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Solidworks 2015

Manufactured by Dassault Systèmes
Sourced in United States, France

SolidWorks 2015 is a computer-aided design (CAD) software application developed by Dassault Systèmes. It provides a platform for three-dimensional (3D) modeling, engineering, and design. The software enables users to create, simulate, and analyze 3D models of various products and components.

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9 protocols using solidworks 2015

1

Microfluidic Chip Design for Cancer Cell Capture

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The microfluidic chip was comprised of two layers. The first layer (capture layer) was 6-mm diameter, mechanically punched rounds made out of GF/D or G041 glass fiber substrates, for preloading antibody-conjugated particles and initial capturing of whole cancer cells (Figure 1A). The second layer (flow layer) was designed using SolidWorks 2015 software (Dassault Systèmes, Vélizy-Villacoublay, France) and wax-printed (ColorQube 8580, Xerox, Norwalk, CT, USA) on grade 1 chromatography paper for wicking and capillary flow measurements along four channels. The width (2 mm) and length (5 mm) of the four channels on the second flow layer was selected from multiple iterations for a 10 μL sample to be distributed amongst the four channels evenly and to flow along the channel for measurable distances for the smartphone to take a video without magnification or zoom (Figure 1B). After the pattern was printed, chips were cut and melted at about 120°C for 5 min to allow for wax to flow into the paper fibers creating hydrophobic barriers throughout the depth of the paper.
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2

3D Printing of Drug-Loaded Filaments

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To impregnate printing materials with drugs, we used a previously-described oil coating method to coat pellets with the drugs [11 ]. These coated pellets were extruded, using ExtrusionBot filament extruder, at 170 °C into filaments of 1.75 mm diameter. These filaments were then used in the 3D printer to fabricate required constructs. All 3D CAD models were designed using Solidworks 2015 software (Dassault Systems, MA, USA). Makerbot 5th generation desktop 3D printer (MakerBot, Brooklyn, NY, USA) was used to fabricate the constructs. The print-head temperature was maintained at 215 °C at a filament feed rate of 20–23 mm/s and a print-head speed of 12–8 mm/s.
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3

Computational Fluid Dynamics Analysis of Scaffolded Bifurcations

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The modified computational fluid dynamics technique (CFD) was used to assess hemodynamics in the bifurcated scaffold phantoms.[27 (link)–29 (link)] Briefly, the 3D geometry of the scaffolded bifurcation was established based on microCT-generated raw data rather than virtually simulated data. Bifurcation was then segmented using self-developed code and a commercial software package Solidworks 2015 (Dassault Systèmes SolidWorks Corp, Waltham, MA). The fluid domains were subsequently discretized by unstructured tetrahedral/hexahedral mixed cells. Finally, the Navier–Stokes equations for 3D steady flow with rigid wall were solved by commercial CFD code CFX (ANSYS Inc, Canonsburg, PA).
For hemodynamic simulation, blood was assumed to be a viscous incompressible Newtonian fluid with dynamic viscosity 3.5 cP and density 1.06 g/mL.[30 (link)] The arteries were presumed to be nonslip rigid walls, and flow velocity at the vessel inlet was presumed to be fixed at 0.5 m/s. The hemodynamic parameters, including the wall shear stress (WSS) and its distribution, the flow velocity, and its streamlines, were assessed in the bifurcated scaffold phantoms, in particular, focused on BCD.
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4

Computational Modeling of 3D Microfluidic Stenosis

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3D microfluidic model was constructed using Solidworks 2015 (Dassault Systèmes SolidWorks Corp.) and imported to ANSYS Workbench 17 (ANSYS, Inc.) for geometry discretization and numerical simulation using ANSYS FLUENT. Inlet flow velocity was set at 10 μl/min, which corresponded to ∼1 dyn/cm2. Non-slip boundary conditions were applied to all channel walls, and outlet was defined as a pressure outlet with atmospheric pressure. The Navier-Stokes equations were solved using 2nd order accuracy. The Semi-Implicit Method for Pressure-Linked Equations (SIMPLE) scheme was used for pressure-velocity decoupling. All simulations were conducted by using an iterative and segregated solution method. A residual sum for continuity and momentum of 1 × 10−6 was set as a convergence criterion. The working fluid was assumed to be water (homogeneous, single phase, Newtonian fluid, ρ =  993.37 kg/m3, μ  =  0.000692 kg/m s). To reduce computational load, only half of the chip was modelled due to channel symmetry along the midline. Mesh independence study was conducted. The optimized meshes for the 3D stenosis chip with 0%, 50%, and 80% of constrictions consisted of 2160, 86 678, and 137 892 cells, respectively.
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5

