Masoumeh Pourali

ORCID: 0000-0002-3453-2289
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About
Contact & Profiles
Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Polymer crystallization and properties
  • Manufacturing Process and Optimization
  • Additive Manufacturing Materials and Processes
  • biodegradable polymer synthesis and properties
  • Injection Molding Process and Properties
  • Aluminum Alloys Composites Properties
  • Interactive and Immersive Displays
  • Aluminum Alloy Microstructure Properties
  • Metallurgy and Material Forming
  • Adsorption and biosorption for pollutant removal
  • Mechanical Behavior of Composites
  • 3D Printing in Biomedical Research
  • Advanced Welding Techniques Analysis
  • Graphene research and applications
  • Metal Forming Simulation Techniques
  • Photopolymerization techniques and applications
  • Machine Learning in Materials Science
  • Extraction and Separation Processes
  • Polymer composites and self-healing

University of Massachusetts Lowell
2019-2024

Babol Noshirvani University of Technology
2020

Tarbiat Modares University
2017

Machine learning techniques were used to predict tensile properties of material extrusion-based additively manufactured parts made with Technomelt PA 6910, a hot melt adhesive. An adaptive data generation technique, specifically an active process based on the Gaussian regression algorithm, was employed enable prediction limited training data. After three rounds collection, machine models linear regression, ridge and K-nearest neighbors tasked predicting for test dataset, which consisted...

10.1038/s41598-023-38527-6 article EN cc-by Scientific Reports 2023-07-15

10.1016/j.addma.2021.102110 article EN publisher-specific-oa Additive manufacturing 2021-06-17

In this work, a heat transfer model is developed for thermally-driven material extrusion additive manufacturing of semicrystalline polymers that considers the generated during crystallization by coupling kinetics with transfer. The materials used in work are Technomelt PA 6910, hot melt adhesive sub-ambient glass transition temperature (T

10.1038/s41598-024-77635-9 article EN cc-by-nc-nd Scientific Reports 2024-11-01

ABSTRACT Shape transformation upon annealing of fused filament fabrication additively manufacturing structures is investigated as a one‐way shape memory strategy using commodity thermoplastics. Irreversible thermal strain, which measurement annealing, shown to depend on both raster angle and layer thickness, are parameters than can be easily adjusted most FFF printers. We present an algorithm based our understanding the underlying micromechanics system that allows for input desired final...

10.1002/app.48239 article EN Journal of Applied Polymer Science 2019-07-13

In this work, a polyamide hot melt adhesive (Technomelt PA 6910) and its glass filled composite (Loctite 3D were evaluated as feedstocks for desktop-scale thermally-driven material extrusion additive manufacturing (AM). Technomelt 6910 is semicrystalline polymer with sub-ambient transition temperature, intermediate melting low recrystallization temperature. This paper aims to study the effect of fibers toolpath on mechanical properties, warpage, dimensional accuracy prints. Glass improved...

10.2139/ssrn.4096282 article EN SSRN Electronic Journal 2022-01-01
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