyst (NH3) based on the sol–gel process and the Stöber method. A central composite design (CCD) is used to build a second-order (quadratic) model for the response variables without requiring a complete threelevel factorial experiment. The process was then optimized to achieve the minimum particle size with the lowest concentration of TEOS. Dynamic light scattering and scanning electron microscopy were used to analyze the...