41 research outputs found
sj-docx-2-pbi-10.1177_10983007231200540 – Supplemental material for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support
No full textSupplemental material, sj-docx-2-pbi-10.1177_10983007231200540 for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support by Rachel Freeman, Jessica Simacek, Jennifer Jeffrey-Pearsall, Seunghee Lee, Muna Khalif and Quinn Oteman in Journal of Positive Behavior Interventions</p
sj-docx-1-pbi-10.1177_10983007231200540 – Supplemental material for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support
No full textSupplemental material, sj-docx-1-pbi-10.1177_10983007231200540 for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support by Rachel Freeman, Jessica Simacek, Jennifer Jeffrey-Pearsall, Seunghee Lee, Muna Khalif and Quinn Oteman in Journal of Positive Behavior Interventions</p
sj-docx-3-pbi-10.1177_10983007231200540 – Supplemental material for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support
No full textSupplemental material, sj-docx-3-pbi-10.1177_10983007231200540 for Development of the Tiered Onsite Evaluation Tool for Organization-Wide Person-Centered Positive Behavior Support by Rachel Freeman, Jessica Simacek, Jennifer Jeffrey-Pearsall, Seunghee Lee, Muna Khalif and Quinn Oteman in Journal of Positive Behavior Interventions</p
sj-docx-1-bmo-10.1177_01454455231218742 – Supplemental material for A Meta-Analysis of Treatment for Self-Injurious Behavior in Children and Adolescents With Intellectual and Developmental Disabilities
No full textSupplemental material, sj-docx-1-bmo-10.1177_01454455231218742 for A Meta-Analysis of Treatment for Self-Injurious Behavior in Children and Adolescents With Intellectual and Developmental Disabilities by Timothy R. Moore, Seunghee Lee, Rachel Freeman, Maryam Mahmoundi, Adele Dimian, Amy Riegelman and Jessica J. Simacek in Behavior Modification</p
Efficient numerical modeling of liquid infusion into a porous medium partitioned by impermeable perforated interlayers
No full textThis is the peer reviewed version of the following article: Moretti, L, Simacek, P, Advani, SG. Efficient numerical modeling of liquid infusion into a porous medium partitioned by impermeable perforated interlayers. Int J Numer Methods Eng. 2022; 1- 18. doi:10.1002/nme.7161, which has been published in final form at https://doi.org/10.1002/nme.7161. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. This article will be embargoed until 11/02/2023.Numerical modeling of flow through porous media and the simulation of liquid flow through orifices, channels and perforated walls, membranes, interlayers find applications in various fields. However, the mesh refinement needed to describe the detail at the scale of orifices within a domain multiple orders of magnitude larger raises numerical challenges. The present work proposes a pragmatic solution to model perforated layers partitioning a large porous media domain using 1D elements to model the holes and connect the 3D elements which represent the porous media. As an illustration, the approach is applied in liquid composite molding processes, and to the processing of large thick panels toughened with perforated interlayers. However, this work could be adopted in numerous fields. The combination of 3D and 1D elements to manage components with different dimensions has been used before, however no proper analysis of the loss of accuracy introduced has been conducted to our knowledge. A systematic parametric study is conducted to quantify the impact of the length of the domain, the number of interlayers, the diameter of the holes and the viscosity of the fluid on the loss of accuracy. Meshing rules and directions are provided to improve the accuracy of the simulations.Research was sponsored by the Army Research Laboratory and was
accomplished under Cooperative Agreement Number W911NF-18-2-0299. The views and
conclusions contained in this document are those of the authors and should not be interpreted
as representing the official policies, either expressed or implied, of the Army Research
Laboratory or the US Government
Use of Flow Simulation to Develop Robust Injection and Vent Schemes that Account for Process and Material Variability in Liquid Composite Molding Process
No full textIn Liquid Composite Molding (LCM) processes, the process design requires an infusion and venting scheme which will saturate all the empty spaces between the fibers during mold filling resulting in a composite part without voids. However, the inherent material and process variability can change the filling patterns significantly which complicate this task. The objective of this work is to develop methodologies and tools to automate infusion process design and integrate it within the CAD design environment. The methodologies and algorithms developed examine the designed part geometry and material layups for ease of manufacturing with feasible infusion schemes by accounting for the inherent variability of the material and preform layup during the infusion processes. To accomplish this, the integrated tool has to automatically identify possible regions that are likely to introduce variability in resin flow, such as racetracking channels near corners, edges and inserts, which will cause dramatically different resin flow patterns and could result in voids. These possible scenarios are then simulated and evaluated to formulate an injection and venting scheme that is sufficiently robust to manufacture a part without any voids despite these variations. An example is presented to demonstrate the methodology of infusion design which identifies and accounts for material variability introduced due to geometric features
Fast Mold Filling Simulation Based on the Geodesic Distance Calculation Algorithm for Liquid Composite Molding Processes
No full textIn Liquid Composite Molding (LCM) processes, resin is introduced into a stationary fiber reinforcement placed in the mold, until the reinforcement gets fully saturated with resin and all volatiles are vented out of the part. Finite element based software packages have been developed to simulate the mold filling process and eliminate expensive and tedious trial and error practices to arrive at a successful mold filling without any voids. However, the non-homogeneity of the fiber reinforcement material and its placement and layup in the mold creates a large degree of variability of flow patterns during the resin impregnation process. Executing simulations for every possible permutation of flow scenarios, which is required to devise a robust process design is computationally expensive. Therefore, it is necessary to find faster approximate mold filling simulation methods so that all simulations can be performed within a reasonable time frame.
In this paper, a discretized one-dimensional flow model is developed to predict the fill time based on the distance resin travels. Combined with Dijkstra’s algorithm, this model is then implemented on spatial surface meshes to calculate fill time for each node and generate flow development pattern. The computational model developed can predict the mold filling pattern for complex parts even with variable permeability or thickness of the fiber preform, and can capture the disturbed flow behavior along any difficult geometric features at a fraction of the computational cost. Case studies are presented to demonstrate the efficiency and accuracy of the distance-based model