Extrusion-Based 3D Printing of Antimicrobial Constructs

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ExtrusionBot filament extruder (ExtrusionBot, LLC; Phoenix, AZ, USA) and a MakerBot replicator 3D printer (MakerBot; Brooklyn, NY, USA) were used for 3D printing. For modeling 3D constructs, Solidworks 2015 (Dassault Systems, MA, USA) was used. For bacterial culture, 100 mm Mueller Hinton agar plates were purchased from Fischer Scientific (Hampton, NH) and Escherichia coli ATCC 11,775 Vitroids 1000 CFU were from Sigma Aldrich (St. Louis, MO, USA). Methotrexate (MTX) and gentamicin sulfate (GS) were ordered from Sigma Aldrich (St. Louis, MO, USA). PLA pellets used for extruding filaments were obtained from Push Plastic (Springdale, AR, USA), KJLC 705 silicone oil used for coating pellets was purchased from Kurt J. Lesker Company (Jefferson Hills, PA, USA).
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6

Fabrication of Versatile Vascular Devices

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In this study, four different designs were selected to fabricate the VRs (Figure 1). The first design (named “traditional”) represented the commercial circular (or torus) shape. As shown in Figure 1, the second “Y” and the third “M” geometries previously proposed by Fu et al. (2018) [17 (link)] were also investigated. In addition, an innovative fourth design (named “flat circle”) was introduced for the functional improvement of VRs.
The VR designs were developed using computer-aided design (CAD) software (SolidWorks® 2015 (Dassault Systèmes SolidWorks Corporation, Waltham, MA, USA)). FDM was selected as the 3D printing technology to fabricate the VRs, and a Dreamer NX (FlashForge, Jinhua City, Zhejiang Province, China) printer was used. Filaments of PVA and PLA were chosen due to their degrees of flexibility in producing flexible and rigid VRs, respectively. The printing parameters were set as follows: extrusion temperature, 205 °C; platform temperature, 50 °C; layer height, 0.18 mm for PVA and 0.21 mm for PLA; printing speed, 20 mm/s for PVA and 80 mm/s for PLA; infill, 30%; infill pattern, line.
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7

Comprehensive 3D Modeling and Simulation

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Mimics17.0 Software (Materialise, Belgium); Geomagic Studio11 (Geomagic, USA); Solid Works 2015 (Dassault systems S.A, USA); ABAQUS 2016 (Dassault systems S.A, USA); Multi-layer spiral CT (GE, USA).
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8

Patient-Specific Left Ventricle Modeling for LVAD

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Computed tomography (CT) angiography was performed on a de-identified rotary blood pump candidate. CT imaging data (335 slices with a thickness of 0.75 mm per slice) was used to extract the LV volume using Mimics (Materialise, Belgium NV). The extracted LV volume was the end systolic volume. In this study, a total heart failure model was used, indicating zero ventricular contractility and, therefore, zero wall motion. Smoothing was completed in 3-matic with all internal voids filled, as seen in Fig. 1. The model was exported as .iges files for manipulation in Solidworks 2015 (Dassault Systèmes SE, Vélizy-Villacoublay, France).

Extracted and processed model of a dilated patient specific left ventricle from CT imaging data. Scale bar represents 20 mm

The left atrium was represented by a 40 mm diameter cylinder with the MV placed adjacent to the aortic valve with guidance from CT data. The aortic valve was not included in the model due to full support by the LVAD: the aortic valve is always closed.
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9

Parametric Modeling of Mitral Valve Geometry

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The MV surface was approximated using a set of parametric equations, as described by Domenichini et al. [19 (link)]. The equations are as follows: xvθ,s=Rcosθ1-scosφ-εRscosφ
yvθ,s=Rsinθ1-skcosφ
zvθ,s=-s21+k2+εcosθ+1-k2cos2θRsinφ where θ was 100 linearly separated points from 0 to 2π; s was 40 linearly separated points from 0 to 1; ε = 0.35 described the symmetry ratio between the anterior and posterior leaflets; k = 0.6 described the ellipticity of the valvular edge; φ=π4 rads described the MV opening angle; and R = 19.5 mm defined the radius of the MV. The radius of the MV was determined by evaluating the patient specific model and fitting the most appropriately sized valve. Generation of the surface plot was performed in MATLAB R2015a (MathWorks, Natick, Massachusetts, United States), as shown in Fig. 2. The MV surface was converted to a .stl file, in MATLAB R2015a, for manipulation in Solidworks 2015 (Dassault Systèmes SE, Vélizy-Villacoublay, France). As the parametric surface does not generate an infinite number of segments for a true circle, which was needed to mate with the cylinder (left atrium), the approximated MV surface diameter was increased from 39 to 40 mm in Solidworks 2015.

Parametric approximation of a mitral valve opened at 45°. Axes are in units of mm. Coloured shading has been included for visualisation purposes

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